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An Assessment of the Readiness for Knowledge Management in the Western Cape Department of Economic Affairs, Agriculture and Tourism
A Research Report
presented to
The Graduate School of Business
University of Cape Town
in partial fulfilment of the requirements for the
Masters of Business Administration Degree
by
Shanil Haricharan and Roland Moollan
November 2001
Supervisor: Mr Kurt April
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ACKNOWLEDGEMENTS
This report is not confidential. The Graduate School of Business may use it freely.
Our heartfelt thanks to our spouses, Hanne and Nichola, and baby Milan for their love support
and understanding.
We wish to thank Dr Harold Wesso, project sponsor, Alex van Breda, Nicollete Fielies, and
Lucinda Williams from the Department of Economic Affairs, Agriculture and Tourism for
their co-ordination of the research project in their department. We also thank the senior
managers who participated in the interviews, and all the staff members who completed the
questionnaire. We appreciate their time and valuable insights into this research.
We are grateful to Associate Professor Trevor Wegner for his valuable advice on the data
analysis.
We are greatly indebted to Kurt April for his insightful comments and guidance on the subject
of knowledge management.
We certify that this report is our own work and all references are accurately reported.
signed:
SHANIL HARICHARAN ROLAND WILLIAM MOOLLAN
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An Assessment of the Readiness for Knowledge Management in the Western Cape
Department of Economic Affairs, Agriculture and Tourism
ABSTRACT
The knowledge-intensive economy implies a need for faster adaptation to an accelerated
change in the environment of public policies and service delivery. The Department of
Economic Affairs, Agriculture and Tourism (DEAAT), in the Provincial Government:
Western Cape, is responsible for the implementation of the Cape Online programme, through
the creation of structures, systems and processes that support e-government.
This research report assesses the knowledge management processes – creation, sharing,
application and retention – in the DEAAT to determine its readiness for knowledge
management initiatives. The research findings indicate an overall moderate level of readiness
for knowledge management with the key inhibitors being the bureaucratic structure and
organisational culture. A framework for the implementation of knowledge management
initiatives is proposed.
KEYWORDS: Knowledge, knowledge management, knowledge economy, knowledge
management processes, public sector, e-government, information and communication
technology
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TABLE OF CONTENTS
1 INTRODUCTION ........................................................................................................................ 8
2 THE KNOWLEDGE ECONOMY AND E-GOVERNMENT ............................................... 10
3 PERSPECTIVES ON KNOWLEDGE ..................................................................................... 21
4 MANAGING ORGANISATIONAL KNOWLEDGE............................................................. 25
5 ANALYTICAL FRAMEWORK FOR KNOWLEDGE MANAGEMENT .......................... 29 KNOWLEDGE CREATION ................................................................................................................................... 29
KNOWLEDGE RETENTION.................................................................................................................................. 34
KNOWLEDGE SHARING ..................................................................................................................................... 35
KNOWLEDGE APPLICATION............................................................................................................................... 36
6 THE INSTITUTIONAL CONTEXT........................................................................................ 37 INFORMATION TECHNOLOGY (IT): ENABLER OR DRIVER ................................................................................. 37
ALIGNMENT OF KNOWLEDGE MANAGEMENT WITH BUSINESS STRATEGY ........................................................ 39
ORGANISATIONAL CULTURE............................................................................................................................. 40
COMMUNITIES OF PRACTICE ............................................................................................................................. 41
7 KNOWLEDGE MANAGEMENT IN THE PUBLIC SECTOR............................................ 42
8 RESEARCH METHODOLOGY.............................................................................................. 45 OBJECTIVES AND HYPOTHESIS.......................................................................................................................... 45
RESEARCH INSTRUMENTS: THEORETICAL UNDERPINNING ............................................................................... 46
SOURCES OF PRIMARY DATA............................................................................................................................ 49
SAMPLING PLAN 50
8.1.1 Sampling Unit Selection ................................................................................................................ 51
DATA COLLECTION 53
8.1.2 Questionnaire Design.................................................................................................................... 53
DATA ANALYSIS 56
8.1.3 Data Preparation .......................................................................................................................... 56
8.1.4 Descriptive Statistical Methods..................................................................................................... 56
8.1.5 Graphical Representations............................................................................................................ 57
8.1.6 Measures of Association................................................................................................................ 57
9 KEY FINDINGS ......................................................................................................................... 60 FACTOR ANALYSIS 61
INHIBITORS TO KNOWLEDGE MANAGEMENT.................................................................................................... 64
10 ANALYSIS AND DISCUSSION............................................................................................... 65 CONCEPTUAL UNDERSTANDING OF KM............................................................................................................ 65
ALIGNMENT OF KNOWLEDGE MANAGEMENT WITH BUSINESS STRATEGY ........................................................ 66
KM PROCESSES IN THE DEAAT....................................................................................................................... 68
INFORMATION AND COMMUNICATIONS TECHNOLOGY...................................................................................... 74
INTER- AND INTRA- DEPARTMENTAL INFORMATION FLOWS............................................................................. 76
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11 KNOWLEDGE MANAGEMENT FRAMEWORK FOR THE DEAAT.............................. 78 CREATING AWARENESS .................................................................................................................................... 78
CHOOSING KNOWLEDGE MANAGEMENT INITIATIVES....................................................................................... 83
12 CONCLUSION ........................................................................................................................... 90
13 REFERENCES ........................................................................................................................... 91
14 APPENDICES APPENDIX 1: SOUTH AFRICAN GOVERNMENT'S SUPPORT FOR ICT
APPENDIX 2: WESTERN CAPE PROVINCIAL GOVERNMENT'S POLICY OBJECTIVES
APPENDIX 3: TRADITIONS OF WEDTERN EPISTEMOLOGY
APPENDIX 4: THE KNOWLEDGE MANGEMENT DIAGNOSTIC QUESTIONNAIRE
APPENDIX 5: DEAAT SENIOR MANAGEMENT INTERVIEWS
APPENDIX 6: DATA FROM QUESTIONNAIRES
APPENDIX 7: BOX AND WISKER PLOTS OF QUESTIONNAIRE SCORES
APPENDIX 8: FACTOR ANALYSIS RESULTS
APPENDIX 9: SCREE PLOT
APPENDIX 10: CHI SQUARED STATISTICS
APPENDIX 11: THEMES EMERGING FROM THE FACTOR ANALYSIS
APPENDIX 12: FACTOR ANALYSIS FINDINGS ON THE QUESTIONS ON KNOWLEDGE
CREATION
APPENDIX 13: FACTOR ANALYSIS FINDINGS ON THE QUESTIONS ON KNOWLEDGE SHARING
APPENDIX 14: FACTOR ANALYSIS FINDINGS ON THE QUESTIONS ON KNOWLEDGE
APPLICATION
APPENDIX 15: FACTOR ANALYSIS FINDINGS ON THE QUESTIONS ON KNOWLEDGE
RETENTION
APPENDIX 16: INTERPRETATION OF THE KNOWLEDGE MANAGEMENT SCORES
APPENDIX 17: GUIDELINE FOR CREATING A KNOWLEDGE ASSET
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LIST OF TABLES
Page
TABLE 1: The transition from the industrial society to the knowledge society ......................4 TABLE 2: Readiness Guide Stages of e-government development.........................................13 TABLE 3: Two Types of knowledge .......................................................................................17 TABLE 4: Distinction between Information management and knowledge management .........32 TABLE 5: The plan from the random selection of a stratified sample.....................................44 TABLE 6: Staff number within the various branches ..............................................................45 TABLE 7: The translation of the Likert scales to the rating of the KM processes ..................47 TABLE 8: The response to the survey questionnaire...............................................................51 TABLE 9: The five major factors extracted from the raw data................................................55 TABLE 10: The theme for the factors associated with knowledge creation .............................55 TABLE 11: The theme for the factors associated with knowledge sharing ..............................56 TABLE 12: The theme for the factors associated with knowledge application ........................56 TABLE 13: The theme for the factors that is associated with knowledge retention .................56
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LIST OF FIGURES
Page
FIGURE 1: The benefits of participating in the networked world.............................................3 FIGURE 2: The facets of the Cape on line program..................................................................10 FIGURE 3: Logical peering network diagram for the Cape on line precint ..............................11 FIGURE 4: Framework for analysis ...........................................................................................24 FIGURE 5: Four modes of knowledge conversion....................................................................25 FIGURE 6: Knowledge sharing in organisations ......................................................................27 FIGURE 7: Classification of marketing research data..............................................................39 FIGURE 8: Profile percentage of responses according to job designation................................52 FIGURE 9: Profile percentages of the responses according to years of service........................52 FIGURE 10: The overall results of the Km processes for the DEAAT......................................53 FIGURE 11: The results for KM processes according to years of service & designation...........54 FIGURE 12: A proposed knowledge management framework for the DEAAT ........................72
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1 INTRODUCTION
In the new millennium, economic opportunities will increasingly lie in people and the
knowledge they have, rather than solely in capital or natural resources. Well-educated
societies, skilled labour forces and economic systems that facilitate the acquisition of
knowledge will achieve sustainable economic growth and development. This development
has profound consequences for societies everywhere.
To usher the Western Cape into the 21st century, the Provincial Government: Western Cape
(PGWC) published a White Paper that committed it to preparing the Western Cape for the
knowledge economy. It states that "to participate successfully in the knowledge economy,
firms will need to become increasingly adept at gaining and applying knowledge, as a vital
component of the continual improvement process they must engage in to stay ahead of their
competitors" (DEAAT, 2001a: 19). For its part, the PGWC has launched an ambitious e-
government programme, Cape Online, in its drive to provide interactive online service
delivery to its constituents
Through the 1990s, concepts and practices evolved that highlighted organisational knowledge
as a critical resource, though generally poorly managed. The assumption was that if more
effort were directed to manage the processes of knowledge creation, sharing, retention, and
application, then the result would be improved organisational performance. Several
disciplines have contributed theoretical insights into how knowledge could be managed:
philosophy, epistemology, economics, information science, sociology, and management.
There is a growing need for models, frameworks, methodologies that can help management to
understand the knowledge management (KM) challenges that apply to their contexts.
This research report will attempt to assess the Department of Economic Affairs, Agriculture
and Tourism’s (DEAAT) readiness for knowledge management initiatives in its position as a
key driver of e-government in the Western Cape. The result of this assessment could lead to
greater understanding of the level of knowledge management processes already present in the
Department and a discovery of the inhibitors to these processes.
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This research will contribute to the almost non-existent repository of empirical studies, within
the public sector in South Africa, on knowledge management. This research report, based on
empirical research, in the Department of Economic Affairs, Agriculture and Transport,
utilises a knowledge management diagnostic model, as a quantitative instrument, with the aim
of developing a KM framework. Descriptive data was also obtained from personal interviews
with top management in the DEAAT.
The authors examine responses to critical questions that underpin KM practice, such as: Does
the Department have an explicit definition of knowledge and KM? Are the knowledge
management processes of creation, sharing, application, and retention of knowledge, within
this department aligned to meeting its strategic objectives? What are the relationships and the
implications of leadership, organisational culture, information technology, business strategy,
and knowledge communities, on its knowledge management processes? How will the
DEAAT leverage its knowledge resources in implementing its e-government initiative, Cape
Online?
The answers to these questions come from understanding the nature and types of
organisational knowledge, the flow of knowledge within the organisation, and how new
knowledge is created and leveraged. The above questions highlight the importance of
assessing and understanding an organization's knowledge position, and its existing intellectual
resources. Such an understanding is needed for identifying the inhibitors to KM, and
formulating a knowledge management strategic framework.
The findings of this research indicate that is no common, explicit or accepted description of
knowledge or KM in the Department; their strategic objectives are not explicitly linked to any
knowledge management objectives; the first principal factor from the data analysis
highlighted the theme of organisational culture and interpersonal relationships; and the overall
diagnostic score indicated a moderate level of readiness for knowledge management. The key
inhibitors to KM are the bureaucratic structure and procedures, the command and control
management style, the organisational culture, and rapid technological changes.
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2 THE KNOWLEDGE ECONOMY AND E-GOVERNMENT
The journey toward becoming a knowledge-centric organisation begins with a discussion of
the new global knowledge world, a commitment from the top to use knowledge management
and achieve knowledge superiority, and a discussion of the benefits of being a knowledge-
centric organisation at the individual, organisational and enterprise levels.
The relatively knowledge-intensive service sector produces more than two-thirds of national
income in advanced economies (e.g., USA, Sweden, and Canada), and 57 percent of South
Africa's GDP. Other sectors, such as agriculture, mining and manufacturing are increasingly
dependent on the application of knowledge to increase production (DEAAT, 2001a).
Figure 1: The Benefits of Participating in the Networked World Source: Readiness for the Networked World: A Guide for Developing Countries: Information Technology Group, Harvard University (2001).
• Increases convenience
and choice for consumers
• Extends market reach for
businesses and supports
fair return on goods and
services
• Allows new business
models to develop
New Opportunities
• Streamlines product and
service delivery
• Increases transparency of
operations
• Reduces transaction costs
Eliminates Barriers
Promotes Efficiency
• Provides access to
information to all on the
network
• Overcomes physical and
virtual isolation
• Permits individuals to
become better informed
of government policies
WHAT ARE THE BENFITS OF PARTICIPATING IN THE NETWORKED WORLD?
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To speed the transition from an industrial society, to a society based on the availability and
leverage of knowledge, it is necessary to change and adjust to the key drivers in our global
economy. Table 1 highlights the key changes and impacts on the government that this
change will drive. It represents the change drivers that the PGWC must undergo in order to
give effect to its policy pronouncements.
Industrial Society The Knowledge Society
Effects on the Market • National competition • Competition on price • Standardised products • Mass consumption • Separation of service &
manufacturing industries
• Global competition • Competition on quality • Customised products • Mass customisation • Integration of service &
manufacturing industries
Effects on production
and organisation
• Mass production • Focus on costs and short-
term gains • Job differentiation and
departmentalism • Seniority gives job security • Centralised and
hierarchical management structures
• Well-established routines
• Flexible production • Focus on innovation and
sustainability • Project work and team
work, and multi-skilling • Competence and
imagination gives job security
• Flatter and decentralised management structures
• Constant evolution of new routines and re-scripting of old routines
Effects on the means
of production
• Fixed capital as most important asset
• Manual work • IT as a supportive tool • Individual knowledge • Separated technologies and
infrastructures
• Human capital as most important asset
• Knowledge work • IT as an enabler • Sharing of knowledge • Integrated technologies
and infrastructures
Table 1: The Transition from the Industrial Society to the Knowledge Society: Key Drivers
Source: Adapted from the Department of Economic Affairs, Agriculture and Tourism. (Western Cape Knowledge Economy White Paper, 2001a)
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The knowledge economy therefore involves fundamentally new ways of working, new
management practices, new competencies amongst employees and a new role for government
and its regulatory agencies. So what does this mean for the public sector in South Africa?
The following challenges faces the government in its pursuit to manage knowledge and to
embrace e-government:
To integrate disparate kinds of knowledge from across functional and organisational
boundaries to create real innovations;
To integrate political and administrative knowledge to improve decision-making and
accountability;
To access and internalise non-traditional knowledge (particularly important where roles
are changing and the fundamental knowledge base is shifting and is displacing
foundational knowledge);
To integrate community knowledge into the production of local services;
To define the role of the provincial government in societal learning and knowledge
management for the region as a whole.
Using the main drivers of e-government - service to citizen and business, cost efficiencies,
economic development, and e-communities - activities and service delivery methods must be
reviewed and reshaped. This will allow the government to take advantage of both the
opportunities presented by the information and communication revolution, and to respond to
the changing demands on the Western Cape (such as the expansion of the service sector, its
demand of a workforce with high-level cognitive skills and continuous learning, and
entrepreneurship and innovation) as it seeks to compete in the knowledge economy of the 21st
Century.
Leaders in many developed countries have placed strong emphasis on the potential of e-
commerce to act as an engine of growth. However, it is only relatively recently that South
African government policy makers have begun to look at the potential of applying the tools
and techniques of e-commerce to the tasks of government. What is the national government's
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understanding of e-government? The E-Commerce Green Paper, published by the national
Department of Communication, defines e-government in more specific terms as “government
use of information communication technologies to offer citizens and businesses the
opportunity to interact and conduct business with government … It is about how government
organises itself; its administration, rules, regulations and frameworks set out to carry out
service delivery and to co-ordinate, communicate and integrate processes within itself”
(Department of Communications, 2001:101).
There are numerous success stories in e-government, with Singapore recognised as current best
practice. The US-based, North Carolina state portal is acknowledged as the best e-government
online portal. Great Britain, Australia, as well as Singapore represent examples of the e-
government provision of portals as a single point of entry, internally and externally, for services
from multiple departments. As governments adjust to the concept of a single point of entry,
they are beginning to rethink how they interact with constituents. Rather than organising the
user's experience around departmental or agency boundaries, they are breaking down these
boundaries to organise information and interactions around the user's needs, e.g., according to
“life events” (Harvard Policy Group, 2001).
Deloitte Research (2000) launched a comprehensive global research initiative in 250 state-level
government departments in Australia, Canada, New Zealand, the United Kingdom and the
United States, focusing on their e-government approaches to customer service. These
governments put more staff on the front lines and set up call centres and informational Web
sites. The most common results of these efforts have been easier customer access (experienced
by 83 percent of the governments), more public recognition of the department (63 percent) and
increases in the number of customers served (57 percent).
Studies by the Organisation for Economic Co-operation and Development's (OECD) Public
Management Committee (PUMA), and the comprehensive report by Accenture, the Markle
Foundation and the United Nations Development Programme (UNDP) (2001) show that
developing countries are making huge investments into ICT, implementing e-government
initiatives, and introducing knowledge management techniques in their public sector, with
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innovative examples, such as public kiosks for online transactions in obtaining a variety of
licences and the payment of rates and taxes in Vijayawada, a small town in India.
President Thabo Mbeki has explicitly supported the development of e-government (Sunday
Times, 28/10/01; Business Day, 23/10/01) as well as the wide adoption of information and
communication technology (ICT) in the country (Appendix 1) emphasising the priority of
this sector and the South African government's commitment to harness the potential of ICT's
for development, the President announced, in his State of the Nation address, on the 9th of
February 2001, the establishment of a Presidential Task Force on Information Society and
Development and a National Commission on the Information Society and Development
(ISD).
The Task Force is made up of some of the world's most influential IT leaders, including the
CEO of SAP AG Hasso Plattner, Hewlett-Packard CEO Carly Fiorina, and Rob Lloyd, Cisco
Systems's Europe and Africa President. The central focus of the Task Force is to assist the
SA government in developing an accelerated ISD strategic framework, identifying barriers
and constraints as well as critical resources required in the future. The first meeting of the
Task Force, held in October 2001, represented President Mbeki's first decisive step towards
developing a well co-ordinated ICT strategy.
A number of national government departments have been addressing the issue of the ICT
revolution. This includes the E-Commerce Green Paper published by the Department of
Communications, Electronic Government - The Digital Future IT Policy Framework by the
Department of Public Service and Administration as well as the White Paper on Science &
Technology by the Department of Arts, Culture, Science and Technology.
Furthermore, e-government is an application of the principles of Batho Pele (People First)
White Paper on Transforming Public Service Delivery (1997). The purpose of the Batho Pele
White Paper is to provide a policy framework and a practical implementation strategy for the
transformation of Public Sector delivery. Of the eight principles of Batho Pele, ‘providing
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more and better information’, and ‘increasing openness and transparency’ (DPSA, 1997: 19-
20) have major implications for e-government strategies.
However, e-government is much more than just another vehicle for government-citizen
interaction, and much broader than just e-commerce or e-business for government. The real
power of e-government lies in its transforming character, i.e., to harness information and
communication technology, adopt new approaches to human resources, re-engineer business
processes, in order to optimise the government’s performance in a knowledge-based
economy. For e-government efforts to be effective and sustainable, it is essential that strong
connections between the front- and the back offices be maintained. Otherwise, the front-end
showcases that mask internal chaos will lose its potential for better service delivery.
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THE CAPE ONLINE PROGRAMME
To prepare the people of the Western Cape for the knowledge economy of the 21st Century is
one of the PGWC provincial policy goals. The Department of Economic Affairs, Agriculture
and Tourism (DEAAT) is responsible for the implementation of the Cape Online programme,
which is expected to specifically address this goal, through the creation of structures, systems
and processes that support e-government. The DEAAT is focusing on the use of ICT to
improve the efficiency and effectiveness government services delivery, and to promote co-
operation and collaboration in the development and operation of ICT between all sectors.
The Knowledge Economy and E-Government (KEE-G) centre, currently in the establishment
phase, will give effect to the Cape Online strategy. This strategy has been designed as a result
of detailed investigation and research, during February-May 2001, into the opportunities that
exist for moving the PGWC forward into the knowledge economy. Currently, the PGWC has
68 000 employees, of which only 7% have access to email (DEAAT, 2001b).
The Cape Online Programme spans the entire PGWC, as well as national government
departments (e.g., Communications, Education, Trade and Industry), parastatals (e.g.,
Telkom) and organizations (e.g., UUNET, City of Cape Town, Wesgro, Bridges. For most
part, its customers would be the citizens in the Western Cape, staff members within the
PGWC, as well as other departments, and institutions to whom they provide a service.
The proposed internal core projects: Cape View, Cape Change, Cape Net, Cape Gateway, and
Cape Procure contribute toward the fulfilment of the requirements of the policy objectives of
the Province, both at the macro level and at the departmental level (Appendix 2).
Furthermore, its potential external role in the development of the ICT industry, supporting
online communities, such as Elsenburg, and ICT skills development is part of its strategy.
These facets of the Cape Online programme are illustrated in Figure 2 below.
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ICT SectorDevelopment
OnlineCommunities
Khanya,Elsenburg
ICT tertiaryskillsdevelopment
ICT forcommunities
CORE INTERNAL INITIATIVES
Cape Gateway
Cape Change Cape Net
Cape View
VISION: To develop an innovative environment that facilitates a competitive knowledge-based economy that uplifts the economy and enhances the quality of life for our people
MISSION: Enabling government to harness the capabilities of the Internet, to grow the appropriate use of ICT, increase internal efficiencies and provide a better service to its citizens as a pathway to e-Government
Externalinitiatives
Figure 2: Facets of the Cape Online ProgrammeSource: Adapted from the Department of Economic Affairs, Tourism and Agriculture. Cape OnlineProgramme Discussion Document Version 3. 2001b
The overall timeline for the Cape Online development projects are three years. This is an
approximate timeline, as projects will be constantly evaluated by the Knowledge Economy
and E-Government (KEE-G) Centre in the PGWC, against the targets set by the Cape Online
strategy and programme plan, as well as specific criteria to be established when appropriate.
A number of Cape Online projects will evolve into operational entities. On completion of the
first development cycle of these entities or products it will be considered by the KEE-G
Centre for adoption.
The PGWC has approved the business plan of Cape Gateway, one of the core projects. It
aims at creating an e-government portal where all users - citizens and business - will be able
to access all government information from a single point - a virtual and physical gateway to
the Cape. Currently an e-government portal template is under consideration by all the
departments in the PGWC. The launch of the portal is planned for the second half of 2002.
The government does not provide any online services at this point.
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Cape Net is a project with the goal to create a regional parastatal peering network or exchange
point (also referred to as a network precinct). This network would enable inter-government
organisational data exchange to bypass the commercial Internet networks. This project hopes
to see a capability within the government to develop and grow a viable precinct, which will
begin with parastatal organisations. Currently, there are discussions with the role players in
the ICT sector on the modalities of the network precinct.
SITA
PGWC
UUNET
InternetSolutionsDidata
Telkom
Unicity Tenet HEIST
CINX - Cape
Internet Exchange Point
Commercial Internet Provincial Govt. Peering Network Private Commercial Peering
Figure 3: Logical peering network diagram for the Cape Online Precinct
Source: Department of Economic Affairs, Tourism and Agriculture. Cape Online Programme Discussion Document Version 3. 2001b
As the government strives towards fulfilling its role in the building of the knowledge
economy, the internal and external changes in technology, structures, processes, and the
nature of day-to-day work will change. In order to facilitate the success of this process, it is
essential to educate, promote and adapt internal role players across the organisation.
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This requires the organisation to address both its own internal operations, as well as the way
in which its services are delivered to its customers. It is anticipated that the online projects at
the PGWC will have a high impact on all business processes, and the job descriptions of
every employee, especially from a skills perspective. Concern from the KEE-G and other
stakeholders are frequently expressed around the capacity of the organisation to manage the
necessary change.
To this end, Cape Change is a change management project that identifies aspects of PGWC
processes, procedures, mechanisms and structures that will need to change, both to bring into
effect e-government, and those that will become necessary as result of successful e-
government. The project aims to prepare management and administration, as well as all
employees, for the challenges of the networked economy. Aspects of this project will include
workshops, business process analysis, development and delivery of training, restructuring and
integration, organisational development, and one-on-one executive mentoring.
Even though this is considered a crucial underpinning project, that will determine the success
of the other projects, there is no indication that this project is being implemented. In realising
the Cape Change project, it will be important to develop consensus on the change processes
that are necessary in the short- and longer-term, and issues such as job roles, business
processes, education and training, should be addressed with a knowledge management
perspective in mind.
Using the Readiness for the Networked World Guide, designed by the Information
Technologies Group at Harvard University (2001), the PGWC points out that it is presently at
Stage 3 of e-government. Table 2 outlines the key elements for each stage of readiness. The
minimum necessary condition for the development of e-government is access to an adequate
network infrastructure. While the strategy focuses on the importance of citizens and
businesses having access, it acknowledges that it must start with the government itself.
The challenge facing the PGWC is to make the shift from its current inadequate Web site,
which provides modest information to an interactive website or portal that allows the public to
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conduct transactions, e.g., apply for permits, pay taxes, online. Furthermore, they will have to
make online services accessible to the majority of the population that have no access to online
facilities, through innovative initiatives such as public kiosks.
E-Government
Stag
e 1
No Governmental resources are online. There is no awareness of online government, and all dealings between government
and citizens or businesses are in person or paper-based. There is limited information available by phone.
Stag
e 2
A few governmental websites exist, providing basic information, often directed at
parties outside of the community. This information is static and infrequently updated. Some limited interaction with the government is possible by telephone or fax. The government distributes some information about services, procedures, rights and
responsibilities in hard copy.
Stag
e 3
Some governmental agencies post key information on websites, including directories
of services, hours of operation, and downloadable forms. Information is often not kept current and relevant. Transactions take place primarily in person, by fax or by telephone, though electronic
mail may expedite the process. The government manages relationships with some contractors and suppliers online or
with other electronic mediation.
Stag
e 4
All governmental agencies post key information on websites and some have
incorporated the Web into their strategy for interaction with the public. Interactive government websites allow the public to conduct transactions (e.g., apply
for permits, pay taxes) online. Much government procurement and many interactions with suppliers take place
online or with other electronic mediation. Table 2: Readiness Guide Stages of E-Government Development Source: Readiness for the Networked World: A Guide for Developing Countries: Information Technology Group, Harvard University (2001)
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3 PERSPECTIVES ON KNOWLEDGE
Knowledge is widely understood today as a necessary and sustainable source of effectiveness,
efficiency and competitiveness. In an era characterised by rapid change and uncertainty,
successful organisations are those that consistently create new knowledge, disseminate it
through the organisation and embody it in technologies, products and services. Thus
knowledge is displacing capital, natural resources and labour as the basic economic resource
(Drucker, 1995; Nonaka, and Takeuchi, 1995; Davenport, 1999).
In Western philosophy there has been a long tradition to separate the subject who knows from
the object that is known. René Descartes, the 17th century French philosopher and
mathematician, proposed the "Cartesian split" between subject and object, mind and body.
This tradition shaped the disciplines of economics, management and organisation theory,
which has affected managerial thinking about, and approaches to, knowledge for the past two
centuries (Nonaka and Takeuchi, 1995; Fitzgerald, 1995).
Consequently, any understanding of the diverse views of knowledge, as discussed in the
current management and organizational literature, necessitates charting the history of Western
epistemology, i.e., the philosophical enquiry of knowledge (Refer to Appendix 3). This will
enable us to uncover some assumptions about knowledge that underlie organizational
knowledge management.
Knowledge is a broad and abstract notion that has defined epistemological debate in Western
philosophy since the classical Greek era. There has been a long and substantial body of
reflection on the nature of knowledge dating from Aristotle and Plato. There are two
dominant epistemological traditions in Western philosophy: rationalism and empiricism,
which differ on the actual source of knowledge (Nonaka and Takeuchi, 1995). The debate
centred on three major problems: (a) the nature of knowledge, (b) the origin of knowledge,
and (c) the reliability of knowledge.
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The Cartesian dualism lies at the root of Western social sciences, including economics,
management and organisational theory. The modern epistemological tradition is
characterised by philosophies that have attempted to overcome the Cartesian dualism: from
Immanuel Kant and Chester Barnard to Edgar Schein and Peter Drucker.
The point is simply that there are many different types of knowledge and that harnessing,
developing and sharing the different kinds of knowledge require very different tools and
techniques. These different views of knowledge lead to different perceptions of knowledge
management.
Nonaka and Takeuchi (1995: 58) have defined knowledge as "a dynamic human process of
justifying personal belief toward the truth" that increases an entity’s capacity for effective
action. Karl Wigg (in Beckman, 1999: 1-6), one of KM's most prominent advocates, defines
knowledge as "consisting of truths and beliefs, perspectives and concepts, judgements and
expectations, methodologies and know-how." Then, knowledge may be viewed from several
perspectives (1) a state of mind, (2) an object, (3) a process, (4) a condition of having access
to information, or (5) a capability.
Quinn (in Beckman, 1999: 1-4) refer to knowledge as "declarative (know-about or knowledge
by acquaintance), procedural (know-how), causal (know-why), conditional (know-when), and
relational (know-with)." Some authors, most notably in IT literature, address the question of
defining knowledge by distinguishing among knowledge, information, and data. A
commonly held view with sundry minor variants is that data is raw numbers and facts,
information is processed data, and knowledge is authenticated information.
Tuomi (in Alavi and Leidner, 2001) argues that the often-assumed hierarchy from data to
knowledge is actually inverse: knowledge must exist before information can be formulated
and before data can be measured to form information. As such, "raw data" do not exist - the
thought or knowledge processes that led to its identification and collection have already
influenced even the most elementary piece of "data". Thus, knowledge exists which, when
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articulated, verbalized, and structured, becomes information which, when assigned a fixed
representation and standard interpretation, becomes data.
Central to Tuomi's argument is the fact that knowledge does not exist outside of an agent (a
knower): it is indelibly shaped by one's needs as well as one's initial stock of knowledge.
Knowledge is thus the result of cognitive processing triggered by the inflow of new stimuli.
Cognitive complexity is defined as the degree of differentiation of one's constructs system,
and the tendency to construe social behaviour in a multidimensional way. A more cognitively
complex individual has available a more versatile system for perceiving and processing
complex and ambiguous information better than less cognitively complex individuals
(Brooks, in April 2001). How does cognitive complexity aid knowledge creation? By
creatively and thoroughly analysing a situation or problem, they can develop creative ideas
and solutions; and, by considering different points of view, they can understand their
constituents, and related groups.
Information is converted to knowledge once it is processed in the mind of individuals and
knowledge becomes information once it is articulated and presented in the form of text,
graphics, words, or other symbolic forms. A significant implication of this view of knowledge
is that for individuals to arrive at the same understanding of data or information, they must
share a certain knowledge base.
Nonaka (1994) explicated two dimensions of knowledge in organisations: epistemological
(tacit and explicit) and ontological (individual, group, organisational, inter-organisational
levels). The origin of the concepts of tacit and explicit knowledge is from Michael Polanyi,
dating back to the 1960s. Rooted in action, experience, and involvement in a specific context,
the tacit knowledge is comprised of both cognitive and technical elements. The cognitive
element refers to an individual's mental models consisting of mental maps, beliefs, paradigms,
and viewpoints. The technical component consists of concrete know-how, crafts, and skills
that apply to a specific context.
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Explicit knowledge is articulated, codified, and communicated in symbolic form and/or
natural language. An example is an owner's manual accompanying the purchase of an
electronic product. The manual contains knowledge on the appropriate operation of the
product. Table 3 differentiates these two dimensions of knowledge.
Tacit Knowledge (Subjective) Explicit Knowledge (Objective)
Knowledge of experience (body) Simultaneous knowledge (here and now) Analogue knowledge (practice)
Knowledge of rationality (mind) Sequential knowledge (there and
then) Digital knowledge (theory)
Table 3: Two types of Knowledge
Source: Nonaka and Takeuchi, 1995
The tacit-explicit knowledge classification is widely cited in the literature; although sundry
other knowledge classifications exist that avoid the complex subtleties of the tacit-explicit
dimension.
Four major points emerge from the above discussion:
(a) A great deal of emphasis is given to understanding the difference among data,
information, and knowledge and drawing implications from the difference.
(b) Because knowledge is personalized, in order for an individual's or a group's
knowledge to be useful for others, it must be expressed in such a manner as to be
interpretable by the receivers.
(c) Hoards of information are of little value; only that information which is actively
processed in the mind of an individual through a process of reflection, enlightenment,
or learning, in a specific context, can be useful.
(d) Knowledge is about belief, truth, and commitment, thus differentiating it from
information. Knowledge is perspective and intention dependent.
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4 MANAGING ORGANISATIONAL KNOWLEDGE
The major implication of the various conceptions of knowledge is that each perspective
suggests a different strategy for managing knowledge, and a different perspective of the role of
systems in support of knowledge management. Organisational knowledge and knowledge
management are popular topics in several current literatures, including strategic management
and organisational theory, as well as information systems. The emergence of the knowledge
economy, and recognition of the value of knowledge as a key "factor of production", has seen a
growing literature, and practice that has sought to operationalise new categories of knowledge.
However, knowledge management as a conscious practice is a product of the 1990s' and the
emerging recognition of the critical importance of knowledge as a key factor in organisational
success. In the past few years, however, there has been a growing interest in treating knowledge
as a significant organisational resource.
Between 1997 and 1998, the Cranfield School of Management in England (1998), analysed
questionnaires from several hundred CEOs, Managing Directors, Chairmen, and the like. The
surveys showed that they all expected to be spending money on knowledge management.
Ninety-four percent believed that it requires people to share what they know, and 85 percent
agreed that information should not be on a need-to-know basis. Eighty-five percent also
believe that value can be attached to business knowledge and over 90 percent had plans to
acquire and exploit knowledge assets. Eighty-five percent asserted that knowledge is not the
extension of information systems or information technology.
There are many definitions of knowledge management in the academic literature. They all have
certain key concepts and elements such as “knowledge or intellectual assets”, “wealth or profit
generation”, “processes” and “organisational objectives.” A few examples of these definitions
follow:
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Bukowitz and Williams (1999: 6) define knowledge management “as the process by which the
organisation generates wealth from its intellectual or knowledge-based assets.”
Snowden (1999: 42) provides a comprehensive definition of knowledge management as the
“developing body of methods, tools, techniques and values, through which organisations can
acquire, develop, measure, distribute and provide a return on their intellectual assets. It is
fundamentally about creating self sustaining ecologies which communities and their artefacts
can organically respond to, and confidently pro-act with an increasingly uncertain
environment.”
According to Skyrme (1999: 59), knowledge management is the “explicit and systematic
management of vital knowledge and its associated processes of creating, organising, diffusion, use
and exploitation, in pursuit of organisational objectives.”
While much theory exists on knowledge management, little empirical work has been
undertaken, especially in South Africa. Hence, there is a large gap in the body of knowledge in
this area, and even less with regard to government bodies and knowledge management.
Organisations like the OECD and the UNDP that seek to analyse and develop solutions to the
common challenges and needs of governments, have contributed to the literature through their
work on public governance that includes knowledge management, and e-government.
While there is evidence that most leading private sector firms are now actively pursuing
knowledge management, many doubt that the same systematic organisational changes are
taking place in public service organisations of most OECD countries. If this is true,
governments are at risk of falling behind leading-edge companies in managing their
knowledge. This could affect the competitiveness of public organisations and countries, and
lead to a reduction in citizens' trust in public institutions.
Over the past few years, a growing number of companies have focused on their intellectual assets
and have introduced a variety of knowledge management programmes so as to improve
performance levels and achieve competitive advantage. The most notable companies that have
successfully harnessed its knowledge through a range of innovations, as covered in the literature,
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are, amongst others, Skandia Assurance and Financial Services, Netscape, Microsoft, Sun
Microsystems, American Airlines, 3M, Dow Chemical, Asea Brown Boveri, BP Amoco and
General Electric (Probst, Raub, and Romhardt, 1998; Skyrme, 1999; Stewart, 2001).
Grover and Davenport (2001) note that the most visible development in KM is the employment of
knowledge specialists such as knowledge managers or chief knowledge officers (CKO). The CKO
must change culture by example, creating models, lighting fires and linking KM to measurable
goals to overcome barriers to change. On the operational side, the CKO serves as the chief
designer of the knowledge architecture. Thus, they have both symbolic and operational roles.
Generally, a cadre of knowledge managers, tasked with knowledge activities, supports the CKO.
According to Davenport and Prusak (1998), most knowledge management projects have one of
three aims:
(a) To make knowledge visible and show the role of knowledge in an organization, mainly
through maps, yellow pages, and hypertext tools.
(b) To develop a knowledge-intensive culture by encouraging and aggregating behaviours such as
knowledge sharing (as opposed to hoarding) and proactively seeking and offering knowledge
(c) To build a knowledge infrastructure - not only a technical system, but a web of connections
among people given space, time, tools, and encouragement to interact and collaborate.
Organisations can receive important benefits from knowledge management. To be successful, an
organisation's approach must fit both the culture and the specific business objectives of that
organisation (Seeley and Dietrick, 2000). Organizations can achieve spectacular results, but these
positive outcomes must be paid for through significant investments of time, energy, and resources.
Many organizations that have achieved success through their knowledge management efforts share
the view that the investment was worth the effort (Coates, 2001; Schein, 2000).
Knowledge management is largely regarded as an initiative involving various activities. Slight
discrepancies in the delineation of the processes appear in the literature (Probst, Raub, Romhardt,
1998; Beckman, 1999; Bukowitz and Williams, 2000; Alavi and Leidner, 2001), namely in terms
of the number and labelling of processes rather than the underlying concepts. At a minimum, one
considers the four basic processes of creating, retaining, sharing, and applying knowledge. These
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major processes can be subdivided, for example, into creating internal knowledge, acquiring
external knowledge, storing knowledge in documents versus storing in routines as well as updating
the knowledge, and sharing knowledge internally and externally.
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5 ANALYTICAL FRAMEWORK FOR KNOWLEDGE
MANAGEMENT
We have developed a systematic framework that will be used to analyse the organizational
knowledge management processes (Refer to Figure 4). It is based on the view of organizations
as social collectives and "knowledge systems" (Alavi and Leidner, 2001). According to this
framework, organisations as knowledge systems consist of four sets of socially enacted
knowledge processes: (a) creation, (b) retention, (c) transfer, and (d) application. This view of
organizations as knowledge systems represents both the cognitive and social nature of
organizational knowledge and its embodiment in the individual's cognition and practices as
well as the collective (i.e., organizational) practices and culture. These processes do not
represent a monolithic set of activities, but an interconnected and intertwined set of activities.
Although the concept of coding, storing, and transmitting knowledge in organizations is not
new - training and employee development programs, organisational policies, routines,
procedures, reports, and manuals have served this function for years - organisational and
managerial practice has recently become more knowledge-focused. Spender (1996) points to
benchmarking, knowledge audits, best practice transfer, and employee development point to the
realisation of the importance of organisational knowledge and intangible assets in general.
Knowledge Creation
Organisational knowledge creation involves developing new content, or replacing existing
content, within the organization's tacit and explicit knowledge. Through social (e.g., creative
dialogue, organisational culture) and collaborative processes (e.g., communities of practice) as
well as an individual's cognitive processes (e.g., reflection), knowledge is created, shared,
amplified, enlarged, and justified in organizational settings (Nonaka, 1994). This model views
organizational knowledge creation as involving a continual interplay between the tacit and
explicit dimensions of knowledge and a growing spiral flow as knowledge moves through
individual, group, and organizational levels. Four modes of knowledge creation have been
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identified: socialisation, externalisation, internalisation, and combination (Nonaka and
Takeuchi, 1995).
OP
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TACIT KNOWLEDGE
Quality Management
t
Change Management
e
Leadership
Create
Apply
Share
E
E
= BARRIERS
EXPLICIT KNOWLEDGE
C
t
t
Interdepartmental Co-operation
Communication
Teamwork
Problem Solving
Systems/Administration
Technological Managemen
Financial Managemen
Information Management
NORMATIVE
RE
An Assessment of Western Cape Departm
Figure 4:
STRATEGIC
SEARCH REPORT MBA 2001
the Readiness for Knowledge Management in the ent of Economic Affairs, Agriculture and Tourism
Framework for Analysis
OPERATIONAL
Continuous Improvement
Networking
Marketing
Capacity/Succession
(D
Flexibility
Risk Managemen
Customer Satisfaction
Learning Culture
Governanc
Information technology
Business Strategy
YKNOWLEDGE BASE
Assessment
CONTEXT RetainT
I
M
T
I
M
EAAT)
31
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The socialisation mode refers to conversion of tacit knowledge to new tacit knowledge
through social interactions and shared experience among organizational members (e.g.,
apprenticeship, mentorship, COPs). The combination mode refers to the creation of new
explicit knowledge by merging, categorizing, reclassifying, and synthesizing existing explicit
knowledge (e.g., literature survey reports). The other two modes involve interactions and
conversion between tacit and explicit knowledge. Externalisation refers to converting tacit
knowledge to new explicit knowledge (e.g., articulation of best practices or lessons learned).
Internalisation refers to creation of new tacit knowledge from explicit knowledge (e.g., the
learning and understanding that results from reading or discussion). The latter is illustrated in
Figure 5 below.
TACIT KNOWLEDGE To EXPLICIT KOWLEDGE
TACIT
KNOWLEDGE
From
EXPLICIT
KNOWLEDGE
Figure 5: Four modes of knowledge conversion
Source: Adapted from Nonaka and Takeuchi, 1995
Socialisation
Sympathised knowledge Connected with theories of group
processes and organisational culture Process of sharing experiences Shared mental models and technical
skills Examples: apprenticeship, on-the-
job training, communities of practice
Externalisation
Conceptual Knowledge
Driven by metaphors, analogy, concepts, hypothesis and models
Triggered by dialogue or collective reflection
Holds the key to knowledge creation
Examples: abductive reasoning, new product development
Internalisation
Operational Knowledge
Embodying explicit knowledge into tacit knowledge
"Learning by doing" Through documents, manuals, or
oral stories Example: Project management,
success stories
Combination
Systemic Knowledge
Systemising concepts into knowledge systems
Combining different bodies of explicit knowledge through documents, meetings, internet
Example: Prototype, formal education and training
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Nonaka and Takeuchi (1995: viii) contend that Japanese companies have become successful
because of their skills and expertise in organisational knowledge creation, i.e., "the capability
of a company as a whole to create new knowledge, disseminate it throughout the organisation,
and embody it in products, services, and systems." Knowledge creation takes place at four
levels: the individual, the group, the organisational, and inter-organisational levels.
Nonaka and Takeuchi (1995) contend that Japanese companies have existed in an uncertain
environment over the past 50 years. They were forced into continuous innovation to survive
through anticipating changes in the market, technology, competition, or product. These
companies viewed change as an everyday event and a positive force. In contrast, some of the
big Western companies like IBM and General Motors became insular, seeking predictability
and stability. Japanese companies, in times of uncertainty sought knowledge from the
outside, which is shared widely within the organisation, stored as part of the company's
knowledge base, and utilised in developing new technologies and products.
Western organisations take for granted a view of the organisation as a machine for
information processing. This is the dominant view of Western management that comes from
Frederick Taylor. In this view knowledge is necessarily explicit - formal and systematic.
Japanese companies view knowledge differently: explicit knowledge represents only a
fraction, while tacit knowledge is viewed as primary. The latter is not easily visible and
expressible. "Tacit knowledge is highly personal and hard to formalise, making it difficult to
communicate or to share with others" (Nonaka and Takeuchi, 1995: 8). Organisational
knowledge is created during the conversion from tacit to explicit, and back again into tacit.
The recognition of tacit knowledge gives rise to a whole different view of the organisation -
not as a machine for processing information but as a living organism. Highly subjective
insights, intuitions, and hunches are a key part of knowledge. It also embraces ideals, values,
and emotion, as well as symbols and images.
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Knowledge Retention
Empirical studies (Darr, 1995, Grover and Davenport, 2001) have shown that while
organisations create knowledge and learn, they also forget (i.e., do not remember, or lose
track of, the acquired knowledge). Thus, the storage, organisation, and retrieval of
organisational knowledge, also referred to as organisational memory constitute an important
aspect of effective organizational knowledge management (Bannon and Kuutti, 2001).
Organisational memory includes knowledge residing in various component forms, including
written documentation, structured information stored in electronic databases, codified human
knowledge stored in expert systems, documented organisational procedures and processes and
tacit knowledge acquired by individuals and networks of individuals.
Early attempts in many organizations to capture institutional memory, as knowledge workers
retired, often led to the development of huge electronic data warehouses. But these were little
more than the electronic equivalent of fossils preserved in amber. Data mining does not equal
knowledge, and at best we have only "knowledge ghosts" when people leave our
organizations (Seeley and Dietrick, 2000). Other organizations introduced modern forms of
apprenticeship and coaching to ensure the person-to-person transfer of as much knowledge as
possible.
COP
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Figure 6: Knowledge sharing in organizations Source: Kurt April, Knowledge Management Elective, MBA Programme, GSB UCT (2001)
Intermediation
Externalisation Internalisation
Knowledge provider
Knowledge seeker
External repository
Intermediation
Externalisation Internalisation
Knowledge provider
Knowledge seeker
External repository
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Knowledge Sharing
An important process in knowledge management is that of knowledge sharing or transfer.
Transfer occurs at various levels: transfer of knowledge between individuals, from individuals
to explicit sources, from individuals to groups, between groups, across groups, and from the
group to the organisation.
Considering the distributed nature of organisational cognition, an important process of
knowledge management in organisational settings is the transfer of knowledge to locations
where it is needed and can be used. However, this is not a simple process, in that
organisations often do not know what they know and have weak systems for locating and
retrieving knowledge that reside in them (Alavi and Leidner, 2001).
Communication processes and information flows drive knowledge transfer in organisations.
Gupta and Govindarajan (2000) have conceptualised knowledge transfer (knowledge flows in
their terminology) in terms of five elements:
(a) Perceived value of the source unit's knowledge.
(b) Motivational disposition of the source (i.e., their willingness to share knowledge).
(c) Existence and richness of transmission channels.
(d) Motivational disposition of the receiving unit (i.e., their willingness to acquire
knowledge from the source).
(e) The absorptive capacity of the receiving unit, defined as the ability not only to acquire
and assimilate but also to use knowledge.
The least controllable element is the fifth: knowledge must go through a recreation process in
the mind of the receiver. This recreation depends on the recipient's cognitive capacity to
process the incoming stimuli.
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Knowledge Application
An important aspect of the knowledge-based theory of the firm is that the source of
competitive advantage resides in the application of the knowledge, rather than in the
knowledge itself. Grant (1996) identifies three primary mechanisms for the integration of
knowledge to create organisational capability:
• Directives: refer to the specific set of rules, standards, procedures, and instructions
developed through the conversion of specialists' tacit knowledge to explicit and
integrated knowledge for efficient communication to non-specialists. A practical
workplace example of this would be standard operating procedures and handbooks.
• Organisational routines: refer to the development of task performance and co-
ordination patterns, interaction protocols, and process specifications that allow
individuals to apply and integrate their specialized knowledge without the need to
articulate and communicate what they know to others. This, in an organisation, can
be evidenced in professionals such as engineers, and technologists.
• Self-contained task teams: in situations in which task uncertainty and complexity
prevent the specification of directives and organizational routines, teams of
individuals with prerequisite knowledge and specialty are formed for problem
solving. Examples of such teams are found in strategy, operations, and IT.
To summarise, this section has described and elaborated on a knowledge management
framework based on the view of organisations as knowledge systems. One of the important
implications of this framework is that knowledge management consists of a dynamic and
continuous set of processes and practices embedded in individuals, as well as in groups and
physical structures. At any point in time, and in any part of a given organization, individuals
and groups may be engaged in several different aspects and processes of knowledge
management. Thus, knowledge management is not a discrete, independent, and monolithic
organizational phenomenon. Another implication of this framework is that the four
knowledge processes of creation, retention, transfer, and application are essential to effective
organisational knowledge management.
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6 THE INSTITUTIONAL CONTEXT
Information Technology (IT): Enabler or Driver
“Computers are incredibly fast, accurate and stupid; humans are incredibly slow, inaccurate
and brilliant; together they are powerful beyond imagination” - Albert Einstein
There is debate as to whether information technology inhibits or facilitates knowledge creation
and use. On the one hand, some argue that capturing knowledge in a KM system inhibits
learning (Cole, 1998; Coates, 2001) and may result in the same knowledge being applied to
different situations even when it might not be appropriate. Proponents of this view maintain
that IT plays a limited role in knowledge creation, because IT is only helpful if an individual
knows what he or she is looking for. In this case, little new knowledge creation can occur.
Admonitions against an emphasis on IT at the expense of the social and cultural facets of KM
are not uncommon (Davenport and Prusak, 1998; Schein, 2000).
According to Coates (2001: 13), knowledge management is primarily a person-to-person
activity. He is emphatic about the role of IT in knowledge management: “It's not a matter of
tools, techniques or electronics. It's not an IT problem. Keep the chief information officer, or
anyone connected with the support of your computer systems, at arms-length. Knowledge
management is a problem in human relations for which there may be a small, useful set of IT
tools. To turn knowledge management over to anyone connected with information
technology is to court disaster”. It is unsurprising that a lot of discussion about knowledge
management begins with careful (and lengthy) definitions, and often contains quite explicit
distancing from technology.
Alavi and Leidner (2001: 11) contend that the application of information technologies can
create an infrastructure and environment that contribute to organisational knowledge
management by “actualising, supporting, augmenting, and reinforcing knowledge processes at
a deep level through enhancing their underlying dynamics, scope, timing, and overall
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synergy”. They assert that while IT is a key enabler, it's not a driver of knowledge
management. (Martiny, 1998; Seeley and Dietrick , 2000). Shereen Remez as the chief
knowledge officer of the General Services Administration contends, "technology is a useful
tool, necessary but not the driving force, whereas knowledge management is about people"
(Yu and Hartman, 2000:18).
While the preponderance of knowledge management theory stems from strategy and
organisational theory research, the majority of knowledge management initiatives involve at
least in part, if not to a significant degree, information technology. Reviewing the literature,
discussing applications of IT to organisational knowledge management initiatives, reveals
three common applications: (a) the coding and sharing of best practices, (b) the creation of
corporate knowledge directories, and (c) the creation of knowledge networks. Our analysis of
the literature suggests that IT can lead to a greater breadth and depth of knowledge creation,
storage, transfer, and application in organizations.
Advanced information technologies (e.g., the Internet, Intranets, Extra-nets, browsers, data
warehouses, data mining techniques, and software agents) can be used to systematize,
enhance, and expedite large-scale intra- and inter-firm knowledge management.
So, what is information management? Knowledge management enables individuals and
collaborative groups to identify, capture and share information, while information
management uses specialised IT staff to identify, capture and process information (Nonaka
and Takeuchi, 1995; Grover and Davenport, 2001). In very broad terms, information
management collects, processes and condenses information so you can manage it efficiently,
whereas knowledge management's objective moves in a quite different direction, enabling
information to be re-used and shared to allow the expansion of knowledge.
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INFORMATION MANAGEMENT KNOWLEDGE MANAGEMENT
• Centres on recording and processing
information • Takes information from multiple sources and
organises into database system • Designed for centralised information storage
and control (empowers the IT function) • Emphasises enquiries to highly structured
repositories • Concerned with information collection,
classification and distribution • Dependent on well-defined enquiries for
retrieval • Required to maintain mission-critical,
enterprise data • Good productivity for efficiency
• Enables individuals and collaborative groups to
identify, capture and share information • Requires data to be put in context to generate
information • Information combined with experience creates
knowledge • Uses technology to share and leverage
information for innovation
Table 4: Distinction between Information Management and Knowledge Management
Knowledge management requires data to be put in context in order to generate information
which, when combined with experience, creates knowledge. To achieve this, it involves
combining the right technologies with an organisation's human resources, in terms of their
experience, expertise, acquired and accumulated knowledge.
Knowledge and information management use many of the same technologies. These include
electronic workplace technologies, such as groupware, information retrieval, data mining,
document management, email, push communication technology, Web browsers and Intranets.
Alignment of Knowledge Management with Business Strategy
Davenport (1999) asserts that knowledge management is not a program but a new way of
working that needs to be embedded into the overall strategy and organization design. The
importance of the relationship between knowledge management strategy and corporate
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strategy must be emphasised. Ultimately, this means that the strategy team responsible for
knowledge management must answer the question: "Where can the application of knowledge
management result in the greatest value to the business?" Two leading indicators are: (a)
areas of strategic importance to the organization; and, (b) groups or "communities" that have
common objectives and/or information needs. The areas that are important to the
organization's strategic objectives become the areas that are important to the knowledge
management strategy.
Organisational Culture
How should an organisation deal with the cultural change that inevitably accompanies a
knowledge management effort? What impact does the organisational culture have on
knowledge management processes?
Schein (2000) has commented at length on this topic. There are distinctive life cycles for
businesses according to Ichak Adizes, and knowledge managers should take into account their
organization's age and position on the Adizes life cycle curve when deciding how to address
the culture. Schein (2000) suggests that the preoccupation with culture in knowledge
management may also detract from the reasons why KM is being done in the first place. By
dealing with cultural issues as just an item on the agenda, he feels that knowledge
management is attempting a difficult transformation. He suggests that managers should first
work out why they are doing KM. Schein asserts that the only way for a knowledge
management program to succeed is for it to be firmly linked to business objectives - and the
same has to be said for organisational culture.
Due to the Western companies lacking dynamism and competitiveness in the early 1980s,
management theorists questioned the scientific, quantitative approach to strategy making and
proposed humanistic approaches. Schein (1985: 9) defined culture as "a pattern of basic
assumptions - invented, discovered, or developed by a given group as it learns to cope with
problems of external adaptation and internal integration - that has worked well enough to be
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considered valid and therefore, to be taught to new members as the correct way to perceive,
think, and feel in relation to those problems." Nonaka and Takeuchi (1995) agree with Schein
that culture is important for organisational knowledge creation.
If people share a common set of goals, a common perspective on what to do and how to
accomplish it, and a common vocabulary that allows them to coordinate their behaviour, then
command and hierarchical authority are of much less importance. People will be able to work
cooperatively without waiting for orders from the upper levels of the company. Managing
with a shared vision and with a strong organisational culture has been a very popular
prescription for organisations.
Communities of Practice
A community of practice is an organizational concept that is receiving much attention as a
mechanism for sharing and learning across the organisation, based on the common ground of
a professional discipline, a skill, a topic, a product category or a business process, and others
(McDermott, 1999).
Companies' informal organisations became a matter of practical urgency as well as academic
interest after 1987, when Etienne Wenger and Jean Lave of the Institute for Research on
Learning in Palo Alto identified these special groups. According to Stewart (2001: 107),
communities of practice are “groups that emerge around a discipline or problem - a work-
related subject like graphic design or the behaviour of derivative financial instruments. They
have no agenda; they are defined by the subject that engages them, not by project, rank,
department, or even corporate affiliation”.
Stewart (2001: 106) is confident that the concept of a community of practice has “assumed
what looks like a permanent, high place in management thinking. They are where learning
and innovation occur - the shop floor of human capital."
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7 KNOWLEDGE MANAGEMENT IN THE PUBLIC SECTOR
The rate of innovation that is required to stay alive in modern organisations and societies is
outstripping the rate at which the command and control model can actually dream up ideas
and act on them. The least adaptive organisations are crumbling. The need for better KM
within the public sector is a central strategic commitment. Its successful implementation will
enable the government to work more efficiently, by more effective harnessing of its data,
information and experiences.
The government has a poor track record in knowledge management (Schmidt, 2001), for
historic reasons, and is particularly poor in leveraging tacit knowledge required to address the
challenges of its changing context. This is due to the structure, systems and ethos that has
characterised much government practice to date. At the same time, there is a growing
recognition that, in a changing public sector environment where governments have to address
a much more complex set of challenges in their external environment than before, and where
their financial resources are not growing at anything like the growth in demand for services,
learning and knowledge are possibly the most crucial variables in determining their ability to
address these challenges.
Firstly, the public sector has traditionally been strongly organised on bureaucratic principles
with very hierarchical structures and strong reliance on rules and procedures - "best practice"
in the 1920's in the early years of Taylorist organisation development. Secondly, it has been
organised on a strongly functional basis. This has resulted in much stronger, and more
enduring, functional silos than would have been the case in the private and non-governmental
sector.
From discussions with consultants working in the public sector, the authors' personal work
and consulting experience with the government at all three spheres, and Schmidt (2001), the
following conclusions could be drawn:
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There is a very strong reliance, at a management level, on codified or explicit knowledge
and systems. Verification of actions is inevitably sought in legislation and rules, rather
than in the external impact of the action. This is reinforced, at present, by how the
government's transformation has been driven largely by legislation.
It follows that the tacit knowledge required for complex problem solving, strategic
management and effective leadership are highly undeveloped within the government. It
can make major strategic mistakes, but it will continue to be in business tomorrow. The
inherent incentive structures in the organisation, and the associated culture, have thus
tended to reward compliance at the expense of innovation and experimentation.
It follows further that the government has had, and continues to have, a very strong
internal, rather than external, focus which makes it very unresponsive to changes in both
its immediate, local, external environment, as well as changes and knowledge
developments in the global arena.
Knowledge and information tend to be stratified within the layers of the organisation, and
is not transmitted throughout the organisation. Senior managers thus have very little
access to important frontline knowledge, and the mass of employees has little sense of
what the government is trying to achieve. The flows of information and knowledge tend
to be exclusively top down (often in the form of directives), rather than bottom up or
horizontal.
Technical and professional knowledge tends to be very stratified within functional silos.
Very little cross-functional working and knowledge sharing within, and outside, the
government has taken place.
The knowledge base in the public sector is thus limited (because of its insular focus), largely
explicit and compartmentalised - within the functional hierarchies and within the different
strata of the organisation. The success of the government’s effort therefore became dependent
on a few key individuals since employees are disempowered.
The environment in which the provincial government operates is also significantly more
uncertain and competitive than it was in the past. Globally, and nationally, there are huge
pressures on them to modernise and to transform into an institution able to facilitate and drive
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development in a knowledge economy. Knowledge management is a useful concept with
significant potential to help leverage change within the government. However, this will
necessarily be within a broader organisational change and organisational development
strategy.
There is a void of empirical studies that focus on managing knowledge in the public sector,
especially in South Africa. Since 1994, with the advent of the first democratic dispensation in
South Africa, both provincial and local governance institutions have experienced fundamental
restructuring. The focus thus far has centred on structural changes, with little understanding
of the intellectual capital in these institutions.
This study is of critical importance to both policy makers and practitioners in all spheres of
public sector governance. This research report will aim to assess the knowledge management
processes, and the key institutional issues, within the context of a provincial government
department. The results of our investigation will provide a lens through which a possible
framework for knowledge management would be designed for the DEAAT. This study could
be viewed as a pilot study for the PGWC. The scope of the research will be restricted to the
five Branches of the DEAAT: Business Promotion and Tourism, Agriculture, Transport,
Property Management and Works, and Corporate Affairs.
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8 RESEARCH METHODOLOGY
Objectives and Hypothesis
Knowledge management is the process by which the organisation generates wealth from its
intellectual and knowledge-based assets, i.e., embedded in people or derived from processes,
systems and its organisational culture. The Knowledge Tree Framework (Figure 4) depicts
how the organisation generates, maintains and deploys a strategically correct stock of its
knowledge to create value.
However, there are deeper reasons for why certain expert knowledge is not transferred.
Some of these obstacles are specific to South Africa, such as the “brain drain” and diversity
issues, but some are more general, such as re-engineering initiatives, where the more valued
staff (in terms of tacit knowledge) leaves the organisation voluntarily. Identifying and
removing these obstacles to knowledge transfer is an important part of successful knowledge
management.
The efficacy of the DEAAT in achieving its strategic objectives of becoming action-oriented,
client-driven, innovative, focused on service excellence, adopting international best practices,
promoting leadership and strategic partnerships, and utilising the best technology (DEAAT
Business Plan, 2001c), is directly dependent on its ability to harness its individual and
organisational knowledge.
The objectives of this research are as follows:
(i) To conduct a knowledge management survey within the DEAAT.
(ii) To identify the inhibitors to knowledge management.
(iii) To propose a knowledge management framework for DEAAT.
(iv) To recommend potential knowledge management initiatives.
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The hoped-for outcomes of this study are twofold:
(i) Acknowledgement that good knowledge management processes will enable the
DEAAT to achieve its strategic objectives.
(ii) That the recognition of the inhibitors to their knowledge management processes
will facilitate the achievement of its strategic objectives.
Research Instruments: Theoretical Underpinning
To gain an understanding of the conceptual models and theoretical constructs of knowledge
management, this study began with desktop research, i.e., a comprehensive review of
available literature, both from traditional and electronic sources. The major part of this study,
however, involved the collection of primary data (Refer to Figure 7).
Figure 7: Classification of Marketing Research Data Source: Wegner (2000)
RESEARCH DATA
Primary Data Secondary Data
Qualitative Data Quantitative Data
Descriptive Causal
Experimental Data Survey DataObservational Data
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Secondary sources of data were not suitable for this study because the information was not
considered generalisable enough for application within the Provincial Government: Western
Cape Department of Economic Affairs Agriculture and Tourism.
The research methodology used in this study can be classified as partly qualitative (grounded
theory) and partly quantitative (descriptive) as it contains elements of exploratory and
conclusive research, generated by carrying out in-depth interviews and surveys.
The descriptive approach (as opposed to the causal approach) was preferred, as it would best
describe the behaviour of the system without attempting to influence or change the research
environment in which the research problem resides. Causal research requires an active
intervention by manipulating aspects of the system, to observe the effects of the changes
made (Huberman and Miles, 1994). This is normally carried out in a controlled environment
so that the cause-and-effect relationship can be identified. Casual research, in the context of a
knowledge management assessment, was unlikely to yield reliable results within the scope of
the research period. The descriptive design was open to the examination of statistical
associations and patterns between the system attributes.
The exploratory side of the research, namely, the in-depth interviews, was based in part on
grounded theory. What most differentiates grounded theory from much other research is that
it is explicitly emergent. It does not necessarily test a hypothesis. It sets out to find what
theory accounts for the research situation as it is. In this respect it is like action research: the
aim is to understand the research situation and to discover the theory implicit in the data. The
strength of this method is that the researcher can shift the focus of the study as the data is
collected, as it is quite common that the outcome will be unknown at the start, so the direction
may change in accordance with the kinds of information gathered (Huberman and Miles,
1994).
The general goal of grounded theory research is to construct theories in order to understand
phenomena, i.e., and the recurrent general features of the world that we seek to explain.
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A good grounded theory is one that is: (a) inductively derived from data, (b) subjected to
theoretical elaboration, and (c) judged adequate to its domain with respect to a number of
evaluative criteria (Mouton and Marais, 1991).
Qualitative methods involve exploration, the first step in inquiry. Quantitative methods
involve verification, the last step. Although preliminary exploration is usually necessary and
always helpful, exploration also requires verification. The weakness of verification alone is
that since experiments and other standardized formats (such as the scale and the standardized
interview) are narrow and rigid, one needs to have considerable knowledge before an
adequate testing procedure can be designed.
When combined with qualitative methods, part/whole morphology can be used to approach
seemingly intractable problems in the human world, generating comprehensive hypotheses to
the point that they might be tested. When combined with quantitative methods, the same two
steps can lead to the comprehensive testing of the hypotheses they generate.
Qualitative studies geared toward face validity only, neglect reliability. Face validity is
important; it means that an analysis of meaning can be related to ordinary language, a vast
repository for understanding the complexity and subtlety of human expressions. But ordinary
language is also a repository of bias, a bastion of the cultural status quo. Face validity alone
can never be a sufficient basis for determining meaning (Mouton and Marais, 1991).
Quantitative studies oriented toward reliability, neglect validity. Reliability is also of great
importance; it insures repeatability. But erroneous procedures can be repeated as easily as
correct ones. Reliability alone also cannot be a sufficient basis for determining meaning.
Both approaches are rational, but only in part. Reliance on face validity exemplifies
substantive rationality. This approach is sensitive to the particularities of situations, just as
procedural rationality is attuned to their general features (Huberman and Miles, 1994).
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Data in grounded theory are idiosyncratic to particular investigative contexts. They are not as
stable and general as phenomena. Data are recordings or reports that are perceptually
accessible. Thus, they are observable and open to public inspection. Phenomena are not, in
general, observable. The importance of data lies in the fact that they serve as evidence for the
phenomena under investigation. In extracting phenomena from the data, we often engage in
data reduction using statistical methods. Generally speaking, statistical methods are of direct
help in the detection of phenomena, but not in the construction of explanatory theories.
(Mouton and Marais, 1991).
It is important to realise that reliability of data forms the basis for claiming that phenomena
exist. In establishing that data are reliable evidence for the existence of phenomena, we
control variously for confounding factors (experimentally and statistically). While reliability
is the basis for justifying claims about phenomena, we will see later that judgments about
explanatory coherence are the appropriate grounds for theory acceptance.
The notion of robustness, which has long been considered important in science, carries with it
the idea that there need to be multiple means for establishing the nature and existence of
phenomena. Strategies of multiple determinations are important because they are the major
means by which we establish the reliability needed to justify claims about phenomena.
Internal validity will naturally precedes external validity (or generalisability). The most
important threats to internal and external validity are: invalid constructs, inaccurate
measurements, unreliable data, invalid conclusions and non-representative sampling. Once
the results of the survey can be validated internally, it can be investigated in other provincial
or public sector institutions.
Sources Of Primary Data
Primary data was obtained from the management and staff of the various branches within the
DEAAT. The targeted profile were staff who had the responsibility of delivering the
objectives of the DEAAT, comprising staff from the Knowledge Economy and E-
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government, Transport and Works, Business Promotion and Tourism, Corporate Affairs and
Agriculture branches. Although it was initially envisioned that all branches in the
department be interviewed, Agriculture Branches had to be excluded from the study due to
the time constraints to produce the report.
Exploratory research was first conducted only on the senior management to determine their
understanding of knowledge management, and how it is linked to their strategic objectives.
The remainder of the research is essentially descriptive (quantitative) and includes the
knowledge management assessment questionnaire (Appendix 4) that was based on a Likert
scale. The in-depth interviews (list of questions in Appendix 5) also served as the validation
of the findings.
Sampling Plan
Theoretical sampling is the process of collecting data for comparative analysis, and is
especially intended to facilitate the generation of theory. The emerging theory enables the
researcher to select comparison groups on the basis of their theoretical relevance. As we
conducted the interviews ourselves, we were, throughout the investigation, active samplers of
theoretically relevant data that identified the central variables of the emerging theory. The
senior management, with whom the in-depth interviews were held, were not exempt from
completing the questionnaire.
Sampling Method
Non-probability sampling was be used to select the candidates for the in-depth interviews
conducted on the senior management of the DEAAT (i.e., exploratory research), as no
statistical calculations on the data were envisaged. Sampling was therefore based on
judgment and convenience due the time constraints of the project. At least one senior
manager from each branch was interviewed.
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Probability sampling was used for the descriptive research (i.e., the knowledge management
questionnaire) because inferential statistical analysis was required. Proportionate stratified
random samples were taken (according to the respondent’s designation and branch within the
DEAAT) because a heterogeneous response profile was expected. The simple random
sampling was not chosen because it would assume a homogenous response and there was the
possibility that responses, pertinent to the study, would not have been obtained.
8.1.1 Sampling Unit Selection
The selection of proportionate sampling units was taken from the six branches within the
DEAAT, depending on their relative staff numbers and staff level. A number was assigned to
the individuals in each branch according to their respective staff level. For example, for the
Transport branch, a list of staff names and designations were obtained and the staff with
similar designations were grouped into four categories and then numbered as shown in Table
5.
Proportionate Stratified Random Sample Selection
Designation Deputy Director General; Directors
Assistant Director;Deputy Director
Senior Admin. or Technical
General Admin. or Other
Number of Staff
1. Mr A 2. Mr B
1. Mr A 2. Mrs B 3. Mr C
1. Mrs A 2. Mrs B
1. Mrs A 2. Mr B 3. Mr C
Table 5: The plan for the random selection of a stratified sample
Numbers were then chosen randomly from a box and were used to select staff to fill in the
questionnaire.
There was no rigorous way in which the required sample size could be calculated accurately,
mainly due to the uncertainty of the response rate. The sample size determination was
therefore a matter of judgment based on the time costs. A response rate of 10 - 30 % from
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each branch was considered desirable, depending on the size and structure of the branch.
There is 2147 staff employed by the DEAAT (excluding vacant posts) as shown in Table 6.
Staff Numbers within the various Branches
Property Management &
Works
Business Promotion &
Tourism Agriculture Transport Corporate
Affairs
Knowledge Economy & e-govt.
TOTAL
280 25 700 1018 120 4 2147
Table 6: Staff numbers within the various branches
The Agriculture section was omitted from the quantitative study due to logistical reasons, and
was not considered as part of the population. The scope of the findings therefore covers the
five remaining branches of the DEAAT, with a population of 1447. For the quantitative
analysis, any reference to “DEAAT” would implicitly exclude of the Agriculture branch.
The job grades range between 1 and 16, with the more senior personnel having the higher
grades. Because of the diverse grading classification of staff designations, four categories
were broad enough to capture the appropriate staff, namely,
(i) Director General, Chief Directors and Directors;
(ii) Assistant and Deputy Directors;
(iii) Senior Technical and Senior Administrative; and
(iv) General Administrative and Other staff.
The first two categories were subsequently combined into one to represent senior
management.
On the question of generalisability (i.e., whether wider claims can be made on the basis of this
research) one recognises that there may be many sources of error (e.g., other departments
within the PAWC may produce varied outcomes), and this poses difficulty on the qualitative
research. Here, however, the samples chosen for the study were viewed to be
representative of the factors that may explain variations in the subject being studied.
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Data Collection
The three methods that were used for data collection included hardcopy questionnaires (for
the survey), tape recordings (for the interviews) and manual transcript (for the interviews).
The meetings were arranged at least one week in advance, and confirmed telephonically on
the day of the interview. All the meetings were conducted at the interviewee’s workplace.
The personal interview approach also allowed the researchers enough scope to sense the
cultural climate within the organization.
8.1.2 Questionnaire Design
A structured questionnaire (i.e., a fixed response format) was preferred over the unstructured
(or open-ended questionnaire), because it was considered simpler to structure the data for
analysis. The questionnaire was formatted in a disguised form (i.e., with no headings to
explain the purpose of the questions). This was preferred so that the respondent does not feel
pressured to give biased results. Refer to Appendix 4 for the full Questionnaire.
The front page of the questionnaire contained:
(i) A brief definition of Knowledge Management as described by Bukowitz and Williams
(1999) and Skyrme (1999).
(ii) The purpose of the questionnaire.
(iii) A note on the confidentiality of the information.
(iv) A brief explanation of how to fill in the questions.
The questionnaire was piloted among peers within other government departments to obtain
feedback on the relevance of the questions (length of time, degree of difficulty, etc.,) as well
as on possible amendments. It was found to be generally easy to fill in and took between 20
to 30 minutes on average to complete. A contact number was placed at the end of the
questionnaire in case of any difficulties.
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The 60 questions used in the survey were adapted from the knowledge management
diagnostic described by Bukowitz and Williams (1999). The questions were designed to
assess the various knowledge management processes as follows:
Questions 1 to 15 represent knowledge creation
Questions 16 to 30 represent sharing of knowledge
Questions 31 to 45 represent application of knowledge
Questions 46 to 60 represent retention of knowledge.
.
The Question Ratings convert to the Likert scores as follows:
ANSWER LIKERT SCORE INFERENCE
STRONGLY DISAGREE 1 1 Very low
DISAGREE 2
2 Low
SO-SO 3 3 Moderate
AGREE 4
4 High
STRONGLY AGREE 5
Average score per set of 15
questions
5 Very high
Table 7: The translation of the Likert scores to the rating of the KM processes
The printing of the questionnaires and distribution to the relevant selected staff were carried
out by the DEAAT.
Interview Protocol
The purpose of the interviews was to establish managements understanding of knowledge
management, whether they have already undertaken/or support the knowledge management
initiatives of the PGWC, whether they perceive knowledge management to be linked to the
broad strategic objectives of the department as stipulated in the DEAAT business plan.
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The objectives of the interview findings were as follows. Refer to Appendix 5 for the list of
interview questions and answers.
I. To assess the validity of our claims
II. To obtain a general overview of the current status of knowledge management in
the Department
III. To refine the design of the framework
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Data Analysis
8.1.3 Data Preparation
The transcripts of the in-depth interviews were categorized into their respective branches and
profiled according to the answers given. The output of this exercise determined the current
senior management perceptions of knowledge management and highlighted the possible
barriers, Department strengths and weaknesses.
The first stage in the preparation of the questionnaire data, required capturing all the
information into a Microsoft Excel spreadsheet format. This was accomplished by setting up a
database using Microsoft Access (computer software). Once set up, entering the data took on
average 2 to 3 minutes per questionnaire. A checklist of respondents was kept to verify that
the desired spectrum had been sampled. On completion of all the data checks and clean-up
procedures (e.g., deleting cases where there were no designation, years of service, etc.), the
data was transferred to STATISTICA (computer software) so that the necessary statistical
analyses could be processed conveniently.
8.1.4 Descriptive Statistical Methods
The percentage respondents and the sample percent per section were determined first. Each
of the sixty questions was simultaneously subjected to the basic descriptive statistics namely:
count, skewness, mean and standard deviation. The averages of questions 1 to 15; 16 to 30;
31 to 45 and 46 to 60 were calculated to represent the diagnosis of the knowledge
management processes: creation, sharing, application and retention, respectively. This
procedure was conducted on the entire sample, and then on the various branches individually.
The actual data and descriptive statistics are given in Appendix 6.
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8.1.5 Graphical Representations
Pie charts of the percentage respondents for the organization were constructed and broken
down by branch and staff level. From the questionnaire data, frequency distributions
represented by box-and whisker were constructed (See Appendix 7). The questionnaire data
analysis findings were represented on a web diagram.
8.1.6 Measures of Association
Factor analysis was used to find the latent variables amongst the observed data. It can also be
used to reduce the number of variables (factors) that can be used to explain the variance in the
larger set of variables. As part of the exploratory (grounded theory) research, factor analysis
was used to group the latent variables or characteristics that were used to identify the
particular theme to which the interviewees responded.
Factor analysis was also conducted on the subsets of variables (15 questions) that explain the
themes hidden in the questions for the “creation”, “sharing”, “application” and “retention” of
knowledge.
There are three stages in factor analysis, namely:
(i) Generation of a correlation matrix (i.e., a rectangular array of numbers which gives the
correlation coefficients between a single variable and every other variable in the
investigation)
(ii) the extraction of factors by observation of their Eigenvalues (the higher the Eigenvalue
the more significant the factor), and
(iii) rotation of the factors to maximise the relationship between the variables by
determining the absolute factor loadings. The higher the absolute factor loading the
more the factor contributes to the variable. The idea of rotation is to reduce the
number of factors on which the variables under investigation are heavily loaded. The
rotation does not really change anything but makes the interpretation easier.
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In this study, the Principal Factor Extractions were conducted and only those factors with
Eigenvalues greater than 1 were chosen. Varimax (Normalised) rotation was used to extract
the variables with factor loadings of greater than 0.70. However, lower Eigenvalues (but
close to 0.70) were also considered. A Scree plot (a graph of the Eigenvalues against all the
factors) was also generated. The graph can be useful for determining how many factors to
retain, but the selection can also be done automatically in STATISTICA. The point of
interest is where the graph starts to flatten.
The factors extracted from the data were then tabulated and various themes were associated
with the variables themselves. The average scores corresponding to the factors were then
determined. This exercise was repeated for the various branches, designations and periods of
service. The chi statistic was used to determine any associations between the responses and
the designation level and year of service.
The questionnaire data received were as follows:
Branch Number of Staff
Number of Questionnaires
Distributed
Number of Questionnaires
received
Response %
Sample Size %
Bus. Prom. & Tour. 25 23 12 52 48 Prop Mgt & Works 280 27 17 63 6
Corp. Affairs 120 17 17 100 14 Trans. & Infra. 1018 34 27 79 3
KEEG 4 4 1 25 25 TOTAL 1447 105 74 71 5
Table 8: The response to the survey questionnaire
The overall percentage response of 71% is considered good for this type of study particularly.
This may be due in part to the respondents being randomly selected (from the various staff list
provided) prior to distribution. The reason for the low distributions to the Transport &
Infrastructure and Property Management & Works branches is because the bulk of the staff is
off-site and not readily contactable. The spectrum of respondents is shown in Figure 8 and
Figure 9.
IGHT U
CT
The spectrum of respondents was considered representative of the knowledge base required
for the delivery of the DEAAT’s objectives, but as observed in Figure 9, the breakdown
heavily favoured the < 3 yrs category.
Figure 8: The profile percentages of the responses according to job designation
Fig
PROFILE OF RESPONDENTS ACCORDING TO DESIGNATION
Senior Management
22%
Senior Admin/ Technical
43%
General Admin/Other
35%
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PROFILE OF RESPONDENTS ACCORDING TO YEARS OF SERVICE
4-10 yrs7%
11-15 yrs22%
> 15 yrs13%
< 3 yrs58%
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9 KEY FINDINGS
Although the frequency distributions of some of the data are not considered to be normal (see
Appendix 6), the numbers themselves are structured enough not to cause much interference
and outliers were not rejected (as per discussion with T. Wegner). Straight averages were
seen as representative of the findings. However, as a precautionary measure, the averages of
only the normally distributed data were also conducted, to determine any variation of the
findings. The box and whisker plots given in Appendix 7 give an indication of the variation
of the data. The range (maximum and minimum scores) for the questions is from 1 to 5
indicating diversity of opinions.
The overall knowledge management processes within the DEAAT are considered to be
moderate as each of the aspects, creation, sharing, application, and retention had average
scores of 3.
Figure 10: The Overall Results of the KM Processes for the DEAAT
The three branches: (i) Business Promotion and Tourism, (ii) Corporate Affairs and
(iii) Transport and infrastructure had similar diagnostic graphs to that of the overall DEAAT.
However, the Property Management and Works branch differed on the aspect of application
of knowledge, scoring 2 out of 5.
Knowledge Management Diagnostic
012345
Creation
Sharing
Application
Retention
DEAAT
The responses according to the Job Designation (three categories) and Years of Service (four
intervals) also showed similar results to those shown in Figure 10. It was earlier
hypothesised that there may be an association between the years of service because the
sample appears to be heavily skewed towards the group that had less than 3 years of service
with the DEAAT (equal 58% of respondents)
Statistical co
any associati
of service in
Factor Anal
The factor an
components
These 16 fac
plot (See Ap
were used fo
order of sign
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Figure 11: The overall results of the KM processes according to years of service
and job designation
rrelations conducted on the variables show that there is no evidence to suggest
on between the knowledge management processes and job designation or length
the DEAAT at the 95% confidence level (See Appendix 10).
ysis
alysis on the questionnaire data (60 sixty variables) produced 16 Principal factor
(see Appendix 8 for their respective Eigenvalues and rotated factor loadings).
tors account for over 80 % of the variance in the data. Inspection of the Scree
pendix 9) shows that graph flattens out after factor 5, hence the first five factors
r further study. The Five most important themes that emerged in decreasing
ificance are as follows:
Knowledge Management Diagnostic
012345
Creation
Sharing
Application
Retention
Years of Service &
Designation
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Factor Emergent Theme around the questions
F1 Organisational Culture: Openness, ideas valued, external work
setting
F2 Knowledge specialists, Updated repositories, People-focused
technology training
F3 Access to IT systems – connectivity, network people, facilitate
retention of knowledge
F4 Regarding people as assets rather than costs
F5 Mapping of Knowledge activities and assessment of knowledge
needs
Table 9: The five major factors extracted from the raw data.
The variables that constitute the most important factor (F1) are the KM process of
knowledge application.
The variables that comprise the second major factor (F2) are grouped within the set of
questions on knowledge creation.
Factor (F3) and (F4) are both grouped within the set of questions relating to the retention of
it knowledge. The questions that underpin (F4) are directly related to knowledge retention.
Factor (F5) lies in the set of questions that represent knowledge sharing.
The remaining factors isolated from the survey data are given in (Appendix 11).
Five Principal Factors were extracted from the data for the questions related to creation of
knowledge. The Factor Loadings (Eigenvalues) are provided in Appendix 12.
Factor Emergent Theme around the questions
F1 Knowledge specialists, Updated repositories, People-focused
technology training
F2 Assessment of KM processes and assets
F3 Routine knowledge sharing of expertise
Figure 13: The theme for the factors are associated with knowledge creation
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Three Principal Factors were extracted from the data for the questions related to sharing of
knowledge. The Factor Loadings (Eigenvalues) are provided in Appendix 13.
The importance factors decrease from F1 to F3
Factor Emergent Theme around the questions
F1 Value non-work learning, Openness to learn
F2 Knowledge specialists and performance appraisal support sharing
F3 Group activities promoting sharing, Locating experts to share
Table 10: The theme for the factors is associated with knowledge sharing
Three Principal Factors were extracted from the data for the questions related to application of
knowledge. The Factor Loadings (Eigenvalues) are provided in Appendix 14.
The importance factors decrease from F1 to F3 Factor Emergent Theme around the questions
F1 Culture: Openness, ideas valued
F2 Value creativity, flexibility, feedback
F3 Flexible organisation and connected workspace
Figure 11: The theme for the factors is associated with knowledge application
Three Principal Factors were extracted from the data for the questions related to retention of
knowledge. The Factor Loadings (Eigenvalues) are provided in Appendix 15. The scores of
these variables were also computed (See Appendix 16).
Factor Emergent Theme around the questions
F1 Codifying tacit knowledge, Learning partnerships with outside
organisations
F2 Access to IT systems – connectivity, network people, facilitate
retention of knowledge
F3 Focus on core competencies
Figure 12: The theme for the factors is associated with knowledge retention
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Inhibitors To Knowledge Management
The following list was compiled from the interview responses of the top management. They
were clustered into themes, and are arranged in descending order of importance:
Organisational Structure Management Style
Bureaucratic structures and procedures
"Machine organisation" – no creativity, initiative
Functional/Departmental silos
Poor capabilities of workforce
Command and control
Departmentalism/competition
Lack of management support
Organisational Culture Change Management
Behavioural changes: mindset
Lack of sharing due to power and status
Changes in technology
Cultural resistance to e-government
Affirmative action
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10 ANALYSIS AND DISCUSSION
In this section the key findings will be analysed and discussed. This is based on the findings
derived from personal interviews with thirteen (44%) of the senior managers, comprising of
Deputy Director-Generals, Chief Directors and Directors, and from the data analysis of the
Knowledge Management Diagnostic questionnaire (n = 74).
Conceptual Understanding of KM
Knowledge management is an emerging discipline with a growing body of literature over the
past decade. There exists a range of definitions of KM. The word knowledge itself is very
ambiguous, which is expected as the current thinking is informed by a rich and long tradition
of debate in Western epistemology dating back to Plato and Aristotle.
The thirteen senior managers interviewed in the DEAAT reflect a diverse conceptual
understanding of knowledge and KM. Half of the managers interviewed defined KM as
"inherent in our line functions, processes, structures, business processes, and existing in
policies", and is "not necessarily a separate management issue" (Appendix 5).
Two managers described KM as systematic and explicit. A Deputy Director-General
contended, "knowledge management is building a systematic, reliable, qualitative, intuitive,
evaluative, and iterative system for decision-making"(Appendix 5). While another Deputy
Director-General expressed scepticism of KM as the latest fad. A quarter of the managers
identified KM processes of acquiring, transferring, retrieving, and application of knowledge
as central to KM.
The differing elements of the manager's understanding of KM are to be found in the current
literature on KM. Earl (2001: 215) states "knowledge management, like knowledge itself, is
difficult to define". His proposed taxonomy comprising seven schools of KM suggests that
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KM can be defined in different ways. Myers (in Beckman, 1999:1-3) defines organisational
knowledge "as knowledge captured by the organisation's systems, processes, products, rules,
and culture". Beckman's (1999: 1-6) survey of the existing literature in KM indicates that
most authors define KM as "systematic", "explicit", and "deliberate" to "achieve the
organisation's objectives", "create value", " produce the biggest payoff or return", and "make
the best decision", through the processes of "acquiring, creating, organising, transferring,
using and storage."
The major implication of the various conceptions of knowledge is that each perspective
suggests a different strategy for managing organisational knowledge, and a different
perspective of the role of people and systems in support of knowledge management.
It is evident that there is no common, explicit or accepted description of knowledge or KM in
the Department. As the driving force to become a knowledge-centric organisation and the
champion of e-government, DEAAT needs to develop a shared and explicit definition of KM.
This would provide the Department's managers and members with a clear understanding of
the conceptual nature of knowledge and its management, and the collective direction for
future KM initiatives.
Alignment of Knowledge Management with Business Strategy
All the managers interviewed agreed that the Departmental strategic objectives are not linked
to any knowledge management objectives, but are implicit in their strategic objectives. There
is no formal or explicit KM policies, goals, and strategies. A Director confirmed, "knowledge
objectives do not appear in our strategic objectives. It is neither part of human resources
management nor information management (Appendix 5).
However, there is a broad recognition amongst the top management that the alignment of
business strategies with KM objectives is essential in fulfilling the Department's strategic
objectives. This is reflected in a Director's statement: "there is a definite belief that
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knowledge management would facilitate the achievement of the Branch’s strategic
objectives". A Chief Director affirmed: "the Department cannot perform without tapping
into knowledge via experience and intellect. Therefore, enhancement of knowledge
management will enable the achievement of the Branch’s strategic objectives" (Appendix 5).
.
Knowledge is becoming more important as a corporate currency as we soar into the
knowledge era, and top management is forced to make explicit, and communicate clearly and
concisely its knowledge management strategies. Knowledge management is not a
programme, but a new way of working that needs to be embedded into the overall strategy
and organisational design. Davenport (1999: 2-1) concludes that "if a concept such as
knowledge management is to have a broad impact, it must be integrated with the firm's
existing strategic direction or propel it into a new one. Knowledge management must affect
the most important areas of the business, improve the firm's most critical objectives, and be
viewed as an integral part of strategic business initiatives."
He further points out that few companies have had an explicit KM strategy; and that they have
proceeded opportunistically, and middle-level managers have attempted to manage whatever
knowledge was under their own control. However, a few organisations, from Warner-
Lambert to Hewlett-Packard to the United States government, that initiated KM initiatives in
the 1990s, expound the importance of the relationship between knowledge management
strategy and corporate strategy (Martiny, 1998; Seeley and Dietrick, 2000; Yu and Hartman,
2000). It was through such integration of KM that the ongoing strategic objectives, core
competencies, and employee capabilities were transformed, and the performance of these
organisations improved in a noticeable way.
The mission of the DEAAT, presented in its Business Plan 2001-2002, is "the active
promotion of an environment conducive to rapid and sustainable economic growth which will
result in a world-class economy…" (DEAAT, 2001: 9). Most of the strategic objectives of
the Department focus on enhancing the efficiency and effectiveness of its service delivery to
citizens. An expected key result "is the development and implementation of Cape Gateway
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and a Cape Online strategy"(DEAAT, 2001: 10). The nature of these objectives is
knowledge-centred, i.e., they will require the investment of intellectual assets for its
realisation. If knowledge is crucial to its strategy, then several questions arise from the
perspective of KM that require answers from the senior managers:
What knowledge do we need to carry out these strategy execution activities?
Which aspects of our knowledge environment should we be assessing?
Which knowledge domain (clients, services, products, partners, or others) is most
important to the Department?
Which type of knowledge is more important to manage: tacit or explicit?
KM Processes in the DEAAT
The interviews, to a limited extent, and the questionnaire explored the KM processes of
sharing, creation, retention, and application in the DEAAT. The Department has neither
systematically nor formally assessed its existing knowledge or its KM processes. A skills
audit was undertaken in 2000, although the managers are unaware of the outcome of this
audit.
Knowledge Sharing
Half of the managers interviewed, indicated that the sharing of knowledge was a major
weakness in the Department. This represented the views of all managers in the Business
Promotion and Tourism Branch, and fifty percent of those from Transport, and Property
Management and Works Branches. The Corporate Affairs' managers considered the sharing
of knowledge as their Branch strength. A Director observed that "some employees feel
intimidated if they share too much of their knowledge, they say that they will eventually lose
power and status and will no longer be needed for their knowledge. There is a culture
whereby one uses their own knowledge for their own purposes only" (Appendix 5).
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The tradition of "turf protection", "departmentalism", and "cautiousness" with regard to
information and knowledge, and the "withholding of knowledge, especially in the areas
outside one's own knowledge base" (Appendix 5) characterises an organisational culture of
hoarding
The overall moderate level of knowledge sharing (Figure 10) indicates its middle-of-the-road
position within the Department. This is not an optimal state for an administration that is
pursuing electronic government strategies in the knowledge economy. Guidance on focus
areas for this KM process can be gained from the principal factor on knowledge sharing, viz.,
openness to new learning, and valuing non-work learning. These underscore the need for
creating flexible, non-hierarchical work environments that promote learning; valuing
informal, and experiential cognitive processes. The factor analysis also places emphasis on
the essential role of knowledge specialists, such as chief knowledge officers, or their
equivalents, and knowledge managers, in the knowledge sharing process.
Dr. Shereen Remez, chief knowledge officer of the General Services Administration (GSA) in
the United States government confirms the situation in the DEAAT as typical for the public
sector: "We are brought up in a competitive world. People say, 'If I tell my secrets I won't be
an expert anymore; they will all know what I know and I won't be valued as much'"(Yu and
Hartman, 2000: 18).
Organisational success is inextricably tied to the ability to share and leverage knowledge in
order to provide predictable high quality service delivery to clients. Knowledge management
begins with processes to share and create knowledge and is sustained by a knowledge-friendly
culture.
How does an organisation improve its ability to share? Here are some innovative examples:
The USA Navy presented its first Knowledge Sharing Award recognising outstanding
cross-organisational knowledge sharing and innovative knowledge sharing (Bennet,
2000).
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The GSA has developed reward systems so that people will be recognized for sharing best
practices, e.g., a best practices sharing pilot in the GSA's Public Building Service (Yu and
Hartman, 2000).
Sharing by putting information on the Web site or database, or attending a workshop to
share best practice is becoming common practice.
Grover and Davenport (2001) have pointed out that one of the most common objectives in
KM projects involves implementing some sort of knowledge repository, to capture
knowledge for later and broader access by others within the organisation.
A community of practice is an organisational concept that is receiving much attention as a
mechanism for sharing and learning across the organisation (McDermott, 1999; Burk,
2000; Stewart, 2001). It is based on the common ground of a professional discipline, a
skill, a topic, a product category or a business process, and others. Creative communities
such as incubators and innovation circles are becoming vogue in new product
development. The University of Cape Town Centre for Innovation & Entrepreneurship,
based at the Graduate School of Business, has created novel initiatives, such as the
International Venturing Laboratory (IV Lab), that function as a COP.
Knowledge Creation
The managers in all the Branches, except Business Promotion and Tourism regarded
knowledge creation as a major problem within their Branches. Some managers highlighted
two constraints to knowledge creation: time and operating in a crisis management mode.
"There is no time to even record basic data or for research or collection of statistics in
acquiring new knowledge. We are reacting to crises and get a little input, with no active
process to acquire better solutions", commented a Director. His colleague noted that
"knowledge creation is not proactive in identifying knowledge needs and we have not
dedicated staff to it"
A skills audit questionnaire was distributed to all employees in early 2000 to obtain
information on their personal details and skills sets. The Chief Personnel Officer regards the
requisite capabilities in their job descriptions as the knowledge that is needed to achieve their
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objectives. By August 2001, fifty percent of the questionnaires were returned, and currently a
quarter is outstanding. A gap analysis of the requisite skills and the available skills will be
completed by January 2002, to meet the statutory requirements of the Workplace Skills Plan.
The top management indicated that they acquired knowledge through meetings, direct
sharing, professional bodies, "communities of practice", international seminars, associations,
Internet, Intranet, reports, Universities, training, continuous education, working groups and
literature.
The diagnostic reveals that there is a moderate level of knowledge creation in all the Branches
(Figure 10). The first principal factor for knowledge creation - the need for knowledge
specialists - underline the challenge to appoint senior people for managing the knowledge
creation process.
Having knowledge repositories that are relevant and current also features on top of the list of
factors. Together with appropriate IT application training (another top factor), which
enhances the capabilities and the connectivity of members, the content of these repositories
should be the product of knowledge conversion from tacit to explicit or externalisation, to use
Nonaka's (1994) language. This reinforces the paradigm that KM is about people, and the
need to value the organisation's intellectual resources, while promoting greater social
interactions through collaborative business processes, and enabling technology, that
encourage sharing.
The assessment of KM processes and knowledge assets, high up in the principal factor list,
highlights the significance of organisational knowledge self-evaluation. Having insights into
the Department's intellectual resources, together with the processes that acquire, create,
transfer, use and stores knowledge, must form part of the strategy formulation process of the
organisation.
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Knowledge Retention
The managers interpreted the retention of knowledge as the storage of information, and the
loss of human resources. It is evident from the managers' responses that the Department's
intellectual capital and specialised knowledge is compromised when employees leave the
Department. "The political transition saw many experienced personnel leave and this exodus
had a detrimental effect on the Department", recalled a Director. And a Chief Director
concurs that "when knowledgeable people leave the Branch there is an anticipated drop in the
level of service delivery or strategic objectives". Another senior manager observed, "when
people leave they leave with their knowledge. This creates a huge vacuum, as new people
take a long time to get knowledge, as government-specific knowledge is required"
(Appendix 5).
Knowledge storage is mostly paper-based with tomes of documents and files a typical feature
in government offices. The content of these documents comprises management decisions,
policies, and project reports. A Deputy Director-General noted that the information contained
in these documents may not be easily communicated to all staff members and that the Branch
has no documented best practices. There is no documentation of lessons learnt from the
hundreds of projects undertaken or from the wide range of services delivered. Only two
managers interviewed have recorded limited number of best practices. Best practice creation
is vital for retaining and sharing the learning from the different Branches. A Chief Director
disapproved of the volume of paper documents, in the form of legislation and policies, that
land on his desk, as they were difficult to comprehend and required many hours to peruse.
"The retention of knowledge is a problem. Without proper retention one cannot share
knowledge". "The document tracking system is not functional. There are eight databases in
this Provincial Government and they don't talk to each other". These remarks, from top
management, draws attention to the principal factors of knowledge retention in the DEAAT -
codifying tacit knowledge, access to IT systems and connectivity, and facilitating the
retention of knowledge. The latter requires access to tools to store knowledge, and
knowledge repositories, i.e., systems to facilitate storage and retrieval of knowledge. The
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diagnostic reveals that there is a moderate level of knowledge retention in all the Branches
(Appendix 5).
Knowledge Application
In general, the mangers responded positively to the level of knowledge application in the
Department. A Transport Director was upbeat about this KM process: "The use and
application of knowledge are the Branch's strong points." A large part of the application is in
the form of directives, i.e., standard operating procedures (SOPs), rules and instructions.
"There are operating procedures in place that help minimise the reliance on tacit knowledge",
commented a Director. The second form of knowledge application is through organisational
routines that are mainly professional, i.e., by engineers, architects, economists, agronomists,
and human resources and financial professionals. The third way is through self-contained
task teams that are set up for a specific assignment on a needs basis.
The diagnostic reveals that there is a moderate level of knowledge application in all the
Branches, except Property Management and Works, which scored low (Appendix 5). This
knowledge process factor analysis revealed that an organisational culture that is characterised
by openness, creativity, flexibility, feedback, and that values members' ideas, is necessary for
the effective application of knowledge.
A crucial area for attention is to create flexible and connected workspaces that supports access
to information for the workforce. This demands the mental liberation from the oppressive silo
mentality of functional and hierarchical barriers, not to mention the redesign of the physical
workplace, and the integration of the current databases to create a single KM portal. To make
good management-decisions, people need access to the whole organisation, and not only
restricted to information in their line departments. The Department needs to become a
learning environment, encouraging people to value and increase the knowledge they have.
Thus, additional educational opportunities and interactive, social ways of leveraging tacit
knowledge should be promoted.
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Information and Communications Technology
There is a wide range of supporting technologies available in the Department to support the
knowledge management processes, namely, personal computers, the Internet, databases, and
the Intranet. Under half of the senior managers assessed their Intranet (GroupWise) as
effective, and two thirds said that the Intranet was used daily by their staff as an email service.
A manager indicated that e-mail is a convenient mechanism of exchange of information, but
some still do not acknowledge e-mail messages as being official. The IT support to users in
the Department is uneven.
A manager said: "Strategic objectives are not necessarily aligned with the knowledge
management processes in that databases are not shared among departments…each has its own
separate system". A Deputy Director-General is confident that technology will assist in
making knowledge accessible as "in government we have a lot of information locked in files -
paper-based and not accessible, though the right people should have access".
The five Branches of the Department are part of the PGWC web site:
www.westerncape.gov.za. A search done on this web site's directory for the key words
"knowledge management" resulted in zero matches. A message posted on the "Contact Us"
page requesting documentation on knowledge management in the provincial government,
over six weeks ago, has not elicited any reply. Though you are promised "We will make sure
that your message gets to the right people" (http://www.westerncape.gov.za/contacts.asp,
2001).
In realising the provincial policy on the knowledge economy, the DEAAT is currently
establishing its e-government structure, Cape Gateway. At present, there are no online
electronic services available from the provincial government. A consultation process with the
other Departments is underway for feedback on a portal template. Prior to this there were
presentations to all the Departments outlining the Cape Online Strategy.
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The organisation's attempts to transform itself into a customer-driven e-government leader in
South Africa are in its embryonic stage. The views expressed by some of the managers
interviewed reveal that better consultation and communication is necessary to enable the
managers and the workforce to engage practically with e-government. A Director surmised:
"I know they are setting up web pages … they do not affect my work … most people don't
know who they (Cape Gateway) are". While other senior managers who recognise the
benefits of e-government, and consider it a good concept, are apprehensive about its
implementation. As a Director points out: "We need a mind-shift from serving the needs of
the Department to serving the needs of the client. Province is not ready at a management
level … the hierarchy is a limiting factor, a user-based approach will not be accepted by
management. The structure of the Department shows a control mindset. The pilot study on
motor vehicle registration is a far cry from doing things electronically."
The success of the e-government initiative will depend on the re-engineering of business
processes, electronic information documentation, networked databases, identifying the
relevant expertise, and the integrity of the current IT systems. These elements do form part of
the Cape Online Strategy, however, Cape Gateway has focused its attention on establishing
the IT architecture for e-government.
The contemporary literature on KM cautions organisations focusing mainly on the delivery of
technological solutions as they are bound to be less than successful (Seeley and Dietrick,
2000; Yu and Hartman, 2000; Grover and Davenport, 2001). Organisational and people
issues which are not readily solved by IT systems would need to be resolved. There is a
widespread concern that governments are concentrating too much on the visible use of
information technology for electronic service delivery to citizens, and on the benefits of e-
commerce, while neglecting internal information exchange, in and, between Departments,
agencies and other local stakeholders (Harvard Policy Group, 2001). "Technology is a useful
tool, necessary but not the driving force, whereas knowledge management is about people"
(Remez in Yu and Hartman, 2000).
.
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Approaches to KM should be primarily about creating the right environments, opportunities
and motivation for people to meet or talk and transfer knowledge in context. It is very
important to distinguish this from information management and retrieval systems.
By organising and developing employee skills, talents and expertise KM emphasises the
human mind, which is still the best way to solve a customer's problem. Contextual issues
such as organisational cultural change that inevitably accompanies a KM effort is relegated to
the bottom of the KM agenda. At Hewlett-Packard, obtaining results depended on energizing
the organization toward achieving the desired behaviours through committed leadership,
purposeful processes, easy access to knowledge and an open and trusting culture (Martiny,
1998).
Inter- and Intra- Departmental Information Flows
Half of the managers did not know what projects were in progress in the other Branches of the
Department. The internal experts were known to only a third of the managers. Most of the
managers characterised the information flows within the Department, and between the
Departments, as weak and in need of improvement. The management forum meetings were
regarded as useful for feedback on projects. A Director remarked that: "we need to change
the internal communications such as the route forms. The one half does not know what the
other half is doing. So you will have problems with a call centre as the referral system will
not work".
These sentiments underscore the information flows in the DEAAT: "senior managers know
the projects in the other branches but they should improve the transfer of this information
down the hierarchy". "Inter-departmental co-operation is a weak point. There is a major lack
of communication between certain branches and this is an area for improvement". "The
transfer of knowledge is inhibited by the bureaucratic structure of the organisation.
Communication lines are poorly designed and the messages cannot be effectively
communicated because of ‘red-tape’ issues".
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There has to be a carefully considered review of the information assets and flows within the
Department. This will require time, effort, skill, and the commitment, support and
understanding of senior managers. The poor state of information flows could have major
implications on the success of any future KM initiatives and e-government.
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11 KNOWLEDGE MANAGEMENT FRAMEWORK FOR THE DEAAT
In the absence of dedicated KM strategies, the DEAAT does not benefit from harnessing their
knowledge, as they should. "A framework for knowledge management is needed", alluded a
Director.
The factor analysis indicates that the key principal factors can be divided twofold into: social
and cultural, i.e., valuing diversity of ideas, interpersonal relationships, teamwork, the
importance of tacit knowledge, and the ability to manage change; and, structural and systemic
– bureaucracy, organisational flexibility, information systems management, repositories of
knowledge. These factors should inform the choice of appropriate KM initiatives that will
support the organisation. Top management must respond to the organisational and
behavioural challenges of KM in the Department.
The aim of this framework is to explicate a cohesive understanding of knowledge and
knowledge management within the DEAAT that will form the conceptual and theoretical
foundation for the development and implementation of KM strategies. There are five stages
in the framework (Figure 12): (a) defining KM, (b) knowledge self-evaluation, (c) developing
knowledge goals, (d) choosing KM initiatives, and (e) implementation of KM solutions. The
framework is eclectic in design and content, drawing from a wealth of case studies of KM
initiatives in the public and private sectors, and academic writings.
Drawing from other KM initiatives, such as the GSA, it would be advisable for the
Department to identify KM pilots that are critical to its strategic objectives and manageable.
Creating Awareness
Introducing a knowledge management initiative requires change management. The intentions
and objectives of knowledge management should be communicated to the organisation and
staff should be allowed to participate in building the strategy for a KM initiative.
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Gain participation in building the process for implementing KM initiatives, including –
who will be the champion (individual and/or department), what knowledge should be
mapped, how knowledge will be accessed, how it will be distributed, how it will be
developed, how reward and recognition systems should be implemented, etc.
Communicate development of the initiative as broadly and as frequently as possible.
Ensure that the appropriate training occurs.
Definition of knowledge and KM
As the driving force to become a knowledge-centric organisation and the champion of e-
government, DEAAT needs to develop a shared and explicit definition of knowledge and
KM. This would provide the Department's managers and employees with a clear
understanding of the conceptual nature of knowledge and its management, and the collective
direction for future KM initiatives.
Organisational Knowledge self-evaluation
This research report attempted to assess the top management's views on a variety of KM
issues, and the current state of KM processes within the DEAAT. The first step in
implementing a KM solution is self-evaluation. The organisation needs to look at how you
are handling knowledge at all levels. This will indicate the knowledge culture and the status
of KM within the organisation.
What kind of sharing is being done successfully?
How accessible and relevant is the database?
Are there communities of practice in the organisation?
Are people sharing war stories or, information about their expertise?
Is tacit knowledge or explicit knowledge more important to manage?
What are the potential barriers for the KM processes?
For the strategy team to be effective during the strategic planning process, it will require a
good understanding of what knowledge exists and what knowledge is still required. KM
needs a closer tie to business strategy, and vice versa. The skills audit undertaken by the
organisation has severe limitations as an instrument for this purpose. Besides the relevance
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the information, collected over a period of two years, its objectives and methodology are not
aligned to the strategy formulation process. The organisation must also have awareness of the
capabilities of each person, and the ability to connect human resource investments to desired
skills and resources.
For a conscious process-oriented approach to KM, the organisation needs to consider the
appointment of a chief knowledge officer, or an equivalent, and knowledge managers. The
CKO should be a member of the top management team. This will signal to employees that
knowledge is a crucial organisational resource, and that the Department views knowledge and
its management as critical to its success. The role of the CKO is significant for both
operational and symbolic reasons. The CKO will be responsible for the self-evaluation stage,
the design of the knowledge architecture, and championing the implementation of the KM
strategies. Government, like many other organisations, face a huge backlog in building
professional capabilities such as knowledge management specialists.
There are a variety of tools that can be utilised for this stage, such as the Knowledge
Management Diagnostic (Bukowitz and Williams, 1999), and Arthur Andersen's Knowledge
Management Assessment Tool. The organisation could also adapt existing tools or use a
refined version of the diagnostic questionnaire used for this research report (focusing on the
primary factors generated by the factor analysis).
Defining knowledge goals
Defining knowledge goals is the starting point of KM. Knowledge goals can only be fully
effective if they are embedded in the organisation context. Knowledge goals exist at three
levels: (a) normative, (b) strategic, and, (c) operational (Probst, Raub, and Romhardt, (1998).
These three levels should, ideally, complement each other, jointly contributing to the
achievement of company goals.
Normative knowledge goals pertain to the general vision of organisation policy and all aspects
of culture. These goals should achieve the following:
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Knowledge–aware or knowledge-friendly organisational culture.
Conditions for knowledge–oriented strategic and operational goals.
A culture in which knowledge is valued as a resource.
A common language is built and understood.
An environment that fosters collaboration, knowledge sharing, continual learning and
improvement.
Leadership, commitment and conviction from top management through overt support
of, and engagement with, the value of knowledge to the organisation.
A culture of trust in which mistakes is tolerated, thus encouraging a spirit of
innovation and openness among employees.
Build systems that recognise and reward appropriately (e.g., performance management
systems, incentives, awards, profiling of achievements). These must be linked to
knowledge goals, and to behaviours that promote the creation, sharing and retention of
knowledge.
The successful implementation of KM at the strategic and operational levels is dependent on
actualising the above.
Strategic knowledge goals are then set for strategic programme aimed at realising the vision.
These goals should:
Identify the kinds of expertise that will be needed in the future. This will assist in
sustaining the organisation's knowledge assets, especially in times of rationalisation or
downsizing.
Establish the organisations core competencies and capabilities. They should
emphasise which competencies should be developed, preserved, and which are
obsolete.
Operational knowledge goals help to ensure that programmes are implemented through daily
activities. Operational goals should:
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Translate normative and strategic goals into concrete, practicable objectives.
Ensure that KM is implemented at the operational level.
Invest and optimise the infrastructure for KM.
Choosing Knowledge Management Initiatives
The corporate strategy team must identify the requisite knowledge goals, objectives, and
resources, and the KM processes that will result in the greatest value to the organisation. The
areas such as business processes, functions, product or service categories that are important to
the organisation's strategic objectives become the areas that are important to the KM strategy.
Based on the results from this research, KM initiatives that both collect information and
connect people are proposed.
Connect KM Processes and Systems
Communities of Practice
"Tacit knowledge is the real gold in knowledge management and communities of practice are
the key to unlocking this hidden treasure," says Richard McDermott (2000). Knowledge
communities or community of practice, developed in the organisational learning movement,
suggest that knowledge flows best through informal networks of people who form to advance
a discipline or practice specialty, or have common interests or problems. These communities
are designed and maintained for an organisational purpose and they can be inter- or intra-
organisational. Botkin and Seeley (2001) believe strongly that communities of practice are a
key element in a holistic approach to KM.
The essential attribute of communities is that they exchange and share knowledge
interactively, often in non-routine, personal, and unstructured ways, as an interdependent
network (Earl, 2001; Grover and Davenport, 2001). An important feature of these
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communities is that they bring together knowledge and knowers. Communities of practice are
one of the most effective means of delivering tacit knowledge to the point of need. Tacit
knowledge is only really accessible in social interactions between people through a process
Nonaka and Takeuchi (1995) call socialisation. Researchers have estimated that only 20
percent of knowledge in an organisation is ever captured and made explicit; that leaves 80
percent in the minds of organisational members (Botkin and Seeley, 2001).
A valuable KM initiative for the PGWC would be to support the building of communities of
practice across departments. The DEAAT , by incorporating these communities will add
value to the organisation, while enriching community members and increasing the potential of
its knowledge resources. Attention should be given to four challenges in developing
communities of practice (McDermott, 2000; Botkin and Seeley, 2001):
(a) Management challenge:
To communicate to staff that the organisation and management sincerely values
sharing.
Form communities around topics at the heart of the business where leveraging
knowledge will have a significant impact.
Encouragement and time for staff to participate; make participation part of people's
jobs.
(b) Community challenge
To create real value for community members.
Involve thought leaders who are well-connected key players with specialised
knowledge.
Maintain personal contact amongst members.
(c) Technical challenge
Design the social side of collaborative technology.
Easy access to connect and contribute to the community.
Use software that integrates with people's daily work.
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(d) Personal challenge
Openness to new ideas and maintaining a desire for developing the community's
practice.
Thinking together to solve problems through brainstorming and sharing half-baked
ideas.
A recommended reference for more details on management's role, the community life cycle,
roles for community start-up and operation, is Botkin and Seeley's (2001) paper titled "The
Knowledge Management Manifesto." Useful tools that facilitate community life can be
accessed from the following web sites: CommuniSpace (www.communispace.com), and
eRoom (www.eroom.com).
Electronic Directory
"We need to make our expertise available to everyone in the organisation," says Andy
Michuda, CEO of Teltech (in Bukowitz and Williams, 1999: 46). It is a goal on many
executive wish lists these days. One of the most straightforward ways to accomplish this is to
create an electronic directory or Yellow Pages that direct members of the organisation to
people who can help them with specific problems or issues. It lists members of an
organisation with their education and business backgrounds that can be sorted by areas of
expertise. Often they are compiled from the HR department records, and are usually available
via the organisation's intranet. KM consultant Carol Gorelick states: "This is a simple first
step in sharing individual expertise across an organisation,"(Gorelick and Crawford, 2001: 2).
This system facilitates contact and knowledge transfer between people with expertise and
those who seek their knowledge.
Creating a Personal Intranet Home Page
Personal Intranet home pages allow individuals, on a voluntary basis, to list their own
background, experiences and interests. Personal pages usually have an e-mail link to the
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individual and allow links to his or her work product or service. It allows the right people to
connect with each other to help solve unique problems. Because each individual creates
them, they often uncover unexpected expertise. Members of the organisation do not require
any technical expertise to complete a personal page. These home pages can then be searched
in a variety of ways - both structured and unstructured, and can be linked to other web content
in the usual way.
For a knowledge management system to be successful, ownership needs to reside with the
individuals concerned. This is their personal alternative prospectus - how they want to be
known rather than how the organisation knows them. As such, it complements existing
people systems rather than replaces them. It helps build a living, breathing three-dimensional
representation of a person - far broader than a set of work histories or training records.
The transfer of knowledge is all about people and relationships rather than projects and
resources - hence an environment to support knowledge management needs to respect people
and provide ways for them to key into relationships with others. This will foster the principal
factors, derived from this research, of building interpersonal relationships and valuing the
diversity of ideas.
Collect KM Processes and Systems
Knowledge Repositories
Due to the sheer volume of documents and the necessity to keep records accessible over a
long period of time, the challenges for government's application of KM systems are workflow
and collaborative computing. Workflow is essential for the expedient routing of documents
and collaborative computing is necessary for various people sharing these documents.
Increasingly government agencies are investing in sophisticated documentation management
systems, as case studies in government agencies in the USA and the Netherlands,
(Zimmermann, 1999) illustrate that improving documentation management can improve KM.
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The Department should be looking to streamline and speed its workflow and collaborative
computing capabilities, processes and systems in the advent of its e-government thrust. There
is urgency for the DEAAT to integrate its legacy database systems. This must take
cognisance of the Cape Online objective of electronic service delivery, based on "life events"
rather than functional or Departmental service delivery.
In many organisations, one of the most common KM initiatives is to implement some form of
knowledge repository. The objective is to capture knowledge for later and broader access by
others within the organisation. Common repository technologies, in the form of relational
databases, include Domino, SQL, Oracle, and Informix, and transfer tools such as Lotus
Notes, Web-based Intranets, and Microsoft Exchanges, supplemented by search engines,
document management tools, and other tools, allow for editing and access.
The repository should contain a specific type of knowledge for a particular business function
or process, such as:
Best practice knowledge: documents that describe the best and current accepted
process for various activities in an organisation.
Lessons learnt in projects, product development, and service delivery.
Intelligence for strategy and planning purposes
Best practices can provide templates, such as project plans, checklists, and document formats,
which can be downloaded for reuse, including links (e.g., e-mail) to the author of the best
practice.
Organisations are also constructing an internal portals so that employees can access multiple,
different repositories. Repositories can also provide pointers to experts within the
organisation on key knowledge topics, knowledge yellow pages, personal home pages, and
knowledge assets.
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It should be noted that there are caveats to IT applications, such as creating repositories, and
other connect and collect systems. In the light of our findings in the DEAAT, serious
consideration is required prior to adopting such initiatives, especially, at the expense of the
social and cultural dimensions of KM. Grover and Davenport (2001: 10), observed in a study
of 31 knowledge management projects in 1997, that by far the most common objective
involves "developing new applications of information technology to support the capture,
storage, retrieval, and distribution of explicit knowledge." This trend is evident in other KM
projects, thus, most organisations have not taken a conscious people and process oriented
approach to KM. This approach to KM can deliver much value as it enables members access
to explicit knowledge, however, the missing element is context. Botkin and Seeley (2001:17),
notes that "context gives knowledge assets its richness, detailing background information, …
context is part of the 80 percent of the knowledge that never gets captured in a database."
This underscores the immense value to the DEAAT to build and support communities of
practice.
Creating a Knowledge Asset
A knowledge asset is a way of capturing and codifying knowledge and lessons from past
experience about key areas of an organisation. Knowledge assets provide a central place
where individuals and teams across the organisation can pool their knowledge for local and
global gain. Focusing on knowledge assets would develop the right behaviours and skills
necessary for KM to flourish and expand to a group-wide capability. The context and
histories that make up knowledge assets provide a common framework to facilitate re-use of
knowledge.
In the case of the DEAAT, the audience for the knowledge asset should be internal staff
members, and other government departments. The knowledge asset would be the physical
output and an on-going artefact of a larger knowledge management initiative. Knowledge
assets should be organic and grow in knowledge as the organisation grows. Knowledge assets
can contain:
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Guidelines or checklists, representing the current understanding of best practice.
Illustrations from past history or experience. This can be stories or quotes to make the
guidelines come alive.
Names and contact details of the people who hold the experience.
Artefacts and records of relevance, such as project plans, examples of solutions,
photographs, video clips, etc.
References such as websites and internal related documents (handbooks).
Refer to Appendix 17 for a guideline for creating knowledge assets (Gorelick, 2001).
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12 CONCLUSION
The findings of this research indicate that there is no common, explicit or accepted
description of knowledge or KM in the Department. Its strategic objectives are not explicitly
linked to any knowledge management objectives. The first principal factor from the data
analysis highlighted the theme of organisational culture and interpersonal relationships. The
overall diagnostic score indicated a moderate level of readiness for knowledge management.
The key inhibitors of knowledge management – bureaucratic structures and procedures,
command and control management style – highlights the legacy of the Taylorian structure,
systems and ethos. This machine model has persistently stymied creativity, initiative,
innovation, and sharing – which are fundamental elements to knowledge management.
Thus, there is a significant gap between the actual knowledge management processes of the
DEAAT, and the optimal state for a government that would be considered at the cutting-edge
in the knowledge economy.
The research findings underscore the need for non-hierarchical work environments that
promote learning, valuing informal and experiential cognitive processes. A crucial area for
attention is to create flexible and connected workspaces that support access to information for
the workforce. This demands the mental liberation from the oppressive silo mentality of
functional and hierarchical barriers, not to mention the redesign of the physical workplace,
and the integration of the current databases to create a single KM portal.
To many management thinkers, knowledge management seems an obvious imperative in the
knowledge economy. However, it is the next step that is the challenge, namely what can be
done to improve the creation, sharing and use of knowledge. The proposed framework for
knowledge management provides a robust conceptual foundation with potential KM
initiatives that the DEAAT could consider as pilots.
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48. Seeley, C. and Dietrick, B. (2000), “Crafting a knowledge management strategy, Part 3”,
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RESEARCH REPORT MBA 2001
An Assessment of the Readiness for Knowledge Management in the Western Cape Department of Economic Affairs, Agriculture and Tourism (DEAAT)
94
49. Snowden, D. (1999), “The Principles and Practice of Knowledge Disclosure,” Knowledge IQ
Management, Vol. 1, No. 3, pp. 40-45.
50. Spender, J. C. (1996) "Organizational Knowledge, Learning, and Memory: Three Concepts in
Search of a Theory," Journal of Organizational Change Management, Vol. 9, No. 3, pp. 63-
78.
51. Stewart, T. (2001), “Intellectual Capital: Ten Years Later, How Far We've Come,” Fortune
(Asia), Vol. 143, No. 11, pp. 106 –107.
52. Skyrme, D.J. (1999), “Knowledge Networking: Creating the Collaborative Enterprise,”
Oxford: Butterworth-Heinemann.
53. Yu, D. and Hartman, C. (2000), " Washington's Knowledge Management Pioneer,"
Knowledge Management Review, Vol. 3, No. 1, pp. 14-18.
54. Wegner, T. (2000), "Research Methodology," Cape Town: UCT GSB.
55. Zimmermann, K.A. (1999), ' Knowledge Management in Government,' in J. Liebowitz (ed.),
Knowledge Management Handbook, Florida: CRC Press, pp. 16-1 - 16-10.
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APPENDIX 16 FACTORS EMERGING FROM THE ANLAYSIS OF THE KNOWLEDGE MANAGEMENT PROCESSES 5 Principal Factors were extracted from the data for the questions related to CREATION of knowledge. The Factor Loadings (Eigenvalues) are provided in Appendix 12 The importance factors decrease from F1 to F5
Scores for the Individual Branches
Factor Variable (Question Numbers)
Emergent Theme around the questions
Average score
for the DEAAT
bp pm ca tr
F1 2,4,5 Mentorship and engaging in repositories of knowledge
3 3 3 3 4
F2 13,14,15 management involvement in identifying knowledge 3 3 2 3 3
F3 1 culture and team work 3 3 3 3 3 F4 10 mindshift towards
regarding people as assets 4 4 4 4 4
F5 8,9 access to knowledge 3 3 3 4 4 3 Principal Factors were extracted from the data for the questions related to SHARING of knowledge. The Factor Loadings (Eigenvalues) are provided in Appendix 13 The importance factors decrease from F1 to F3
Scores for the Individual Branches
Factor Variable (Question Numbers)
Emergent Theme around the questions
Average score
for the DEAAT
bp pm ca tr
F1 16,24 interpersonal exchange and value of diversity of ideas 3 3 3 3 3
F2 25,28 management responsibility to remove barriers 3 3 2 3 3
F3 23,30 support for teamwork and synergy 3 3 3 3 3
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4 Principal Factors were extracted from the data for the questions related to APPLICATION of knowledge. The Factor Loadings (Eigenvalues) are provided in Appendix 14 The importance factors decrease from F1 to F4
Scores for the Individual Branches
Factor Variable (Question Numbers)
Emergent Theme around the questions
Average score
for the DEAAT
bp pm ca tr
F1 33,43 value of individual contributions, teamwork 3 4 3 3 3
F2 32,35,36 allowance for creativity of thought, environment 3 3 2 3 3
F3 37,38 flexibility, promotes the generation of ideas 3 3 2 3 3
F4 31 no hierarchical barriers 3 3 3 3 4 4 Principal Factors were extracted from the data for the questions related to RETENTION of knowledge. The Factor Loadings (Eigenvalues) are provided in Appendix 15 The importance factors decrease from F1 to F4
Scores for the Individual Branches
Factor Variable (Question Numbers)
Emergent Theme around the questions
Average score for
the DEAAT
bp pm ca tr
F1 53,56,57 recognises the importance of tacit knowledge 3 2 2 3 3
F2 47,48,60 access to tools that facilitate retention of knowledge 3 3 4 3 4
F3 58 focus on core competencies 3 3 2 3 3 F4 51,55 easy retrieval of information 3 3 2 3 3
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Eigenvalues (stats_new.sta)Extraction: Principal components
% total Cumul. Cumul.Eigenval Variance Eigenval %
1 5.347815 35.6521 5.347815 35.65212 1.90559 12.70394 7.253406 48.356043 1.370348 9.135651 8.623754 57.491694 1.259219 8.394797 9.882973 65.88649
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Retention
Factor Loadings (Varimax normalized) (stats_new.sta)Extraction: Principal components(Marked loadings are > .700000)
Factor Factor Factor Factor1 2 3 4
Q46 0.651754 0.161141 0.010476 0.41447Q47 0.260531 0.850509 -0.036473 0.007513Q48 0.465948 0.78202 -0.111293 0.074307Q49 0.625979 0.385103 0.072199 0.253044Q50 0.654717 0.180853 0.453885 0.240561Q51 0.437167 -0.012971 -0.119894 0.706198Q52 0.053263 0.567134 -0.375198 0.264271Q53 0.731799 0.076279 -0.158835 -0.217143Q54 0.678539 0.00043 -0.251828 0.162918Q55 -0.043043 0.208868 0.072618 0.843722Q56 0.813516 -0.016934 0.115601 0.131646Q57 0.738757 0.298935 0.082669 0.016457Q58 0.164784 0.163019 -0.733695 0.108763Q59 0.296007 0.276403 0.522472 0.220887Q60 -0.123237 0.788102 0.220831 0.10281Expl.Var 4.059554 2.726881 1.354366 1.742172Prp.Totl 0.270637 0.181792 0.090291 0.116145
% total Cumul. Cumul.Eigenval Variance Eigenval %
1 5.347815 35.6521 5.347815 35.65212 1.90559 12.70394 7.253406 48.356043 1.370348 9.135651 8.623754 57.491694 1.259219 8.394797 9.882973 65.88649
APPENDIX 15
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Eigenvalues (stats_new.sta)Extraction: Principal components
% total Cumul. Cumul.Eigenval Variance Eigenval %
1 6.047365 40.31577 6.047365 40.315772 1.484209 9.89473 7.531575 50.21053 1.181599 7.877329 8.713174 58.087834 1.099179 7.327863 9.812354 65.41569
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Factor Loadings (Varimax normalized) (stats_new.sta)Extraction: Principal components(Marked loadings are > .700000)
Factor Factor Factor Factor1 2 3 4
Q31 -0.103541 0.206551 -0.08282 0.776399Q32 0.335728 0.743967 -0.000746 0.1777Q33 0.820505 0.217741 0.110784 -0.205806Q34 0.699101 0.472559 0.165726 0.027147Q35 0.15991 0.709408 0.138826 0.191995Q36 0.184371 0.764239 0.280851 0.048365Q37 -0.038995 0.444712 0.739797 0.225195Q38 0.234821 0.314613 0.700695 -0.229721Q39 0.613941 0.047485 0.315439 0.317666Q40 0.454453 0.355893 0.191042 0.316344Q41 0.50934 0.13502 0.231575 0.452252Q42 0.367099 0.155964 0.47476 0.570541Q43 0.749751 0.121109 0.378934 0.120138Q44 0.65299 0.224072 0.010236 0.00838Q45 0.388922 -0.068705 0.693241 0.115224Expl.Var 3.519053 2.492011 2.222324 1.578966Prp.Totl 0.234604 0.166134 0.148155 0.105264
% total Cumul. Cumul.Eigenval Variance Eigenval %
1 6.047365 40.31577 6.047365 40.315772 1.484209 9.89473 7.531575 50.21053 1.181599 7.877329 8.713174 58.087834 1.099179 7.327863 9.812354 65.41569
APPENDIX 14
Application
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Eigenvalues (stats_new.sta)Extraction: Principal components
% total Cumul. Cumul.Eigenval Variance Eigenval %
1 6.35054 42.33694 6.35054 42.336942 1.436129 9.574196 7.78667 51.911133 1.156032 7.706878 8.942702 59.61801
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Sharing
Factor Loadings (Varimax normalized) (stats_new.sta)Extraction: Principal components(Marked loadings are > .700000)
Factor Factor Factor1 2 3
Q16 0.75247 0.263293 0.032712Q17 0.461446 0.466407 0.379972Q18 0.694876 0.306164 0.22115Q19 0.679925 0.204789 0.344935Q20 0.524584 -0.089164 0.522911Q21 0.637519 0.278198 0.141064Q22 0.535064 0.421569 0.208524Q23 0.214844 0.222456 0.823069Q24 0.70431 -0.083479 0.227856Q25 0.343482 0.724506 -0.10437Q26 0.138519 0.400321 0.356195Q27 0.121951 0.623522 0.531578Q28 0.085181 0.806619 0.166343Q29 0.138508 0.567745 0.423646Q30 0.29983 0.201929 0.776635Expl.Var 3.502795 2.829742 2.610165Prp.Totl 0.23352 0.188649 0.174011
Eigenvalues (stats_new.sta)Extraction: Principal components
% total Cumul. Cumul.Eigenval Variance Eigenval %
1 6.35054 42.33694 6.35054 42.336942 1.436129 9.574196 7.78667 51.911133 1.156032 7.706878 8.942702 59.61801
APPENDIX 13
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Eigenvalues (stats_new.sta)Extraction: Principal components
% total Cumul. Cumul.Eigenval Variance Eigenval %
1 4.69873 31.32487 4.69873 31.324872 1.895396 12.63597 6.594126 43.960843 1.266575 8.443834 7.860701 52.404684 1.053876 7.025841 8.914578 59.430525 1.023944 6.82629 9.938521 66.25681
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Creation
Factor Loadings (Varimax normalized) (stats_new.sta)Extraction: Principal components(Marked loadings are > .700000)
Factor Factor Factor Factor Factor1 2 3 4 5
Q1 0.350086 0.0857 -0.759235 0.120023 0.021808Q2 0.837569 0.030982 -0.183635 -0.063362 0.107159Q3 0.358949 0.431375 0.481853 0.298476 -0.194043Q4 0.809249 0.148565 0.099227 -0.05233 0.180428Q5 0.813581 0.005395 -0.087117 0.031455 0.239746Q6 0.481513 0.150406 0.133153 0.379677 0.185111Q7 0.370312 0.148384 0.509294 0.121331 0.416232Q8 0.182876 0.10055 0.118426 0.003541 0.829566Q9 0.265371 0.251549 -0.114698 -0.022775 0.709013Q10 0.225313 0.266407 -0.022356 -0.734934 0.153154Q11 0.422011 0.278608 -0.232868 0.026817 0.356296Q12 0.340602 0.300104 -0.178873 0.586704 0.362924Q13 0.222587 0.715623 -0.11823 -0.019957 0.163488Q14 0.11313 0.805683 0.033421 -0.141266 0.079358Q15 -0.243547 0.721821 0.191839 0.155484 0.343314Expl.Var 3.209103 2.255443 1.302687 1.200242 1.971046Prp.Totl 0.21394 0.150363 0.086846 0.080016 0.131403
% total Cumul. Cumul.Eigenval Variance Eigenval %
1 4.69873 31.32487 4.69873 31.324872 1.895396 12.63597 6.594126 43.960843 1.266575 8.443834 7.860701 52.404684 1.053876 7.025841 8.914578 59.430525 1.023944 6.82629 9.938521 66.25681
APPENDIX 12
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APPENDIX 11 FACTORS EMERGING FROM THE FACTOR ANLAYSIS 16 Principal Factors were extracted from the data. The Factor Loadings (Eigenvalues) are provided in Appendix 9 The importance of the factors decrease from F1 to F16 Factor Variable
(Question Numbers)
Emergent Theme around the questions
Average score
DEAAT bp pm ca tr
F1 33,44,43 organisational culture:
interpersonal relationships; socialisation
3 3 3 3 3
F2 4,5,2 Knowledge specialists,
Updated repositories, People focused technology training
3 3 3 3 4
F3 47,48 information and systems management 3 3 4 3 3
F4 50 people management:
treating them as assets rather than costs
3 3 2 3 3
F5 13,15,58 management of core
processes and measurement of knowledge needs
3 3 2 3 3
F6 60 accessibility to a PC 4 4 4 4 4
F7 16 application of new skills from outside 3 4 2 3 4
F8 59 retention of valuable tacit knowledge 3 3 2 3 3
F9 23 support for mutual learning 3 3 3 3 3 F10 3 knowledge champion 3 3 3 3 4
F11 24 disagreement = opportunity to learn 3 3 3 3 3
F12 28 knowledge behaviour built into appraisal 3 3 1 3 3
F13 11 leadership recognition of the importance of KM 3 3 2 3 3
F14 40 creative (playful) problem-
solving environment
3 3 2 3 3
F15 53 documentation of tacit knowledge 2 2 2 3 3
F16 7 availability of information management systems 4 3 3 4 4
bp = Business Promotion and Tourism ca = Corporate Affairs pm = Property Management and Works tr = Transport and Infrastructure
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FACTORS USED FOR THE COMPARISON OF RESPONSES 10 The 16 Principal Factors were extracted from the data were used to assess the scores for the categorised responses, i.e., according to Years of Service (four levels) and Designation (three levels).
Years of Service Designation Factor
Emergent Theme around
the questions
Ave score
for the DEAAT
<3
4-10
11-15
>15
SenMgt
SenTec Ad
Gen Ad Oth
F1 organisational culture:
interpersonal relationships; socialisation
3 3 3 2 3 3 3 3
F2
Knowledge specialists, Updated repositories,
People focused technology training
3 3 3 3 4 4 3 3
F3 information and systems management 3 3 3 4 3 3 3 3
F4 people management:
treating them as assets rather than costs
3 3 2 2 3 3 3 3
F5
management of core processes and
measurement of knowledge needs
3 3 3 3 3 3 3 3
F6 accessibility to a PC 4 4 4 4 4 4 4 4
F7 application of new skills from outside 3 3 4 3 4 4 3 3
F8 retention of valuable tacit knowledge 3 3 2 3 3 3 3 3
F9 support for mutual learning 3 3 2 3 3 3 3 3 F10 knowledge champion 3 3 3 4 4 4 3 3
F11 disagreement = opportunity to learn 3 3 2 3 3 3 3 3
F12 knowledge behaviour built into appraisal 3 3 3 2 3 2 3 3
F13 leadership recognition of the importance of KM 3 3 3 2 3 3 3 3
F14 creative (playful) problem-
solving environment
3 3 2 3 3 2 3 3
F15 documentation of tacit knowledge 2 2 2 2 3 2 2 3
F16 availability of information management systems 4 4 4 4 4 3 4 4
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Summary Frequency Table (stats_new.sta)Table: BRANCH(5) x Q58(5)
Q58 Q58 Q58 Q58 Q58 Rowv.low low moderate high v.high Totals
Bus. Prom &Tourism 0 2 4 3 1 10Prop.Mgt & Works 3 3 4 3 1 14Trans. & Infrastruc 1 4 11 9 1 26KEEG 0 0 0 1 0 1Corp. Affairs 1 1 8 6 1 17All Grps 5 10 27 22 4 68
Statistics: BRANCH(5) x Q58(5) (stats_new.sta)
Chi-square df pPearson Chi-square 10.45489 df=16 p=.84181M-L Chi-square 10.42624 df=16 p=.84343
Conclusion: No evidence to suggest an association between Branch and Q58at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q58(5)
Q58 Q58 Q58 Q58 Q58 Rowv.low low moderate high v.high Totals
Sen Mgt 2 4 2 7 1 16Sen T/A 2 1 16 8 2 29Gen/Oth 1 5 9 7 1 23All Grps 5 10 27 22 4 68
Statistics: DESIG(3) x Q58(5) (stats_new.sta)
Chi-square df pPearson Chi-square 11.04325 df=8 p=.19928M-L Chi-square 12.68134 df=8 p=.12331
Conclusion: No evidence to suggest an association between Designation and Q58at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q58(5)
Q58 Q58 Q58 Q58 Q58 Rowv.low low moderate high v.high Totals
< 3 yrs 5 5 13 17 1 414-10 yrs 0 0 3 1 0 411-15 yr 0 2 4 0 1 7> 15 yrs 0 3 7 4 2 16All Grps 5 10 27 22 4 68
Statistics: EXP(4) x Q58(5) (stats_new.sta)
Chi-square df p
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Pearson Chi-square 14.41117 df=12 p=.27524M-L Chi-square 18.42538 df=12 p=.10339
Conclusion: No evidence to suggest an association between Years of Service and Q58at the 95% confidence level
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Summary Frequency Table (stats_new.sta)Table: BRANCH(5) x Q15(5)
Q15 Q15 Q15 Q15 Q15 Rowv. low low moderate high v. high Totals
Bus. Prom &Tourism 0 5 4 0 0 9Prop.Mgt & Works 1 9 3 0 1 14Trans. & Infrastruc 0 7 12 6 1 26KEEG 0 0 1 0 0 1Corp. Affairs 0 3 8 5 1 17All Grps 1 24 28 11 3 67
Statistics: BRANCH(5) x Q15(5) (stats_new.sta)
Chi-square df pPearson Chi-square 20.03625 df=16 p=.21862M-L Chi-square 23.40467 df=16 p=.10336
Conclusion: No evidence to suggest an association between Branch and Q15at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q15(5)
Q15 Q15 Q15 Q15 Q15 Rowv. low low moderate high v. high Totals
Sen Mgt 1 9 5 0 0 15Sen T/A 0 9 8 10 2 29Gen/Oth 0 6 15 1 1 23All Grps 1 24 28 11 3 67
Statistics: DESIG(3) x Q15(5) (stats_new.sta)
Chi-square df pPearson Chi-square 22.70535 df=8 p=.00377M-L Chi-square 24.18845 df=8 p=.00213
Conclusion: No evidence to suggest an association between Designation and Q15at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q15(5)
Q15 Q15 Q15 Q15 Q15 Rowv. low low moderate high v. high Totals
< 3 yrs 1 18 13 7 1 404-10 yrs 0 1 3 0 0 411-15 yr 0 2 3 0 2 7> 15 yrs 0 3 9 4 0 16All Grps 1 24 28 11 3 67
Statistics: EXP(4) x Q15(5) (stats_new.sta)
Chi-square df p
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Pearson Chi-square 18.7076 df=12 p=.09585M-L Chi-square 16.71252 df=12 p=.16076
Conclusion: No evidence to suggest an association between Years of Service and Q15at the 95% confidence level
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Summary Frequency Table (stats_new.sta)Table: BRANCH(5) x Q13(5)
Q13 Q13 Q13 Q13 Q13 Rowv. low low moderate high v. high Totals
Bus. Prom &Tourism 1 4 3 2 0 10Prop.Mgt & Works 1 5 6 2 1 15Trans. & Infrastruc 1 5 14 6 1 27KEEG 0 0 0 0 1 1Corp. Affairs 0 3 8 6 0 17All Grps 3 17 31 16 3 70
Statistics: BRANCH(5) x Q13(5) (stats_new.sta)
Chi-square df pPearson Chi-square 30.30886 df=16 p=.01648M-L Chi-square 15.72468 df=16 p=.47235
Conclusion: No evidence to suggest an association between Branch and Q13at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q13(5)
Q13 Q13 Q13 Q13 Q13 Rowv. low low moderate high v. high Totals
Sen Mgt 1 4 7 4 0 16Sen T/A 1 8 14 6 2 31Gen/Oth 1 5 10 6 1 23All Grps 3 17 31 16 3 70
Statistics: DESIG(3) x Q13(5) (stats_new.sta)
Chi-square df pPearson Chi-square 1.658319 df=8 p=.98976M-L Chi-square 2.292926 df=8 p=.97069
Conclusion: Possible association between Designation and Q13 but p Value is highat the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q13(5)
Q13 Q13 Q13 Q13 Q13 Rowv. low low moderate high v. high Totals
< 3 yrs 3 11 20 6 1 414-10 yrs 0 1 1 2 1 511-15 yr 0 2 2 3 1 8> 15 yrs 0 3 8 5 0 16All Grps 3 17 31 16 3 70
Statistics: EXP(4) x Q13(5) (stats_new.sta)
Chi-square df pPearson Chi-square 12.36708 df=12 p=.41668M-L Chi-square 12.58783 df=12 p=.39971
Conclusion: No evidence to suggest an association between Years of Service and Q13
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at the 95% confidence level
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Summary Frequency Table (stats_new.sta)Table: BRANCH(5) x Q50(5)
Q50 Q50 Q50 Q50 Q50 Rowv. low low moderate high v.high Totals
Bus. Prom &Tourism 2 1 4 3 0 10Prop.Mgt & Works 3 6 5 2 0 16Trans. & Infrastruc 6 7 5 8 1 27KEEG 1 0 0 0 0 1Corp. Affairs 2 3 5 6 1 17All Grps 14 17 19 19 2 71
Statistics: BRANCH(5) x Q50(5) (stats_new.sta)
Chi-square df pPearson Chi-square 11.75775 df=16 p=.76047M-L Chi-square 11.93217 df=16 p=.74863
Conclusion: No evidence to suggest an association between Branch and Q50at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q50(5)
Q50 Q50 Q50 Q50 Q50 Rowv. low low moderate high v.high Totals
Sen Mgt 2 3 4 6 0 15Sen T/A 9 7 5 9 1 31Gen/Oth 3 7 10 4 1 25All Grps 14 17 19 19 2 71
Statistics: DESIG(3) x Q50(5) (stats_new.sta)
Chi-square df pPearson Chi-square 8.358614 df=8 p=.39926M-L Chi-square 8.804638 df=8 p=.35905
Conclusion: No evidence to suggest an association between Designation and Q50at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q50(5)
Q50 Q50 Q50 Q50 Q50 Rowv. low low moderate high v.high Totals
< 3 yrs 7 8 11 13 2 414-10 yrs 2 1 2 0 0 511-15 yr 2 2 4 1 0 9> 15 yrs 3 6 2 5 0 16All Grps 14 17 19 19 2 71
Statistics: EXP(4) x Q50(5) (stats_new.sta)
Chi-square df p
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Pearson Chi-square 9.548412 df=12 p=.65551M-L Chi-square 11.5168 df=12 p=.48523
Conclusion: No evidence to suggest an association between Years of Service and Q50at the 95% confidence level
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Summary Frequency Table (stats_new.sta)Table: BRANCH(5) x Q48(5)
Q48 Q48 Q48 Q48 Q48 Rowv. low low moderate high v. high Totals
Bus. Prom &Tourism 1 4 3 2 0 10Prop.Mgt & Works 1 1 3 11 0 16Trans. & Infrastruc 2 2 8 13 2 27KEEG 1 0 0 0 0 1Corp. Affairs 1 2 5 8 0 16All Grps 6 9 19 34 2 70
Statistics: BRANCH(5) x Q48(5) (stats_new.sta)
Chi-square df pPearson Chi-square 24.62558 df=16 p=.07673M-L Chi-square 18.02736 df=16 p=.32232
Conclusion: No evidence to suggest an association between Branch and Q48at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q48(5)
Q48 Q48 Q48 Q48 Q48 Rowv. low low moderate high v. high Totals
Sen Mgt 1 1 5 9 0 16Sen T/A 3 4 9 14 1 31Gen/Oth 2 4 5 11 1 23All Grps 6 9 19 34 2 70
Statistics: DESIG(3) x Q48(5) (stats_new.sta)
Chi-square df pPearson Chi-square 2.365812 df=8 p=.96769M-L Chi-square 2.902729 df=8 p=.94031
Conclusion: The p value is highat the 95% confidence level Chi sq crit = 2.73264
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q48(5)
Q48 Q48 Q48 Q48 Q48 Rowv. low low moderate high v. high Totals
< 3 yrs 4 5 11 20 1 414-10 yrs 1 1 2 1 0 511-15 yr 0 0 4 4 0 8> 15 yrs 1 3 2 9 1 16All Grps 6 9 19 34 2 70
Statistics: EXP(4) x Q48(5) (stats_new.sta)
Chi-square df p
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Pearson Chi-square 8.477653 df=12 p=.74677M-L Chi-square 10.31852 df=12 p=.58804
Conclusion: No evidence to suggest an association between Years of Service and Q48at the 95% confidence level
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Summary Frequency Table (stats_new.sta)Table: BRANCH(5) x Q47(5)
Q47 Q47 Q47 Q47 Q47 Rowv.low low moderate high v.high Totals
Bus. Prom &Tourism 1 5 2 2 0 10Prop.Mgt & Works 2 0 1 12 2 17Trans. & Infrastruc 1 3 5 16 2 27KEEG 1 0 0 0 0 1Corp. Affairs 2 2 6 7 0 17All Grps 7 10 14 37 4 72
Statistics: BRANCH(5) x Q47(5) (stats_new.sta)
Chi-square df pPearson Chi-square 32.86502 df=16 p=.00771M-L Chi-square 28.9612 df=16 p=.02421
Conclusion: No evidence to suggest an association between Branch and Q47at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q47(5)
Q47 Q47 Q47 Q47 Q47 Rowv.low low moderate high v.high Totals
Sen Mgt 1 1 3 11 0 16Sen T/A 3 6 4 16 2 31Gen/Oth 3 3 7 10 2 25All Grps 7 10 14 37 4 72
Statistics: DESIG(3) x Q47(5) (stats_new.sta)
Chi-square df pPearson Chi-square 6.134743 df=8 p=.63214M-L Chi-square 7.054074 df=8 p=.53081Conclusion: No evidence to suggest an association between Designation and Q47
at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q47(5)
Q47 Q47 Q47 Q47 Q47 Rowv.low low moderate high v.high Totals
< 3 yrs 4 6 9 22 1 424-10 yrs 1 2 0 2 0 511-15 yr 0 0 3 4 2 9> 15 yrs 2 2 2 9 1 16All Grps 7 10 14 37 4 72
Statistics: EXP(4) x Q47(5) (stats_new.sta)
Chi-square df pPearson Chi-square 13.47116 df=12 p=.33576
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M-L Chi-square 14.03707 df=12 p=.29837
Conclusion: No evidence to suggest an association between Years of Experience and Q47at the 95% confidence level
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Summary Frequency Table (stats_new.sta)Table: BRANCH(5) x Q5(5)
Q5 Q5 Q5 Q5 Q5 Rowv. low low moderate high v. high Totals
Bus. Prom &Tourism 2 2 4 1 1 10Prop.Mgt & Works 2 3 4 6 1 16Trans. & Infrastruc 1 0 8 14 2 25KEEG 0 0 0 0 1 1Corp. Affairs 0 5 6 5 1 17All Grps 5 10 22 26 6 69
Statistics: BRANCH(5) x Q5(5) (stats_new.sta)
Chi-square df pPearson Chi-square 26.96628 df=16 p=.04188M-L Chi-square 25.40342 df=16 p=.06305
Conclusion: No evidence to suggest an association between Branch and Q5at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q5(5)
Q5 Q5 Q5 Q5 Q5 Rowv. low low moderate high v. high Totals
Sen Mgt 1 1 6 6 2 16Sen T/A 4 6 6 11 3 30Gen/Oth 0 3 10 9 1 23All Grps 5 10 22 26 6 69
Statistics: DESIG(3) x Q5(5) (stats_new.sta)
Chi-square df pPearson Chi-square 7.936722 df=8 p=.43968M-L Chi-square 9.611385 df=8 p=.29338
Conclusion: No evidence to suggest an association between Designation and Q5at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q5(5)
Q5 Q5 Q5 Q5 Q5 Rowv. low low moderate high v. high Totals
< 3 yrs 3 8 16 12 3 424-10 yrs 1 1 1 1 1 511-15 yr 1 1 2 3 0 7> 15 yrs 0 0 3 10 2 15All Grps 5 10 22 26 6 69
Statistics: EXP(4) x Q5(5) (stats_new.sta)
Chi-square df p
COPYRIG
HT U
CT
Pearson Chi-square 13.55177 df=12 p=.33026M-L Chi-square 16.28498 df=12 p=.17855
Conclusion: No evidence to suggest an association between Years of Service and Q5at the 95% confidence level
COPYRIG
HT U
CT
Summary Frequency Table (stats_new.sta)Table: BRANCH(5) x Q4(5)
Q4 Q4 Q4 Q4 Q4 Rowv. low low moderate high v. high Totals
Bus. Prom &Tourism 2 2 2 4 0 10Prop.Mgt & Works 0 5 2 8 0 15Trans. & Infrastruc 1 3 6 12 5 27KEEG 0 0 0 0 1 1Corp. Affairs 0 3 3 10 1 17All Grps 3 13 13 34 7 70
Statistics: BRANCH(5) x Q4(5) (stats_new.sta)
Chi-square df pPearson Chi-square 24.60824 df=16 p=.07706M-L Chi-square 20.79351 df=16 p=.18661
Conclusion: No evidence to suggest an association between Branch and Q4at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q4(5)
Q4 Q4 Q4 Q4 Q4 Rowv. low low moderate high v. high Totals
Sen Mgt 1 2 1 10 2 16Sen T/A 2 7 8 11 3 31Gen/Oth 0 4 4 13 2 23All Grps 3 13 13 34 7 70
Statistics: DESIG(3) x Q4(5) (stats_new.sta)
Chi-square df pPearson Chi-square 6.445142 df=8 p=.59750M-L Chi-square 7.792882 df=8 p=.45397
Conclusion: No evidence to suggest an association between Designation and Q4at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q4(5)
Q4 Q4 Q4 Q4 Q4 Rowv. low low moderate high v. high Totals
< 3 yrs 2 9 8 17 4 404-10 yrs 1 1 0 2 1 511-15 yr 0 2 2 5 0 9> 15 yrs 0 1 3 10 2 16All Grps 3 13 13 34 7 70
Statistics: EXP(4) x Q4(5) (stats_new.sta)
Chi-square df p
COPYRIG
HT U
CT
Pearson Chi-square 9.356524 df=12 p=.67221M-L Chi-square 11.14883 df=12 p=.51621
Conclusion: No evidence to suggest an association between Years of Service and Q4at the 95% confidence level
COPYRIG
HT U
CT
Summary Frequency Table (stats_new.sta)Table: BRANCH(5) x Q2(5)
Q2 Q2 Q2 Q2 Q2 Rowv. low low moderate high v high Totals
Bus. Prom &Tourism 1 2 3 2 2 10Prop.Mgt & Works 1 2 5 8 1 17Trans. & Infrastruc 2 2 5 15 3 27KEEG 0 0 0 1 0 1Corp. Affairs 0 4 5 8 0 17All Grps 4 10 18 34 6 72
Statistics: BRANCH(5) x Q2(5) (stats_new.sta)
Chi-square df pPearson Chi-square 11.07344 df=16 p=.80492M-L Chi-square 13.64146 df=16 p=.62540
Conclusion: No evidence to suggest an association between Branch and Q2at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q2(5)
Q2 Q2 Q2 Q2 Q2 Rowv. low low moderate high v high Totals
Sen Mgt 0 0 3 10 3 16Sen T/A 4 6 8 11 2 31Gen/Oth 0 4 7 13 1 25All Grps 4 10 18 34 6 72
Statistics: DESIG(3) x Q2(5) (stats_new.sta)
Chi-square df pPearson Chi-square 13.20231 df=8 p=.10509M-L Chi-square 16.42266 df=8 p=.03673
Conclusion: No evidence to suggest an association between Designation and Q2at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q2(5)
Q2 Q2 Q2 Q2 Q2 Rowv. low low moderate high v high Totals
< 3 yrs 3 6 12 16 5 424-10 yrs 1 1 1 2 0 511-15 yr 0 1 1 7 0 9> 15 yrs 0 2 4 9 1 16All Grps 4 10 18 34 6 72
Statistics: EXP(4) x Q2(5) (stats_new.sta)
Chi-square df pPearson Chi-square 9.37184 df=12 p=.67088
COPYRIG
HT U
CT
M-L Chi-square 10.99543 df=12 p=.52932
Conclusion: No evidence to suggest an association between Years of Service and Q2at the 95% confidence level
COPYRIG
HT U
CT
Summary Frequency Table (stats_new.sta)Table: BRANCH(5) x Q44(5)
Q44 Q44 Q44 Q44 Q44 Rowv. low low moderate high v.high Totals
Bus. Prom &Tourism 0 1 6 2 1 10Prop.Mgt & Works 4 5 5 2 1 17Trans. & Infrastruc 10 11 4 1 1 27KEEG 0 1 0 0 0 1Corp. Affairs 3 5 3 5 1 17All Grps 17 23 18 10 4 72
Statistics: BRANCH(5) x Q44(5) (stats_new.sta)
Chi-square df pPearson Chi-square 21.37798 df=16 p=.16446M-L Chi-square 22.99036 df=16 p=.11402
Conclusion: No evidence to suggest an association between Branch and Q44at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q44(5)
Q44 Q44 Q44 Q44 Q44 Rowv. low low moderate high v.high Totals
Sen Mgt 2 3 9 2 0 16Sen T/A 9 11 5 5 1 31Gen/Oth 6 9 4 3 3 25All Grps 17 23 18 10 4 72
Statistics: DESIG(3) x Q44(5) (stats_new.sta)
Chi-square df pPearson Chi-square 13.64124 df=8 p=.09162M-L Chi-square 13.01291 df=8 p=.11142
Conclusion: No evidence to suggest an association between Designation and Q44at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q44(5)
Q44 Q44 Q44 Q44 Q44 Rowv. low low moderate high v.high Totals
< 3 yrs 7 13 13 8 1 424-10 yrs 2 1 1 0 1 511-15 yr 2 4 0 2 1 9> 15 yrs 6 5 4 0 1 16All Grps 17 23 18 10 4 72
Statistics: EXP(4) x Q44(5) (stats_new.sta)
Chi-square df p
COPYRIG
HT U
CT
Pearson Chi-square 13.6403 df=12 p=.32428M-L Chi-square 17.73613 df=12 p=.12396
Conclusion: No evidence to suggest an association between Years of Services and Q44at the 95% confidence level
COPYRIG
HT U
CT
Summary Frequency Table (stats_new.sta)Table: BRANCH(5) x Q43(5)
Q43 Q43 Q43 Q43 Q43 Rowv.low low moderate high v high Totals
Bus. Prom &Tourism 0 1 3 5 1 10Prop.Mgt & Works 2 2 7 4 1 16Trans. & Infrastruc 2 4 9 11 1 27KEEG 1 0 0 0 0 1Corp. Affairs 0 2 8 5 2 17All Grps 5 9 27 25 5 71
Statistics: BRANCH(5) x Q43(5) (stats_new.sta)
Chi-square df pPearson Chi-square 19.37298 df=16 p=.24982M-L Chi-square 13.20541 df=16 p=.65768
Conclusion: No evidence to suggest an association between Branch and Q43at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q43(5)
Q43 Q43 Q43 Q43 Q43 Rowv.low low moderate high v high Totals
Sen Mgt 0 0 5 9 2 16Sen T/A 3 7 11 9 1 31Gen/Oth 2 2 11 7 2 24All Grps 5 9 27 25 5 71
Statistics: DESIG(3) x Q43(5) (stats_new.sta)
Chi-square df pPearson Chi-square 10.87536 df=8 p=.20888M-L Chi-square 13.3355 df=8 p=.10083
Conclusion: No evidence to suggest an association between Designation and Q43at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q43(5)
Q43 Q43 Q43 Q43 Q43 Rowv.low low moderate high v high Totals
< 3 yrs 2 5 14 15 5 414-10 yrs 1 1 2 1 0 511-15 yr 2 1 5 1 0 9> 15 yrs 0 2 6 8 0 16All Grps 5 9 27 25 5 71
Statistics: EXP(4) x Q43(5) (stats_new.sta)
Chi-square df p
COPYRIG
HT U
CT
Pearson Chi-square 13.15659 df=12 p=.35778M-L Chi-square 15.04337 df=12 p=.23909
Conclusion: No evidence to suggest an association between Years of Service and Q43at the 95% confidence level
COPYRIG
HT U
CT
Q33 Q33 Q33 Q33 Q33 Rowv. low low moderate high v. high Totals
Bus. Prom &Tourism 0 0 6 3 1 10Prop.Mgt & Works 2 7 4 3 1 17Trans. & Infrastruc 3 7 12 5 0 27KEEG 1 0 0 0 0 1Corp. Affairs 2 6 5 3 1 17All Grps 8 20 27 14 3 72
Statistics: BRANCH(5) x Q33(5) (stats_new.sta)
Chi-square df pPearson Chi-square 19.08161 df=16 p=.26448M-L Chi-square 19.91015 df=16 p=.22432
Conclusion: No evidence to suggest an association between Branch and Q33at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: DESIG(3) x Q33(5)
Q33 Q33 Q33 Q33 Q33 Rowv. low low moderate high v. high Totals
Sen Mgt 0 2 7 5 2 16Sen T/A 4 9 11 6 1 31Gen/Oth 4 9 9 3 0 25All Grps 8 20 27 14 3 72
Statistics: DESIG(3) x Q33(5) (stats_new.sta)
Chi-square df pPearson Chi-square 10.22457 df=8 p=.24963M-L Chi-square 12.26488 df=8 p=.13979
Conclusion: No evidence to suggest an association between Designation and Q33at the 95% confidence level
Summary Frequency Table (stats_new.sta)Table: EXP(4) x Q33(5)
Q33 Q33 Q33 Q33 Q33 Rowv. low low moderate high v. high Totals
< 3 yrs 3 11 17 8 3 424-10 yrs 1 1 1 2 0 511-15 yr 2 3 3 1 0 9> 15 yrs 2 5 6 3 0 16All Grps 8 20 27 14 3 72
Statistics: EXP(4) x Q33(5) (stats_new.sta)Chi-square df p
Pearson Chi-square 6.402369 df=12 p=.89445M-L Chi-square 7.173229 df=12 p=.84595
Conclusion: No evidence to suggest an association between Years of Service and Q33at the 95% confidence level
APPENDIX 10
SCREE PLOT
APPENDIX 9
COPYRIG
HT U
CT
Number of Eigenvalues
Eige
nval
ue
0
2
4
6
8
10
12
14
16
18
20
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
The Eigenvalues flattens rapidly out after Factor 5, implying that these factors are of less significance. Factors 1 to 5 have high loadings implying that they form key themes that emerge from the data. Factor One, has the highest Eigenvalue and therefore explains most of the variation of the responses.
COPYRIG
HT U
CT
Eigenvalues (stats_new.sta)Extraction: Principal componentsFACTOR % total Cumul. Cumul.
Eigenval Variance Eigenval %1 17.57858 29.29764 17.57858 29.297642 4.687864 7.813106 22.26645 37.110753 3.652006 6.086676 25.91845 43.197424 2.916289 4.860482 28.83474 48.05795 2.55878 4.264633 31.39352 52.322546 2.287734 3.812891 33.68126 56.135437 2.134513 3.557522 35.81577 59.692958 1.933894 3.223157 37.74966 62.916119 1.691864 2.819773 39.44153 65.7358810 1.635665 2.726108 41.07719 68.4619911 1.495907 2.493179 42.5731 70.9551712 1.351261 2.252101 43.92436 73.2072713 1.296664 2.161106 45.22102 75.3683714 1.222465 2.037442 46.44349 77.4058215 1.09673 1.827883 47.54022 79.233716 1.032248 1.720413 48.57247 80.95411
COPYRIG
HT U
CT
Factor Loadings (Varimax normalized) (stats_new.sta)Extraction: Principal components(Marked loadings are > .700000)Question Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor(or variable) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16Q1 0.331656 0.079629 0.165318 0.389311 -0.213267 0.441972 0.106879 0.16124 0.224075 -0.098724 0.113762 0.113549 -0.026848 0.251927 -0.095785 -0.157978Q2 0.333134 0.70283 0.369515 0.104374 -0.056162 0.067 0.049133 0.010554 0.188845 0.032669 0.064128 0.112881 -0.013606 -0.181281 0.079736 -0.01282Q3 -0.018712 0.128888 0.01015 0.086644 0.110303 0.031938 0.06487 -0.015216 -0.026947 0.853058 -0.04495 0.185612 -0.032539 0.072271 0.014701 0.076112Q4 0.008281 0.782011 0.117818 0.052071 0.068973 -0.005818 0.086783 0.082755 0.086741 0.11315 0.267464 0.204011 0.056356 0.039561 -0.040683 0.029813Q5 0.029975 0.805879 0.086215 0.035717 0.05165 0.14307 0.012654 0.064083 0.310294 -0.029287 -0.149109 0.080793 0.120718 0.087859 0.018724 0.151367Q6 -0.04218 0.540939 0.259826 0.101596 0.044447 -0.132902 -0.120076 0.023917 -0.1137 0.256714 -0.060265 0.053277 -0.003948 0.532215 -0.180975 -0.025472Q7 -0.050258 0.296133 0.089825 0.166931 0.166587 -0.024038 -0.053575 -0.092862 0.024364 0.405748 0.122834 0.190479 0.152258 -0.02077 0.11522 0.567387Q8 -0.115372 0.388901 0.054453 0.090244 0.180431 -0.012789 0.060778 0.328527 0.190438 0.029715 0.037565 0.458358 0.329991 0.100165 0.33868 0.0302Q9 0.061364 0.22811 0.344648 0.152049 0.045159 0.023841 -0.291128 0.32069 0.202015 0.032206 0.171957 0.25477 0.235762 0.342769 0.230804 0.111804Q10 0.224956 0.273901 -0.140751 0.100485 -0.083392 0.506576 0.129967 0.258614 0.206027 0.254438 0.030775 -0.344875 0.073154 -0.035749 -0.058882 0.281834Q11 0.186284 0.170283 0.275989 0.240056 0.085866 0.099023 -0.013832 0.058116 0.067329 0.011309 0.115136 0.205108 0.675845 -0.028994 -0.145849 0.047036Q12 -0.007646 0.251479 0.019792 0.353652 0.047744 0.042319 -0.24318 0.015503 0.088457 0.237111 -0.087797 0.653686 0.102219 0.03929 0.00737 0.055469Q13 -0.06161 0.216397 0.165807 0.065751 0.726422 0.259801 0.028415 -0.118382 0.21405 0.118106 0.103673 0.21429 -0.038031 -0.103316 -0.020213 -0.084668Q14 -0.048619 -0.107249 0.292817 0.014921 0.430052 -0.041461 0.053591 0.109664 0.284516 0.47364 0.192442 -0.005259 0.289346 0.132755 -0.168072 0.05141Q15 -0.209983 -0.111262 -0.082752 0.168043 0.704401 0.046974 -0.031708 0.104916 0.027675 0.184846 0.202843 0.177718 -0.002795 0.355194 0.011141 0.112069Q16 0.165572 0.155198 0.115083 0.09439 0.161181 0.057938 0.769109 -0.066536 0.198426 0.118115 0.166465 0.114566 -0.035684 0.103914 0.031508 -0.055203Q17 0.482477 0.146946 -0.123946 0.048055 0.054089 -0.028218 -0.013675 0.156037 0.633806 0.140664 0.207752 0.206595 0.034501 0.065569 0.099972 -0.119525Q18 0.308225 0.119633 0.116064 -0.040643 -0.033455 -0.035372 0.103015 -0.159265 0.67529 0.035042 0.190925 0.115029 0.185105 0.240709 0.293158 -0.007604Q19 0.366814 0.246862 -0.188484 0.450629 -0.040896 0.093366 0.194542 0.105627 0.236264 0.324484 0.211246 0.098326 0.216464 0.226996 0.199324 -0.020868Q20 0.462511 -0.098605 0.115073 -0.128129 0.327613 0.1596 0.014512 0.095646 0.280434 0.282785 0.274129 0.01752 -0.163954 -0.124075 0.169737 0.360215Q21 0.238887 0.320849 -0.054181 0.176067 0.083796 -0.216995 0.087455 0.085611 0.197965 -0.294346 0.615436 0.174487 0.1011 0.040085 -0.006995 -0.307964Q22 0.257517 0.258528 -0.064692 0.134017 -0.081603 0.176072 0.339066 -0.177934 0.655786 -0.06596 0.016832 0.246719 0.077777 -0.031351 0.054775 0.035244Q23 0.074199 0.181724 0.077188 0.32625 0.123827 0.116525 -0.047552 0.239581 0.703881 -0.12852 0.034068 0.123723 0.014202 0.066589 0.089344 0.174594Q24 0.027081 0.058415 0.116192 0.068546 0.18635 0.156293 0.098443 0.086577 0.137245 0.101616 0.762216 0.018872 0.069392 0.029015 0.078159 0.144398Q25 0.149576 0.149121 0.154558 0.116061 0.250085 -0.244052 0.016979 -0.051698 0.071883 -0.020518 0.117372 0.650202 0.149247 0.328502 -0.075281 0.165242Q26 0.391909 0.065176 0.170369 0.092732 -0.114017 0.145162 0.195402 -0.127972 0.283568 -0.203456 0.059114 0.325641 0.173938 0.053681 -0.391202 0.330447Q27 0.023056 0.090289 0.090426 0.099785 0.136423 -0.044367 0.028852 0.010956 0.677196 0.179514 0.030961 0.498526 -0.029519 0.001235 -0.179749 -0.009575Q28 0.055998 -0.001327 0.023268 0.115764 0.054461 0.11262 0.068061 0.026842 0.27574 0.175996 0.046194 0.81344 0.034674 -0.056746 -0.011997 -0.172451Q29 0.168151 0.080942 0.199377 0.465129 0.200869 -0.010328 0.03059 0.354804 0.508281 -0.021277 0.060964 0.170807 0.091964 0.007995 -0.117879 -0.044559Q30 0.284329 0.086314 0.129993 0.493721 0.086164 0.022347 0.018323 0.132036 0.552139 0.143427 0.087107 0.068228 0.139633 -0.051574 0.039306 -0.020124
APPENDIX 8
COPYRIG
HT U
CT
Question Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor Factor(or variable) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16Q31 0.07202 0.276854 -0.108118 -0.07052 0.353519 -0.074342 -0.125707 0.174959 0.173844 0.1641 -0.437589 0.240154 0.36941 0.078764 0.151961 -0.02938Q32 0.316793 0.056194 -0.124249 0.216992 0.298594 -0.187733 -0.09923 -0.41393 0.482401 -0.248384 -0.100006 0.1554 -0.138487 0.152932 0.060182 0.118432Q33 0.725304 -0.048924 0.095662 0.206583 -0.020567 -0.021758 0.181393 0.254618 0.11525 -0.056384 -0.005294 -0.001477 -0.168675 0.190075 -0.11982 -0.026989Q34 0.598339 0.147358 0.048231 0.307968 0.302311 0.102176 0.03649 0.031742 0.231911 -0.31212 -0.013389 0.11274 -0.12668 0.221572 -0.081409 0.13532Q35 0.141329 0.138314 0.140274 0.1494 0.252026 -0.089886 0.106512 0.102988 0.165949 -0.090813 0.075789 0.547583 -0.256723 0.225837 0.17459 0.25927Q36 0.284385 0.169359 -0.005059 0.28321 0.086156 -0.086585 -0.101126 -0.047714 0.516247 -0.042443 -0.019439 0.24098 -0.148516 0.042962 0.064066 0.431943Q37 0.075681 0.234818 0.117747 0.527041 0.034528 0.20654 -0.367195 -0.211934 0.277491 0.075011 0.019952 0.264732 0.01541 0.089046 0.234353 0.167584Q38 0.214414 0.128099 0.266057 0.589669 -0.170587 0.006828 -0.016899 0.126483 0.292532 0.030899 0.012232 0.227169 -0.241129 0.257855 -0.045629 -0.089129Q39 0.526482 0.272307 0.368889 0.026647 -0.131286 0.114283 0.174101 -0.129464 0.341606 -0.036288 -0.115933 0.137738 0.2163 0.185 -0.048617 0.040211Q40 0.348043 -0.038644 -0.121447 0.121669 0.150599 0.146852 0.109418 -0.081471 0.240333 0.056565 0.018988 0.247685 -0.023048 0.675151 0.149549 -0.02071Q41 0.560196 0.199486 0.097783 0.310494 0.133022 0.369563 0.097337 -0.070596 0.212464 -0.124943 -0.12086 0.158159 0.088606 -0.152705 0.107813 -0.207159Q42 0.232666 0.307713 0.139461 0.12101 0.188231 0.360923 0.128836 -0.094024 0.168907 -0.068325 0.099267 0.452238 0.319177 0.226875 0.101521 -0.032181Q43 0.751485 0.174345 -0.031758 0.290231 -0.111344 0.083366 0.068237 0.081203 0.206129 -0.070961 0.24878 0.037886 0.077958 0.046222 0.102162 -0.039641Q44 0.769594 -0.157334 0.006442 0.144436 -0.028793 0.073637 -0.169678 -0.000974 0.073195 0.05014 0.037204 -0.054584 0.075657 0.040643 0.122608 0.079306Q45 0.319679 -0.061405 0.226965 0.477111 -0.14181 0.495336 0.005874 -0.040148 -0.000141 -0.102136 0.119706 0.153722 0.114188 -0.039638 0.047192 0.102252Q46 0.406701 0.017761 0.187971 0.616644 0.210054 -0.055539 0.106885 0.000569 0.208713 0.389567 -0.076701 0.003051 0.074638 -0.004105 0.11676 -0.074092Q47 0.026409 0.226355 0.833312 0.194707 0.201847 0.189939 0.027641 0.136359 -0.021146 0.130266 0.116485 0.026607 0.041059 0.00366 0.061075 -0.072801Q48 0.118134 0.199935 0.812858 0.295536 0.135312 0.166104 0.035412 0.089564 0.092639 -0.037296 0.032218 0.136196 0.087036 -0.009519 0.146454 0.098412Q49 0.146272 0.056235 0.456419 0.513178 -0.068597 0.058688 -0.076017 -0.078252 0.202591 -0.074518 0.01722 0.312998 0.213533 0.178338 0.032576 0.227749Q50 0.209129 0.033514 0.066986 0.833462 -0.035244 0.120137 0.041935 0.109711 -0.03631 0.041622 0.203382 0.140544 0.075008 0.075311 0.001722 0.011686Q51 0.596184 0.244322 0.013529 0.33751 0.051659 -0.157829 -0.218574 -0.043393 0.223672 0.20661 -0.036659 0.041957 0.351292 -0.083588 0.073221 -0.011386Q52 0.605125 0.184183 0.423094 -0.102738 -0.090661 0.228733 0.267599 0.06178 0.01634 0.076934 -0.10262 0.122468 0.196046 -0.091133 -0.027923 0.171466Q53 0.177931 -0.005253 0.201438 0.257081 -0.005358 -0.076566 0.092867 -0.02393 0.145763 -0.001312 0.056262 0.205364 -0.089273 0.052768 0.799058 0.080413Q54 0.020701 0.122949 0.055426 0.256911 0.156338 -0.002616 0.047194 0.002455 0.199333 0.010064 -0.021268 0.697993 0.096485 0.048482 0.206943 0.1596Q55 0.440145 0.139243 0.132101 -0.010158 0.094758 0.183564 -0.548088 0.07715 0.175084 -4.38E-05 -0.110275 0.278384 -0.038369 0.174372 -0.373176 -0.103046Q56 0.092422 -0.076936 0.021606 0.588096 0.307071 0.002874 -0.101916 0.112299 0.228773 -0.125795 -0.081984 0.337778 0.062898 0.066535 0.252088 0.227084Q57 0.083137 0.097879 0.24329 0.612318 0.01574 0.094417 0.300752 0.247113 0.209778 0.104469 -0.062696 0.2877 0.044477 -0.112562 0.20312 0.097096Q58 0.161567 0.055494 0.257722 -0.167714 0.65029 -0.224178 0.150469 -0.039693 -0.064022 -0.003706 -0.023076 0.227734 0.167284 -0.012077 0.035599 0.089406Q59 0.196631 0.117102 0.142011 0.243779 -0.017822 0.112723 -0.089113 0.825028 0.044604 -0.02396 0.072881 0.021086 0.010793 -0.018026 -0.003653 -0.035962Q60 0.0885 0.033915 0.406359 0.072796 0.144458 0.741672 -0.071015 0.112096 -0.099836 0.044373 0.062141 -0.046675 0.003799 0.045534 -0.11574 -0.032322Expl.Var 5.949641 3.734703 3.365085 5.277674 2.931253 2.324091 1.939028 1.918857 5.093725 2.346311 1.927718 4.671045 1.788504 1.865092 1.874263 1.565477Prp.Totl 0.099161 0.062245 0.056085 0.087961 0.048854 0.038735 0.032317 0.031981 0.084895 0.039105 0.032129 0.077851 0.029808 0.031085 0.031238 0.026091
COPYRIG
HT U
CT
BOX AND WHISKER PLOT
Question Number
Rat
ing
0
1
2
3
4
5
6
Q46 Q47 Q48 Q49 Q50 Q51 Q52 Q53 Q54 Q55 Q56 Q57 Q58 Q59 Q60
Min-Max25%-75%Median value
BOX AND WHISKER PLOT
Question Number
Rat
ing
0
1
2
3
4
5
6
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15
Min-Max25%-75%Median value
BOX AND WHISKER PLOT
Question Number
Rat
ing
0
1
2
3
4
5
6
Q16 Q17 Q18 Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30
Min-Max
25%-75%
Median value
BOX AND WHISKER PLOT
Question Number
Rat
ing
0
1
2
3
4
5
6
Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q39 Q40 Q41 Q42 Q43 Q44 Q45
Min-Max25%-75%Median value
KNOWLEDGE CREATION Dispersion of Scores
KNOWLEDGE SHARING Dispersion of Scores
KNOWLEDGE APPLICATION Dispersion of Scores
KNOWLEDGE RETENTION Dispersion of Scores
APPENDIX 7
COPYRIG
HT U
CT
Count Branch Designation Years of Service Q1 Q2 Q338 tr 3 3 2 430 tr 2 4 2 4 444 tr 2 4 4 4 445 tr 2 4 4 4 148 tr 2 4 4 4 349 tr 2 4 3 4 427 tr 3 4 4 331 tr 3 1 3 3 334 tr 3 1 3 4 436 tr 3 1 5 5 437 tr 3 4 2 4 439 tr 3 1 1 1 240 tr 3 1 4 1 141 tr 3 3 4 4 342 tr 3 1 4 5 443 tr 3 2 4 3 346 tr 3 1 1 4 447 tr 3 4 4 3 450 tr 3 3 3 4 452 tr 3 4 2 3 328 tr 4 4 3 4 229 tr 4 3 4 4 232 tr 4 1 3 4 333 tr 4 4 1 5 351 tr 4 4 2 4 453 tr 4 4 2 2 454 tr 4 4 3 2 3
Count 27Average 3 4 3Standard Dev 1.11 1.05 0.96Skewness -0.37 -1.13 -1.05
ALLCREATION 3SHARING 3APPLICATION 3RETENTION 3
average F1 3F2 4F3 3F4 3F5 3F6 4F7 4F8 3
COPYRIG
HT U
CT
F9 3F10 4F11 3F12 3F13 3F14 3F15 3F16 4
creation F1 4 sharingF2 3F3 3F4 4F5 4
COPYRIG
HT U
CT
Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q122 3 4 4 4 24 3 3 3 3 3 3 2 34 4 4 4 4 4 4 4 45 4 3 4 3 4 5 4 24 4 4 1 4 2 4 2 25 4 4 4 3 4 5 2 33 4 4 4 4 4 3 32 3 3 4 3 2 4 4 45 4 4 4 3 4 4 4 45 4 4 5 5 4 5 5 44 4 4 4 4 4 4 2 43 3 3 2 3 2 4 1 21 1 1 1 4 4 3 3 34 4 5 2 3 4 4 3 35 5 4 4 4 4 4 3 44 3 3 4 4 2 4 3 33 4 2 5 4 3 5 3 23 5 5 4 3 4 4 3 33 3 3 4 4 3 3 2 34 4 4 5 5 2 4 2 34 4 2 4 4 4 4 2 34 3 4 5 4 4 4 3 43 4 5 5 4 4 4 3 34 3 3 4 4 3 3 5 34 4 3 4 4 4 4 2 34 3 2 4 3 2 4 3 32 3 3 3 5 3
4 4 3 4 4 3 4 3 31.04 0.81 0.98 1.11 0.62 0.84 0.59 0.99 0.65
-0.70 -1.26 -0.34 -1.42 0.29 -0.82 0.00 0.51 -0.11
COPYRIG
HT U
CT
F1 3 applicationF1 3 retention F1 3F2 3 F2 3 F2 4F3 3 F3 3 F3 3
F4 4 F4 3
COPYRIG
HT U
CT
Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q213 3 2 3 12 3 3 3 2 2 2 2 24 4 3 4 4 4 3 4 32 2 2 4 2 3 3 2 43 3 2 4 2 2 2 1 23 3 3 4 4 5 3 4 33 3 4 4 4 4 3 4 33 4 4 3 2 3 2 4 12 4 2 3 4 4 4 4 35 4 4 5 5 4 5 4 44 4 4 4 4 4 2 4 21 2 2 1 1 1 1 1 13 3 3 4 3 3 3 3 32 4 3 4 3 4 2 2 23 4 5 5 4 3 5 4 44 3 2 4 3 4 3 4 23 4 2 4 3 4 2 3 14 4 4 4 2 3 2 3 22 3 2 3 3 3 2 2 33 4 3 4 4 5 3 4 33 3 3 4 4 4 4 4 34 3 3 3 2 3 1 2 33 4 4 4 4 4 3 4 33 3 3 5 1 3 1 3 33 4 3 4 4 4 3 4 34 4 3 4 3 4 3 3 23 3 3 4 3 3 3 3 4
3 3 3 4 3 3 3 3 30.85 0.64 0.82 0.80 1.06 0.90 1.03 1.01 0.93
-0.07 -0.67 0.39 -1.50 -0.29 -0.75 0.43 -0.84 -0.29
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q304 3 1 3 3 3 23 2 2 3 3 2 2 3 34 4 4 4 4 4 3 4 44 4 4 2 4 2 2 3 44 2 2 3 4 2 3 2 35 4 3 3 4 3 1 2 33 4 3 4 3 4 3 3 45 4 3 4 4 4 4 4 44 4 3 4 5 4 4 2 54 5 4 5 4 4 4 4 54 4 2 4 4 4 4 4 41 1 1 1 1 1 1 1 23 3 3 3 3 3 3 3 33 2 2 3 2 2 2 2 25 4 3 4 5 4 4 4 44 4 2 3 3 3 4 3 34 4 2 2 3 4 1 4 44 4 3 3 4 4 3 4 34 2 2 3 3 4 4 3 35 3 4 4 3 3 2 2 34 4 4 4 4 4 4 4 43 3 3 4 4 4 3 4 33 4 3 4 4 3 3 4 43 1 3 3 3 1 3 1 24 3 4 4 3 3 3 2 34 3 4 3 3 4 3 3 44 3 3 4 4 3 4 3 4
4 3 3 3 3 3 3 3 30.85 1.02 0.91 0.84 0.85 0.96 1.00 0.98 0.81
-1.18 -0.80 -0.36 -0.82 -0.75 -0.96 -0.70 -0.45 -0.11
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q393 2 1 1 2 2 2 2 3 2 3 2 2 2 2 3 4
4 2 4 4 2 4 3 4 42 2 3 3 2 2 2 3 44 2 3 3 2 1 2 4 43 4 4 4 5 4 3 4 44 4 3 3 3 3 3 4 44 4 3 4 4 4 4 4 44 4 4 4 2 5 4 4 44 4 4 5 4 4 4 4 44 4 2 2 4 4 4 4 44 1 1 1 1 1 1 1 23 3 3 3 3 3 3 3 33 2 3 3 2 3 2 3 44 4 3 4 4 3 3 4 43 2 2 2 3 3 2 2 44 3 2 1 1 2 3 2 44 2 2 2 3 3 2 3 33 3 3 2 2 3 4 3 34 3 2 3 3 3 2 2 44 4 2 4 4 4 3 4 43 2 4 4 4 2 3 5 44 4 3 4 3 4 4 4 43 1 1 1 3 1 1 1 44 3 3 3 3 3 2 2 33 4 2 2 2 4 2 2 43 3 3 3 2 3 2 3 4
4 3 3 3 3 3 3 3 40.58 1.01 0.91 1.13 1.01 1.06 0.92 1.05 0.53
-0.82 -0.24 -0.33 -0.20 0.24 -0.35 0.11 -0.45 -1.98
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q40 Q41 Q42 Q43 Q44 Q45 Q46 Q47 Q482 3 3 1 2 3 3 32 4 3 3 2 3 3 3 32 4 4 4 3 4 3 4 42 3 4 4 2 3 2 4 43 4 4 3 1 2 2 4 43 4 3 4 3 2 3 3 43 4 4 4 2 4 4 4 44 4 4 4 1 4 4 4 43 4 4 5 3 2 4 4 43 4 4 4 2 4 4 5 52 2 4 2 2 2 2 4 41 1 1 1 1 1 1 2 13 4 4 3 3 3 3 3 34 3 2 3 2 3 3 4 34 4 5 4 4 3 4 4 33 4 4 3 1 2 2 4 31 3 2 2 2 2 4 4 43 4 4 2 1 1 3 4 43 3 2 2 2 3 4 3 33 2 4 3 1 2 2 2 22 4 2 4 5 3 4 4 42 3 3 3 1 4 3 4 44 4 4 4 2 4 4 4 41 3 4 3 1 3 2 5 53 2 4 4 1 2 2 2 23 3 2 3 1 1 3 1 13 4 2 4 2 2 3 4 3
3 3 3 3 2 3 3 4 30.88 0.84 1.00 1.00 1.02 0.98 0.88 0.93 1.01
-0.37 -1.25 -0.75 -0.65 1.26 -0.05 -0.37 -1.09 -0.94
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q49 Q50 Q51 Q52 Q53 Q54 Q55 Q56 Q573 1 3 3 1 1 3 2 33 3 3 4 2 2 3 2 34 4 4 4 3 4 4 4 43 4 2 4 2 2 2 2 33 2 1 5 2 2 3 2 42 1 4 4 4 4 3 3 34 4 4 4 3 3 4 4 44 4 4 4 4 4 4 4 44 4 4 5 4 3 4 3 45 5 3 5 3 4 4 3 44 2 2 4 2 2 4 2 21 1 1 2 1 1 3 1 13 3 3 4 3 4 3 3 33 2 2 3 1 2 4 1 24 4 4 4 3 4 4 3 32 3 1 4 3 3 2 3 32 1 4 4 2 2 2 2 43 2 2 4 1 4 4 2 43 2 4 4 4 4 3 2 42 1 3 4 3 4 2 1 24 4 4 4 4 4 4 4 43 3 3 4 2 4 5 2 34 4 4 4 4 4 4 4 43 2 2 5 5 3 1 1 32 1 3 4 3 4 2 2 23 3 2 3 2 3 2 2 33 2 2 3 2 2 3 2 3
3 3 3 4 3 3 3 2 30.89 1.24 1.05 0.68 1.10 1.04 0.96 0.97 0.83
-0.23 0.04 -0.41 -0.72 0.09 -0.61 -0.40 0.30 -0.80
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q58 Q59 Q60 1 4
3 3 42 4 52 4 44 2 54 1 43 4 54 3 44 4 44 3 54 2 41 4 44 3 43 3 43 4 43 3 53 2 43 4 53 2 23 3 24 4 22 4 54 4 55 2 43 3 23 1 22 4 4
3 3 40.90 1.04 1.04
-0.41 -0.67 -0.97
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Count Branch Designation Years of Service Q1 Q2 Q3 Q460 cf 4 1 3 3 2 361 cf 3 4 3 4 3 462 cf 4 1 4 4 4 563 cf 4 3 3 4 464 cf 3 1 4 2 4 265 cf 3 1 2 2 2 266 cf 3 2 2 2 2 267 cf 4 1 5 3 4 468 cf 4 1 2 4 4 469 cf 4 4 4 3 2 370 cf 4 3 4 4 4 471 cf 4 1 3 4 4 472 cf 4 1 4 3 4 473 cf 4 1 3 4 4 474 cf 2 1 3 3 3 375 cf 3 1 4 4 4 476 cf 3 1 2 2 4 4
Count 17Average 3 3 3 4Standard Dev 0.90 0.83 0.89 0.87Skewness 0.05 -0.50 -0.89 -0.74
ALLCREATION 3SHARING 3APPLICATION 3RETENTION 3
average F1 3F2 3F3 3F4 3F5 3F6 4F7 3F8 3F9 3F10 3F11 3F12 3F13 3F14 3F15 3F16 4
COPYRIG
HT U
CT
creation F1 3 sharing F1F2 3 F2F3 3 F3F4 4F5 4
COPYRIG
HT U
CT
Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q133 4 5 4 3 3 3 2 25 4 5 5 5 5 5 4 44 4 4 4 5 5 3 4 42 2 4 4 3 4 2 3 32 4 4 4 5 4 2 3 22 2 2 3 3 3 1 3 32 3 3 2 1 2 1 3 33 3 4 4 4 5 4 3 44 4 4 4 4 4 2 4 34 2 4 3 2 5 2 3 24 2 4 5 5 5 4 4 43 3 4 4 4 2 4 4 43 3 2 3 2 3 3 3 33 3 4 4 3 5 2 2 34 3 4 3 3 4 3 3 33 4 3 3 3 5 4 4 42 3 3 3 3 4 2 3 3
3 3 4 4 3 4 3 3 30.93 0.78 0.85 0.79 1.18 1.06 1.15 0.66 0.730.28 -0.22 -0.74 -0.12 -0.15 -0.71 0.24 -0.29 -0.29
COPYRIG
HT U
CT
3 applicationF1 3 retention F1 33 F2 3 F2 33 F3 3 F3 3
F4 3 F4 3
COPYRIG
HT U
CT
Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q223 3 2 2 3 2 3 3 34 4 3 3 3 3 4 3 43 3 5 3 5 4 5 3 43 3 4 3 4 3 4 2 44 4 4 3 4 4 4 2 23 4 3 4 4 1 2 4 42 3 4 1 2 1 1 2 34 3 4 4 5 4 3 3 52 2 2 2 2 2 3 1 22 2 3 2 3 2 3 2 44 5 3 3 3 3 4 2 43 3 3 4 4 2 4 3 43 2 3 2 3 1 1 1 42 3 4 4 4 5 3 3 44 3 4 2 3 2 2 2 34 4 4 4 4 4 4 3 43 4 3 2 2 2 2 3 2
3 3 3 3 3 3 3 2 40.78 0.83 0.80 0.95 0.94 1.22 1.14 0.80 0.87-0.22 0.24 -0.10 -0.10 0.03 0.31 -0.41 -0.31 -0.74
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30 Q312 3 5 4 1 1 3 3 34 4 3 4 3 2 4 4 44 4 3 4 4 2 0 5 33 3 3 2 3 2 3 2 44 4 4 2 2 2 4 4 43 4 3 3 4 4 2 3 33 1 3 3 2 1 2 3 23 3 3 4 4 4 5 5 42 3 4 3 3 3 2 2 34 3 2 4 2 3 2 2 45 3 3 3 3 3 4 4 34 3 4 2 4 4 4 4 43 1 3 2 2 2 2 3 43 4 2 3 2 2 3 4 32 4 4 4 3 2 3 4 34 4 4 4 3 4 4 4 32 3 4 2 2 2 4 2 2
3 3 3 3 3 3 3 3 30.90 0.95 0.79 0.86 0.90 1.01 1.22 1.00 0.690.05 -1.38 0.12 -0.24 -0.05 0.33 -0.69 -0.15 -0.46
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q39 Q403 2 2 3 4 4 3 3 33 4 5 2 4 4 3 4 32 3 2 3 4 4 2 4 43 2 2 3 3 3 2 3 32 5 2 4 2 2 4 4 43 2 1 2 2 2 2 2 35 3 4 3 3 2 3 3 23 4 4 3 3 2 3 5 43 2 1 3 3 2 2 4 33 1 2 3 4 4 2 3 23 2 3 4 3 4 2 3 34 3 4 4 4 4 3 4 31 1 1 1 1 3 3 4 34 4 4 2 3 5 4 4 53 2 2 2 2 3 2 4 24 3 4 4 4 4 4 5 43 3 3 3 2 2 2 2 2
3 3 3 3 3 3 3 4 30.90 1.10 1.26 0.86 0.94 1.01 0.77 0.87 0.86-0.13 0.35 0.21 -0.43 -0.52 0.01 0.59 -0.31 0.43
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q41 Q42 Q43 Q44 Q45 Q46 Q47 Q48 Q493 3 3 3 2 2 3 3 44 5 4 3 4 3 4 4 45 5 5 2 3 3 3 4 44 3 3 4 4 3 4 4 22 2 4 4 2 4 4 4 33 3 3 1 1 1 1 1 12 2 2 1 2 3 2 3 35 5 4 5 5 5 4 4 44 3 2 2 2 2 3 3 43 2 3 3 4 2 1 2 33 3 3 2 3 3 3 4 34 4 4 4 2 4 4 4 42 3 3 1 4 2 3 15 4 5 4 3 4 3 3 34 3 3 2 3 3 4 3 34 4 4 4 4 4 4 4 43 2 3 2 3 3 2 2 2
4 3 3 3 3 3 3 3 31.01 1.05 0.87 1.25 1.06 1.00 1.03 0.93 1.03-0.09 0.44 0.31 0.07 0.00 0.00 -0.91 -1.13 -0.91
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q50 Q51 Q52 Q53 Q54 Q55 Q56 Q57 Q583 4 3 3 3 3 3 3 44 4 5 1 3 4 4 4 55 4 2 2 3 4 4 3 43 3 4 2 3 2 3 34 2 4 5 2 2 3 4 41 1 1 2 2 3 3 2 33 1 2 2 3 1 3 2 33 5 5 3 4 3 3 4 41 2 5 2 3 3 2 2 32 1 4 2 3 3 2 3 33 3 3 4 3 3 3 3 32 3 4 4 4 4 4 4 44 1 4 1 1 3 1 1 14 4 4 5 3 4 2 3 22 2 4 2 3 3 2 3 44 4 4 2 3 3 3 4 34 2 3 2 2 2 3 4 3
3 3 4 3 3 3 3 3 31.14 1.31 1.12 1.23 0.73 0.82 0.83 0.90 0.92-0.41 0.05 -0.85 0.92 -0.81 -0.84 -0.24 -0.71 -0.67
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q59 Q601 35 45 32 25 31 21 13 42 32 44 54 41 43 53 52 54 4
3 41.47 1.180.21 -0.63
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Count Br Des Yrs of Serv. Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q181 bp 1 1 = < 3 yrs 3 3 4 1 1 3 3 2 1 5 3 3 1 3 2 3 3 2
25 pm 1 1 4 4 4 4 5 5 4 3 3 4 3 3 3 2 2 4 3 36 bp 2 1 4 4 4 4 3 3 4 4 2 4 3 4 3 3 2 4 4 3
10 pm 2 1 2 4 3 4 3 3 4 3 4 4 2 3 3 4 2 4 2 317 pm 2 3 = 11-15 yrs 4 4 2 2 4 4 4 2 4 4 2 4 4 3 2 2 2 420 pm 2 1 1 3 3 4 2 3 4 4 4 5 3 2 3 4 3 2 3 224 pm 2 1 5 5 1 2 3 1 1 2 2 5 1 1 2 3 1 4 4 430 tr 2 4= > 15 yrs 2 4 4 4 3 3 3 3 3 3 2 3 2 3 3 3 2 244 tr 2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 445 tr 2 4 4 4 1 5 4 3 4 3 4 5 4 2 2 2 2 4 2 348 tr 2 4 4 4 3 4 4 4 1 4 2 4 2 2 3 3 2 4 2 249 tr 2 4 3 4 4 5 4 4 4 3 4 5 2 3 3 3 3 4 4 557 bp 2 1 3 4 4 4 3 3 3 3 3 4 3 3 2 3 2 4 4 458 bp 2 1 3 5 3 4 3 3 4 4 3 5 3 4 4 4 3 3 459 bp 2 1 3 5 1 4 5 3 2 3 2 4 3 2 4 3 2 4 4 474 cf 2 1 3 3 3 3 4 3 4 3 3 4 3 3 3 4 3 4 2 34 bp 3 1 3 3 2 3 4 4 4 4 3 4 5 3 3 3 3 4 4 48 bp 3 2 = 4-10 yrs 3 1 3 1 1 2 4 1 2 4 2 1 2 3 3 4 2 3
15 pm 3 1 4 4 4 4 4 3 4 3 4 4 4 4 3 4 2 4 2 416 pm 3 1 4 4 5 4 4 3 4 2 2 2 2 3 2 2 2 1 1 318 pm 3 1 3 3 2 4 2 4 2 3 4 3 5 2 2 4 2 2 3 419 pm 3 2 3 4 4 4 4 4 4 4 5 4 4 4 4 3 421 pm 3 1 3 2 3 3 4 4 4 4 5 3 3 3 4 2 2 3 323 pm 3 3 1 2 4 3 1 3 4 2 1 4 1 1 5 5 5 3 1 126 pm 3 1 2 3 3 2 2 2 3 3 3 4 4 3 3 3 3 2 4 327 tr 3 4 4 3 3 4 4 4 4 4 3 3 3 3 4 4 4 431 tr 3 1 3 3 3 2 3 3 4 3 2 4 4 4 3 4 4 3 2 334 tr 3 1 3 4 4 5 4 4 4 3 4 4 4 4 2 4 2 3 4 436 tr 3 1 5 5 4 5 4 4 5 5 4 5 5 4 5 4 4 5 5 437 tr 3 4 2 4 4 4 4 4 4 4 4 4 2 4 4 4 4 4 4 439 tr 3 1 1 1 2 3 3 3 2 3 2 4 1 2 1 2 2 1 1 140 tr 3 1 4 1 1 1 1 1 1 4 4 3 3 3 3 3 3 4 3 341 tr 3 3 4 4 3 4 4 5 2 3 4 4 3 3 2 4 3 4 3 442 tr 3 1 4 5 4 5 5 4 4 4 4 4 3 4 3 4 5 5 4 343 tr 3 2 4 3 3 4 3 3 4 4 2 4 3 3 4 3 2 4 3 446 tr 3 1 1 4 4 3 4 2 5 4 3 5 3 2 3 4 2 4 3 447 tr 3 4 4 3 4 3 5 5 4 3 4 4 3 3 4 4 4 4 2 3
APPENDIX 6
COPYRIG
HT U
CT
Count Br Des Yrs of Serv. Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q1850 tr 3 3 3 4 4 3 3 3 4 4 3 3 2 3 2 3 2 3 3 352 tr 3 4 2 3 3 4 4 4 5 5 2 4 2 3 3 4 3 4 4 538 tr 3 3 2 4 2 3 4 4 4 2 3 3 2 55 pm 3 1 1 1 4 2 1 3 4 4 4 5 2 2 2 2 3 2 2 161 cf 3 4 3 4 3 4 5 4 5 5 5 5 5 4 4 4 4 3 3 364 cf 3 1 4 2 4 2 2 4 4 4 5 4 2 3 2 4 4 4 3 465 cf 3 1 2 2 2 2 2 2 2 3 3 3 1 3 3 3 4 3 4 466 cf 3 2 2 2 2 2 2 3 3 2 1 2 1 3 3 2 3 4 1 275 cf 3 1 4 4 4 4 3 4 3 3 3 5 4 4 4 4 4 4 4 476 cf 3 1 2 2 4 4 2 3 3 3 3 4 2 3 3 3 4 3 2 22 bp 4 1 3 3 4 3 2 3 3 2 2 4 3 3 2 3 2 3 3 25 bp 4 1 3 2 3 2 3 3 4 3 2 3 2 3 2 2 3 3 3 37 bp 4 1 2 2 3 2 2 3 3 3 2 3 2 3 3 3 3 4 2 4
22 pm 4 3 3 3 4 4 4 4 4 4 3 4 4 428 tr 4 4 3 4 2 4 4 2 4 4 4 4 2 3 3 3 3 4 4 429 tr 4 3 4 4 2 4 3 4 5 4 4 4 3 4 4 3 3 3 2 332 tr 4 1 3 4 3 3 4 5 5 4 4 4 3 3 3 4 4 4 4 433 tr 4 4 1 5 3 4 3 3 4 4 3 3 5 3 3 3 3 5 1 351 tr 4 4 2 4 4 4 4 3 4 4 4 4 2 3 3 4 3 4 4 453 tr 4 4 2 2 4 4 3 2 4 3 2 4 3 3 4 4 3 4 3 454 tr 4 4 3 2 3 2 3 3 3 5 3 3 3 3 4 3 312 pm 4 1 3 4 3 4 4 3 2 2 2 2 2 2 2 213 pm 4 1 3 3 4 2 4 3 3 4 3 5 2 2 2 3 3 14 pm 4 1 1 4 1 4 2 1 3 4 1 1 1 3 1 1 156 km 4 2 3 4 4 5 5 3 3 2 4 5 5 3 5 4 3 3 5 360 cf 4 1 3 3 2 3 3 4 5 4 3 3 3 2 2 3 3 2 2 362 cf 4 1 4 4 4 5 4 4 4 4 5 5 3 4 4 3 3 5 3 563 cf 4 3 3 4 4 2 2 4 4 3 4 2 3 3 3 3 4 3 467 cf 4 1 5 3 4 4 3 3 4 4 4 5 4 3 4 4 3 4 4 568 cf 4 1 2 4 4 4 4 4 4 4 4 4 2 4 3 2 2 2 2 269 cf 4 4 4 3 2 3 4 2 4 3 2 5 2 3 2 2 2 3 2 370 cf 4 3 4 4 4 4 4 2 4 5 5 5 4 4 4 4 5 3 3 371 cf 4 1 3 4 4 4 3 3 4 4 4 2 4 4 4 3 3 3 4 472 cf 4 1 4 3 4 4 3 3 2 3 2 3 3 3 3 3 2 3 2 373 cf 4 1 3 4 4 4 3 3 4 4 3 5 2 2 3 2 3 4 4 4
723 3 3 3 3 3 4 3 3 4 3 3 3 3 3 3 3 3
1.02 1.01 0.99 1.04 1.05 0.87 0.93 0.87 1.00 0.79 1.08 0.82 0.91 0.75 0.87 0.93 1.02 0.97-0.33 -0.69 -0.85 -0.59 -0.47 -0.19 -1.20 -0.58 -0.35 -0.64 0.35 -0.61 0.03 -0.22 0.55 -0.77 -0.16 -0.61
CountAverage
Standard DevSkewness
COPYRIG
HT U
CT
ALL3333
average F1 3F2 3F3 3F4 3F5 3F6 4F7 3F8 3F9 3F10 3F11 3F12 3F13 3F14 3F15 2F16 4
creation F1 3 sharing F1 3 application F1 3 retention F1 3F2 3 F2 3 F2 3 F2 3F3 3 F3 3 F3 3 F3 3F4 4 F4 3 F4 3F5 3
CREATIONSHARING
APPLICATIONRETENTION
COPYRIG
HT U
CT
Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30 Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q39 Q40 Q41 Q42 Q43 Q443 3 2 3 2 1 1 3 1 2 2 3 3 1 3 1 1 2 1 3 3 1 3 1 4 33 3 2 4 4 4 2 2 3 2 3 3 2 2 3 3 2 4 3 3 4 2 3 3 3 33 4 3 4 3 4 4 4 3 4 4 4 2 2 4 2 3 2 3 4 4 2 4 4 4 32 4 2 3 2 3 3 4 3 3 3 3 3 2 4 3 4 4 2 2 3 2 3 2 3 32 4 2 3 3 2 2 2 2 2 2 4 3 4 2 3 2 2 4 3 4 2 4 4 4 41 2 1 2 3 1 2 4 4 4 3 2 3 2 3 3 1 2 3 4 4 2 3 3 4 12 5 3 5 4 4 1 4 2 1 4 4 1 3 5 4 2 4 2 4 4 2 5 2 5 32 2 2 3 2 2 3 3 2 2 3 3 2 3 2 2 2 2 3 4 2 4 3 3 23 4 3 4 4 4 4 4 4 3 4 4 4 2 4 4 2 4 3 4 4 2 4 4 4 33 2 4 4 4 4 2 4 2 2 3 4 2 2 3 3 2 2 2 3 4 2 3 4 4 22 1 2 4 2 2 3 4 2 3 2 3 4 2 3 3 2 1 2 4 4 3 4 4 3 13 4 3 5 4 3 3 4 3 1 2 3 3 4 4 4 5 4 3 4 4 3 4 3 4 34 3 3 4 4 4 4 3 3 3 2 3 4 4 4 4 3 4 3 5 4 4 34 4 4 4 3 4 4 4 4 3 4 3 2 3 5 4 4 4 2 4 3 4 32 4 4 4 3 2 4 4 3 2 4 3 5 5 5 5 3 3 1 1 5 3 5 3 5 42 2 2 3 2 4 4 4 3 2 3 4 3 3 2 2 2 2 3 2 4 2 4 3 3 24 4 3 4 4 3 3 3 3 3 4 4 3 3 3 3 3 3 2 3 3 3 4 4 3 41 5 1 3 1 3 3 5 3 2 1 2 1 3 4 4 2 2 1 1 4 4 2 3 3 54 2 2 4 2 4 4 4 2 2 2 2 4 2 3 2 2 2 4 2 4 2 4 4 4 31 1 1 4 1 2 2 3 1 1 1 1 2 1 2 1 1 3 2 4 3 1 2 1 2 22 2 4 3 4 4 3 4 3 2 4 3 2 3 2 2 2 2 2 3 4 2 2 2 3 23 3 4 4 3 3 4 4 2 3 4 4 4 4 2 2 3 4 4 2 4 4 4 31 2 2 3 3 3 2 3 3 3 3 3 2 1 3 2 1 1 2 4 2 3 2 3 11 5 2 1 1 5 1 1 1 1 1 2 3 1 1 1 1 1 1 1 1 1 2 1 1 11 3 1 3 4 2 3 4 1 2 2 3 4 3 4 4 2 3 2 2 4 2 4 3 3 43 4 3 3 4 3 4 3 4 3 3 4 4 4 3 3 3 3 3 4 4 3 4 4 4 22 4 1 5 4 3 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 14 4 3 4 4 3 4 5 4 4 2 5 4 4 4 4 2 5 4 4 4 3 4 4 5 35 4 4 4 5 4 5 4 4 4 4 5 4 4 4 5 4 4 4 4 4 3 4 4 4 22 4 2 4 4 2 4 4 4 4 4 4 4 4 2 2 4 4 4 4 4 2 2 4 2 21 1 1 1 1 1 1 1 1 1 1 2 4 1 1 1 1 1 1 1 2 1 1 1 1 13 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 3 32 2 2 3 2 2 3 2 2 2 2 2 3 2 3 3 2 3 2 3 4 4 3 2 3 25 4 4 5 4 3 4 5 4 4 4 4 4 4 3 4 4 3 3 4 4 4 4 5 4 43 4 2 4 4 2 3 3 3 4 3 3 3 2 2 2 3 3 2 2 4 3 4 4 3 12 3 1 4 4 2 2 3 4 1 4 4 4 3 2 1 1 2 3 2 4 1 3 2 2 22 3 2 4 4 3 3 4 4 3 4 3 4 2 2 2 3 3 2 3 3 3 4 4 2 1
COPYRIG
HT U
CT
Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30 Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q39 Q40 Q41 Q42 Q43 Q442 2 3 4 2 2 3 3 4 4 3 3 3 3 3 2 2 3 4 3 3 3 3 2 2 23 4 3 5 3 4 4 3 3 2 2 3 4 3 2 3 3 3 2 2 4 3 2 4 3 13 1 4 3 1 3 3 3 2 3 2 1 1 2 2 2 2 3 2 3 3 1 21 1 1 3 1 1 2 2 1 2 1 4 3 2 2 2 1 1 1 3 2 4 2 2 23 4 3 4 4 4 3 4 3 2 4 4 4 3 4 5 2 4 4 3 4 3 4 5 4 34 4 2 2 4 4 4 2 2 2 4 4 4 2 5 2 4 2 2 4 4 4 2 2 4 41 2 4 4 3 4 3 3 4 4 2 3 3 3 2 1 2 2 2 2 2 3 3 3 3 11 1 2 3 3 1 3 3 2 1 2 3 2 5 3 4 3 3 2 3 3 2 2 2 2 14 4 3 4 4 4 4 4 3 4 4 4 3 4 3 4 4 4 4 4 5 4 4 4 4 42 2 3 2 2 3 4 2 2 2 4 2 2 3 3 3 3 2 2 2 2 2 3 2 3 23 3 2 3 2 2 2 3 2 2 2 4 3 2 3 2 2 2 2 3 3 2 3 2 4 32 2 3 3 3 2 2 3 2 2 2 3 3 2 3 3 2 2 3 3 3 3 3 3 3 33 3 2 4 3 2 3 3 2 3 2 2 4 4 3 3 2 2 2 3 3 2 3 2 2 24 4 3 4 4 3 3 4 3 3 4 4 4 3 3 54 4 3 4 4 4 4 4 4 4 4 4 4 4 2 4 4 4 3 4 4 2 4 2 4 51 2 3 3 3 3 4 4 4 3 4 3 3 2 4 4 4 2 3 5 4 2 3 3 3 13 4 3 3 4 3 4 4 3 3 4 4 4 4 3 4 3 4 4 4 4 4 4 4 4 21 3 3 3 1 3 3 3 1 3 1 2 3 1 1 1 3 1 1 1 4 1 3 4 3 13 4 3 4 3 4 4 3 3 3 2 3 4 3 3 3 3 3 2 2 3 3 2 4 4 13 3 2 4 3 4 3 3 4 3 3 4 3 4 2 2 2 4 2 2 4 3 3 2 3 13 3 4 4 3 3 4 4 3 4 3 4 3 3 3 3 2 3 2 3 4 3 4 2 4 24 2 4 4 3 2 4 2 3 4 3 2 2 3 3 2 2 4 4 3 22 4 3 4 4 3 4 4 4 4 3 2 2 2 2 2 2 3 4 2 3 21 3 1 1 4 2 1 4 3 1 1 4 3 1 2 1 1 1 2 1 3 2 3 1 1 12 2 1 3 1 1 4 2 2 3 3 2 4 2 1 1 3 4 3 2 3 1 5 2 1 22 3 3 3 2 3 5 4 1 1 3 3 3 3 2 2 3 4 4 3 3 3 3 3 3 34 5 3 4 4 4 3 4 4 2 0 5 3 2 3 2 3 4 4 2 4 4 5 5 5 23 4 2 4 3 3 3 2 3 2 3 2 4 3 2 2 3 3 3 2 3 3 4 3 3 44 3 3 5 3 3 3 4 4 4 5 5 4 3 4 4 3 3 2 3 5 4 5 5 4 52 3 1 2 2 3 4 3 3 3 2 2 3 3 2 1 3 3 2 2 4 3 4 3 2 22 3 2 4 4 3 2 4 2 3 2 2 4 3 1 2 3 4 4 2 3 2 3 2 3 33 4 2 4 5 3 3 3 3 3 4 4 3 3 2 3 4 3 4 2 3 3 3 3 3 22 4 3 4 4 3 4 2 4 4 4 4 4 4 3 4 4 4 4 3 4 3 4 4 4 41 1 1 4 3 1 3 2 2 2 2 3 4 1 1 1 1 1 3 3 4 3 2 3 3 15 3 3 4 3 4 2 3 2 2 3 4 3 4 4 4 2 3 5 4 4 5 5 4 5 4
3 3 2 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 3 3 3 3 21.11 1.08 0.94 0.89 1.04 1.00 0.97 0.88 0.97 1.01 1.05 0.92 0.81 1.02 1.02 1.14 0.95 1.06 1.02 1.00 0.70 0.91 0.91 1.05 1.00 1.160.27 -0.37 -0.07 -0.98 -0.59 -0.38 -0.50 -0.61 -0.27 -0.01 -0.39 -0.28 -0.68 -0.01 0.06 0.04 0.23 -0.01 0.17 -0.18 -1.15 0.21 -0.36 -0.16 -0.47 0.46
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q45 Q46 Q47 Q48 Q49 Q50 Q51 Q52 Q53 Q54 Q55 Q56 Q57 Q58 Q59 Q601 3 1 1 2 3 4 4 1 1 3 1 2 2 3 12 3 4 3 2 2 3 4 2 2 3 2 3 4 3 44 3 4 4 2 4 3 4 1 4 4 1 4 4 4 52 3 4 4 3 3 3 4 3 3 3 3 4 3 3 44 3 4 4 3 4 4 4 4 2 4 2 2 2 2 43 2 4 4 2 3 4 2 2 2 1 1 1 1 15 3 4 4 4 3 2 5 4 1 2 2 4 1 5 53 3 3 3 3 3 3 4 2 2 3 2 3 3 3 44 3 4 4 4 4 4 4 3 4 4 4 4 2 4 53 2 4 4 3 4 2 4 2 2 2 2 3 2 4 42 2 4 4 3 2 1 5 2 2 3 2 4 4 2 52 3 3 4 2 1 4 4 4 4 3 3 3 4 1 44 4 3 3 4 4 4 2 2 3 4 4 44 4 3 3 4 4 3 4 41 3 2 2 1 1 5 5 1 1 5 1 1 5 3 33 3 4 3 3 2 2 4 2 3 3 2 3 4 3 53 4 2 3 3 3 4 4 3 3 2 3 4 3 2 43 2 2 2 2 1 1 5 1 1 4 1 1 3 1 54 4 4 4 4 4 4 4 2 2 3 3 3 2 2 51 1 1 1 3 1 1 1 2 3 2 1 1 52 2 4 4 4 2 3 4 1 2 4 1 1 3 3 4 4 4 4 2 4 2 4 2 5
2 2 4 4 3 2 3 4 1 1 4 1 3 3 1 51 3 5 3 1 1 1 3 1 1 2 1 1 5 2 53 2 3 4 3 1 3 4 2 4 4 3 2 4 3 54 4 4 4 4 4 4 4 3 3 4 4 4 3 4 54 4 4 4 4 4 4 4 4 4 4 4 4 4 3 42 4 4 4 4 4 4 5 4 3 4 3 4 4 4 44 4 5 5 5 5 3 5 3 4 4 3 4 4 3 52 2 4 4 4 2 2 4 2 2 4 2 2 4 2 41 1 2 1 1 1 1 2 1 1 3 1 1 1 4 43 3 3 3 3 3 3 4 3 4 3 3 3 4 3 43 3 4 3 3 2 2 3 1 2 4 1 2 3 3 43 4 4 3 4 4 4 4 3 4 4 3 3 3 4 42 2 4 3 2 3 1 4 3 3 2 3 3 3 3 52 4 4 4 2 1 4 4 2 2 2 2 4 3 2 41 3 4 4 3 2 2 4 1 4 4 2 4 3 4 5
COPYRIG
HT U
CT
Q45 Q46 Q47 Q48 Q49 Q50 Q51 Q52 Q53 Q54 Q55 Q56 Q57 Q58 Q59 Q603 4 3 3 3 2 4 4 4 4 3 2 4 3 2 22 2 2 2 2 1 3 4 3 4 2 1 2 3 3 2 3 3 3 3 1 3 3 1 1 3 2 3 1 4
2 2 1 2 2 1 2 4 2 1 3 2 4 4 3 44 3 4 4 4 4 4 5 1 3 4 4 4 5 5 42 4 4 4 3 4 2 4 5 2 2 3 4 4 5 31 1 1 1 1 1 1 1 2 2 3 3 2 3 1 22 3 2 3 3 3 1 2 2 3 1 3 2 3 1 14 4 4 4 4 4 4 4 2 3 3 3 4 3 2 53 3 2 2 2 4 2 3 2 2 2 3 4 3 4 44 3 2 2 2 3 4 4 1 2 3 2 2 2 3 52 3 3 4 2 2 4 3 2 2 4 2 3 3 43 2 2 2 3 3 2 4 3 3 3 2 2 3 2 4 5 3 5 5
3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 24 3 4 4 3 3 3 4 2 4 5 2 3 2 4 54 4 4 4 4 4 4 4 4 4 4 4 4 4 4 53 2 5 5 3 2 2 5 5 3 1 1 3 5 2 42 2 2 2 2 1 3 4 3 4 2 2 2 3 3 21 3 1 1 3 3 2 3 2 3 2 2 3 3 1 22 3 4 3 3 2 2 3 2 2 3 2 3 2 4 42 2 4 4 2 2 2 4 2 2 2 4 2 4 4 4 3 4 1 4 1 1 3 4
1 1 4 3 2 2 3 4 2 2 1 2 2 3 3 42 4 1 1 4 1 5 3 2 1 1 4 4 1 52 2 3 3 4 3 4 3 3 3 3 3 3 4 1 33 3 3 4 4 5 4 2 2 3 4 4 3 4 5 34 3 4 4 2 3 3 4 2 3 2 3 3 2 25 5 4 4 4 3 5 5 3 4 3 3 4 4 3 42 2 3 3 4 1 2 5 2 3 3 2 2 3 2 34 2 1 2 3 2 1 4 2 3 3 2 3 3 2 43 3 3 4 3 3 3 3 4 3 3 3 3 3 4 52 4 4 4 4 2 3 4 4 4 4 4 4 4 4 44 2 3 1 4 1 4 1 1 3 1 1 1 1 43 4 3 3 3 4 4 4 5 3 4 2 3 2 3 5
3 3 3 3 3 3 3 4 2 3 3 2 3 3 3 41.08 0.91 1.09 1.01 0.95 1.15 1.15 0.84 1.14 1.03 0.95 0.93 1.03 1.00 1.16 1.090.07 -0.13 -0.81 -0.85 -0.28 -0.05 -0.25 -1.29 0.57 -0.12 -0.43 0.31 -0.48 -0.40 -0.06 -1.18
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Count Branch Designation Years of Service Q1 Q2 Q3 Q456 km 4 2 3 4 4 5
ALLCREATION 4SHARING 2APPLICATION 2RETENTION 3
average F1 1F2 5F3 1F4 1F5 4F6 5F7 3F8 2F9 4F10 4F11 4F12 3F13 5F14 1F15 4F16 3
creation F1 5 sharing F1F2 4 F2F3 3 F3F4 5F5 3
COPYRIG
HT U
CT
Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q135 3 3 2 4 5 5 3 5
2 applicationF1 1 retention F1 24 F2 3 F2 22 F3 3 F3 4
F4 4 F4 3
COPYRIG
HT U
CT
Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q224 3 3 5 3 2 2 1 3
COPYRIG
HT U
CT
Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30 Q311 1 4 2 2 3 3 2 4
COPYRIG
HT U
CT
Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q39 Q402 1 1 3 4 3 2 3 1
COPYRIG
HT U
CT
Q41 Q42 Q43 Q44 Q45 Q46 Q47 Q48 Q495 2 1 2 2 4 1 1 4
COPYRIG
HT U
CT
Q50 Q51 Q52 Q53 Q54 Q55 Q56 Q57 Q581 5 3 2 1 1 4 4
COPYRIG
HT U
CT
Q59 Q601 5
COPYRIG
HT U
CT
Count Branch Designation Years of Service Q1 Q2 Q312 pm (micheal) 0 1 3 4 013 pm(hanlie) 0 1 3 3 414 pm (AB) 0 0 1 4 125 pm 1 1 4 4 410 pm 2 1 2 4 317 pm 2 3 4 4 220 pm 2 1 1 3 324 pm 2 1 5 5 115 pm 3 1 4 4 416 pm 3 1 4 4 518 pm 3 1 3 3 219 pm 3 2 3 4 021 pm 3 1 3 2 023 pm 3 3 1 2 426 pm 3 1 2 3 322 pm 4 3 3 3 055 pm 3 1 1 1 4
Count 17Average 3 3 2Standard Dev 1.25 1.00 1.73Skewness -0.15 -0.83 -0.21
ALLCREATION 3SHARING 3APPLICATION 2RETENTION 3
average F1 3F2 3F3 4F4 2F5 2F6 4F7 2F8 2F9 3F10 3F11 3F12 1F13 2F14 2
COPYRIG
HT U
CT
F15 2F16 3
creation F1 3 sharingF2 2F3 3F4 4F5 3
COPYRIG
HT U
CT
Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q120 3 4 4 0 0 3 2 22 4 3 3 4 3 5 0 20 4 2 0 1 3 4 1 14 5 5 4 3 3 4 3 34 3 3 4 3 4 4 2 32 4 4 4 2 4 4 2 44 2 3 4 4 4 5 3 22 3 1 1 2 2 5 1 14 4 3 4 3 4 4 4 44 4 3 4 2 2 2 2 34 2 4 2 3 4 3 5 24 4 4 4 4 4 5 4 43 3 4 4 4 4 5 3 33 1 3 4 2 1 4 1 12 2 2 3 3 3 4 4 34 0 4 4 4 4 4 3 02 1 3 4 4 4 5 2 2
3 3 3 3 3 3 4 2 21.38 1.36 0.97 1.22 1.19 1.22 0.86 1.33 1.17
-0.94 -0.60 -0.53 -1.94 -0.89 -1.42 -0.92 0.07 -0.26
COPYRIG
HT U
CT
F1 3 applicationF1 3 retention F1 2F2 2 F2 2 F2 4F3 3 F3 2 F3 2
F4 3 F4 2
COPYRIG
HT U
CT
Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q212 2 2 2 2 2 4 2 00 2 2 3 3 0 2 4 31 3 0 1 1 1 1 3 13 2 2 4 3 3 3 3 23 4 2 4 2 3 2 4 24 3 2 2 2 4 2 4 23 4 3 2 3 2 1 2 12 3 1 4 4 4 2 5 33 4 2 4 2 4 4 2 22 2 2 1 1 3 1 1 12 4 2 2 3 4 2 2 44 4 0 0 3 4 3 3 43 4 2 2 3 3 1 2 25 5 5 3 1 1 1 5 23 3 3 2 4 3 1 3 10 0 0 4 4 4 4 4 32 2 3 2 2 1 1 1 1
2 3 2 2 3 3 2 3 21.33 1.22 1.25 1.23 1.01 1.31 1.14 1.25 1.12
-0.29 -0.69 0.34 -0.15 -0.09 -0.70 0.72 0.12 0.30
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q304 4 3 2 4 2 0 3 44 4 3 4 4 4 0 4 31 4 2 1 4 3 1 1 44 4 4 2 2 3 2 3 33 2 3 3 4 3 3 3 33 3 2 2 2 2 2 2 42 3 1 2 4 4 4 3 25 4 4 1 4 2 1 4 44 2 4 4 4 2 2 2 24 1 2 2 3 1 1 1 13 4 4 3 4 3 2 4 34 3 3 4 4 2 0 3 43 3 3 2 3 3 0 3 31 1 5 1 1 1 1 1 23 4 2 3 4 1 2 2 34 4 3 0 0 0 0 3 03 1 1 2 2 1 2 1
3 3 3 2 3 2 1 3 31.09 1.17 1.11 1.18 1.27 1.09 1.16 1.00 1.21
-0.85 -0.79 -0.05 0.00 -1.29 -0.20 0.71 -0.27 -0.79
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q393 2 2 3 3 0 2 2 42 0 2 2 2 2 2 3 43 1 2 1 1 1 2 1 32 2 3 3 2 4 3 3 43 2 4 3 4 4 2 2 33 4 2 3 2 2 4 3 43 2 3 3 1 2 3 4 41 3 5 4 2 4 2 4 44 2 3 2 2 2 4 2 42 1 2 1 1 3 2 4 32 3 2 2 2 2 2 3 44 4 4 0 2 2 3 4 43 2 1 3 2 1 1 2 43 1 1 1 1 1 1 1 14 3 4 4 2 3 2 2 40 4 3 3 0 0 0 0 44 3 2 2 2 1 1 1 3
3 2 3 2 2 2 2 2 41.10 1.16 1.11 1.11 0.88 1.27 1.05 1.23 0.80
-0.91 -0.11 0.50 -0.50 0.38 0.21 0.10 -0.23 -2.44
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q40 Q41 Q42 Q43 Q44 Q45 Q46 Q47 Q480 4 3 0 2 2 2 4 40 0 2 3 2 0 2 4 42 3 1 1 1 1 1 4 32 3 3 3 3 2 3 4 32 3 2 3 3 2 3 4 42 4 4 4 4 4 3 4 42 3 3 4 1 3 2 4 42 5 2 5 3 5 3 4 42 4 4 4 3 4 4 4 41 2 1 2 2 1 1 1 12 2 2 3 2 2 2 4 42 4 4 4 3 0 4 4 42 3 2 3 1 2 2 4 41 2 1 1 1 1 3 5 32 4 3 3 4 3 2 3 44 4 3 3 5 0 0 5 02 4 2 2 2 2 2 1 2
2 3 2 3 2 2 2 4 30.90 1.19 1.01 1.29 1.18 1.46 1.05 1.10 1.21
-0.05 -1.15 0.09 -0.63 0.47 0.41 -0.30 -1.86 -1.83
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q49 Q50 Q51 Q52 Q53 Q54 Q55 Q56 Q572 2 2 4 0 0 0 2 24 3 0 4 1 0 4 1 12 2 3 4 2 2 1 2 22 2 3 4 2 2 3 2 33 3 3 4 3 3 3 3 43 4 4 4 4 2 4 2 22 0 3 4 2 2 2 1 14 3 2 5 4 1 2 2 44 4 4 4 2 2 3 3 30 3 1 1 1 2 3 2 14 2 3 4 1 2 4 1 10 2 0 4 0 2 4 2 03 2 3 4 1 1 4 1 31 1 1 3 1 1 2 1 13 1 3 4 2 4 4 3 20 3 0 5 0 0 0 0 02 1 2 4 2 1 3 2 4
2 2 2 4 2 2 3 2 21.40 1.09 1.33 0.86 1.22 1.06 1.36 0.83 1.32
-0.44 -0.20 -0.54 -2.45 0.55 0.27 -0.92 -0.24 0.18
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Q58 Q59 Q602 0 40 3 43 3 44 3 43 3 42 2 41 1 11 5 52 2 51 0 53 3 40 0 53 1 55 2 54 3 50 0 54 3 4
2 2 41.56 1.46 0.990.00 0.00 -2.45
COPYRIG
HT U
CT
COPYRIG
HT U
CT
Count Branch Designation Years of Service Q1 Q2 Q31 bp 1 1 3 3 46 bp 2 1 4 4 44 bp 3 1 3 3 28 bp 3 2 3 1 32 bp 4 1 3 3 45 bp 4 1 3 2 37 bp 4 1 2 2 3
57 bp 2 1 3 4 458 bp 2 1 3 5 359 bp 2 1 3 5 1
Count 10Average 3 3 3Standard Dev 0.47 1.32 0.99Skewness 0.00 -0.09 -1.08
ALLCREATION 3SHARING 3APPLICATION 3RETENTION 3
average F1 3F2 3F3 3F4 3F5 3F6 4F7 4F8 3F9 3F10 3F11 3F12 3F13 3F14 3F15 2F16 3
creation F1 3 sharingF2 3F3 3F4 4F5 3
COPYRIG
HT U
CT
Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q121 1 3 3 2 1 5 3 34 3 3 4 4 2 4 3 43 4 4 4 4 3 4 5 31 1 2 4 1 2 4 2 13 2 3 3 2 2 4 3 32 3 3 4 3 2 3 2 32 2 3 3 3 2 3 2 34 3 3 3 3 3 4 3 34 3 3 4 4 3 5 3 44 5 3 2 3 2 4 3 2
3 3 3 3 3 2 4 3 31.23 1.25 0.47 0.70 0.99 0.63 0.67 0.88 0.88
-0.43 0.28 0.00 -0.78 -0.61 -0.13 0.00 1.46 -1.02
F1 3 applicationF1 4 retention F1 2F2 3 F2 3 F2 3F3 3 F3 3 F3 3
F4 3 F4 3
COPYRIG
HT U
CT
Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q211 3 2 3 3 2 3 3 23 3 2 4 4 3 3 4 33 3 3 4 4 4 4 4 32 3 3 4 2 3 1 5 12 3 2 3 3 2 3 3 22 2 3 3 3 3 2 2 33 3 3 4 2 4 3 3 22 3 2 4 4 4 4 3 34 4 3 3 4 4 4 44 3 2 4 4 4 2 4 4
3 3 2 4 3 3 3 4 30.97 0.47 0.53 0.52 0.79 0.82 0.99 0.85 0.950.11 0.00 0.27 -0.48 -0.41 -0.69 -0.61 0.00 -0.23
COPYRIG
HT U
CT
Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q303 2 1 1 3 1 2 2 34 3 4 4 4 3 4 4 44 4 3 3 3 3 3 4 43 1 3 3 5 3 2 1 23 2 2 2 3 2 2 2 43 3 2 2 3 2 2 2 34 3 2 3 3 2 3 2 24 4 4 4 3 3 34 3 4 4 4 4 34 3 2 4 4 3 2 4 3
4 3 3 3 4 3 3 3 30.52 0.92 1.06 1.05 0.73 0.88 0.73 1.14 0.74
-0.48 -0.60 0.04 -0.55 1.01 -0.21 1.01 -0.09 -0.17
COPYRIG
HT U
CT
Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q393 1 3 1 1 2 1 3 32 2 4 2 3 2 3 4 43 3 3 3 3 3 2 3 31 3 4 4 2 2 1 1 43 2 3 2 2 2 2 3 33 2 3 3 2 2 3 3 34 4 3 3 2 2 2 3 32 3 4 4 4 4 3 44 3 2 3 5 4 4 45 5 5 5 3 3 1 1 5
3 3 4 3 3 3 2 3 41.15 1.20 0.71 1.20 0.85 1.01 1.16 1.03 0.700.00 0.54 1.18 0.23 0.00 2.12 0.34 -1.03 0.78
COPYRIG
HT U
CT
Q40 Q41 Q42 Q43 Q44 Q45 Q46 Q47 Q481 3 1 4 3 1 3 1 12 4 4 4 3 4 3 4 43 4 4 3 4 3 4 2 34 2 3 3 5 3 2 2 22 3 2 4 3 4 3 2 23 3 3 3 3 2 3 3 42 3 2 2 2 3 2 2 23 5 4 4 3 4 4 3 32 4 3 4 3 4 4 33 5 3 5 4 1 3 2 2
3 4 3 4 3 3 3 3 30.85 0.97 0.99 0.84 0.82 1.20 0.71 0.97 0.970.00 0.11 -0.61 -0.39 0.81 -0.74 0.00 0.45 0.11
COPYRIG
HT U
CT
Q49 Q50 Q51 Q52 Q53 Q54 Q55 Q56 Q572 3 4 4 1 1 3 1 22 4 3 4 1 4 4 1 43 3 4 4 3 3 2 3 42 1 1 5 1 1 4 1 12 3 4 4 1 2 3 2 22 2 4 3 2 2 4 2 33 3 2 4 3 3 3 2 2
4 4 4 2 2 33 4 4 31 1 5 5 1 1 5 1 1
2 3 4 4 2 2 3 2 20.67 1.14 1.18 0.67 0.92 1.13 1.00 0.71 1.13
-0.25 -0.66 -1.27 0.00 1.00 0.49 0.11 0.61 0.18
COPYRIG
HT U
CT
Q58 Q59 Q602 3 14 4 53 2 43 1 52 3 53 43 2 44 4 44 45 3 3
3 3 40.95 1.04 1.200.23 -0.39 -1.71
COPYRIG
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APPENDIX 5 – DEAAT Senior Management Interviews
Interview 1 Mr. P Beets, Director, Transport Administration
[Q1] What do you understand by knowledge management?
KM is not different from the current policies of getting know-how and transferral of that knowledge downward in cascade fashion.
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management?
refer to [Q1]
[Q3] Are your strategic objectives aligned with your knowledge management objectives? Knowledge management would facilitate the achievement of the branch’s strategic objectives.
[Q4] Do your employees have skills to transform data into meaningful information? There are two extremes to knowledge: those with the experiential knowledge but no qualifications and the newly qualified who have no experiential knowledge. There is a need to accelerate the process to be effective. Employees have the ability to transform data into meaningful information but a considerable portion is purely functional.
[Q5] What role does the knowledge, which is present within your branch or function play in creating the department’s organization competencies? Education and training enjoys a good status. Personnel are being developed to become more client service oriented
[Q6] Have you already made your own analysis of the existing knowledge and knowledge processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch? The branch has recently undergone a skills audit and a SWOT analysis. The six directors within the branch are measured on a quarterly basis
[Q7] In which areas of knowledge management is your branch particularly strong? The use and application of knowledge are the branches strong points.
[Q8] Where do you see the nuclei of knowledge management in your department?
There are nuclei of knowledge that lies mainly in the line function of the particular department.
[Q9] Who are the promoters or champions of knowledge management? There are a number of individuals who champion the management of knowledge within the branch.
[Q10] What or who are the inhibitors of knowledge management? There are many knowledgeable people in the branch however the newly appointed staff do not have the skills. The years following the transition saw many experienced personnel leave the department either for better job opportunities or taking the package. The exodus had a detrimental effect on the department and it had to re-build itself. Management is of the opinion that the branch is still suffering.
[Q11] In which knowledge management processes (creation, sharing, application or retention/retrieval) do you see your main problems?
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Creation and sharing of knowledge are perceived to be the main problems in the admin section.
[Q12] Do you know the internal experts in your department and can you contact them easily? Experts within the department are easily contactable.
[Q13] Do you know what projects are in progress in your department at the moment? Management has good information of current major projects within the DEAAT.
[Q14] What information and communications technologies are available to support the different knowledge management processes? The web, posters, flyersand the internet provide good communication (or KM) mechanisms.
[Q15] What are your main ways of acquiring knowledge and which channels do you use often? Channels frequently used for acquisition of knowledge include tertiary institutions (for more formal training); internal occupational training
[Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so? Some employees will be willing to share their tacit knowledge. Others will not be so willing. Some feel intimidated if they share too much of their knowledge – they will eventually lose power and status and will no longer be needed for their knowledge. There is a culture whereby one uses their own knowledge for their own purposes only.
[Q17] Do you have best practices for the core processes in your department? There are operating procedures in place that helps minimise the reliance on tacit knowledge
Interview 2 Mr. J Slabbert, Chief Director, Property Management [Q1] What do you understand by knowledge management?
Knowledge management is inherent in the various line functions and is not necessarily a separate management issue.
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management? There is no formal policy.
[Q3] Are your strategic objectives aligned with your knowledge management objectives? There are no explicit knowledge management objectives but it would facilitate the achievement of the branch’s strategic objectives.
[Q4] Do your employees have skills to transform data into meaningful information? Yes they do but probably not to the same degree throughout all levels.
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[Q5] What role does the knowledge, which is present within your branch or function play in
creating the department’s organization competencies? It is very important.
[Q6] Have you already made your own analysis of the existing knowledge and knowledge processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch? The process whereby the knowledge levels are determined is by the skills audit that was conducted in the year 2000.
[Q7] In which areas of knowledge management is your branch particularly strong? The main strength is the retention of staff with inherent knowledge. There is a good corporate culture within the department.
[Q8] Where do you see the nuclei of knowledge management in your department? There is a nucleus of knowledge within the branch. When knowledgeable people leave the branch there is an anticipated drop in level of service delivery or strategic objectives.
[Q9] Who are the promoters or champions of knowledge management? There are a few individuals who champion the pursuit of knowledge within the branch.
[Q10] What or who are the inhibitors of knowledge management? There is a need for more effective communication mechanisms. Inter-departmental co-operation is a weak point. There is a major lack of communication between certain branches and this is an area for improvement.
[Q11] In which knowledge management processes (creation, sharing, application or retention/retrieval) do you see your main problems? Creation and sharing of knowledge are the main issues in this branch.
[Q12] Do you know the internal experts in your department and can you contact them easily?
Yes, the experts within the department are known.
[Q13] Do you know what projects are in progress in your department at the moment? Yes, management attends regular forum meetings where such issues are discussed.
[Q14] What information and communications technologies are available to support the different knowledge management processes? Existing technology used to support knowledge management include the internet, media, journals and reports. Video recordings of presentations may help in spreading messages as well as concise newsletters.
[Q15] What are your main ways of acquiring knowledge and which channels do you use often?
E-mail is a convenient mechanism of exchange but some still do not acknowledge e-mail messages as being official.
[Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious
and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so? Management stressed the importance of making tacit knowledge explicit and this is achieved mainly by reporting procedures in the line management functions. Meetings are a good mechanism but this method is sometimes not convenient from a logistical perspective.
[Q17] Do you have best practices for the core processes in your department?
There are operating procedures in place.
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Interview 3 Mr J Koeglenberg, Director, Motor Transport / Garage [Q1] What do you understand by knowledge management?
Management has heard of knowledge management – perceives it to be the knowledge a manager has and how s/he filters it down to the subordinates.
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management? There is no formal policy. There are no knowledge goals set for the department but how does one do this?
[Q3] Are your strategic objectives aligned with your knowledge management objectives? Management agrees that knowledge management will help reach its department’s strategic objectives.
[Q4] Do your employees have skills to transform data into meaningful information? The impression is that the staff capabilities need to be enhanced.
[Q5] What role does the knowledge, which is present within your branch or function play in creating the department’s organization competencies? Transport plays a major role in the functioning of other departments. It cannot blame other departments for the inefficient provision of transport. It does not itself have a direct role in the delivery of service to the citizens of the Western Cape.
[Q6] Have you already made your own analysis of the existing knowledge and knowledge processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch? A knowledge management assessment has not been conducted it the department but there is a keen interest for it.
[Q7] In which areas of knowledge management is your branch particularly strong? The department is particularly strong in sharing of information and knowledge. There is a firmly held management belief that sharing enables and empowers the more that 100 employees to accomplish their tasks.
[Q8] Where do you see the nuclei of knowledge management in your department? There is a nucleus of knowledge. There is a requirement to build on computer literacy. Staff are willing to share knowledge but there is a reliance on the people with existing knowledge.
[Q9] Who are the promoters or champions of knowledge management? There are no current champions of knowledge management – it is inherent in the structure. There is a need for a formalised approach to knowledge management.
[Q10] What or who are the inhibitors of knowledge management?
There is a cross spectrum of employees and no evidence of social inhibitors to knowledge management. Most staff are young and there is not much loss of knowledge due to retirement. The present working environment is such that staff do not have time to prepare – one of the inhibitors to knowledge management. Staff continually find themselves ‘fire-fighting’.
[Q11] In which knowledge management processes (creation, sharing, application or retention/retrieval) do you see your main problems? The introduction of new ideas is a problem even with those developed internally. As with affirmative action, the introduction of new recruits there is an initial lack of knowledge as they were not previously exposed to or engaged with the processes. Work goals have to be met by the more experienced staff. Knowledge issues presents itself in the form of the job specifications – more experienced people are required.
[Q12] Do you know the internal experts in your department and can you contact them easily?
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The internal experts within the branch are known. There is potential to harm the operational effectiveness if these people leave the organisation.
[Q13] Do you know what projects are in progress in your department at the moment?
There is no structured process of knowledge management but there are management meetings held on a 6-weekly basis. There is a perception that if held monthly attendance is likely to drop.
Not all the projects within the DEAAT are known – but there is an interest. This type of information generally takes time to filter through (approximately 3 months to become aware).
[Q14] What information and communications technologies are available to support the
different knowledge management processes?
There are faster ways of communicating such as a concise regularly distributed newsletter. IT infrastructure needs to be improved to enhance the speed of the present applications. People will accept changes as long as they run effectively.
[Q15] What are your main ways of acquiring knowledge and which channels do you use often?
Current ways of acquiring knowledge is via presentations that subsequently are transferred to lower staff levels
[Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious
and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so? Staff will be willing to share their tacit knowledge if asked to. There is a perception that people have moved away from becoming experts and are more willing to share their knowledge. There is an emphasis on teamwork because of the nature of the work. Documentation can be more concise an in the form of work instructions.
[Q17] Do you have best practices for the core processes in your department?
Staff are aware of the branch’s core processes. Staff are taken on workshops where they are exposed to the functioning of other departments via presentations. This also happens on an inter- departmental level. A framework for knowledge management is needed. There is a strong synergy and vision within the DEAAT.
Interview 4 Mr S Snyman, Director, Property Planning & Development [Q1] What do you understand by knowledge management?
Management has rubbed shoulders with knowledge management but believes it to be inherent in the current structures built up over a number of years
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management?
There is no present policy that covers knowledge management in the department. [Q3] Are your strategic objectives aligned with your knowledge management objectives?
It is believed that knowledge management will enable the branch to achieve it strategic objectives. Strategic objectives are not necessarily aligned with the knowledge management processes in that databases are not shared among departments. Each has its own separate system.
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[Q4] Do your employees have skills to transform data into meaningful information? Yes.
[Q5] What role does the knowledge, which is present within your branch or function play in creating the department’s organization competencies?
The type of work requires specialised knowledge. [Q6] Have you already made your own analysis of the existing knowledge and knowledge
processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch? refer to [Q2]
[Q7] In which areas of knowledge management is your branch particularly strong?
The department is strong in the application of knowledge. The type of knowledge required by this department cannot be taught over a relatively short period.
[Q8] Where do you see the nuclei of knowledge management in your department?
There are nuclei of knowledge that are being managed indirectly without any formalised management approach.
[Q9] Who are the promoters or champions of knowledge management?
There are a few (about 3) knowledge champions within the department (including the interviewee).
[Q10] What or who are the inhibitors of knowledge management?
The transfer of knowledge is inhibited by the bureaucratic structure of the organisation. Communication lines are poorly designed and the messages cannot be effectively because of ‘red-tape’ issues.
[Q11] In which knowledge management processes (creation, sharing, application or retention/retrieval) do you see your main problems? refer to [Q3]
[Q12] Do you know the internal experts in your department and can you contact them easily?
Yes. [Q13] Do you know what projects are in progress in your department at the moment?
Management is aware of the high profile projects within the DEAAT but within the Property Management branch all the progress on projects taking place are known. The on-goings in certain branches are only sometimes read about in the newspaper.
[Q14] What information and communications technologies are available to support the
different knowledge management processes? Internet, e-mail, media, journals and reports, meetings, presentations, etc.
[Q15] What are your main ways of acquiring knowledge and which channels do you use often?
Routes for gaining knowledge are mostly external to the organisation.
[Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so? There is a cultural problem within the organisation, that colleagues withhold knowledge especially in the areas outside of one’s own knowledge base.
[Q17] Do you have best practices for the core processes in your department?
There are SOPs.
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Interview 5 Mr B Veldman, Chief Director, Infrastructure [Q1] What do you understand by knowledge management?
It was previously understood that intellectual and knowledge-based assets are the staff and processes, meetings, management systems and interactions.
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management? Knowledge pools are formalised and inherent in the processes. Knowledge is taken into account when drawing up the strategy for the branch. There is the perception that knowledge management is making too much of something that is not special.
[Q3] Are your strategic objectives aligned with your knowledge management objectives?
The department cannot perform without tapping into knowledge (via experience and intellect). Therefore, enhancement of knowledge management will facilitate the achievement of the branch’s strategic objectives.
[Q4] Do your employees have skills to transform data into meaningful information?
Yes. [Q5] What role does the knowledge, which is present within your branch or function play in
creating the department’s organization competencies? There is a loss of knowledge when on leaves and getting skilled staff in the public
sector is not easy. [Q6] Have you already made your own analysis of the existing knowledge and knowledge
processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch? ?
[Q7] In which areas of knowledge management is your branch particularly strong?
Processes are shared constantly and there is strength in retention of knowledge. Staff always discuss and debate strategies. The branch is very much execution based and output-driven. The branch is doing well in terms of sharing knowledge.
[Q8] Where do you see the nuclei of knowledge management in your department?
There is a nucleus of knowledge and the branch is currently working on creation of knowledge.
[Q9] Who are the promoters or champions of knowledge management?
Knowledge champions are inherent in the systems.
[Q10] What or who are the inhibitors of knowledge management? Environmental factors play a part in the inhibition of knowledge management. Examples include economic issues such as the inability to remunerate skilled staff with salaries competitive to the private sector. Affirmative action also has a role to play and impinges on the business.
[Q11] In which knowledge management processes (creation, sharing, application or retention/retrieval) do you see your main problems? The issues are normal inefficiencies (time taken to do things) and the bureaucratic structure.
[Q12] Do you know the internal experts in your department and can you contact them easily?
Yes.
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[Q13] Do you know what projects are in progress in your department at the moment?
The branch is very knowledge centric and it is essential to the type of work conducted. Inter-departmental co-operation could improve. There are mechanisms in place and there are efforts towards achieving this. Senior managers know the projects the other branches but should improve the transfer of this information down the hierarchy. There are senior management meetings where strategies are discussed and everyone has the opportunity to present their views and help one another.
[Q14] What information and communications technologies are available to support the different knowledge management processes? Internet, e-mail, media, journals and reports, meetings, presentations, etc.
[Q15] What are your main ways of acquiring knowledge and which channels do you use often?
Knowledge is acquired through continuous education. Basic formal education is a pre-requisite, but there are other established mechanisms for on-going training such as fact-finding missions overseas etc. Internal training is more in the form of knowledge transfer from more experienced staff.
[Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so? Tacit knowledge will be shared if staff are asked as one cannot function if knowledge is not used consciously.
[Q17] Do you have best practices for the core processes in your department?
Standard operating procedures are in place but any individual that leaves will be missed. However, the branch continues to function but with a lot more effort.
Interview 6 Mr B J du Plessis, Director, Personnel and Administration
[Q1] What do you understand by knowledge management?
Knowledge management is inherent in the processes. .
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management? Although all branches may not be aware, there are policies to support the information technology and operations plans, but there is no policy in place yet for information.
[Q3] Are your strategic objectives aligned with your knowledge management objectives? The strategic objectives are aligned with those of knowledge management goals but it is not formalised. There is room for improvement in this area. Knowledge is taken into account when strategies are discussed – there main objective being to satisfy the internal clients by streamlining their application of knowledge.
[Q4] Do your employees have skills to transform data into meaningful information?
Although an analysis of the existing knowledge has not been conducted it was perceived that not all employees have the ability to transform data into meaningful information. Whilst more senior staff are the able, there are portions of the clerical staff that do not have the ability.
[Q5] What role does the knowledge, which is present within your branch or function play in
creating the department’s organization competencies? There is a loss of knowledge when on leaves and getting skilled staff in the public
sector is not easy.
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[Q6] Have you already made your own analysis of the existing knowledge and knowledge processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch? refer to [Q4]
[Q7] In which areas of knowledge management is your branch particularly strong?
Areas in which the department is particularly strong are in the retention and application of knowledge.
[Q8] Where do you see the nuclei of knowledge management in your department?
There are nuclei of knowledge within the department, with each section having at least one or two databases that can be used for knowledge management purposes.
[Q9] Who are the promoters or champions of knowledge management? There are at least 3 people that can be identified as knowledge champions within the department
[Q10] What or who are the inhibitors of knowledge management?
Inhibitors to knowledge management include the short times allowed to reach deadlines. There is not enough staff to meet the demands of the DEAAT.
[Q11] In which knowledge management processes (creation, sharing, application or retention/retrieval) do you see your main problems? Issues that have implications on knowledge management include budget constraints, centralisation of IT, the bureaucratic nature of the DEAAT and lack of management support. The main problems occur in the areas of creation and application of knowledge. IT resources are not always accessible.
[Q12] Do you know the internal experts in your department and can you contact them easily?
Yes. [Q13] Do you know what projects are in progress in your department at the moment?
Even though the projects in other branches are known via established forums, interdepartmental co-operation is a problem.
[Q14] What information and communications technologies are available to support the
different knowledge management processes? There is a wide range of supporting technologies available to support the knowledge management processes, namely, PCs, the internet, databases, the intranet etc.
[Q15] What are your main ways of acquiring knowledge and which channels do you use often?
The main means of acquiring knowledge is via current literature and working groups [Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious
and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so? There are ways in which tacit knowledge can be made explicit for example there are standard operating procedures for all types of jobs. Manuals and handbooks have been set-up. It is believed that staff will be willing to share their knowledge if asked.
[Q17] Do you have best practices for the core processes in your department?
There are established best practices there is close collaboration amongst the nine provincial departments. Communities of practice have also been established which allows for the sharing of information. These are also supported by the code of conduct of the DEAAT.
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Interview 7 Mr J Paulse, Director, Agricultural Training [Q1] What do you understand by knowledge management?
Management’s broad understanding of knowledge management is the acquisition and transfer of knowledge and then to create systems to implement this knowledge. .
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management? Since agriculture is one of the economic drivers of the province it is imperative that the players receive a high standard of training as possible. There is no explicit knowledge management policy.
[Q3] Are your strategic objectives aligned with your knowledge management objectives?
There is no explicit knowledge management policy. The current strategy revolves around the transfer of agricultural knowledge to the greater Western Cape area and the rest of Africa. To do this one has to use different systems, e.g., previous focus was on one-to-one training, but now there is a shift towards e-learning to make the knowledge base more accessible.
[Q4] Do your employees have skills to transform data into meaningful information?
The employees do, to a large extent (due to the nature of the work), have the ability to transform data into meaningful information.
[Q5] What role does the knowledge, which is present within your branch or function play in
creating the department’s organization competencies? It is vital to the functioning of the branch. [Q6] Have you already made your own analysis of the existing knowledge and knowledge
processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch? There is continuous evaluation of staff via regular skills audits. There are work bodies that are in collaboration with other educational institutions such as the University of Stellenbosch and Cape Technikon. The students also give feedback on the course content and lecturer’s performance.
[Q7] In which areas of knowledge management is your branch particularly strong?
Strengths in the department include the sharing and application of knowledge. [Q8] Where do you see the nuclei of knowledge management in your department?
The lecturers are specialists in their respective fields. [Q9] Who are the promoters or champions of knowledge management?
It is perceived that the lecturing staff are more inclined than the lower level instructors to champion knowledge management initiatives. There may also be differences in the motivation to manage knowledge, with the staff in more popular/competitive fields of study being more inclined to do so.
[Q10] What or who are the inhibitors of knowledge management?
Salaries are not competitive enough to keep certain expertise – the availability of knowledge in specific fields is market driven. The department has to rely on flexible work structures such as contract employment, consultancy work etc. Inhibitors to knowledge management include funding, technology changing at a faster rate and cultural problems where there will be unconscious resistance, such as, the move towards e-learning (would mean more work effort) and the move from Afrikaans to English medium.
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[Q11] In which knowledge management processes (creation, sharing, application or retention/retrieval) do you see your main problems? The main problems with knowledge management lie in the areas of creation and retention.
[Q12] Do you know the internal experts in your department and can you contact them easily?
The internal experts are known and can be contacted easily.
[Q13] Do you know what projects are in progress in your department at the moment?
The major projects in the department and other branches are known. This information is fed back via the management forums. These sessions are useful as the sharing of ideas creates synergy. However, there is lots of room for improvement in the area of inter-departmental co-operation. Within the Agricultural department the co-operation is good.
[Q14] What information and communications technologies are available to support the
different knowledge management processes? The technologies used to support knowledge management processes include printed format, e-mail, internet.
[Q15] What are your main ways of acquiring knowledge and which channels do you use often?
There are several ways in which knowledge is acquired, namely, via meetings, direct sharing, professional bodies, communities of practice, overseas seminars, associations, internet and intranet. Electronic communication is preferred for the facilitation of knowledge transfer.
[Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so? Management felt that the staff would be willing to share their tacit knowledge if asked
to do so.
[Q17] Do you have best practices for the core processes in your department? The department also has standard operating procedures in place to facilitate knowledge transfer.
Interview 8 Dr Laurine Platzky, Deputy Director General, Business Promotion and
Tourism [Q1] What do you understand by knowledge management?
Knowledge management is building a systematic, reliable, qualitative, intuitive, an evaluation - point in direction of decision-making, iteration. Systematic means the approach to acquiring and processing various factors of the environment for strategic intervention
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management?
Not really. Conventional systems, communications systems exist. Networking informally is not a strength in government. Needs skills and systems. Not explicit.
[Q3] Are your strategic objectives aligned with your knowledge management objectives? Implicitly yes. The strategic objective "to ensure the effective marketing of tourism, trade and investment opportunities globally" – we are doing this practically. There are no knowledge management objectives in this branch
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[Q4] Do your employees have skills to transform data into meaningful information?
Yes. Most of them do have the skills.
[Q5] What role does the knowledge, which is present within your branch or function play in creating the department’s organization competencies? Big role - not explicit. Paradigms are different in different branches. The organisational competencies - policy making, legislative, programmatic: implementation of policy, financing and budget, communications and linking with other government spheres.
[Q6] Have you already made your own analysis of the existing knowledge and knowledge processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch? No.
[Q7] In which areas of knowledge management is your branch particularly strong?
Networking. [Q8] Where do you see the nuclei of knowledge management in your department?
Branch management meeting and monthly evaluation meeting and strategic review.
[Q9] Who are the promoters or champions of knowledge management? All management is champions.
[Q10] What or who are the inhibitors of knowledge management?
The inhibitors are bureaucratic procedures.
[Q11] In which knowledge management processes (creation, sharing, application or retention/retrieval) do you see your main problems? Creation - surplus of influence, well networked - good. Sharing is a problem - turf protection, who is expert? Application – varies with confidence and experience. Retrieval - kept best staff. The intranet is not useful. Took six weeks for white paper to be published on the intranet.
[Q12] Do you know the internal experts in your department and can you contact them easily?
Yes. [Q13] Do you know what projects are in progress in your department at the moment?
Yes.
[Q14] What information and communications technologies are available to support the different knowledge management processes? ICT - website, intranet – is a disaster, it could be better. E-mail works well. IT support is uneven.
[Q15] What are your main ways of acquiring knowledge and which channels do you use often? There are problems with the time it takes to access written reports.
[Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious
and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so? Yes. Outside branch lacking.
[Q17] Do you have best practices for the core processes in your department?
Have written up some of it. Time and resources lacking - not documented. Cape gateway - support needed.
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Interview 9 Francois Joubert, Director: Works (Education) [Q1] What do you understand by knowledge management?
Knowledge management - confusing it with experience, knowledge is not experience. There is no mechanism to record and transfer, when people leave they leave with their knowledge. This creates a huge vacuum as new people take a long time to get knowledge. In government specific knowledge is required.
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management?
No. We don't know how to manage knowledge [Q3] Are your strategic objectives aligned with your knowledge management objectives?
Knowledge objectives do not appear in our strategic objectives. It is not part of human resources management nor information management.
[Q4] Do your employees have skills to transform data into meaningful information?
Yes
[Q5] What role does the knowledge, which is present within your branch or function play in
creating the department’s organization competencies? In a bureaucracy we breakdown all activities, we are like a machine….no thinking is required, do not allow creativity and initiative. Architects and engineers are expected to be creative…expect a fair level of knowledge to do the work. We employ only people with experience…following a rigid recruitment and selection process.
[Q6] Have you already made your own analysis of the existing knowledge and knowledge
processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch? A skills audit was done last year. I do not know the outcome. There is no conscious effort.
[Q7] In which areas of knowledge management is your branch particularly strong?
The needs of school children, outcome based education, school buildings and environment.
[Q8] Where do you see the nuclei of knowledge management in your department? Do not know.
[Q9] Who are the promoters or champions of knowledge management? Do not know
[Q10] What or who are the inhibitors of knowledge management?
Learning not documented. In crisis management mode…no time to even record basic data. No time for research or collection of statistics, in acquiring new knowledge. We are reacting to crises and get a little input, no active process to acquire better solutions. I surveyed my staff and asked them to respond to the question: "Are you happy with your job?" 37% answered yes. I suppose that this would tell you how many of my staff is productive, evidently there is a correlation between job satisfaction and productivity.
[Q11] In which knowledge management processes (creation, sharing, application or retention/retrieval) do you see your main problems?
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Due to the ringfencing of responsibilities one does not know what is happening in other departments. We are in competition with other directors, so we do not share. Bureaucracies make everything routine for management purposes…machine bureaucracy…can control larger quantities of activities.
[Q12] Do you know the internal experts in your department and can you contact them easily? Yes. cannot contact them easily
[Q13] Do you know what projects are in progress in your department at the moment? No, due to the ring-fencing.
[Q14] What information and communications technologies are available to support the
different knowledge management processes? Intranet, e-mail, e-works
[Q15] What are your main ways of acquiring knowledge and which channels do you use often? refer to [Q14]
[Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so? I think staff will be willing to share knowledge.
[Q17] Do you have best practices for the core processes in your department? There are no best practices recorded, it is in our heads. Cape Gateway and e-government: I don’t know what they are doing. I know they have a shop, and are setting up web pages, they do not affect my work. Most staff do not know who they are. I would like to use web-based technology for projects. E-Government should start with schools and hospitals. It is not involved in areas that affect ordinary people…no external focus.
Interview 10 Richard Petersen, Deputy Director General: Property Management & Works
[Q1] What do you understand by knowledge management?
Is KM another fad? What is KM…we have been managing knowledge without it been called KM. We had the BPR fad, is this the new one? Technology will assist in making knowledge accessible. In government we have a lot of information locked in files…paper-based…not accessible. Yes, maybe web-based is an option, though the right people should have access
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management? Not explicit, no formal policy.
[Q3] Are your strategic objectives aligned with your knowledge management objectives?
No [Q4] Do your employees have skills to transform data into meaningful information?
Yes. [Q5] What role does the knowledge, which is present within your branch or function play in
creating the department’s organization competencies? Has a crucial role in this Branch as we have many projects to manage
[Q6] Have you already made your own analysis of the existing knowledge and knowledge
processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch?
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No. [Q7] In which areas of knowledge management is your branch particularly strong?
For sharing we have a range of communications systems and structures. When it comes to use the line functions have strategies and interactions. With retention the decisions or policy are on file. These may not be communicated…there are no best practices, that one could package as case studies and place it on the intranet
[Q8] Where do you see the nuclei of knowledge management in your department? refer to [Q2]
[Q9] Who are the promoters or champions of knowledge management?
refer to [Q2]
[Q10] What or who are the inhibitors of knowledge management? The inhibitors are bureaucratic procedures.
[Q11] In which knowledge management processes (creation, sharing, application or
retention/retrieval) do you see your main problems? There is a lack of policy resources in government. We also need systems that allow easy access.
[Q12] Do you know the internal experts in your department and can you contact them easily?
- [Q13] Do you know what projects are in progress in your department at the moment? - [Q14] What information and communications technologies are available to support the
different knowledge management processes? -
[Q15] What are your main ways of acquiring knowledge and which channels do you use often? - [Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious
and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so? -
[Q17] Do you have best practices for the core processes in your department? E-government and Cape Gateway: the concept is good. Need to update information electronically, computerise business processes…move away from manual processes.
Interview 11 Daryl Jacobs, Chief Director: Corporate Services [Q1] What do you understand by knowledge management?
The application of information in a particular environment or context…application is the key to understanding knowledge in the Department, e.g., legislation
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management?
No. [Q3] Are your strategic objectives aligned with your knowledge management objectives?
No [Q4] Do your employees have skills to transform data into meaningful information?
Yes, in human resources, finances and legal.
[Q5] What role does the knowledge, which is present within your branch or function play in creating the department’s organization competencies? There is an enormous amount of information generated, there are many White Papers and 1legislation form central government and this province. These are hardly
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understood by individuals in particular Division. I have doubts whether top management understand all this information, they are bulky documents. They need to be shorter and simpler. All of it is paper-based, and it increases in quantity all the time…there is an information overload, who reads these documents? Executive summaries may help.
[Q6] Have you already made your own analysis of the existing knowledge and knowledge
processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch? Not in a systematic way. We have done a skills audit.
[Q7] In which areas of knowledge management is your branch particularly strong?
In HR and Legal [Q8] Where do you see the nuclei of knowledge management in your department? Most branches have specialist capabilities.
[Q9] Who are the promoters or champions of knowledge management?
Don’t know the champions, most likely the senior managers.
[Q10] What or who are the inhibitors of knowledge management?
The overflow of documentation such as legislation, etc. The structure of the department shows the control mindset. The pilot study on motor vehicle registration is a far cry from doing things electronically. There are benefits from transacting electronically. There are questions on the integrity of the IT systems. 70% of Department staff are roadworkers and farmworkers with no access to a computer.
[Q11] In which knowledge management processes (creation, sharing, application or
retention/retrieval) do you see your main problems? There is little feedback from line Departments. There is a fortnightly meeting of top management where only Corporate Services reports, there are no reports from the other Branches. We have strategic planning twice a year where all the Branches get information.
[Q12] Do you know the internal experts in your department and can you contact them easily?
-
[Q13] Do you know what projects are in progress in your department at the moment? The strategic HR function have meetings with other Branches to get to know what they do. Not all the projects but we are finding out.
[Q14] What information and communications technologies are available to support the
different knowledge management processes? With regard to ICT we have intranet and a web site. Groupwise is extensively used. We have data warehousing system for our documents. The Corpus system is a weakness - cannot link to the internet
[Q15] What are your main ways of acquiring knowledge and which channels do you use often? -
[Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so?
-
[Q17] Do you have best practices for the core processes in your department? Cape Gateway: need a mindshift from serving the needs of the Department to serving the needs of the client. Province (PGWC) is not ready at management level as the hierarchy is a limiting factor, top management is derived from civil servants
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who have been schooled in the old ways of managing. User based approach will not be accepted by management..
Interview 12 D. Adolph, Director: Economic Development [Q1] What do you understand by knowledge management?
Knowledge management is a big challenge for government…need good, reliable procedures in place and targeted knowledge. Whether IT or manual way. Instruments may be blockage, especially in the rural and Black township areas. There is a need to understand technology. For example in a library there is a need for the human capacity, security, infrastructure and access, people have to be literate
[Q2] Does your branch have a policy, strategy, goal, etc., for knowledge management? Not explicit. Information flow a problem.
[Q3] Are your strategic objectives aligned with your knowledge management objectives? No
[Q4] Do your employees have skills to transform data into meaningful information?
Yes. [Q5] What role does the knowledge, which is present within your branch or function play in
creating the department’s organization competencies? Need to create database from which information can be drawn. For this skills are needed, programmes, prepare people for the knowledge economy
[Q6] Have you already made your own analysis of the existing knowledge and knowledge
processes (i.e., identifying, acquiring, developing, sharing, retaining, and retrieving knowledge) in your branch?
[Q7] In which areas of knowledge management is your branch particularly strong?
[Q8] Where do you see the nuclei of knowledge management in your department? - [Q9] Who are the promoters or champions of knowledge management?
- [Q10] What or who are the inhibitors of knowledge management?
Need to change the internal communications such as the route forms. People is the problem. One half does not know what the other half are doing. So you will have problems with a call centre as the referral system will not work. We have eight databases in the provincial government and they don't talk to each other
[Q11] In which knowledge management processes (creation, sharing, application or retention/retrieval) do you see your main problems? Creation - reactive, not proactive in identifying knowledge needs, no dedicated staff. Transfer - learning not documented. Document tracking system not working. Need some transformation in sharing as "Departmentalism" exists. Have shared schedule file that works well. Need multiskilling. Tradition of government is to police, not outcome based, need change of attitude and management style .
[Q12] Do you know the internal experts in your department and can you contact them easily? -
[Q13] Do you know what projects are in progress in your department at the moment?
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- [Q14] What information and communications technologies are available to support the
different knowledge management processes? With regard to ICT we have intranet and a web site. Groupwise is extensively used. We have data warehousing system for our documents. The Corpus system is a weakness - cannot link to the internet
[Q15] What are your main ways of acquiring knowledge and which channels do you use often? [Q16] Are there ways to make tacit knowledge (i.e., knowledge in people’s heads) conscious
and explicit and do you believe that employees would be willing to share their knowledge if asked? If not, why do think so? -
[Q17] Do you have best practices for the core processes in your department?
Cape Gateway: People do not understand it. We have a PowerPoint presentation and had a roadshow to all the Departments. We need to give meaning to the White Paper on Knowledge Economy, practical level. The Economic Development Committee is the driver. We are looking at other Departments key objectives to align them.
Interview 13 Japie van Heerden. Deputy Director General: Transport (Infrastructure)
(Has been in the position for three months. We had a general discussion which focused on the need for training).
There is no problem with a bureaucracy. What is needed is a change in attitude or mindset. When I joined government thirty years ago as an engineer I received training. I think this is missing at the moment, so new employees without experience cannot be employed. There is a need for training courses and I have a budget for this. We are not utilising our knowledge correctly. We need a transfer of skills with the private sector. I agree that we need to capture the lessons learnt in our projects.
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Knowledge Management Diagnostic
1
SURVEY QUESTIONNAIRE
An Assessment of the Readiness of the Western Cape Department of Economic Affairs, Agriculture and Tourism (DEAAT) for the Knowledge Economy
WHAT IS KNOWLEDGE MANAGEMENT? • It is the process by which the organisation generates wealth from its intellectual or
knowledge-based assets (Bukowitz & Williams, 1999) • It is the explicit and systematic management of vital knowledge and its associated
processes of creation, storage, retrieval, transfer, and application, in pursuit of organisational objectives (Skyrme, 1999)
Purpose of the Questionnaire: To obtain the opinions of staff throughout the DEAAT regarding its knowledge
management processes (creating, sharing, application and storage/retrieval of knowledge).
Confidentiality: Please note that the information obtained from respondents is solely for research
purposes and will at all times be treated as confidential. INSTRUCTIONS:
• There are no correct or incorrect answers. Decide to what degree each of the following statements describes your Branch or Department best.
• Select one of the following: STRONGLY AGREE, AGREE, SO-SO, DISAGREE, STRONGLY DISAGREE for each statement by making a tick in the appropriate box.
Example:
KNOWLEDGE MANAGEMENT DIAGNOSTIC
STR
ON
GLY
DIS
AG
REE
DIS
AG
REE
SO-S
O
AG
REE
STR
ON
GLY
AG
REE
1 Groups and individuals routinely share information about their expertise
√
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Knowledge Management Diagnostic
2
Please tick the appropriate box At which Branch do you work?
Transport
Business Promotion &
Tourism
Property Management &
Works
Agriculture
Corporate
Affairs
Knowledge Economy &
E-Government What is your Job Designation?
Deputy Director General, Chief Director, Director
Assistant Director, Deputy Director
Senior Admin, Technical
General Admin or Other
How long have you worked in your Branch/Department?
< 3 years
4 – 10 years
11 –15 years
>15 years
KNOWLEDGE MANAGEMENT DIAGNOSTIC
STR
ON
GLY
DIS
AG
REE
DIS
AG
REE
SO-S
O
AG
REE
STR
ON
GLY
AG
REE
1. Groups and individuals routinely share information about their expertise
2. Training on new systems focuses on how these technologies can be used to improve the quality and efficiency of how people work.
3. Specific individuals identify, collect, classify, summarise and disseminate organisational knowledge.
4. Experts play a role in identifying important information for other users
5. The electronic and physical places where we store our knowledge contain the best information available on a wide range of critical topics.
6. When people are given the task of searching for information they are able to fulfil the request.
7. The organisation has created electronic (e.g. Intranet) and paper-based tools which direct people to available resources.
8. We have established ways for people to document and share information.
9. People can search for information across a wide variety of applications and databases
10. We recognise that knowledge is part of our asset base.
11. Members of the senior management team frequently talk about knowledge management when reporting on the state of the organisation.
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Knowledge Management Diagnostic
3
KNOWLEDGE MANAGEMENT DIAGNOSTIC
STR
ON
GLY
DIS
AG
REE
DIS
AG
REE
SO-S
O
AG
REE
STR
ON
GLY
AG
REE
12. We have developed a framework that links knowledge management activities to strategic outcomes.
13. Senior management assesses what knowledge needs to be developed when it allocates resources.
14. Assessment of knowledge-based assets is part of our overall organisational performance measurement process.
15. We have mapped the process flow of knowledge management activities.
16. People apply what they learn outside the organisation to their work.
17. Teams engage in off-site learning experiences to find better ways of working together.
18. Reflecting on lessons learned from work experiences is an established practice in our organisation.
19. When people finish projects, they generally take the time to meet with their team and analyse what went wrong and what could have been done better.
20. Our learning process often includes gathering feedback from customers.
21. People admit when they fail.
22. People apply the ideas they developed in past work situations to their current work.
23. Our organisation supports group activities that promote mutual learning.
24. We treat disagreement as an opportunity to learn from one another.
25. Dedicated roles, such as knowledge manager or knowledge co-ordinator, support the knowledge-sharing process.
26. People in our organisation would say that sharing knowledge does not diminish the individual's value to the organisation.
27. We link people across traditional organisational units and functional groups to promote knowledge sharing.
28. Knowledge-sharing behaviour is built into the performance appraisal system.
29. Our organisation looks for ways to remove barriers to knowledge sharing.
30. People can identify others in the organisation that might benefit from their knowledge.
31. Our reporting relationships do not interfere with people(other than our direct line manager) getting the information they need.
32. We seriously consider what others might call crazy or outrageous ideas as part of our problem-solving process.
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Knowledge Management Diagnostic
4
KNOWLEDGE MANAGEMENT DIAGNOSTIC
STR
ON
GLY
DIS
AG
REE
DIS
AG
REE
SO-S
O
AG
REE
STR
ON
GLY
AG
REE
33. Most people speak up if they have an opinion or idea to offer.
34. We give all promising ideas thorough consideration, no matter whom they come from.
35. We make a point of not structuring some of our meetings because it helps us think more creatively about problem solving.
36. Involving our customers in the process of creating and developing new products and services is a well-established practice in our organisation.
37. People would describe our organisation as flexible rather than rigid.
38. Our workspace is designed to promote the flow of ideas between work groups.
39. People in our organisation can use the information they get to improve their work.
40. We use approaches that people would call playful as part of our problem-solving process.
41. We actively collaborate with other spheres of government when we need information.
42. We treat information as an open resource that flows freely to all corners of our organisation.
43. We value the contribution of ideas of everyone in our organisation.
44. We often meet away from our offices in relaxed settings to discuss work-related issues.
45. The hierarchy in our organisation is not a barrier to the flow of ideas and information.
46. We routinely ask ourselves how we can leverage our knowledge into other areas.
47. Our IT systems connect us to information sources we need to do our work.
48. Our IT systems promote the formation of different networks of people.
49. Our managers include knowledge management in their business plans.
50. Our organisation treats people like assets rather than costs.
51. We find ourselves increasingly teaming up with other organisations in strategic networks or partnerships to bring innovative products/services to our customers.
52. We view information technology as a tool to help us get our work done.
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Knowledge Management Diagnostic
5
KNOWLEDGE MANAGEMENT DIAGNOSTIC
STR
ON
GLY
DIS
AG
REE
DIS
AG
REE
SO-S
O
AG
REE
STR
ON
GLY
AG
REE
53. People who leave the organisation are given the opportunity to document their tacit (stored in their head) knowledge.
54. We have a formal policy that ensures we share technology and ideas across unit or departmental border.
55. It is easy to retrieve documents from their electronic or physical storage spaces.
56. We apprentice our people to other organisations to determine if we need to acquire new skills or expertise
57. We form alliances with organisations that complement our skills sets as an alternative to doing everything ourselves.
58. We outsource skills and expertise that do not support our core competencies
59. Before people are retrenched, our organisation try to determine if their skills and expertise can be used elsewhere.
60. Most people in our organisation have access to a personal computer.
If you have any queries please contact: Nicolette Fielies Knowledge Management and E-Government Provincial Administration: Western Cape Tel: (021) 483 4141 Email: [email protected]
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APPENDIX 3 – Traditions of Western Epistemology
TRADITIONS OF WESTERN EPISTEMOLOGY
RATIONALISM EMPIRICISM
Knowledge can be obtained deductively by reasoning through mental constructs: concepts, Laws or theories, e.g. mathematics
A priori knowledge No need to justify by sensory experience
Knowledge can be obtained inductively from sensory experiences, e.g. experimental science.
No a priori knowledge Only source of knowledge is sensory
perception Plato: theory of "idea" or "form";
influenced by Socrates
Aristotle: "Idea" or "form" cannot be isolated from physical object
CONTINENTAL RATIONALISM BRITISH EMPIRICISM Rene Descartes: Ultimate truth - deduced onfrom the real existence of a 'thinking self'
John Locke: Only experience can provide the mind with ideas
Immanuel Kant: Transcendental Idealism Philosophy Knowledge only arises when both the logical thinking of rationalism and sensory experiences of empiricism work together.
Georg Hegel: Knowledge begins with sensory perception, which becomes more subjective and
rational through a dialectic purification of the senses, until the self-knowledge stage. Karl Marx: Perception is an interaction between the knower (subject) and the known (object)
In the pursuit of knowledge, both subject and object are in a continual and dialectic process of mutual adaptation.
PHENOMENOLOGY: Philosophical inquiry into the human consciousness of self and other objects. Knowledge is obtained through reflection. Edmund Hussert: Importance of conscious, direct experience Martin Heidigger: Being in the world and having to do with something
EXISTENTIALISM: Jean Paul Satre: If we want to know the world, we must act toward an end.
ANALYTICAL PHILOSOPHY: Ludwig Wiltgenstein: focus on language with which people describe phenomen
PRAGMATISM: American philosophical tradition William James John Dewey
SYNTHESIS
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An interactive relationship between human beings and the world by means of human action, experiment and experience.
JAPANESE INTELLECTUAL TRADITION: Buddhism, Confucianism Oneness of humanity and nature Oneness of body and mind Oneness of self and other
SCIENTIFIC VIEW OF KNOWLEDGE HUMANISTIC VIEW OF KNOWLEDGE Frederick Taylor (1911) Scientific Management: formalises
worker’s experience and tacit skills into objective and scientific knowledge
Mechanistic rationality
George Mayo (1920/30s) “Hawthorn effects”- Social factors
and interpersonal skills improved productivity
Human factors
CHESTER BARNARD: (1930s)
• Knowledge consists of logical, linguistic content, and behavioural non-linguistic. • Leaders create values, beliefs and ideas to maintain the knowledge system. • Importance of behavioural knowledge in management processes
HERBERT SIMON • 1945- Barnard was criticised for
pre-occupation with strategic factors.
• View of organisation as an “information processing machine”
• Formalised information and knowledge by disregarding behavioural knowledge.
GARBAGE CAN MODEL • Cohen, March and Olsen (1972) • Irrational and ambiguous nature of
human problem-solving and decision-making
SENSEMAKING • Karl Weick (1969) • “Reality is an on-going accomplishment
that emerges from efforts to create order and make retrospective sense of what occurs”
SCIENCE OF STRATEGY • Boston Consulting Group (1960s) • Similar to Taylorism • Business strategy concerned with
total cost • Strategy planning techniques
PIMS project
ORGANISATIONAL CULTURE • Schein (1985): sharing of values • Viewed the organisation as a shared
meaning system.
SYNTHESIS
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• Michael Porter – Five Forces Model
SYNTHESIS OF SCIENTIFIC AND HUMANISTIC APPROACHES
KNOWLEDGE SOCIETY
ORGANISATIONAL LEARNING
RESOURCE-BASED VIEW TO STRATEGY
Peter Drucker (1960s) Knowledge work/workers
1990s - Most important challenge – to build systematic practices for managing self –transformation
Organisations abandon the obsolete knowledge and learn to create new knowledge
Recognise the importance of tacit knowledge (apprenticeship and experience)
Argyrise & Schon (1978) Single and double loop
learning Peter Senge – adaptive
and generative learning 5 disciplines Systems thinking Personal mastery Mental models Shared vision Team learning
(Trying to overcome Cartesian Dualism)
Competencies, capabilities, skills or strategic assets as source of strategic competitive advantage
Rooted in Edith Penrose (1959 – Theory of the Firm)
Prahalad and Hamel (1990) - core competence
Teece, Pisano, Shuen (1991) – dynamic capabilities
Stalk, Evans, Shulman (1992) – capabilities based competition
Heterogeneity – unique cluster of resources and capabilities
Internal resource focus rather than external industry focus.
SYNTHESIS
APPENDIX 2 – The Western Cape Provincial Government’s Policy Objectives
Provincial Vision
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PPG 5 To empower the poor people of our Province through the provision of basic services.
Vision for the Western Cape Economy
The Learning Cape
The Cape of Good Hope for all
PPG 1 To contribute to the creation of a safer environment for our people. PPG 2 To create an enabling environment for economic growth.
PPG 4 To contain the spread of HIV AIDS and Tuberculosis.PPG 3 To prepare the people of the Western Cape for the knowledge economy of the 21st century.
Provincial Policy Goals
The improvement of the quality of life for all the people of the Province
The Enterprising Cape The International Cape
PPG 6 To improve the quality and accessibility of services provided by the Provincial Government. PPG 7 To protect, enhance and promote the total environment for the optimal development of our people. PPG 8 To maintain and improve the physical infrastructure required for the development of this Province.
PPG 9 To bind the Province, as the gateway to Africa, ever stronger to the country and the continent.
To make the Western Cape the most successful, innovative and competitive economic region in Southern Africa, with a world renowned reputation for its knowledge base, the creativity and enterprise of its people, the attractions of its
infrastructure and natural environment, and the quality of life of all of those who live and work here.
The Four Pillars supporting the vision for the Western Cape Economy
Strategic Imperatives
World class infrastructure and business environment
One of the most attractive places for investors and touristsStrategy for export promotion
Quality marketing
Putting the Western Cape in the fast lane of the information and communication super-highway
Policy objectives
Selected Strategic Initiatives
Use ICT revolution to enable everyone to access and use information to maximum benefit and to conduct business more cost effectively
Use ICT to improve the efficient and effective delivery of government services
Raise awareness on the vital role of Information and Communications Technology (ICT) in the economy
Develop and expand ICT infrastructure to world class standard
Establish an electronic precint in the Cape Town CBDEstablish the CAPE GATEWAY single access point to
government information resources and servicesCreate the CAPE - ON - LINE network of websites
Integrate with existing websites
Promote co-operation and collaboration in the development and operation of ICT between all sectors
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APPENDIX 1 – The South African Government’s Support for ICT
Mbeki all ears as world’s IT gurus gather to lend Africa support source: Sunday Times, Business Times section, 28 October, 2001 State ‘can use IT to uplift quality of life’ source: Business Day, 23 October, 2001
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APPENDIX 17 Guideline for Creating a Knowledge Asset The following guideline was adapted with permission from Carol Gorelick of Solutions for Information and Management Services, New York. 1) Define Scope
a. What is the subject? What will it cover? It needs to cover a specific and not
too broad function or business activity.
b. What will the content include?
c. What do you need to know to do your business (job)?
d. What is the biggest issue facing you?
e. Do you need to know processes, techniques, people, or reasons for doing
something, legal or regulatory requirements?
f. Do you need to know who, what, why and/or how?
g. Why are you doing this? What can or would happen if you DO NOT capture
the knowledge?
2) Create a Community of Practice
The COP plays several roles:
a. Takes ownership of the knowledge asset.
b. Source of the knowledge
c. Users of knowledge in the future
d. People who ensure the information/knowledge is accurate and up to date
3) Collect existing material
Interviews with key people
Important documents and artefacts
Lessons learned
4) Describe the context for the knowledge asset
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Background
Purpose
Benefits
Relevance
5) Develop general practices describing your job or the process you are addressing
Go through the history (the records of previous work) and/or people’s
experience and try to find the common knowledge. Different people will have
seen certain approaches work at certain times. Are there general guidelines
that you can derive? This is a creativity and value-adding step but it is a
challenge. You are taking what may be a mass of material and distilling it to
something useful to anyone interested in this function.
6) Develop a checklist for a user of the knowledge asset
What questions should the user be asking you?
What information does the user need to gather?
What steps does the user need to take?
Create the checklist either as a list of questions, a template describing steps
(e.g., how to write project descriptions), or one-line recommendations (e.g.,
safety tips).
Add stories, quotes and examples to the checklist to make it come alive.
Include a library of related documents and links for users to get more detailed
information. Include pictures, if applicable. Include a list of people who have
more knowledge and can be a source of advice to users. Include contact
information, a picture and a link to a personal web page for each.
7) Provide information about the KA owner
The person who wrote the practices
Include contact information, photo and email link. You can use the label
“Who can help?”
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8) Provide date when KA was created or updated
9) Validate the content with community members.
Does it reflect knowledge and experience?
Will it be useful to a new user?
Do you have anything to add?
10) Put the knowledge Asset into an appropriate medium or vehicle for distribution
Corporate Website
Local Website
11) Launch the KA
12) Keep it alive and update it
Encourage feedback from users.
Ensure there is an active owner.
13) Using trained facilitators to create the KA