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Role of Knowledge Management in a Holistic View of Quality
Shahnawaz Muhammed
2732 Kendale Dr Apt 203
Toledo, OH 43606
419-474-9034 (H)
Shahnawaz Muhammed (B. Tech, Calicut University, India) is currently a Ph.D.
candidate in Manufacturing Management and Engineering at the University of Toledo,
Toledo, Ohio.
Toledo Chapter,
APICS ID # 1524372
Full-Time Graduate
Parag Dhumal
2920 Kendale Dr Apt 201
Toledo, OH 43606
419-530-4056(O)
Parag Dhumal (B.E in Industrial Engineering, Nagpur University, India; MS in Industrial
Engineering, University of Toledo, Toledo, Ohio) is currently a Ph.D. candidate in
Manufacturing Management and Engineering at the University of Toledo, Toledo, Ohio.
Toledo Chapter,
APICS ID # 1328088
Full-Time Graduate
2
Role of Knowledge Management in a Holistic View of Quality
ABSTRACT
This paper discuses the need for a holistic quality and develops a framework for
such a holistic perspective of quality. Further, a model of holistic quality enabled by
knowledge management is presented. Its implications are discusses and future endeavors
needed in this direction are suggested.
INTRODUCTION
Quality has become an all-encompassing concept rather than being limited to the
realm of operations for successful organizations (3). It is no more about just reducing
waste in the process of manufacturing a product or service; rather every single activity in
an organization is coming under the scrutiny of quality. And such a shift in the approach
towards quality is happening due to the technological feasibility and ability of the
information systems that is enabling individuals to map their activities to what is
expected by the end-user. This new approach in organizations about quality is calling for
a rethinking of how quality is viewed. Quality is to be no more restricted to certain
attributes of a product or a service; rather it has to be seen in the context of other
organizational activities and in the perceptions of the end-user, and this calls for viewing
quality with a holistic perspective.
Traditionally quality literature has been dominated by the varied approaches and
techniques for meeting or exceeding the level of quality expected by the customer (12,
21, 8, 15). But the major underlying thrust of all quality endeavors are based on the
3
perception that quality is a dynamic concept and a continuous effort in improving the
quality is necessary. Though much of these efforts are based on the philosophy of
continuous improvement and TQM, mixed results are reported about the impact of such
quality programs in organizations. Such ambiguous results are the result of either
halfhearted implementations of such programs or implementations that lost its bigger
purpose in the finer details and techniques of such implementations. For example the
TQM programs though supposedly being a “Total” quality management program, many
organizations where content with the totality of merely involving all individuals directly
related to production in their program. While narrower focuses such as the one above,
and the ones much narrower than that is desirable and necessary in some circumstances,
when a whole quality program gets limited to such narrow focuses it will be at the
expense of attaining less than desirable results at the organizational level.
After a short discussion of quality and the need for a holistic perspective of
quality, we identify the key dimensions of quality within an organization. How using
these dimensions it is possible to have a holistic perspective and at the same time
organizations can focus on improving their operational efficiencies will be discussed.
Some tools and techniques that are available for such an implementation of quality is
touched upon and a model for holistic quality in organizations is proposed. Further, how
knowledge management enables such a perspective of quality and how it enables its
implementation in organizations are discussed, and a model involving these constructs is
presented. Finally the implications of such a perspective of quality are discussed to
conclude the paper.
4
PERSPECTIVES ON QUALITY
The dictionary definition of quality is: A characteristic or attribute of something;
property; a feature (Random House Unabridged Dictionary, 1993). Other definitions
include excellence and superiority. A business-oriented definition is “The extent to which
a product, service, or organization does what it is supposed to do- how closely and
reliably it satisfies the specification to which it is build” (5, p. 466). In a meta study of
quality, TQC and TQM, Kemper identifies six characteristics of quality as a process:
effectiveness, efficiency, leadership, management, assertiveness and cooperativeness
(22).
Definitions of quality from some of the quality gurus include:
• Fitness for use (20)
• As a way of life (12)
• Conformance to requirements (9)
• (minimum) loss imparted by the product to society from the time the product is
shipped
• A way of managing the organization (15)
• Correcting and preventing loss (Hoshin)
• Meeting customers’ (agreed) requirements, formal and informal, at the lowest
cost, and first time every time (17)
Such wealth of perceptions about quality indicates the importance and the
richness of quality in the literature, in the minds of individuals, and in the practical world.
Organizations are made or broken because of their perception towards quality. While
5
organizations can find niches by focusing on certain product qualities (18), if they lose
focus of the market dynamics and their organizational strengths and weaknesses they are
bound to lose in the long run except by pure luck. If quality is such an important factor in
organizations and their focus needs to be increasingly broader to understand the
implications of their actions, then we require a holistic perspective of quality too.
But first we need to have a clear concept of quality. Though definitions abound, what
really is quality? In casual usage we see there are two major views of quality. One that
views quality as a characteristic or attribute of something- as in the case when we refer to
“what are the qualities of a hard working person?” we can put foreword some attributes
in this regard such as persistence, commitment, etc. and there is a level of persistence and
commitment that is implied in such a description. The other view of quality is that of
excellence or superiority. By this we mean quality in the sense when we use statements
such as “this is a quality pen”. What this statement implies is that this pen has certain
attributes that we see has having high level of value, such as its smoothness in writing or
the length it can be written without a refill or some such attribute. So in a sense both the
usages of quality are referring to the same concept and can be generalized for a definition
of quality:
“Quality is the level of attributes of a product that the customer values (or the customer
can be made to be interested in) and which a provider (manufacturer) is able to or can
affect.”
In the above definition, product is used as a very general term. For practical
purposes, quality will have to be limited to such values and attributes of products in
which the customer is interested in and which the provider is able to provide. For
6
example if a customer demands a pure gold ring green in color, it is not possible to meet
such a demand of the customer due to the inherent nature of gold. It either has to be a
pure gold ring in gold color or an impure gold ring with green color, such as when it is
coated or mixed with other elements. And it doesn’t make sense to drive the organization
in pursuit of a green colored pure gold ring. So the customers’ perception, the
organizational capabilities, and the nature of environment are tightly linked to the
concept of quality. Though most quality decisions are not so simple to discern, the
concept of quality as put foreword earlier show us the limits of quality that the
organizations need to be aware. Other more widely used definitions of quality in the
literature can be seen as definitions or concepts focused on certain aspects of the process
of attaining such a level of values of attributes of something.
NEED FOR A HOLISTIC PERSPECTIVE IN QUALITY
“...many companies are failing to shift their focus beyond product and process quality
into the arena of quality of relationships, working life, learning and thinking and that
more holistic and people-centered approaches are needed.” (6, p.301)
Earlier works on quality had focused mainly on methodological and philosophical
issues of quality. Methodological issues such as application of statistical techniques to
production with tools such as SPC and SQC, and philosophical approaches such as
continuous improvement and TQM have come a long way to include many such tools and
approaches. The real improvement in quality comes from the understanding of what the
quality program is implemented on and for what purpose (6). Many applications rather
than focused on broader issues such as customer satisfaction, are concerned with
7
squeezing more out of what exists, working people harder, or downsizing. A short-term
preoccupation especially when the organization’s survival is at stake is an easy trap to fall
into. Such a concentration can be many times self-defeating and what is actually needed
is a reevaluation of the purposes of the organizational actions (6). What often lacks are
the will, vision and purpose to ask fundamental questions and to relate the organizational
quality initiatives with the broader organizational goals. If the organizational activities
are not properly mapped to what customer values, most quality endeavors are bound to
fail and hence, more attention needs to be devoted to manage customer value and for
delivering what customers actually wants.
Since there is no single recipe for achieving quality (12), a framework to
understand the bigger picture is helpful when focusing on the implementation details.
Such a framework should try to capture the concept of quality in the broadest sense. A
holistic perspective of quality helps in this regard. As the organizations become more and
more connected between internal entities and the external environment, it becomes easier
for the information flow, and for understanding the implications of individual actions and
its impact on the final customer value. Such a development can greatly increase the
breadth with which quality can be perceived.
Dimensions of Holistic Quality
Much of the earlier work that focused on the methodological and philosophical
issues in quality can later be seen to branching into three areas at least at a conceptual
level. This related but distinct branching can be seen as the areas of product/service
quality, process quality and organizational quality. Most of the tools available in the
8
quality area can be seen to be related to control and monitoring of the product/service
quality. Process quality focus is a more recent development and involves programs such
the six-sigma initiatives. A focus of quality centered on the whole of the organizational
activities is still a more recent approach and is evident in initiatives such as that is seen in
the evolving criteria’s for Malcolm Baldrige National Quality Awards, European Quality
Model and the Deming prize criteria’s.
As wider and wider perspectives on quality emerge, we see that each approach
has its own merits and are interrelated. An improvement in process quality is attained
when waste is reduced and the process itself is streamlined to produce products that is of
high quality and is sensitive to the customers changing needs (23). Such a process
improvement should improve the organizational processes by reducing the waste within
the processes and reducing the waste in the output of those processes, ultimately adding
to the bottom line of the organization and hence improving its quality at least in some
dimensions. Such a relationship between the distinct yet related quality perspectives are
shown in Figure 1 to provide a holistic view of the quality. Similar holistic perspective of
quality can be seen in case based studies in the service industry (25).
Another aspect of the increasing breadth of quality perspective is due to the nature
of changing work and technological factors. Increasing levels of information and the
interconnectivity possible in today’s organizational environment has enabled
organizations to map their micro level activities to the macro level goals and to goals
further away in their value chain. If we look at the evolution of the quality programs from
quality inspection, planning, management, TQM, six-sigma, and beyond, a trend that is
evident is the increasing amount of information used as the programs have evolved.
9
Much research relating the need for a learning organization for holistic quality efforts can
be seen in the existing literature (31, 46, 26, 13). But a real improvement in any of these
programs comes from the proper application of critical information by individuals in their
work and how they translate their knowledge into competitiveness for their firms.
KNOWLEDGE
It is appropriate that a theory related to KM should start with a discussion of
knowledge itself. Most widely used definition of knowledge is that of one that follows
from the hierarchical view of data to knowledge. From this perspective, data is perceived
as just raw numbers and facts, information as processed data and knowledge as the valid
or verified information. This view has had its critics, who argue that the hierarchy is
actually reverse, where even in the collection or identification of elementary data, one has
to be influenced by prior knowledge or thought, and this knowledge when articulated
becomes information, and articulated information when represented in a standard form
becomes data (45,1). Another prevalent view is that of knowledge as justified true belief,
based on the philosophical works of Plato, Descartes, Locke and Kant (33,19).
Process Quality
Product Quality
Organizational
Quality
FIGURE 1: Holistic Perspective of Quality
10
Knowledge is also perceived as a state of mind, as an object (4, 49), as process (4, 10,
49), as access to information and as a capability or capacity for interpreting information
and for decision-making based on such interpretation (47). A detailed analysis of the
above perspectives can also be found in Alavi and Leidner (1).
Such varied views of knowledge have different implications for KM systems (1).
Because of perspective changes the emphasis on what has to be managed will change
from artifacts to information systems, and to social systems. But a general understanding
is that, though there is a great deal of emphasis on differentiating between what data,
information and knowledge is, human element is the most critical part of the KM systems
since only the information that can be actively processed in the mind as reflection,
enlightenment, or learning can be used as a competitive tool for effective action (1).
Other similar views of knowledge are as a dynamic human process (32), as expert insight
(10), personal knowledge (35), knowledge as intertwined with human activity and
experience (30).
Such a central role of the individual in exploiting the power of knowledge for
effective action needs to put the spotlight on the individual in developing a theory of KM
in any context. This is not to underplay the relevance of technology in the management of
knowledge, because many aspects of the knowledge capture, organization and sharing
has been made possible by technological developments (14, 42). But the current trend of
equating a technological tool to KM would be a mistake without considering the human
aspect in the equation (30). As Davenport suggested “effective management of
knowledge requires hybrid solutions of people and technology” [11, p.188].
11
To understand what knowledge is, it is easier to understand it in relation to data,
facts and information. Hence, the following definitions are adopted for data, facts,
information and knowledge:
Data: States, properties or events of things without relation to one another.
Facts: states, properties or events of things in relation to one another in absolute terms.
Information: perceived states, properties or events of things in relation to one another.
Knowledge: information that has been made aware, comprehended or realized.
In this continuum, wisdom can be seen as the extent of knowledge that an individual
possesses (Figure 2).
In other words, knowledge is information that is internalized by the individual to
provide a capability to potentially act upon a situation. This implies that the knowledge is
a very personalized phenomenon, and that same data could provide varying potential for
action for different individuals based upon their own understanding of the data. It also
means that the depth and breadth of knowledge a piece of data provides depends on the
context the individual places that piece of data in his mental schemata and how it is
linked to other information in the individuals mental map.
An important taxonomy of knowledge that can be seen throughout the literature is
that of a tacit and explicit dimension (35, 36, 33, 32, 1, 11). Though there has been much
research that has tried to categorized the knowledge into tacit and explicit dimension and
understand how knowledge can be converted from tacit to explicit and vice versa (33,1),
Polanyi admits that deprived of its tacit coefficients all explicit knowledge are
meaningless (36). Though this may represent an extreme view, there is much truth in it if
we accept that knowledge is the individuals’ internalized view of information. Because,
12
any information that is comprehended by the mind means it has to be related to the
already existing information, and that, more often differs from what is in the mind of one
individual to what is in the mind of another. Thus it may be difficult, if not impossible to
make explicit all the relationship that a person has regarding some information in most
cases. But for practical purposes it may be possible to make explicit a limited amount of
information so as to achieve a limited amount of certainty to conduct a task.
KNOWLEDGE MANAGEMENT
Traditionally, KM has been associated with the processes of creating, capturing,
organizing, sharing, accessing and using knowledge in one form of label or other (43,
41,1, 24). As we have seen earlier, though an attempt could be made to categorize
knowledge into tacit or explicit forms, true knowledge is non-codified and explicit
knowledge without its tacit coefficients is meaningless (36). This dilemma arises from
the fact that human element cannot be separated from knowledge (29, 10). Then,
managing knowledge implies, from an organizations perspective, managing resources in
facilitating individuals to create, capture, organize, share, access and use the knowledge
centered on a purpose. Technology is certainly a factor that has tremendously increased
the capability of humans to perform the different processes in managing the knowledge.
Such a process of managing knowledge, from an individual’s perspective can be viewed
in a framework as shown in the Figure 2.
13
A MODEL OF KNOWLEDGE MANAGEMENT AND HOLISTIC QUALITY
Since knowledge is information that is comprehended for a purposeful action,
both the factors, that is, right kind of information and individuals to comprehend the
information for a rightful action is needed in the various processes associated with
knowledge management. As we try to conceptualize the different quality efforts into a
frame work of information and people dependence (Figure 3), we see that broader the
quality program tends to be more it is dependent on both these factors, that is, both the
information and its proper application by the people tends to become critical for its
success. Similar approaches trying to link total quality to organizational learning and
hence making the approaches to quality more organismic and holistic can be seen in
McAdam et al. (28).
Capture
Create
Share
Use
Access Purpose
Wisdom
FIGURE 2: Knowledge Management Process
14
Another issue, as the quality program becomes broader, is how operationally such
a broad focus can be maintained while trying to implement it at the micro level. This is
not a new problem and many tools and techniques are available in the literature and in
practice. For example in strategic quality management (SQM) initiatives, techniques such
as Hoshin Kanri (Hoshin planning) are used (44). In six-sigma implementations seven
basic tools and seven management tools are most often used. Similar concepts can be
seen in the IS literature too, for example Malone talks about current day managers whom
he calls cyber-cowboys, where they are highly interconnected and make decisions locally
based on the global information that has been made available due to their
interconnectivity (27).
Hoshin Kanri is a method of linking strategic objectives to the operational level
activities it “translates the strategic intent into the required day-to-day behavior (2, p.18).
It is widely used in Japanese industry and in many successful American corporations
Quality mgmt
Quality circles
Quality Inspection
Holistic Quality
TQM
Six-sigma
Quality planning
Inform
ation dependence
People dependence
FIGURE 3: Quality Approaches in an Information and People Dependence
Framework.
15
such as Intel, HP, P&G, Texas Instrument, and Florida Power & Light. Major principles
of Hoshin Kanri are:
• Aligning the organizational goals with environmental changes
• Focusing on strategic gaps
• Working with others to develop plans to close the gap
• Specifying methods and measures to achieve strategic objectives
• Making cause-effect linkages visible, and
• Continuously improving the planning process
In six-sigma implementation, the seven basic tools represent tools to deal with more
qualitative data and are perceived to be helpful in the daily operations of an organization.
While, the seven management tools have a broader focus and are perceived to be tools for
management and planning (38). But in all of these approaches and techniques what
makes a competitive difference for the organization is, what information is available and
how it is used by the individuals to affect product, process and organizational quality,
FIGURE 4: Role of KM in a Holistic Perspective of Quality.
Process
Quality
Product
Quality
Organizational
Quality
Knowledge
Management
16
which is a really a question of how knowledge is managed in the organization. From such
a perspective the extent of knowledge management could be expected to positively
impact the product, process, and organizational quality in an organization (Figure 4). A
conceptual model of knowledge management in holistic quality is proposed by mapping
these relations onto the holistic quality model proposed earlier.
IMPLICATION AND CONCLUSION
The conceptual model proposed in this paper is a call to view quality in a broader
context and approach it from a more comprehensive perspective. Knowledge
management is expected to be a major factor in the successful implementation of such a
holistic quality perspective. Further investigation is needed to develop appropriate
measures for the proposed framework, and empirical support would strengthen such a
holistic view and the role of knowledge management in it. Further, extending the
framework to include entities beyond the organizational limits may be important as
organizations become more collaborative and organizational boundaries become fuzzier
(40).
The existing measures relevant to each of these constructs could be used as a basis
of initial investigations. For example many frameworks and measures exist for the
product (18) and service quality (34). Others have also proposed integrative
product/service measure (7) that could be used as a basis for the product quality in this
model. For process quality, qualitative measures such as defects per million observations
(DPMO) are widely used in initiatives such as six-sigma. Other multidimensional
perceptual measures may be developed for the current mode. Organizational quality has
17
to be multidimensional due its broad focus, and measures that is based on the Malcolm
Baldrige Award or the European Quality Award, could be used. For example, Rao et al.
have proposed a measure for international quality management, which is based on the
Malcolm Baldrige Award criteria that could be used for the organizational quality (39).
Measures related to the extent of knowledge management should capture the different
KM processes such as the extent of information use, sharing, capture, creation and access
and should also consider technological and human aspect of knowledge.
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