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Government Foresight: Towards a Maturity Index for Abu Dhabi Police, UAE Research Proposal for DBA Thesis UoB: 12017070 _Research ProposalPage 1

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Page 1: €¦  · Web viewUoB: 12017070 _Research ProposalPage 20. Government Foresight: Towards a Maturity . I. ndex. for Abu Dhabi Police, UAE. Research Proposal for DBA Thesis

Government Foresight:

Towards a Maturity Index for Abu Dhabi Police, UAE

Research Proposal for DBA Thesis

Sulaiman Alkaabi

Cohort 13

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Table of Contents

1. Introduction.................................................................................................................3

1.1 Importance of the Study....................................................................................3

1.2 Background........................................................................................................3

1.3 Aim and Objectives...........................................................................................4

2. Literature Review........................................................................................................5

2.1 Strategic Foresight Concept..............................................................................6

2.2 Strategic Foresight in the Government..............................................................6

2.3 Practicing Strategic Foresight in the Government..............................................7

3. Research Questions and Hypotheses.........................................................................7

4. Conceptual Model........................................................................................................8

4.1 Independent Variables......................................................................................8

4.1.1 Demographic.........................................................................................8

4.1.2 Administrative.....................................................................................10

4.1.3 Awareness...........................................................................................11

4.1.4 Foresight Framework Understanding.................................................12

5. Methodology...............................................................................................................14

5.1 Data Collection Instruments............................................................................14

5.2 Population and Sample....................................................................................15

5.3 Limits to Generalisation..................................................................................15

5.4 Data Analysis...................................................................................................15

4.4.1 Statistical Techniques.......................................................................16

4.4.2 Validity and Reliability....................................................................16

6. Pilot Testing and Measuring Validity......................................................................17

7. Ethical Issues..............................................................................................................17

8. Contributions.............................................................................................................18

9. Summary....................................................................................................................18

10. Research Time Plan.................................................................................................19

References......................................................................................................................20

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1. Introduction

Strategic foresight is an action-oriented instrument for policy-making aimed at

supporting strategic thinking and decision-making by considering alternative futures that

might affect today’s decisions (Voros, 2003). It is characterised by a long-term,

interdisciplinary, participative, and communicative perspective (Habegger, 2010). Rohrbeck

(2010) identified strategic foresight attempts that enable organisations to detect changes

early, interpret the consequences, and respond quickly and effectively to emerging threats and

opportunities. Rohrbeck and Schwarz (2013) further defined several key drivers suggesting

that strategic foresight should attract government policymakers and help them through an

enhanced capacity to perceive change, interpret and respond to change, propose responses,

influence other actors, and promote organisational learning. Strategic foresight programmes

are often motivated by the need to understand the potential implications of emerging

technological trajectories and overcome any limits to preparing for an unknown future

(Tsoukas & Shepherd, 2004). Vecchiato and Roveda (2010) also suggested that uncertainty is

one of the main generic motivations for conducting strategic foresight work.

The term “foresight” emerged in the late 1980s to describe activities informing

decision-makers about improving the inputs for an organisation’s long-term future (Keenan,

Abbott, Scapolo, & Zappacosta, 2003). Dreyer and Stang (2013) showed that various

foresight methodologies, tools, and techniques—both quantitative and qualitative—have been

used, individually or in combination, to enhance the capacity of systematic and rigorous

foresight. Foresight commonly uses practices such as horizon scanning and trend analysis.

1.1 Importance of the Study

This study evaluates government foresight practices in the UAE and develops

appropriate frameworks for the Abu Dhabi Police (ADP) to enhance and increase their

foresight maturity and practices. It is one of few studies to evaluate foresight practices and

determinants in the Arab region and the first to evaluate the applicability of this model in a

government entity.

1.2 Background

Current usage of foresight techniques is limited (Jissink, Huizingh, & Rohrbeck,

2014), and existing literature is fragmented and not appropriately integrated (Iden, Methlie, &

Christensen, 2017), with the exception of Grim (2009). The FFM model (questionnaire) was

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designed to evaluate private, not governmental organisations, but it has not been translated

into other languages (except Polish by Kononiuk & Sacio-Szymańska, 2015); thus, it is not

suitable for application in the UAE, where Arabic is the native language, and many

government leaders do not speak English. Grim’s (2009) model does not give participants

additional options in the questionnaire as it identifies specific possible answers from which to

choose. The current FFM questionnaire (Grim, 2009) is limited to only one person familiar

with the organisation’s strategies and projects; it does not include others, regardless of their

jobs at the organisation. The scientific foresight terms used in the FFM questionnaire (e.g.,

weak signals, wild card, horizon scanning) are new in the Arab world and thus

incomprehensible to most employees in the UAE, which will lead to incorrect and inaccurate

answers from participants. The questionnaire is difficult to understand in general and contains

a large number of questions that are general, do not apply to the Arab society environment,

and are not in line with the state’s governmental institutions.

1.3 Aim and Objectives

The main aim of this study is to develop an Arabic version of a foresight maturity

index to evaluate foresight maturity among ADP police, considering the most important

disciplines—namely, leadership, framing, scanning, futuring, visioning, designing, and

adopting (Hines & Bishop, 2006, 2013). The major objectives of this study are to:

evaluate existing literature regarding foresight in the government by conducting a

literature review;

develop a foresight maturity index to measure foresight capabilities and practices in

government organisations;

study the relationship between foresight maturity and familiarity of foresight in

different ADP departments;

evaluate the foresight maturity level and application of foresight in different ADP

departments; and

examine the influence of various factors on foresight maturity among the ADP and

evaluate the strength of association for each independent factor.

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2. Literature Review

The literature frequently depicts anticipation as an analytic and strategic process

(Cunha, Palma, & Costa, 2006), where the spotlight is on techniques, methodologies, or

frameworks created and applied in different settings (sectorial, organisational, national, and

regional), contingent upon the context of a particular anticipation exercise. In this manner,

strategic anticipation/foresight is a field experiencing critical change, as associations centre

around the present by creating flexible and intelligent organisational procedures overseen by

outward-looking supervisors who search for novel arrangements attempting to escape from

the perpetuating acclimated patterns of thinking and acting (Cunha et al., 2006). Major, Asch,

and Cordey-Hayes (2001) stated that foresight has greatly advanced separate from the

literature on business systems. Vecchiato and Roveda (2010) and Major et al. (2001)

emphasised foresight’s relationship to the core competence perspective of procedure.

Prahalad and Hamel (1990) identified how small organisations acquire and learn new

information to evaluate their insights into the national UK foresight programme and to assess

human capability concepts of foresight. They concluded that individual administrators play a

significant role in foresight, claiming that their managerial attitudes towards the future are the

incentive for organisations’ foreknowledge feelings. Bootz (2010) expressly related

organisational learning with organisational foresight. Bootz’s poll highlighted that the effect

of foreknowledge in terms of organisational learning is based on the reasoning qualities of the

foresight attitude, which encourages the questioning of individual demonstrations. Bootz’s

(2010) investigation underscored that lone works concentrating on arranging key situations

(Shell’s approach) manage organisational learning in an unambiguous way.

The aim of the current study is based on Kononiuk’s (2014) research results from a

sample of 134 companies from the Podlaskie region in Poland. The research was conducted

to assess the familiarity and application of foresight research as well as foresight maturity

with reference to the components Grim (2009) identified. Kononiuk and Sacio-Szymańska

(2015) assessed the foresight maturity of companies based in the Podlaskie province, one of

the least developed regions in Europe. Their survey research was preceded by a bibliometric

analysis and a literature review to examine current tendencies in foresight research in

organisations. Their model, in addition to traditionally associated foresight components such

as environmental scanning, considered such aspects as leadership, collective vision building,

and planning. The pilot survey found that the companies had low foresight maturity levels;

hence, based on their literature review, the researchers suggested two management concepts

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to increase companies’ foresight maturity levels. Kononiuk and Sacio-Szymańska (2015)

confirmed that individuals’ roles are pivotal to building a company’s competitive advantage

based on foresight as one of its core competences. Obviously, this does not mean that

company managers’ or staff’s intrinsic motivation will suffice to implement a successful

foresight orientation paradigm in an organisation.

2.1 Strategic Foresight Concept

Strategic foresight is characterised by a long-term, interdisciplinary, participative, and

communicative perspective that attempts to enable the organisation to detect possible changes

early, predict and interpret consequences, and respond quickly and effectively to emerging

threats and opportunities (Habegger, 2010; Rohrbeck, 2010). The concept of strategic

foresight applies to policing because it could be used to determine the strategies that could be

implemented in practice to promote efficacy and safety before an event occurs.

2.2 Strategic Foresight in the Government

Several drivers encourage policymakers’ application of strategic foresight as part of

regular governmental operations. First, almost all organisations, including government

agencies, continue to face unprecedented interdependencies among the social, technological,

environmental, economic, and political (STEEP) changes that influence the organisational

environment (Constanzo, 2004). This helps policymakers acquire an enhanced capacity to

perceive, change, interpret, and respond to change and propose interventions to accomplish

the change and influence other actors (Rohrbeck & Schwarz, 2013).

Second, the use of strategic foresight allows for the greater use and expansion of

sophisticated technology on a global scale (Rogers, 2015). Strategic foresight programmes’

implementation is often motivated by the need to understand the potential implications of

emerging technological trajectories, which can enable organisations to surpass barriers

(Tsoukas & Shepherd, 2004).

A third factor motivating the enactment of strategic foresight is that these plans

account for uncertainty and its related risk (Vecchiato & Roveda, 2010). Events such as the

Al-Qaeda-led terrorist attacks of 11 September 2001 represent a failure to monitor critical

signs of danger that, if detected, could reduce harm and increase safety. Organisations aim to

mitigate the effects of these surprise events or avoid these events altogether (Kuosa, 2011).

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2.3 Practicing Strategic Foresight in the Government

Initially, most strategic foresight work focused on issues of national defence, security,

and intelligence, thereby incorporating a strong military and foreign policy orientation. Many

governments subsequently realised that a single-issue focus is not sufficient for dealing with

emerging threats and opportunities (Habegger, 2010). Hence, the scope of strategic foresight

activity expanded to include most domestic as well as security issues. Gradually, the study

and practice of future studies—investigations to predict and prepare for future outcomes—

spread across the globe. Academics use the term “future studies” to describe this process

whereas the practitioner community uses “foresight” to refer to the same subject.

3. Research Questions and Hypotheses

This study aims to answer the following research question: To what extent can a

foresight maturity index assess maturity among the employees in Abu Dhabi Police, UAE?

The research question will be addressed by testing the following hypotheses:

Hypothesis 1: The ADP’s foresight maturity level is limited.

Hypothesis 2: Knowledge of foresight is limited in ADP departments.

Hypothesis 3: Participants’ personal characteristics affect their responses on the

development of foresight maturity in the ADP.

Hypothesis 4: The ADP’s current status of strategic foresight does not have a positive

impact on the development of its foresight maturity.

Hypothesis 5: A positive relationship exists between foresight maturity and the

familiarity of foresight in the organisation.

Hypothesis 6: A positive relationship exists between the current training programmes

delivered in the ADP and the performance development and familiarity of foresight.

Hypothesis 7: A positive relationship exists between the leadership’s support of

foresight and the development of foresight maturity in the ADP.

Hypothesis 8: A positive relationship exists between the leadership’s awareness of

foresight and the foresight maturity in the ADP.

Hypothesis 9: A positive relationship exists between the understanding of the

foresight framework and the foresight maturity in the ADP.

4. Conceptual Model

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This research will examine both independent and dependent variables, with the major

concern being the dependent variable of “foresight maturity”.

4.1 Independent Variables

4.1.1 Demographic

The demographic independent variables include age, work experience, academic

qualification, and the administrative level. To date, several studies have addressed the

relationship between demographic characteristics and leadership behaviour, highlighting the

importance of demographic characteristics (Ibrahim et al., 2011; McMurray et al., 2013).

Education level is positively associated with receptivity to innovation (Bantel & Jackson,

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Figure 1: Conceptual model

Foresight Maturity

Foresight framework understanding

Framing, scanning, futuring, visioning, designing, adopting

AwarenessEmployees' familiarity with foresight, leadership's familiarity and support

AdministrativeToolkit, training programmes, future function or teamwork, financial support

DemographicAge, education level, work experience, administrative level

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1989; Finkelstein & Hambrick, 1996; Hambrick & Mason, 1984; Wiersema & Bantel, 1992)

and has the greatest influence on leadership behaviour (Alenazi, Muenjohn, & McMurray,

2017). Sebaa, Wallace, and Cornelius (2009) found that prospector managers have, on

average, higher educational status than defender managers, with alignment of several

demographic characteristics with strategic orientation leading to enhanced performance.

Age negatively correlates to receptivity to change (Wiersema & Bantel, 1992),

innovativeness and innovation (Bantel & Jackson, 1989), willingness to take risk (Hambrick

& Mason, 1984), and organisational growth (Ellis & Child, 1973). These advantages are

naturally inherent in corporate foresight.

Managerial characteristics and behaviour are also related to managerial behaviour and

tenure (Bantel & Jackson, 1989; Ellis & Child, 1973; Hambrick & Mason, 1984; Thomas et

al., 1991; Wiersema & Bantel, 1992). Hambrick and Mason (1984) argued that managers

who have long worked for one organisation tend to have limited perspectives and avoid

radical changes. Longer tenure is also associated with a conservative, more risk-averse

outlook (Ellis & Child, 1973). Meanwhile, short-tenured executives are more likely to pursue

prospector strategies (Thomas et al., 1991). Figure 2 shows the relationship between

demographic independent variables and the dependent variable.

Figure 2. Relationship between demographic independent variables and dependent variable

4.1.2 Administrative

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Foresight Maturity

Age

work experience

education

Administrative level

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The administrative independent variables comprise the approved foresight toolkit,

training programmes, future function or foresight team, and financial support for the future

foresight projects and programmes. Training has a positive and significant impact on

productivity (Colombo & Stanca, 2014). Within the police context, Garner (2005) found that

police training—involving unique experiences, new skills, and potentially important new

group influences—can have a powerful impact on attitudes. Direct experience, such as

intensive police training, can play a significant role in effecting attitude change. Attitudes are

reliable predictors of future behaviour (Azjen, 2005).

As effective training can help change people’s hearts and minds, it could be used to

address potential challenges deeply affecting foresight activities and diminishing its

applicable usage, such as cultural assumptions regarding foresight, the client’s state of mind,

and fear of engaging with the outside world and the future (Burt & van der Heijden, 2004).

Vecchiato and Roveda (2010) found that graduate training and certified practice are lacking

in the field of foresight; therefore, additional training opportunities in foresight methods and

approaches are necessary (Fuerth & Faber, 2012). According to Kononiuk and Sacio-

Szymańska (2015), business coaching would be instrumental in introducing a high-impact

learning culture model and attaining the desired level of foresight maturity. The coaching

method can increase effectiveness of entire companies, optimize decision-making processes,

and generate more effective change management (Besser & Wilson, 2012). Such advantages

interrelate with the concept of corporate foresight.

The availability of resources is a key variable to succeed with strategic foresight. In

their analysis of foresight activities in 23 developed and developing countries, Dreyer and

Stang (2013) showed that mostly developed countries engage in foresight. Countries with

large and well-resourced governments can pursue foresight activities (Havas et al., 2010),

which constitute only a small portion of total spending. Mietzner and Reger’s (2009) multiple

case study identified a lack of resources as a reason for not applying strategic foresight in

firms. Dreyer and Stang (2013) recommended developing consistent, long-term sources of

funding and cooperation with other agencies, both domestically and internationally. The size

of the government organisation also matters. Militaries, which often make up a large portion

of government budgets, are more likely to have established and well-resourced foresight

programmes (Dreyer & Stang, 2013).

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In addition, lacking a coherent code for the established and certified practice is one of

the reasons for not applying strategic foresight (Vecchiato & Roveda, 2010). Daheim and

Uerz (2008) and De Smedt, Borch, and Fuller (2013) argued that tailoring the method and

process to companies’ needs is one success factor for foresight. Therefore, the foresight

toolkit might be essential for achieving foresight maturity. Kononiuk and Sacio-Szymańska

(2015) called for more research to develop the foresight maturity model, which could involve

the means of equipping company employees with skills to search for, interpret, and use the

acquired futures knowledge through, for example, coaching methods and the use of already

available training foresight toolkits adapted to specific national or regional requirements.

Figure 3 shows the relationship between administrative independent variables and the

dependent variable.

Figure 3. Relationship between administrative independent variables and dependent variable

4.1.3 Awareness

The independent variables related to foresight awareness comprise staff familiarity

with future foresight and its programmes in the organisation and leadership familiarity with

foresight and the extent to which leaders support it. Kononiuk and Sacio-Szymańska (2015)

argued that individuals’ role is pivotal in building a company’s competitive advantage based

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Foresight Maturity

Foresight toolkit

Training programmes

Future function OR Team work

Financial support

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on foresight as one of its core competences. Therefore, senior management involvement and

support are crucial success factors in strategic foresight (e.g., Daheim & Uerz, 2006; Iden et

al., 2017; Nick, 2008). Without such support, as Fuerth and Faber (2012, p. 25)

acknowledged, there would be ‘little incentive within the bureaucracy to produce foresight

and integrate it with current analysis, and staff will revert to the routine of crisis

management’. In Singapore the policy elites appear to have created a political culture that

values and respects long-term, future-oriented thinking.

Müller (2006, cited by Daheim & Uerz, 2006) suggested that organisational and

political barriers are the biggest challenges to strategic foresight in corporations; however,

organisational and political barriers could be resolved by senior management support

(Wippel, 2014). Furthermore, senior management commitment also helps authorize and

legitimize strategic foresight results (Nick, 2008). As such, strategic foresight is often

considered an executive responsibility (Daheim & Uerz, 2006).

Figure 4. Relationship between awareness independent variables and dependent variable

4.1.4 Foresight Framework Understanding

Hines and Bishop (2006) defined six sequential categories that mirror the phases of

strategic foresight activity: framing, scanning, futuring and future alternatives, visioning,

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Foresight Maturity

Employees' Familiarity of

foresight

Leadership's familiarity

and support

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designing, and adopting. This framework focuses on those aspects of strategic foresight that

the Association of Professional Futurists’ (APF) Professional Development team deemed

most critical for success in 2004 and 2005. Based on this framework, Grim (2009) developed

the Foresight Maturity Model (FMM) by relying on six disciplines to define the best practices

for the foresight field: leadership, framing, scanning, forecasting, visioning, and planning.

Framing helps identify and solve the right challenge whereas scanning aims to develop a mix

of fundamental driving forces that suggest the most likely future. Forecasting aims at

generating both the baseline future (present trends continued) and alternative futures.

Visioning helps imagine the preferred future. Planning is bridge between the vision and

action; it contains guidelines that develop the strategy and options for carrying out the vision.

Lastly, acting helps organisations translate what they have learned about the futures into

managerial actions; therefore, acting contains guidelines communicating the results,

developing action agendas, and institutionalizing strategic thinking and intelligence systems

to influence the future. 

Figure 5. Relationship between foresight framework understanding independent variables and dependent variable

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Foresight Maturity

Framing

Scanning

Futuring

Visioning

Designing

Adopting

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5. Methodology

5.1 Data Collection Instruments

A quantitative approach will be used through self-completed questionnaires. Using

surveys will save the researcher’s and participants’ time and will enable the researcher to

obtain accurate, correct, and adequate answers. In addition, this approach will enable the

researcher to coordinate a larger sample size of study participants while ensuring that the

study remains well-organised (Smith, Thorpe, & Jackson, 2012).

The purpose of the survey is to evaluate the determinants of foresight maturity and

examine the potential relationship between foresight maturity and the ADP’s familiarity with

foresight. The questionnaire will be developed in consideration of the examples from

previous literature (Grim, 2009) and in consultation with a field expert. The electronic

questionnaire will be used as a standout between the most kinds of global research systems.

This method saves time and is one of the more reasonable procedures in terms of cost while

covering a wide geographical region.

The questionnaire will be developed according to the foresight framework in the

Thinking about the Future framework (Hines & Bishop, 2006, 2013) and Grim’s (2009)

FMM. The researcher will consider the Oxford University methodology, the methodology of

the Turku University in Finland, the Singapore methodology, and the Houston methodology

to support thoughts and ideas. The questionnaire will be divided into four main sections (see

Appendix 1):

First section: Collect background demographic data and information on respondents’

status (e.g., age, level of education).

Second section: Examine impact of administrative organisation to improve foresight

maturity in the ADP.

Third section: Measure the extent of ADP employees’ and top management’s

awareness to improve foresight maturity.

Fourth section: Measure the extent of understanding and applying future foresight

framework in ADP and their impact on foresight maturity. This section will be

divided into six axes: framing, scanning, futuring and future alternatives, visioning,

designing, and adopting.

The sections will use a 7-point Likert scale (strongly disagree = 1 to strongly agree =

7) to evaluate the determinants of foresight maturity and examine the potential relationship

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between foresight maturity and familiarity of foresight. Saunders, Lewis, and Thornhil (2009)

indicated that Likert-type questions are very useful for gathering specific data or seeking

facts or opinions; they should be presented in a straight line.

Closed-ended questions will be used to enable the researcher to collect extensive data

from many people in a short period of time (Popper, 2002). People are familiar and

comfortable with this format (Alkaabi, 2013), making it useful for the current study. Bryman

and Bell (2011) noted additional advantages of closed questions: (a) they can be pre-coded,

(b) they facilitate the relationship between the variables and comparisons between

respondents, and (c) they are easy for respondents to complete and for researchers to clarify

the meaning of.

5.2 Population and Sample

The research will distribute surveys to a randomly selected sample from a known list

of ADP employees. Thus, this research will implement probability sampling—namely, a

simple random sampling through a convenience sample (Saunders & Lewis, 2009). The ADP

has approximately 35,000 employees, and the population for the survey will be ADP’s top

organisational leaders, which includes the general director, deputy of general director,

directorate, deputy of directorate, department director, deputy of department director, and

section heads, totalling 272 managers.

5.3 Limits to Generalisation

Because of the study’s sample and intent, the findings will be generalisable only to the

ADP in the UAE because any finding can be generalised only to the population from which that

sample was taken and not beyond when the sample is not sufficient. In addition, the research

design does not treat the ADP as a random variable itself, but rather a fixed choice. One could

potentially generalise findings to other police departments with similar characteristics, but such

generalisations are not necessarily the purpose of this study. On the other hand, the questionnaire

developed by the researcher could be generalised to other organisations, especially in the UAE

government.

5.4 Data Analysis

Analysing data is the most important part of any quantitative study (Muijs, 2011).

Statistical tests will be applied to achieve the study’s aim and objectives. A quantitative

analysis will be applied to questionnaire data using the statistical program SPSS for

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Windows. Descriptive statistics will be conducted on the demographic data, including

frequency and percentages for nominal (age, gender) and ordinal scales (current management

positions, degree, number of training courses) as well as means/standard deviations for

continuous (interval/ratio) data (Donald, 2011).

5.4.1 Statistical Techniques

A 7-point Likert-type scale, ranging from extremely disagree to extremely agree and

extremely dissatisfied to extremely satisfied, will be employed to explore respondents’

opinions and behavioural variables. Moreover, statistical tests will be applied, starting with a

Cronbach’s alpha test for reliability of data and descriptive test (mean, standard deviation)

measures of variation, a correlation analysis (Spearman’s rank calculator), and statistical

hypothesis tests, such as analysis of variance t-test and one-way ANOVA tests, to test the

hypotheses and answer the research question (Alkaabi, 2013).

5.4.2 Validity and Reliability

Reliability and validity are the most important criteria for any business and

management research (Bryman & Bell, 2011). To decrease the possibility of achieving

incorrect results while enhancing the findings’ credibility, it is necessary to ensure the

research instrument’s validity and reliability (Saunders et al., 2009). The Cronbach’s alpha

test coefficient can be used for questionnaires using rating scales; the alpha should fall within

a range of 0.70 to 1.00 (Sun et al., 2007). Black (1999) defined the most convenient and

reasonable index for questionnaires is through the application of scales such as rating. If the

Cronbach’s alpha values exceed the accepted lower limit of 0.7, the scales used in the

instrument are reliable.

Whereas “reliability is concerned with the question of whether the results of the study

are repeatable”, “validity is concerned with the integrity of the conclusions that are generated

from a piece of research” (Bryman & Bell, 2011, p. 67). The literature discusses several types

of validity testing, including criterion validity, to ensure measurement validity (Hair et al.,

2006; Sekaran, 2003). Content validity, the most important type of validity, is concerned with

the extent to which a measurement scale reflects what is supposed to be measured (Sekaran,

2003). Construct validity shows how well the findings derive from employing the measure

that fits the theories and theoretical assumptions around which the test is designed (Sekaran,

2003). The current study follows many procedures to achieve questionnaire validity—

namely, an extensive literature review is linked to the topic of study and the study

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questionnaire will be assessed and refereed by many people with sufficient, knowledgeable

experience in the study area.

6. Pilot Testing and Measuring Validity

To create the survey, the researcher will use the information collected from the

literature review to prepare an initial draft of the questionnaire (see Appendix 1). He will then

pre-test the survey instrument informally by checking its face validity with a small group of

the researcher’s colleagues in the foresight field. These colleagues will review the questions

for clarity, simplicity, and ambiguity (Robson, 2002). This will lead to the development of a

modified version of the questionnaire. The researcher will then conduct a pilot study by

sending copies of the modified first draft to 10 individuals from the population sample to

validate the questionnaire. Larossi (2006) noted that pilot tests aim to (1) evaluate the

competency of the questionnaire, (2) estimate the length of the survey or time needed to take

the survey, and (3) collect comments or recommendations for making the questionnaire better

(Lease, 2005). The researcher will continue to repeat this iterative process until the survey

demonstrates usability and validity.

7. Ethical Issues

All research will be conducted by following Bradford University’s ethical guidelines.

No substantive additional ethical issues surround this research. The researcher will:

Provide a relevant information letter to participants, which will include information

about the study and its objectives;

Secure the full and informed consent of all participants by having them complete the

consent form;

Ensure the anonymity of all participants and case study organisations, if

required/requested; and

Respect the confidentiality of all participants and privileged data documents of

participants.

To maintain confidentiality and information security, participants will not be required to

submit any personally identifying information.

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8. Contributions

The questionnaire will collect data according to the foresight framework in the

Thinking about the Future framework (Hines & Bishop, 2006, 2013) and FMM

(Grim, 2009).

Once completed, this will be the first foresight study applied to a governmental

organisation in the UAE (i.e., ADP).

The study will help with the possibility of using the questionnaire to measure the

ADP’s capabilities and foresight practices as well as proposing ideas to raise the

ADP’s maturity in the future.

The foresight maturity index developed will be used to measure the future of

government institutions in the Arab world.

9. Summary

Strategic foresight is important to the organisation as it attempts to enable the

organisation to detect change early, interpret the consequences, and respond quickly and

effectively to emerging threats and opportunities (Rohrbeck, 2010). This study aims to

prepare a sophisticated Arabic version of the FMM to evaluate foresight maturity among

ADP officers and study the relationship between foresight maturity and familiarity of

foresight in different ADP departments. The study will employ a non-experimental

quantitative approach using self-completed questionnaires distributed to a randomly selected

sample from a list of known ADP employees. The population for the survey will be top

organisational leaders, totalling 272 individuals. This study will follow a deductive approach

to evaluate the impact of various determinants on foresight maturity for police employees.

The questionnaire data gathered will be analysed using descriptive statistics in order to test

hypotheses and answer the research question.

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10. Research Time Plan

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