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THE PREFERENCE FOR ORGANIZATIONAL CHANGE APPROACHES IN A

MULTICULTURAL CONTEXT: AN ANALYSIS INCLUDING NORTH AMERICA,

EUROPE, AND ASIA

MSc BUSINESS ADMINISTRATION – CHANGE MANAGEMENT

FACULTY OF ECONOMICS AND BUSINESS

UNIVERSITY OF GRONINGEN

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ABSTRACT

This research investigates the existence of preference for organizational change approaches,

and whether this preference varies from the one cultural region to another. This was done via a

systematic curriculum analysis of 42 universities in 14 countries, representing North America,

Europe, and Asia. Findings include a general dominance of planned change approaches over

organizational development and continuous change approaches. Theoretical contributions

include the identification of a dominant change approach and the rejection of a cultural

influence in change approach preference. Managerial implications include the recommendation

for change agents to conform the configuration of their change initiatives to the general

preference among change recipients for planned change initiatives.

Parts of this thesis can be found in other theses as well, as they were written in collaboration

with fellow master students.

Key words

Change management, planned change, organizational development, continuous change,

culture, intercultural change management.

Acknowledgements

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CONTENTS

ABSTRACT ... 2

INTRODUCTION ... 4

LITERATURE ... 5

Organizational change approaches ... 5

Culture ... 7

Cultural differences and a preference for the dominant change approach ... 8

METHODOLOGY ... 9

Research Method ... 9

Change Approach ... 9

Culture ... 10

Data gathering ... 10

Sample selection ... 10

Data collection ... 10

Inclusion criteria ... 11

Data analysis ... 14

Preparing for coding ... 14

Coding and determine the change approach ... 14

Determining cultural influence ... 15

Justification of research method... 15

RESULTS ... 16

Sample ... 16

Preference across change approaches ... 18

Regions and preference for change approaches ... 18

DISCUSSION ... 23

CONCLUSION ... 25

Contributions ... 25

Findings ... 25

Theoretical contributions ... 26

Managerial implications ... 27

Propositions ... 27

Limitations ... 28

Suggestions for further research... 29

REFERENCES ... 30

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INTRODUCTION

As Beer and Nohria (2000) notice, contemporary organizations have the choice to either change

or die. Organizational change has become such an important topic that it is seen as one of the

prime responsibilities of organizational leaders (Burnes, 2014). Despite the relevance of

change, evidence shows that some 70% of change initiatives fail (Burnes & Jackson, 2011).

Yet, the question what causes these failure rates often remains unaddressed (Buchanan,

Fitzgerald, Ketley, Gollop, Jones, Saint Lamont, Neath, & Whitby, 2005).

Amongst others, Burnes and Jackson (2011) suggest that a potential reason for change failure

might be the lack of alignment of values between those of the change initiatives and those of

the members of the organization. It is in the interest of the change agent to know the values he

is dealing with if he is to align the values of his change initiative in order to reduce the chance

of change failure (Burnes & Jackson, 2011). Kotter and Schlesinger (2008) demonstrate that

managers can choose their change approach from a range of strategic options. According to

Boonstra (2003), all of these different theories and practices of organizational change are based

on deeply held values. Values, among basic assumptions, norms, and artifacts, can be seen as

one of the major layers of culture (Cummings & Huse, 1989).

Cummings and Huse (1989) discuss culture in the context of organizations. Sasaki and

Yoshikawa (2014) take a broader perspective, demonstrating that organizational culture is

subject to a range of national and intra-national cultural influences. Literature on culture has

shown that culture varies to a great extent over geographic regions (Hofstede, 1980; House,

Javidan, Hanges, & Dorman, 2002; Taras, Steel, & Kirkman, 2012). Hofstede (2001) argues

that although organizational culture and national culture are distinct from each other, they are

also complementary and that they do interfere: ‘organizational cultures distinguish

organizations, while holding their national environments constant’ (Hofstede, 2001:391).

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Current literature gives no insight into which change approach is preferred by academics or

practitioners in different cultural regions. Therefore the goal of this study is to identify the

dominant change approach in several regions to see whether they differ and if so, in what way.

This research aims to contribute to the research field of change management by relating

different change approaches to different cultural regions. This research will complement

existing literature by means of theory development. Apart from theoretical relevance, this

research also provides practical relevance. As mentioned before, Burnes and Jackson (2011)

state that change initiatives fail due to a lack of alignment between the values of the

organization, the value of the applied change approach and the values underpinning the change

approach. They also state that factors causing change interventions to fail are underpinned by

‘the appropriateness of the content and the approach to change used by organizations, and

whether there was value alignment between the two’ (Burnes & Jackson, 2011:158). This

research aims to provide change agents with insight in how they can manage change

interventions more effectively. Once different preferences are identified, the extent to which

these differences can be explained by cultural differences will be investigated. Hence, the

research question is as follows:

Does the dominant change approach differ across cultural regions? If so, can this different

preference be related to cultural differences?

LITERATURE

Organizational change approaches

Change management is about ‘modifying or transforming organizations in order to maintain or

improve their effectiveness’ (Hayes, 2007:30). According to Viljoen, ‘change management

occurs within the overall context of strategic management’ (1997:121)

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. Barnett and

Carroll

(1995) conceptualize change in terms of process, referring to how change occurs, and content,

describing what in the organization actually changes. This thesis will focus on the process

aspect of organizational change.

According to Burnes (2004), change is a feature always present in organizations, on an

operational as well as on a strategic level. Although consultants, academics and executives

acknowledge that change is constant, their view on the process of change differs. Beer and

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Nohria (2000) identify two theories that are capturing these different views on the purpose and

meanings for change: Theory E and Theory O. Whereas Theory E focuses on economic value,

seeing change as planned, programmatic, rapid and dramatic, Theory O approaches change as

more emergent, focusing on the development of organizational capabilities, building trust and

commitment. Boonstra (2003) builds upon these theories, adding Theory C: an approach

incorporating continuously changing and constructing realities.

Theory E revolves around the realization of a competitive advantage and the creation of

economic value (Boonstra, 2003). The focus mainly lies on formal structures and systems, and

the need for change is typically caused by market demands and changing environments.

Because improving business performance is key, change agents are seen as powerful experts

who induce change top-down, being behavioral experts and employees are merely seen as

objects that need to be motivated.

Contrasting Theory E, Theory O approaches change as emergent, less planned and less

programmatic (Boonstra, 2003). Key in Theory O is Organizational Development (OD),

optimizing social and technical systems, and increasing the quality of working life (Boonstra,

2003). The interest of individuals and the organization needs to be integrated (Boonstra, 2003;

Burnes, 2009). Theory O emphasizes individual and organizational learning (Beer & Nohria,

2000). Organizational effectiveness and humanist orientation coexist, seeing the role of change

agent not as being an expert, but as the one who facilitates the collaboration between managers

and employees. Where Theory E appears to be most suitable in situations with an identified

problem that is not too complex, and where change is seen as episodic with a stable end

situation, Theory O seems to be more suitable when the issue is complex and no evident

solution is available, focusing on continuous changing and improving change abilities

(Boonstra, 2003).

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and changing are connected as a collective process, where learning is seen ‘as a change in

routines, response repertoires, and basic assumptions about social realities and interrelations’

(Boonstra, 2003:9). Change within this theory is more fundamental as compared to Theory O.

Survival will depend on the alignment with the organizational environment, emphasizing the

importance of alert reactions and daily contingencies which will drive organizational change

(Boonstra, 2003).

The aim of each theory differs. Theory E aims to create as much economic value as possible.

Theory O aims to develop human skills within the organization in such a way that all

organizational members are able to put strategies into practice and learn from the effectiveness

of the changes made (Boonstra, 2003). Theory C bridges the gap created by a significant

contradiction between Theory E and O by focusing on continuous change (Boonstra, 2003).

Using Beer and Nohria (2000) and Boonstra (2003), change management approaches can be

divided in three change approaches. So far, based on current literature, no unitary answer can

be given to the question which change approach currently is most prevalent.

Culture

‘Culture’ has been defined in many ways (Minkov & Hofstede, 2011; Taras et al., 2012). The

definition by Hofstede (2001:15) is one of the most quoted: ‘Culture is the collective

programming of the mind that distinguishes the members of one group or category of people

from another’.

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The research of Taras et al. (2012) incorporates the initial four Hofstede dimensions, as well as

the more recently added ones (long- versus short-term orientation and indulgence versus

constraint, see: Hofstede, 2001; Minkov & Hofstede, 2011; Scheffknecht, 2011) no sufficient

amount of data was available (Taras et al., 2012). According to Taras et al. (2012:330), power

distance can be defined as ‘the extent to which the less powerful persons in a society accept

inequality in power and consider it as normal’. Individualism is ‘the degree to which people

prefer to act as individuals rather than as members of groups’, masculinity is the degree to

which masculine values prevail over feminine values, and uncertainty avoidance can be defined

as ‘the degree to which people are made nervous by situations which they perceive as

unstructured, unclear, or unpredictable’ (Taras et al., 2012:330).

So far, culture has been discussed in terms of national culture. However, national cultural is

reflected in organizational culture as well. Just like national culture, organizational culture is a

term that can be defined in many ways (Watkins, 2013). Schwartz and Davis define

organizational culture as ‘a pattern of beliefs and expectations shared by the organization’s

members’ (1981:33). Watkins (2013) shows that organizational culture is shaped by other

cultures, especially the national culture it operates in. According to Scheffknecht (2011)

national and regional cultural values cannot be avoided in organizational culture building,

which is in line with Hofstede’s (2001) reasoning that organizational culture is bound by

national culture.

Cultural differences and a preference for the dominant change approach

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national culture and influences (organizational) behavior in a unique way (Hofstede, 1980;

Taras et al., 2012). Therefore, we expect that the different scores on the cultural dimensions

given by Hofstede (1980) and Taras et al. (2012) will lead to a different preference for change

approach. This research aims to provide insight in the preference for change approaches in

different cultural regions because current literature does not provide insight in which change

approach enjoys practitioners’ greatest preference across different cultural regions.

METHODOLOGY

Research Method

From the research question, neither a pure theory testing nor a pure theory development

approach appears to be suitable. For identifying whether the preference for a change approach

differs across nations, which is unknown yet, a theory development approach is most

appropriate. Testing hypotheses is unlikely to fit within the scope of this exploratory research

and rather is a next step in this research field. Therefore, this research will seek to put forward

with propositions that add value to the existing literature (Van Aken, Berends & Van der Bij,

2012), based on the exploratory nature and potential findings of this research endeavor, and

feasible for further research.

Change Approach

For identifying the dominant change approaches, a systematic analysis of university curricula

will be performed. The procedure is similar to a systematic literature analysis, as it is a method

for ‘systematically evaluating the contribution of a body of literature’ (Crossan & Apaydin,

2010; Ginsberg & Venkatraman, 1985), yet different in the sense that no literature on a specific

research topic but university curricula are under investigation. There are several arguments in

favor of this approach. For this research purpose, universities offer the opportunity for a good

comparison: course information and literature usually comes in a similar format. This

information usually is readily available, and universities generally are easy to approach.

Furthermore, universities for this matter serve as the base where future managers will be

schooled upon. Universities are subject to national values in the sense that they are

organizations as any other (Sasaki & Yoshikawa, 2014). They are rooted in national cultures,

and therefore likely to resonate national values. Therefore it is expected the change approaches

taught at universities represent the change approaches preferred by practitioners in a given

country.

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advocate underlying values of one of the three change approaches, or a combination of these

change approaches based on Boonstra (2003), simplifying the process of data analysis.

Culture

For defining the culture of the countries involved, the framework of Taras et al. (2012) will be

used. It incorporates the initial four cultural dimensions of Hofstede (1980), and is performed

longitudinally so that it covers a time span of four decades and corrects for the reliability and

generalizability issues of Hofstede’s work. Taras et al. (2012) present scores for power distance,

individualism, masculinity, and uncertainty avoidance for 49 geographical regions based on a

meta-analysis of 451 studies (journal articles, master’s and doctoral theses, books and book

chapters, and unpublished papers) using models and methodology comparable with that of

Hofstede. Hereby Taras et al. (2012) provide a re-established determination of the cultural

configuration of all countries in the dataset of this research. For this research the 40-year

average scores for the cultural dimensions as presented in their work will be used. The research

of Taras et al. (2012) makes use of standardized scores of their dataset (mean=0, SD=1), scores

generally not exceeding -2 or +2 in which -2 is a low score on a cultural dimension and +2 is a

high score on a cultural dimension.

Data gathering

Sample selection

The starting point of the data gathering process was identifying relevant universities. To ensure

that relevant universities are taken into account, the ranking of the top 200 universities

worldwide as published by Thomson-Reuters (2014) has served as input. The ranking of

universities prevailed over that of business schools, as universities with a different or broader

focus than business or economics alone might offer courses related to change management that

reflect cultural values. Next to this sample, we were given the opportunity to make use of the

faculty partner network. All partner universities of the Faculty of Economics and Business of

the University of Groningen were sent an information request containing questions on whether

any courses related to organizational change were being taught at their university, if there was

any information about the courses concerned available, and what literature students following

those courses needed to study.

Data collection

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Search terms University Curricula

Business Transformation Business Communication

Change Management Consultancy Continuous Change

Decision Making Dynamic Engineering

Entrepreneurship Emergent Change Human Resources Management

Information Innovation Leadership

Manage/Managing Organizational Behavior Organizational Change

Organizational Development Planned Change Project Management

Strategy Strategic Management Technology

Table 1: Search terms for university curricula.

It is important to note that the search terms are derived from the curriculum as taught at the

University of Groningen, and other courses that have been part of the educational and/or

practical background of the writers of this thesis. This has the potential of holding a researcher’s

bias. However, due to the wide range of search terms and the wide range of research fields they

cover, the data found in this searching procedure is supposed to be sufficient to cover the data

needs for performing this research.

If no data or no satisfactory amount of data was found on university, the university under

investigation was approached via e-mail with an information request. An overview of all

countries and universities included in the sample can be found in appendix 1. In all, 320

universities from 42 countries in the regions North America, Latin America, Europe, Africa,

and Asia were approached. Amongst these 320 universities, 176 were top 200 universities, 167

were partner universities of the Faculty for Economics and Business of the University of

Groningen, and the University of Groningen itself was included as well.

Inclusion criteria

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12 Figure 1: Countries included in the research

To ensure that cultural differences were included in our data collection procedure, a cultural

profile based on Taras et al. (2012) made for each country. Countries were clustered into

regions based on their profile of scores on the four cultural dimensions (power distance,

individualism, masculinity, uncertainty avoidance) as can be seen in table 2. For Tanzania,

Latvia, Russia, Slovakia, Slovenia, Brazil, Colombia, Chile, Mexico, and Peru no data was

available in Taras et al. (2012), for these countries the data available for their

macro-geographical regions were used. The existence of cultural variety in our dataset was ensured by

using the chosen data collection procedure.

Region

Cultural dimensions

Africa Power

Distance Individualism Masculinity

Uncertainty Avoidance

Tanzania* 1,08 -1,17 -0,76 1,61

Asia Power

Distance Individualism Masculinity

Uncertainty Avoidance China 0,71 -0,13 -0,44 0,42 Hong Kong 0,56 -0,19 0,05 -0,37 Indonesia 0,69 -0,58 0,13 -0,58 Japan 0,32 -0,23 1,31 1,33 Legend

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13 Malaysia 1,38 -0,95 0,11 0,32 Singapore 0,79 -0,71 -0,19 -0,65 South Korea 0,69 -0,12 0,45 0,46 Taiwan -0,23 -0,74 -0,21 -0,07 Thailand 0,5 -0,88 -0,58 0,16 Turkey 0,09 -0,39 0,37 0,41

Central Europe Power

Distance Individualism Masculinity

Uncertainty Avoidance Austria -1,29 -0,07 1,15 -0,03 Czech Republic -0,47 0,08 0,39 0,24 Germany -0,49 0,03 0,64 0,43 Greece -0,12 -0,72 0,23 1,29 Italy -0,06 0,49 0,7 0,62 Switzerland -0,57 0,4 0,73 0,14

Eastern Europe and Portugal

Power

Distance Individualism Masculinity

Uncertainty Avoidance Latvia** -0,66 -0,32 -0,19 0,63 Poland -0,39 -0,33 0,04 0,54 Portugal -0,14 -0,83 -0,7 0,32 Romania -0,2 -0,35 -0,54 0,75 Russia*** -0,1 -0,25 -0,05 1,12 Slovakia*** -0,1 -0,25 -0,05 1,12 Slovenia**** 0,29 -0,03 -0,73 0,22 Scandinavia Power

Distance Individualism Masculinity

Uncertainty Avoidance Denmark -1,17 0,48 -0,92 -1,31 Finland -0,09 0,23 -0,58 -0,03 Netherlands -0,11 0,89 -0,91 -0,27 Norway -0,94 0,57 -1,14 -1,37 Sweden -0,76 0,69 -0,95 -0,94

Western Europe Power

Distance Individualism Masculinity

Uncertainty Avoidance Belgium 0,37 0,59 0,19 0,88 France 0,41 0,39 0,06 1,05 Hungary 1,14 0,11 1,07 1,07 Republic of Ireland -0,7 0,42 0,84 -0,56 Spain 0,16 0,05 -0,13 1,17 United Kingdom 0,03 0,93 0,83 -0,61

North America Power

Distance Individualism Masculinity

Uncertainty Avoidance

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United States of America -0,27 0,42 0,4 -0,14

Latin America Power

Distance Individualism Masculinity

Uncertainty Avoidance Brazil***** 1,17 -0,73 -0,52 0,94 Colombia***** 1,17 -0,73 -0,52 0,94 Chile***** 1,17 -0,73 -0,52 0,94 Mexico****** 1,41 -1,14 0,25 1,08 Peru***** 1,17 -0,73 -0,52 0,94

* Scores for Africa

** Scores for Baltic USSR

*** Scores for Slavic USSR

**** Scores for Yugoslavia

***** Scores for South America

****** Scores for Central America

Table 2: Cultural clusters in the population

Data analysis

After gathering the course literature, qualitative analysis was required in order to identify the

nature of the course literature in terms of advocated change approaches. The coding process

consisted of three steps. First a coding scheme was built, then the actual coding process, and

the third step was to build a taxonomy.

Preparing for coding

The first step in the coding process was to build a database in order to prepare the data for

analysis. This database contained details of all course literature that met the inclusion criteria.

The database contains the literature’s author, title, complete reference, regions it is deployed

in, and university and course it is used in for each record. Books were separated from the papers

in order to facilitate an easier analysis process. Papers were searched by using EBSCO Business

Source Premier and Google Scholar. The total list of papers and books as used for the courses

taught at foreign universities can be found in appendix 2 and 3 for papers and books

respectively.

Coding and determine the change approach

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O, or a combination of Theory O and Theory C, if a combination of shared values in terms of

Boonstra (2003) was advocated in the literature in question. A combination of Theory E and

Theory C is not included in this research as these change approaches are opposing. The search

terms used for each of the change approaches are based on Boonstra’s (2003) classification and

can be found in the table in appendix 4. If only the abstract or a summary was available, analysis

was performed based on the parts that were available. The researchers kept constant record of

whether they were able to analyze the entire paper or parts of it, and when and by whom this

analysis was performed. Based on codes given to the literature, a prevalent change approach

was assigned to the paper under investigation.

Determining cultural influence

The third step was to use the data identified in the coding process in order to build a taxonomy.

This taxonomy consists of literature which would advocate either Theory E, Theory O, or

Theory C, or a combination of change approaches, either Theory E & O, or Theory O & C on

a country level. This taxonomy is used to identify the influence of culture. In order to do so, it

registers the scores for power distance, individualism, masculinity, and uncertainty avoidance

and the papers advocating Theory E, Theory O, Theory C, or a combination of these denoted

in absolute numbers (k) as well as means ( ) and standardized means (z). Standardized means

were generated by using the following formula (1):

Justification of research method

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approaches during the coding process, the impact of this bias should be reduced to as much as

lies within in the researcher’s abilities.

Validity falls apart in four types: justification, construct validity, internal validity, and external

validity (Van Aken, Berends & Van der Bij, 2012). Justification is achieved by correctly linking

the results to the procedure they are derived from (Van Aken, Berends & Van der Bij, 2012).

To achieve construct validity, a fellow master student with a background in the field of change

management will crosscheck this coding scheme independently in order to check whether they

draw the same conclusions from the identical dataset. This is conform the procedure as

proposed by Yin (2003) and Van Aken, Berends & Van der Bij (2012) and is done by

crosschecking of the first fifty analyzed papers and every tenth paper after. Separate coding and

crosschecking of the separately generated coding tables did not fall within the scope of this

research. This thesis takes external validity into consideration by two means. First, the regions

under investigation are chosen based upon theoretical justifications. Second, the universities

under investigation are chosen based upon their academic qualification as assured by inclusion

in Thomson-Reuters (2014) top 200 university ranking or by the fact that they are a partner

university of the Faculty for Economics and Business of the University of Groningen. Both

measures are to ensure that the findings of this research are likely to represent a broader trend.

RESULTS

Sample

Usable data was collected from 74 out of the 320 universities and from 23 out of the 42

countries, representing Europe, North and Latin America, and Asia. This means a response rate

of 23% in terms of universities and a coverage of 55% in terms of countries. From these 23

countries, a total of 1201 papers and 1226 books were listed.

The analysis of books did not fall within the scope of this study. Analysis of papers prevailed

over analysis of books, as books are likely to cover a broader range of perspectives on

organizational change, which consequently makes such analysis less informative. Furthermore,

modifications in curricula are easier made by replacing papers than by replacing books.

However, not including books in the analysis holds a risk for a potential bias as courses usually

primarily rely on books.

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universities, 35 were top 200 universities, 14 were partner universities of the Faculty for

Economics and Business of the University of Groningen, and the University of Groningen itself

was included as well. Appendix 1 displays all countries and universities that were approached

for this research, from the universities and countries in italics adequate data was collected, and

the universities and countries in both italics and boldface were included in the analysis.

Figure 2: Countries included in the research, included in the dataset, and included in the analysis.

A total of 1201 papers remained to be coded and analyzed. 80 Papers amongst these were used

more than once by various countries, universities, or faculties, reducing the total amount by

136 papers and resulting in a total amount of 1065 unique papers. Of this amount, 104 papers

could either not be found by using EBSCO Business Source Premier or Google Scholar or were

not relevant for the subject of this study as they were either unrelated to an organizational

change context or unrelated to values as expressed by Boonstra (2003). Therefore, the final

amount of coded papers is set at 961 papers. For analyzing them the procedure as described in

the method section was followed. A final list of search terms and codes can be found in

appendix 4 and a detailed coding scheme of the 961 papers can be found in

appendix 5

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Appendix 5 is voluminous and is not comprised in the printed version of this thesis. If you

would wish to examine the coding table, please contact the author.

Legend

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Preference across change approaches

Of the 961 papers, a majority of 457 papers could be assigned to Theory E in terms of Boonstra

(2003). 240 Of them deal with Theory O, and a minority of 78 papers deal with Theory C. 151

Papers take a perspective that can be classified as a combination of Theory E & O, and 35

papers share values of Theory O & C. As the data shows, Theory E appears to be the dominant

change approach, followed by Theory O, and Theory C being the change approach that is the

least represented in international university curricula.

Figure 3: Division of papers among change approaches.

Regions and preference for change approaches

Using Taras et al.’s (2012) determination of scores on the four cultural dimensions, the 14

countries in the sample can be clustered in cultural regions. Doing so results in the clusters as

in table 3. The notion that Europe should be considered as a set of regions rather than one region

(Hofstede, 1980; Taras et al., 2012) is adopted in this research by dividing Europe into three

culturally distinct regions: Central Europe, Western Europe, and Scandinavia. Adding Asia and

North America brings the number of regions in this analysis to five. Cultural similarity seems

to correspond with geographical proximity, of which the Netherlands is an exception. The

Netherlands shows a cultural profile similar to that of the Scandinavian countries and therefore

gets classified in the Scandinavian culture cluster.

0 50 100 150 200 250 300 350 400 450 500

Theory E Theory O Theory E&O Theory C Theory O&C Papers

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Cultural profile

Region Country Power

Distance Individualism Masculinity

Uncertainty Avoidance

Asia Hong Kong 0,56 -0,19 0,05 -0,37

South Korea 0,69 -0,12 0,45 0,46

Central Europe Austria -1,29 -0,07 1,15 -0,03

Czech Republic -0,47 0,08 0,39 0,24 Greece -0,12 -0,72 0,23 1,29 Switzerland -0,57 0,4 0,73 0,14 Scandinavia Denmark -1,17 0,48 -0,92 -1,31 Finland -0,09 0,23 -0,58 -0,03 The Netherlands -0,11 0,89 -0,91 -0,27 Norway -0,94 0,57 -1,14 -1,37 Sweden -0,76 0,69 -0,95 -0,94 Western Europe Belgium 0,37 0,59 0,19 0,88 United Kingdom 0,03 0,93 0,83 -0,61

North America United States of America

-0,27 0,42 0,4 -0,14

Table 3: Clusters of cultural regions.

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20 Table 4: Taxonomy of regions, countries, cultural profiles, and change approach

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Clusters of countries can be distinguished by examining their cultural profiles. However, no

similar clustering for change approach preference can be made by examining the standardized

means for change approach preference, as they are broadly scattered. This situation is not

satisfactory for answering the research question because the least that is required is a set of

cultural clusters and a set of change approach preference clusters to check for matches or

mismatches. In an attempt to resolve this issue, a hierarchical cluster analysis based on

within-group linkages was performed for culture as well as for change approaches. The number of

clusters was forced to be five for both of the analyses as one could expect to see five clusters

for culture (see table 3 and 4) and five clusters for change approach preference (a preference

for Theory E, Theory O, Theory C, Theory E & O, and Theory O & C). For performing the

cluster analysis for the change approach preference, the standardized means for the change

approaches were used.

The outcome of the cluster analysis shows that clusters based on culture do not correspond with

clusters based on change approach preference, which can be seen in table 5. Moreover, the

cluster analysis shows dissimilarity between the cultural clusters that were initially formed and

those formed based on statistics. Given the geographical proximity within cultural clusters that

appeared in the initial clustering but is diminished in the second set of cultural clusters, the

chances are that performing the cluster analysis also corrected for researcher’s tendency to

interpret data in accordance to their own beliefs (Weick, 1995). However, after having

performed the initial analysis and having it redone statistically, the findings of this research can

be extended with the notion that regions while being dispersed in terms of culture display a

similar pattern in change approach preference. Despite some countries (Austria, Finland, and

Belgium) that deviate, results show an overall preference for Theory E despite cultural

differences.

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23 E O C E & O O & C Power Distance 0,980 0,793 0,050 0,510 0,026* Individualism 0,864 0,498 0,572 0,523 0,711 Masculinity 0,624 0,920 0,140 0,417 0,320 Uncertainty Avoidance 0,899 0,629 0,943 0,555 0,669 * = <0,05 sig.

Table 6: Results of the regression analysis.

DISCUSSION

The vast majority of investigated papers advocates Theory E and/or Theory O. Planned change,

or Theory E in terms of Boonstra (2003), is derived from the work of Kurt Lewin and does not

only underpin Theory E. Also Theory O finds its practical and philosophical foundation in the

work of Lewin (Burnes, 2014). Planned change has been of great significance for contemporary

organizations (Burnes, 2014). Despite the common theoretical foundations of Theory E and

Theory O, the findings of this research do justify the distinction between the two streams. The

created clusters show a generic preference for Theory E over all of the other change approaches,

including Theory O, despite cultural differences over regions and despite the theoretical origin

that Theory E shares with Theory O (Boonstra, 2003; Burnes, 2014). The question rises why

Theory E specifically is so popular.

Dunphy and Stace (1988) disentangle planned change (Theory E) from the more incremental

organizational development approach (Theory O) and state that Theory E is the more effective

change approach. Despite their research being over twenty years old, the scenarios they use are

still relevant: incremental changes in the environment, organizations, and technology as well

as radical changes in organizational structure or industry reorganization are conditions that still

are present in today’s organizational environment. According to Dunphy and Stace (1988),

these scenarios create conditions that require planned change transformations rather than the

application of incremental OD approaches. Besides, the perception of organizations being

subject to external forces advocates a Theory E perspective on organizational change (Boonstra,

2003) in the first place. This position vis-à-vis (effective) organizational change is enforced by

stating that organizations usually lack the pro-activity that is required for anticipating on the

changing scenarios from the OD perspective (Dunphy & Stace, 1988).

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24

Resource-Based view has been the most eminent application of the concept of strategy for the

last two decades (Lockett, Thompson & Morgenstern, 2009) and views the firm-specific

configuration of the available resources as the key to organizational performance and,

ultimately, sustainable competitive advantage (Burnes, 2014). The concepts of strategic

planning and optimal resource configuration in order to gain a competitive advantage that in

turn creates economic (shareholder) value shows great similarity with the focus of Theory E

(Boonstra, 2003). With the revival of strategic planning (Burnes, 2014; De Wit & Meyer, 2010)

and the Resource-Based view having been considerably influential over the last 20 years

(Ordanini & Rubera, 2008), the significant popularity of Theory E might not come

unexpectedly. Even though Theory E is the oldest of change approaches, it still applies to many

contemporary managerial contingencies.

Despite the merits of Theory E that are adopted by the majority of regions, Austria and Finland

deviate from the other regions in the sense that Theory O is preferred over the other change

approaches. (NB: this causes these countries to be treated as regions, as the latter serves as the

level of analysis of this research.) The sample size of Austria is only small (k=5), but Finland

(k=24), while being culturally similar to the Netherlands, shows an odd profile in terms of

change approach preference. More than half of the papers in use in Finnish universities

advocate Theory O, whereas the Netherlands fit in the generic profile, including a preference

for Theory E. This is contradicting the findings of Fagenson-Eland, Ensher, and Burke (2004),

who hypothesize and generally find a large similarity in OD application between Finland and

the Netherland. In this light, the findings of this research are unanticipated.

Apparently, cultural difference nor similarity cannot account for the dominance of either

Theory E or Theory O. Beer and Nohria (2000) make several assumptions on the connection

between national culture and change approach preference. For instance, Beer and Nohria (2000)

assume that Theory E enjoys greater preference in the USA, whilst Theory O being more

popular in Europe and Asia. Moreover, Fagenson-Eland et al. (2004) use Hofstede’s

dimensions in order to predict the likelihood of OD interventions, and so does Jaeger (1986).

This research started out with similar expectations on the existence of a relation between

national culture and change approach preference, but no such relation was identified due to the

vast preference for Theory E across culturally distinct regions. Thus, the findings and

assumptions of previous studies in this vein (Jaeger, 1986; Beer and Nohria, 2000;

Fagenson-Eland et al., 2004) were not supported.

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25

upon. Given the insights that were gained during this research, the relevance of adapting

management styles to the preference of subordinates (House et al., 2002) or the notion that

change programs need to be tailored to the (cultural) traits of change recipients in order to be

successful (Jaeger, 1986; Burnes & Jackson, 2011) deserve contemplation.

However, apart from the arguable preference for Theory E, the chances are that the research

instrument of this study has skewed the findings in favor of Theory E. Not only do the

theoretical concepts that underlie planned change cover two of the three change approaches in

terms of Boonstra, Theory E and Theory O (Boonstra, 2003), the concept of planned change

has been around for much longer than the concept of continuous, emergent organizational

change (Burnes, 2014), or Theory C in terms of Boonstra (2003). This makes for a more

developed research field, with the concept of planned change being discussed more extensively

and by a multitude of authors. This would logically translate into a larger relative presence of

planned change oriented literature in university curricula. Theory C perspectives on

organizational change have only been around since the 1980s (Burnes, 2014) and therefore the

field of research is a lot less mature and saturated than the research field on planned change.

Additionally, there is another principle that can cause the preference for Theory E to be

overestimated. Despite the need of curricula to foster contemplation among students (George,

2011), theory and practice need to be closely related from a pedagogic point of view

(Stenhouse, 1983). Given the solution-based orientation of contemporary education, it might

be that the rather clear-cut and goal oriented planned change approaches prevail over usage of

literature on the more abstract Theory C perspective on organizational change.

CONCLUSION

Contributions

Findings

This thesis offers a unique insight in change approach preference in an intercultural and

international context. It generates and makes use of a very broad yet exclusive dataset, sourced

from a plurality of countries and geographical and cultural regions. A thorough analysis of this

rich dataset revealed that Theory E, and planned change in general, is the most preferred

organizational change approach.

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26

Does the dominant change approach differ across cultural regions? If so, can this different

preference be related to cultural differences?

Generally, the dominant change approach does not differ across cultural regions. We can say

so as data from different cultural regions was gathered and analyzed, but generally no difference

in the dominant change approach was identified. Exceptions on the dominance of Theory E can

be found in Austria and Finland where Theory O is the dominant change approach, and in

Belgium, where the preference for Theory E equals the preference for Theory O. For the

countries that do differ in the dominant change approach, no explanation could be found in

cultural dissimilarity. The reverse also appears to be true, as culturally distinct regions show a

similar preference for change approaches. A holistic view on culture comprising the four

Hofstede dimensions did not elucidate the lack of correspondence between clusters based on

culture and clusters based on organizational change approach, and neither did a regression

analysis of the individual culture dimensions that was performed additionally.

Theoretical contributions

First of all, this thesis succeeds in identifying a generally dominant change approach. Planned

change enjoys significantly greater preference than continuous change. Within the concept of

planned change, Theory E enjoys greater preference than Theory O. This outcome adds to the

understanding of change approach conceptualization: not only can three organizational change

approaches be distinguished; they also can be prioritized by the magnitude of their application.

Additionally, this thesis extends the significance of planned organizational change. The

significance of planned change in organizational life was already acknowledged (Burnes,

2014); its significance in educational life is newly discovered.

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27

Managerial implications

Apart from contributions to existing literature, this thesis also holds implications for

practitioners in the field of organizational change. A general preference for planned change

approaches was identified. Following the reasoning of Burnes and Jackson (2011), that this

thesis started out with and that stated that change agents best align the value configuration of a

change initiative with that of the change recipients if a change initiative is to be effective, in

general change managers will be most successful if they take a planned change perspective.

Within this concept of planned change, Theory E values will find a more substantial recognition

among change recipients when compared to Theory O values. Theory C values were generally

least appreciated. This implies that change initiatives taking a continuous change perspective

are the least likely to be resembled in the values that change recipients hold.

Based on the findings of this research, taking a Theory E approach on organizational change

can now be recommended as the safe choice for successful change execution in the majority of

investigated countries. Exceptions of this rule of thumb can be found in the case of Austria and

Finland where Theory O values are the most appreciated, and in Belgium, where Theory O is

as preferred as much as Theory E. However, in Belgium, still a preference for planned change

can be identified.

Finally, the implications that cultural differences were supposed to hold for effective change

management styles were not supported by this thesis. Theory E values generally were most

appreciated throughout various culturally distinct regions.

Propositions

Coming up with propositions was among the objectives of this thesis. Based on the findings,

five propositions can be put forward. The majority of investigated papers advocates Theory E

and/or Theory O. Both theories are part of the realm of planned change. The number of papers

advocating continuous change is outclassed by the figure of papers advocating planned change.

Hence:

1. Planned organizational change approaches enjoy the greater preference compared to

continuous organizational change approaches.

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28

2. Within the realm of planned organizational change, Theory E is more preferred than

Theory O.

Based on the former two propositions and the findings of this thesis in general, it is to be

concluded that Theory E is the dominant change approach. Hence:

3. Theory E is the dominant organizational change approach.

Austria and Finland were the only two countries that deviated in the sense that Theory E is not

the dominant change approach in these countries. Instead, Theory O is the dominant change

approach in Austria as well as Finland. Hence:

4. If, in a region, Theory E is not the dominant change approach, the then dominant

change approach is most likely to be Theory O.

However, the explanation of this deviation of the generally dominant change approach of

Austria and Finland was not found in their national culture, as their cultures show a similarity

with other countries that does not return in change approach preference. The reverse also

appears to be true: culturally distinct regions show a similar preference for change approaches.

Hence:

5. No relation can be found between culture and a preference for organizational change

approach.

These propositions can be used in future theory-testing oriented research designs.

Limitations

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29

A respondent bias can be found with the universities represented in the dataset. Universities

were approached based on their ranking on a Western Top 200 university ranking, or based on

the fact that they are a partner university of a Western university. Even though this was done

to preserve practical and academic relevance of included universities, it also leads to a

Western-oriented dataset.

Furthermore, this research worked with the assumption that university curricula give an

appropriate reflection of national preferences. The extent to which this working assumption is

true has not yet been tested.

Suggestions for further research

The findings of this thesis unlock several alleys for further research. In the first place, a very

rich dataset was created. This dataset is feasible for further investigation. A large amount of

books that are part of university curricula was gathered, but as a consequence of the relatively

short time span for this thesis, analysis of this major part of the dataset has been impossible so

far. Moreover, the limited scope of this thesis urged for a very strict and pragmatic view on the

organizational change approach an academic paper advocates. Not only are papers often more

nuanced than this, reality certainly is. The robustness of findings will benefit from a more

sophisticated analysis of the dataset, preferably with more elaborated crosschecking than was

the case now.

Also, a more advanced statistical analysis of the current dataset could yield more insight. For

example, a correspondence analysis could gain more insight in the clustering of countries into

regions for culture as well as change approach preference. Additionally, quantification of

change approach preference and identification of patterns in this distribution has not been

performed yet.

Apart from further investigation of the current dataset, chances lie in the extension of this

dataset. Relevant countries such as Germany, France, and Japan have not made it to the analysis

for various reasons, but analysis of these countries certainly would be interesting. Moreover,

inclusion of non-Top 200 universities or non-partner universities would reduce the Western

bias that is present in the current dataset.

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30

only enhance the need for further investigation in order to gain understanding on the relation

between national culture and the relative effectiveness of change management.

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APPENDICES

Appendix 1: An overview of all countries and universities included in the sample

p.34

Appendix 2: Total list of papers used for the courses taught at foreign universities

p.40

Appendix 3: Total list of books used for the courses taught at foreign universities

p.198

Appendix 4: Final list of search terms and codes, based on Boonstra’s (2003) classification

p.303

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34

Appendix 1: An overview of all countries and universities included in the sample

Country University T o p 2 0 0 Univ er sit y F E B P a rt ner Univ er sit y P a pers B o o ks Co ded

1 Austria 1 Johannes KeplerUniversität x

2 Universität Innsbruck x

3 University of Vienna x x x x x

4 Vienna University of Economics and Business Administration

x

2 Belgium 5 Ghent University x x

6 HEC - ULg Business School (Université de Liege)

x

7 ICHEC Brussels Management School x

8 Katholieke Universiteit Leuven x x x x x

9 Solvay Brussels School of Economics and Business

x 10 Université Catholique de Louvain x x

11 University of Antwerp x x x x x

3 Brazil 12 Insper x

13 Sao Paulo School of Business, Economics and Accountancy

x

4 Canada 14 Concordia University x

15 McGill University x

16 McMaster University (Degroote School of Business) x x 17 Queen's University x 18 Université de Sherbrook x 19 Université Laval x 20 University of Alberta x x

21 University of British Columbia x

22 University of Montreal x

23 University of Ottawa x x

24 University of Toronto x

25 University of Victoria x x

5 Chili 26 PUC de CHILE x

27 Universidad de Chile x

6 China 28 Fudan University x x

29 Peking University x x x

30 Renmin University of China x

31 Shanghai Jiaotong University x

32 Sun Yat-Sen University Business School

x

33 Tongji University x

34 Tsinghua University x

35 University of Nottingham, campus NINGBO China

x 36 Xi'an Jiaotong-Liverpool University x

7 Colombia 37 Pontificia Universidad Javeriana x

8 Czech

Republic

38 Prague University of Economics x x x x

39 Technical University of Ostrava x

9 Denmark 40 Aarhus University x x x x

41 Copenhagen Business School x

42 Technical University of Denmark x

43 University of Copenhagen x x x x

44 University of Southern Denmark x

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35

46 Aalto’s University School of Business x x x x

47 Hanken School of Economics x

48 Oulu Business School x

49 Turku School of Economics x

50 University of Helsinki x

51 University of Tampere x

52 University of Vaasa x

11 France 53 Audencia Group x

54 Burgundy School of Business / Groupe ESC DIJON

x

55 École de Management Strasbourg x

56 ÉcoleNormaleSupérieure x

57 ÉcoleNormaleSupérieure de Lyon x

58 ÉcolePolytechnique x

59 EMLYON Business School x

60 ESSEC Business School x

61 Grenoble Graduate School of Business x

62 Groupe Sup de Co Montpellier x

63 IAE Aix Graduate School of Management

x

64 IESEG School of Management x

65 KEDGE Business School - campus Bordeaux

x 66 KEDGE Business School - campus

Marseille

x

67 NEOMA Business School x

68 Rennes School of Business x x

69 SKEMA Business School x

70 TELECOM Business School x

71 Toulouse Business School x

72 Université de Rennes x

73 Université Joseph Fourier x

74 Université Pantheon-Assas Paris II x

75 Université Paris IX Dauphine x

76 Université Paris Diderot-Paris 7 x

77 Université Paris-Sud x

78 Université Pierre et Marie Curie x

12 Germany 79 Albert-Ludwigs-Universität x

80 Cologne Business School x

81 EberhardKarlsUniversität x 82 Europa-UniversitätViadrina x 83 FreieUniversität Berlin x x 84 Friedrich-Alexander-Universität Erlangen-Nürnberg x 85 Georg-August-Universität x x 86 Goethe-Universität x

87 HHL Leipzig Graduate School of Management x 88 Humboldt-Universität x x 89 Julius-Maximilians-UniversitätWürzburg x 90 Karlsruhe Institute of Technology x 91 Ludwig-Maximilians-Universität x

92 Otto Friedrich Universität x

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36

99 University of Mannheim x

100 Universität Regensburg x

13 Greece 101 Athens University of Economics and

Business

x x x x

14 Hong Kong 102 Chinese University of Hong Kong x x

103 City University of Hong Kong x x x x x

104 Hong Kong Baptiste University x

105 Hong Kong Polytechnic University x 106 Hong Kong University of Science and

Technology

x

107 Lingnan University x

108 Tongji University x

109 University of Hong Kong x x

15 Hungary 110 Corvinus University of Budapest x

111 EötvösLoránd University x x

16 Indonesia 112 GadjahMada University x

113 IT Bandung x

114 University of Indonesia x x

115 University of Surabaya x

17 Ireland, Republic of

116 National University of Ireland, Galway x 117 University of Limerick / Kemmy

Business School x 18 Italy 118 LiberaUniversitàInternazionaledegliSt udiSociali 'LUISS' x 119 Politecnico di Milano x 120 ScuoleNormale di Pisa x

121 University of Rome Tor Vergata x x

122 University of Padova x

19 Japan 123 Kyoto University x x

124 Osaka University x

125 Tohoku University x x

126 Tokyo Institute of Technology x

127 University of Tokyo x

20 Latvia 128 The Stockholm School of Economics in Riga

x

129 University of Latvia x

21 Malaysia 130 Monash University Malaysia x

131 Universiti Putra Malaysia x

132 University of Nottingham Malaysia Campus x 22 Mexico 133 InstitutoTecnológicoAutónomo de México x 23 The Netherlands

134 Delft University of Technology x x

135 Eindhoven University of Technology x

136 Erasmus University Rotterdam x x

137 Leiden Universiteit x

138 Maastricht University x x x x

139 Radboud University Nijmegen x x x x

140 University of Amsterdam x x x x

141 University of Groningen x x x x

142 Utrecht University x

143 VU University of Amsterdam x x x x

144 Wageningen University and Research Center

x x

24 Norway 145 Norwegian Business School x x x x

146 Norwegian School of Management x

147 Norwegian University of Science and Technology

x

148 University of Oslo x x x x

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