The Nature of Supply Chain Management Research (eBook)

Insights from a Content Analysis of International Supply Chain Management Literature from 1990 to 2006

(Autor)

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2008 | 2008
XV, 231 Seiten
Betriebswirtschaftlicher Verlag Gabler
978-3-8349-9747-0 (ISBN)

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The Nature of Supply Chain Management Research - Julia Wolf
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Julia Wolf investigates the theoretical aspect of SCM by analyzing the evolution SCM research has undergone and by assessing the question whether SCM research can be considered a scientific paradigm as of today.



Dr. Julia Wolf promovierte bei Prof. Dr. Christopher Jahns am Supply Management Institute (SMI) der European Business School (EBS) in Oestrich-Winkel.

Dr. Julia Wolf promovierte bei Prof. Dr. Christopher Jahns am Supply Management Institute (SMI) der European Business School (EBS) in Oestrich-Winkel.

Herausgegeben von Professor Dr. Christopher Jahns 3
Foreword 6
Acknowledgement 7
Table of Contents 8
List of Figures 10
List of Tables 11
List of Abbreviations 13
1 Introduction 14
1.1 Background to the Research 14
1.2 Research Problem and Main Research Question 15
1.3 Thesis Structure 18
2 Theoretical Foundation 22
2.1 Definitions 22
2.2 Fundamentals of Supply Chain Management 26
2.3 Perspectives on the Analysis of Scientific Disciplines 31
2.4 Deduction of Research Questions 40
2.5 Interim Summary 48
3 Research Methodology 51
3.1 Origins and Principles of Core Methodologies 52
3.2 Steps in the Research Methodology 58
3.3 Interim Summary 95
4 Data Analysis and Evaluation 96
4.1 Evolution of Supply Chain Management Research Activity 96
4.2 Philosophy of Science in Supply Chain Management 104
4.3 The Supply Chain Management Object of Study 108
4.4 Scientific Practice - Schools of Thought in Supply Chain Management 126
4.5 Scientific Practice - Methodologies in Supply Chain Management 145
4.6 Operational Practice in Supply Chain Management Research 151
4.7 Anomalies and Unresolved Research Questions in Supply Chain Management 156
4.8 Conclusions on Data Analysis and Evaluation 164
5 Summary and Implications 167
5.1 Answers to Research Questions 167
5.2 Contributions to Supply Chain Management Research 173
5.3 Limitations and Directions for Future Research 175
References 178
Appendices 211
Appendix 1 - List of Experts 211
Appendix 2 - Expert Study Questionnaire 211
Appendix 3 - Sample Articles 212
Appendix 4 - Codebook 230
Appendix 5 - Krippendorff’s Alpha Results for Test - Retest 241

3 Research Methodology (S. 38-39)

An important decision in every research is the selection of the appropriate research methodology for the investigation of the posed research questions. In order to facilitate the selection process, Yin (1994) proposed a selection process that classifies appropriate research approaches in terms of the questions that should be answered, the required control of behavioural events and the necessary focus on contemporary events (Yin, 2003, p. 5).

In terms of the type of research questions, he differentiates five basic questions: "who", "what", "where", "how", and "why" questions. A look at the research questions identified in the previous chapter reveals that most of the questions are "what" and "how" questions. "What" questions can be further divided into exploratory and descriptive "what" questions. In this research the former type of research question dominates which justifies an exploratory methodology (Yin, 2003, pp. 5-6). "How" questions tend to be explanatory in nature and require the application of research methodologies that are able to deal with links that can be traced over time such as case studies, historical analyses, archival analyses and experiments.

Case studies and experiments tend to focus on contemporary events and require a high degree of control over behavioural events. As a major interest of this research is to understand the development of SCM research over time, case studies and experiments are of minor relevance as these methodologies have only limited capacity to track historical events in an international scientific community. Therefore, historical and archival analyses remain the most appropriate research methodologies for this thesis.

As historical analyses are less capable of providing answers to "what" questions, an archival analysis is chosen as an appropriate research methodology for this research. Since this project is essentially focused on the scientific developments of SCM as a research field, a major source of knowledge are published research outcomes such as books, articles, conference contributions and so on. Therefore, the following specific types of archival research seem to be of particular interest for this study: Systematic literature review (e.g. Denyer & Tranfield, 2006, Hart, 2005, Tranfield, Denyer & Smart, 2003, Tranfield & Starkey, 1998), citation, co-citation analyses and bibliometrics (e.g. Braam, Moed & van Raan, 1991a, 1991b, Glenisson, Glänzel, Janssens & De Moor, 2005, Shapiro, 1992), and content analysis (e.g. Duriau, Reger & Pfarrer, 2007, Kassarjian, 1977, Kolbe & Burnett, 1991, Krippendorff, 2004).

Citation analysis is based on direct counts of references made to or received from other documents, whereas paired citations are used as measure of association between documents in co-citation analysis (Eom, 2003, p. 8). Citation and co-citation analyses would therefore, be able to understand underlying patterns of SCM research, for example, schools of thought, but the majority of the other research questions such as the methodologies applied and the object of study could not be covered with these methodologies. Therefore, citation analysis, co citation analysis and other bibliometric methodologies are not used for this research.

Erscheint lt. Verlag 29.8.2008
Reihe/Serie Einkauf, Logistik und Supply Chain Management
Zusatzinfo XV, 231 p.
Verlagsort Wiesbaden
Sprache englisch
Themenwelt Wirtschaft Betriebswirtschaft / Management Logistik / Produktion
Schlagworte Logistik • scientific values • SCM • Supply Chain Management • Supply Chain Managment • Wissenschaftstheorie
ISBN-10 3-8349-9747-1 / 3834997471
ISBN-13 978-3-8349-9747-0 / 9783834997470
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