Dealing with digital Information richness in supply chain Management - A review and a Big Data Analytics approach



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Florian Kache Dealing with digital Information richness in supply chain Management - A review and a Big Data Analytics approach kassel IH university press

Contents Acknowledgements Preface Glossary Figures Tables v vi xii xiii xiv 1 Introduction 1 1.1 Motivation 1 1.2 Research questions 3 1.3 Structure of the dissertation and chapter overview 4 2 Supply chain Management: An overview, research strategies, and methodoiogies 9 2.1 Definition of logistics and supply chain management 9 2.2 Research strategies in SCM: Ontological, epistemological, and methodological perspectives 12 3 Selection and justification of research methods used in empirical desk research part of the dissertation 21 3.1 Literatu re review research 21 3.2 Content analysis 27 3.3 Contingency analysis 29 3.4 Research quality considerations 31 4 A conceptual "framework map" of SCM 33 4.1 Development of the Classification framework 33 4.2 Dimensions of the "framework map" 37 4.2.1 Dimension: Level of SCM analysis 37 4.2.2 Dimension: Orientation of SCM 39 4.2.3 Dimension: Functional scope of SCM: Collaboration/Integration 40 4.2.4 Dimension: Functional scope of SCM: Risk/Performance 44 4.2.5 Dimension: Functional scope of SCM: Strategy 49 4.2.6 Dimension: Theoretical foundation 58 5 Content analysis application using the "framework map" 64 5.1 Material collection 64 5.2 Descriptive analysis 67 vii

I 5.2.1 Distribution of articles across journals and years 68 ; 5.2.2 Distribution of journals included in literature reviews of sample 69 ; 5.2.3 Formal aspects of the 103 literature review articles (transparency) 72 > 5.2.4 Origin of analytic categories for analyzing the contents of the 103 articles (deductive / inductive) 73 5.2.5 Type of data analysis use in literature review sample (qualitative / quantitative) 74 5.2.6 Multivariate data analysis method usage in literature review sample... 75 5.2.7 Quality measures applied in literature review sample 77 5.2.8 Grounding of the 103 literature review articles in streams of literature.. 78 5.2.9 Limitations identified in sample literature reviews 79 5.3 Category selection 30 5.4 Material evaluation 81 6 Findings from the literature review 85 6.1 Dimension: Level of SCM analysis 86 6.1.1 SCM view of literature 86 6.1.2 Conceptual framing of SCM 88 6.1.3 Business functions involved in SCM 89 6.2 Dimension. Orientation of SCM 91 6.2.1 Types of flow 91 6.2.2 Direction of flow 93 6.3 Dimension: Functional scope of SCM: Collaboration / Integration 94 6.3.1 Collaboration 94 6.3.2 Integration 96 6.3.3 Information-sharing 98 6.3.4 Process improvement orientation 99 6.3.5 Leadership 101 6.4 Dimension: Functional scope of SCM: Risk / Performance 103 6.4.1 Supply chain risk management 103 6.4.2 Rewards-sharing (benefits) 107 6.4.3 Supply chain Performance 107 6.5 Dimension: Functional scope of SCM: Strategy 111 6.5.1 Supply chain planning 111 6.5.2 Innovation 113 6.5.3 Customer focus 115 6.5.4 Top management support 116 viii

6.5.5 Competitive advantage 118 6.5.6 Information technology 120 6.5.7 Lean and agile supply strategies 123 6.5.8 Sustainability 128 6.5.9 Outsourcing 132 6.6 Dimension: Theoretical foundation 135 6.6.1 Economics theory 136 6.6.2 Strategie management theory 138 6.6.3 Operations management theory 140 6.6.4 Psychological / sociological theory 142 6.7 Contingency analysis 147 6.7.1 Application of contingency analysis to literature review dataset 148 6.7.2 Results and findings of the contingency analysis assessment 153 6.7.3 Interpretation of category interdependencies and interrelations 168 6.8 Summary of identified under-represented areas in the dimensions 182 6.8.1 Dimension: Level of SCM analysis 182 6.8.2 Dimension: Orientation of SCM 184 6.8.3 Dimension: Functional scope of SCM: Collaboration / Integration 184 6.8.4 Dimension: Functional scope of SCM: Risk / Performance 186 6.8.5 Dimension: Functional scope of SCM: Strategy 187 6.8.6 Dimension: Theoretical foundation 190 7 Discussion of the dissertation's desk research part 193 7.1 Contribution 193 7.2 Academic and managerial implications 197 7.3 Strengths of the desk research part 198 7.4 Limitations of the desk research part 203 7.5 Recommendations for further research 205 7.6 Putting theory into practice: An exploratory approach for the assessment of an exemplary under-represented area 207 8 The digital transformation of businesses: Big Data Analytics and the role of Information 209 8.1 The digital transformation of the business landscape 209 8.2 Big Data and Analytics: An overview in a management context 211 8.2.1 Definition and key aspects 211 8.2.2 Defining the scope of Big Data Analytics 215 8.3 Research question development (RQ5) 217 ix

8.4 The value of Big Data Analytics for supporting the provisioning of Information on a business function level 220 8.5 A conceptual framework for the assessment of Information requirements 224 8.5.1 Identifying a theoretical foundation for the conceptual framework 224 8.5.2 Development of the conceptual framework 226 9 Assessing the impact of Big Data Analytics on corporate and supply chain level - A Delphi study approach 234 9.1 Definition of the Delphi methodology 234 9.2 Characteristics of the Delphi methodology 237 9.3 Justification for selected research method 243 9.4 Application of the Delphi methodology 244 9.4.1 Design of the Delphi study 244 9.4.2 Selection of experts 246 9.4.3 Data collection process and response rate 250 9.5 Presentation of Delphi study results 259 9.5.1 Round 1 (Initial questions) 259 9.5.2 Round 2 (Prioritizing of developed constructs) 286 9.5.3 Round 3 (Validation of group response against individual response).. 293 10 Assessing the findings from the Delphi study 298 10.1 Opportunities and challenges of Big Data Analytics on corporate and supply chain level 298 10.1.1 Key opportunities on corporate level 305 10.1.2 Key opportunities on supply chain level 307 10.1.3 Key challenges on corporate level 310 10.1.4 Key challenges on supply chain level 313 10.2 Applying the Delphi study findings to the Information requirements framework 315 10.3 Interlinking overarching Delphi study constructs with literature review insights 326 10.3.1 Overarching construct "Supply chain visibility and transparency" 328 10.3.2 Overarching construct "Responsiveness" 331 10.3.3 Overarching construct "Integration and collaboration" 333 10.3.4 Overarching construct "IT capabilities and infrastructure" 335 10.3.5 Overarching construct "Information and cyber security" 337 11 Discussion of the dissertation's field research part 341 11.1 Contribution 341 x

11.2 Academic and managerial implications 343 11.3 Strengths of the field research part 346 11.4 Limitations of the field research part 350 11.5 Recommendations for further research 353 12 Conclusion 358 12.1 Summarization 358 12.2 Reflection 361 References 364 Appendices 397 xi