| Abstract | 第5-6页 |
| 摘要 | 第7-16页 |
| Chapter 1 Introduction | 第16-31页 |
| 1.1 Background | 第16-18页 |
| 1.2 Problem Description | 第18-20页 |
| 1.3 Research Questions | 第20页 |
| 1.4 Motivation | 第20-24页 |
| 1.4.1 Green Supply Chain Management Conceptual Framework | 第20-21页 |
| 1.4.2 Novel Hybrid Multi-Criteria Decision-Making Tool | 第21-23页 |
| 1.4.3 Green Supply Chain Empirical Study in Ghanaian Mining Industry | 第23-24页 |
| 1.5 Objectives of the Dissertation | 第24-26页 |
| 1.5.1 Overview on Approach to Achieve Objectives of the Dissertation | 第25-26页 |
| 1.6 Main Research Contributions | 第26-27页 |
| 1.6.1 Proposed Green Supply Chain Management Conceptual Framework | 第26页 |
| 1.6.2 Proposed Novel Hybrid Multi-Criteria Decision-Making Tool | 第26-27页 |
| 1.6.3 Green Supply Chain Management Empirical Study and Results | 第27页 |
| 1.7 Organization of the Dissertation | 第27-31页 |
| Chapter 2 Literature Review | 第31-46页 |
| 2.1 Overview | 第31页 |
| 2.2 Supply Chain Management | 第31-32页 |
| 2.3 Green Supply Chain Management | 第32-34页 |
| 2.4 GSCM Factors in the Mining Industry | 第34-37页 |
| 2.5 Multi-Criteria Decision-Making Methods for GSCM Evaluation | 第37-41页 |
| 2.6 Gap Analysis | 第41-44页 |
| 2.6.1 Gap Analysis for GSCM Factors in the Mining Industry | 第41-42页 |
| 2.6.2 Gap Analysis for Selected MCDM Tools for Green Evaluation | 第42-44页 |
| 2.7 General Advantages of Selected MCDM Models | 第44-45页 |
| 2.7.1 Specific Advantages of the Individual Models | 第44页 |
| 2.7.2 Specific Limitations of the Individual Models | 第44-45页 |
| 2.8 Summary | 第45-46页 |
| Chapter 3 Research Design and Methodology | 第46-57页 |
| 3.1 Overview | 第46页 |
| 3.2 Research Design | 第46页 |
| 3.3 Population of the Dissertation | 第46-47页 |
| 3.4 Sampling and Sampling Techniques | 第47-51页 |
| 3.5 Data Collection | 第51-52页 |
| 3.5.1 Primary Data Collection | 第51-52页 |
| 3.5.2 Secondary Data Collection | 第52页 |
| 3.6 Data Analysis | 第52-54页 |
| 3.6.1 Primary Data Analysis | 第52-54页 |
| 3.6.2 Secondary Data Analysis | 第54页 |
| 3.7 Reliability and Validity of the Approach and Results | 第54页 |
| 3.8 Ethics and Confidentiality | 第54-56页 |
| 3.9 Overall Research Solution Methodology | 第56页 |
| 3.10 Summary | 第56-57页 |
| Chapter 4 Proposed Green Supply Chain Management Conceptual Framework For theMining Industry | 第57-84页 |
| 4.1 Overview | 第57页 |
| 4.2 Environmental Effects and Initiatives within Ghanaian Mining Industry | 第57-58页 |
| 4.3 Theoretical Background | 第58-63页 |
| 4.3.1 Systems Theory | 第58-60页 |
| 4.3.2 Resource-Based View Theory | 第60-61页 |
| 4.3.3 Relational Theory | 第61-62页 |
| 4.3.4 Dynamic Capabilities Theory | 第62-63页 |
| 4.4 Conceptual Relationship between GSCM and Sustainable Performance | 第63-69页 |
| 4.5 Green Supply Chain Management Framework for the Mining Industry | 第69-70页 |
| 4.6 Refinements and Development Method | 第70-71页 |
| 4.6.1 Delphi Method | 第70页 |
| 4.6.2 Modified-Delphi Method | 第70-71页 |
| 4.7 Refining Green Supply Chain Management Factors and Sub-Factors | 第71-81页 |
| 4.7.1 Green Information Technology and Systems (GITS) | 第74-75页 |
| 4.7.2 Strategic Suppliers Partnership (SSP) | 第75-76页 |
| 4.7.3 Operations and Logistics Integration (OLI) | 第76-77页 |
| 4.7.4 Internal Environmental Management (IEM) | 第77-78页 |
| 4.7.5 Eco-Innovative Factors (ECO) | 第78-79页 |
| 4.7.6 End-of-Life Factors (EOL) | 第79-81页 |
| 4.8 GSCM Implementation Benefits and Sustainable Performances | 第81-83页 |
| 4.8.1 GSCM Implementation and Economic Performance Outcome | 第82页 |
| 4.8.2 GSCM Implementation and Environmental Performance Outcome | 第82页 |
| 4.8.3 GSCM Implementation and Social Performance Outcome | 第82-83页 |
| 4.9 Summary | 第83-84页 |
| Chapter 5 Proposed Novel Hybrid Multi-Criteria Decision-Making Methodology | 第84-101页 |
| 5.1 Overview | 第84页 |
| 5.2 Technical Background of the Proposed Novel Hybrid Methodology | 第84-86页 |
| 5.2.1 Fuzzy-DEMATEL Method | 第84-86页 |
| 5.2.2 ANP Method | 第86页 |
| 5.2.3 GRA Method | 第86页 |
| 5.3 Proposed Novel Hybrid MCDM Model with Computational Steps | 第86-99页 |
| 5.3.1 Phase 1: Fuzzy-DEMATEL to Determine Interrelationships | 第87-91页 |
| 5.3.2 Phase 2: ANP to Determine Factor Importance to Overall Goal | 第91-95页 |
| 5.3.3 Phase 3: GRA to Determine the Most Sustainable Performance | 第95-99页 |
| 5.4 Advantages and Limitations of the Proposed MCDM Model | 第99-100页 |
| 5.4.1 Advantages of the Proposed MCDM Model | 第99-100页 |
| 5.4.2 Limitations of the Proposed MCDM Model | 第100页 |
| 5.5 Summary | 第100-101页 |
| Chapter 6 Case Application Analysis and Results | 第101-145页 |
| 6.1 Overview | 第101页 |
| 6.2 Ghanaian Mining Industry Scenario | 第101-104页 |
| 6.3 Case Application Analysis | 第104-134页 |
| 6.3.1 Fuzzy-DEMATEL Method Analysis | 第104-116页 |
| 6.3.2 ANP Method Analysis | 第116-125页 |
| 6.3.3 GRA Method Analysis | 第125-134页 |
| 6.4 Case Application Results Discussion | 第134-143页 |
| 6.4.1 Fuzzy-DEMATEL Results Discussion-Causal Relationship | 第134-140页 |
| 6.4.2 ANP Results Discussion-Criteria Importance to Overall Goal | 第140-142页 |
| 6.4.3 GRA Results Discussion-Sustainability Dimension to Overall Goal | 第142-143页 |
| 6.5 Managerial Feedback For Validity and Reliability of Results & Approach | 第143-144页 |
| 6.6 Summary | 第144-145页 |
| Chapter 7 Conclusion and Future Work | 第145-151页 |
| 7.1 Overview | 第145页 |
| 7.2 Conclusion | 第145页 |
| 7.3 Abstract of Innovative Points | 第145-147页 |
| 7.4 General Contributions and Implications of the Dissertation | 第147-149页 |
| 7.5 Limitations and Suggestions for Further Studies | 第149页 |
| 7.6 Overall Summary | 第149-151页 |
| References | 第151-171页 |
| Appendices | 第171-219页 |
| Appendix A | 第172-203页 |
| Appendix B | 第203-215页 |
| Appendix C | 第215-219页 |
| Published Academic Theses during PhD Period | 第219-220页 |
| Acknowledgement | 第220-221页 |
| About the Author | 第221-224页 |
