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研究生: Januardi
Januardi Januardi
論文名稱: 雙通路服務供應鏈之雙期競爭與合作模型
Two-Period Sales Channel Competition and Cooperation in Dual-Channel Service Supply Chains
指導教授: 林希偉
Shi-Woei Lin
李強笙
Chiang-Sheng Lee
口試委員: 王孔政
Kung-Jeng Wang
郭人介
Ren-Jieh Kuo
陳穆臻
Mu-Chen Chen
蔣明晃
Ming-Huang Chiang
林希偉
Shi-Woei Lin
李強笙
Chiang-Sheng Lee
學位類別: 博士
Doctor
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2023
畢業學年度: 111
語文別: 英文
論文頁數: 95
中文關鍵詞: 雙通路供應鏈動態定價賽局理論服務定價服務供應鏈
外文關鍵詞: Dual-channel Supply Chain, Dynamic Pricing, Game Theory, Service Pricing, Service Supply Chain
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網路科技與電子商務的發展促成企業雙通路供應鏈策略之運用,雙通路服務供應鏈亦為其中重要一環。本研究聚焦於雙期服務供應鏈系統中不同通路的動態定價策略,並考量服務產能利用率對於價格之影響。在本研究的模型框架中,價格與產能利用率影響通路的需求與廠商的獲利,提高利用率可以吸引更多顧客預訂服務,但同時亦增加運營成本。在非合作賽局架構下,本研究分別採用同步的納許賽局與非同步的 Stackelberg 賽局進行求解;而在合作賽局架構下,本研究採用Shapley值來決定利潤之分配。均衡解及數值分析指出,服務供應商和線上平臺可以透過合作而獲得更高的利潤,研究結論亦強調管理者需要更關注顧客的消費偏好與行為,特別是消費者跨通路和跨時間的價格敏感性,因為它們將顯著影響服務產能的最佳配置及系統的收益。


The development of Internet technology and the growth of e-business have enabled companies to utilize a dual-channel supply-chain strategy. This study investigates decisions in dynamic pricing and service capacity utilization in a dual-channel service supply chain (DCSSC) system over two periods. In particular, the formulation of the model entails that the demand of each channel is affected by the prices and capacity utilization of the previous and current periods. Increasing utilization can help the service provider to attract more customers to book the service but also raise operational costs. The model is developed and solved under simultaneous, sequential, and cooperative game frameworks by using vertical Nash (VN), Stackelberg leadership (SL), and cooperative game, respectively. The Shapley value solution concept is also used to determine the profit allocation in the cooperative game. Numerical analyses of the study show that the service provider and the online platform will achieve higher payoffs if they cooperate instead of engage in competition with each other. Furthermore, managers need to pay attention to the channel selection and switching behavior, which can significantly affect the payoffs, especially when the customer’s cross-channel and cross-time price sensitivity is high.

DOCTORAL DISSERTATION RECOMMENDATION FORM ii QUALIFICATION FORM BY DOCTORAL DEGREE EXAMINATION COMMITTEE iii ABSTRACT iv 摘要 v ACKNOWLEDGEMENTS vi TABLE OF CONTENTS vii LIST OF TABLES xi LIST OF FIGURES xii 1. CHAPTER 1 INTRODUCTION 1 1.1 Background 1 1.2 Research Questions 3 1.3 Research Objectives 4 1.4 Research Outlines 4 2. CHAPTER 2 LITERATURE REVIEW 6 2.1 Service Supply-chain 6 2.1.1 Dual-channel Supply-chain 6 2.1.2 Manufacturer and Service Supply-chain Difference 7 2.2 Pricing Game 9 2.2.1 Bertrand (Nash) Game 9 2.2.2 Stackelberg (Subperfect Nash) Game 9 2.2.3 Shapley Value 10 2.3 Research Gap 11 3 CHAPTER 3 DECISION-MAKING MODEL FRAMEWORK 13 3.1 Model Assumptions, Limitations, and Notations 13 3.2 Demand Function 14 3.2.1 First Period 16 3.2.2 Second Period 17 3.3 Profit Function 18 3.3.1 Online Platform 18 3.3.2 Service Provider 19 3.3.3 First Period Best Response 20 3.4 Case Study 22 3.5 Summary 23 4. CHAPTER 4 NONCOOPERATIVE (DECENTRALIZED) GAME SOLUTIONS 24 4.1 Vertical Nash (Simultaneous) Game 24 4.1.1 First Period 25 4.1.2 Second Period 25 4.2 Stackelberg Leadership (Sequential) Game 27 4.2.1 First Period 27 6.2.1 Second Period 28 4.3 Numerical Experiment 31 4.4 Summary 36 5 CHAPTER 5 COOPERATIVE (CENTRALIZED) GAME SOLUTIONS 38 5.1 Optimal Solutions 38 5.1.1 First Period 38 5.1.2 Second Period 39 5.2 Numerical Experiment 41 5.3 Profit Allocations 43 5.4 Summary 47 6 CHAPTER 6 SUMMARY 48 6.1 Implications 48 6.2 Conclusions 49 6.3 Future Research Directions 50 REFERENCES 51 APPENDIX 57 Appendix 1. Proof of Lemma 1 and Propositions 1.1 57 Appendix 2. Proof of Propositions 1.2 59 Appendix 3. Proof of Propositions 2.1 61 Appendix 4. Proof of Propositions 2.2 62 Appendix 5. Proof of Propositions 3.1 64 Appendix 6. Proof of Propositions 3.2 65 Appendix 7. Wolfram Mathematica Code of Vertical Nash Game 67 Appendix 8. Wolfram Mathematica Code of Stackelberg Leadership Game 71 Appendix 9. Wolfram Mathematica Code of Cooperative Game 74 Appendix 10. Optimal solutions and Sensitivity Analysis of Dual-channel Service Supply-chain under Vertical Nash Game 79 Appendix 11. Optimal solutions and Sensitivity Analysis of Dual-channel Service Supply-chain under Stackelberg Leadership Game 80 Appendix 12. Optimal solutions and Sensitivity Analysis of Dual-channel Service Supply-chain under Cooperative Game 81 Appendix 13. Profit Allocations and Sensitivity Analysis of Dual-channel Service Supply-chain under Cooperative Game 82

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