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El. knyga: Dual-channel Supply Chain Decisions With Risk-averse Behavior

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  • Formatas: 240 pages
  • Išleidimo metai: 25-Aug-2021
  • Leidėjas: World Scientific Europe Ltd
  • Kalba: eng
  • ISBN-13: 9781800610415
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  • Formatas: 240 pages
  • Išleidimo metai: 25-Aug-2021
  • Leidėjas: World Scientific Europe Ltd
  • Kalba: eng
  • ISBN-13: 9781800610415
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"In the era of e-commerce and digitalization, new commercial patterns and opportunities are emerging. For example, in addition to traditional reselling marketing channels, manufacturers can easily open direct channels using a variety of digital marketingstrategies. These new marketing channels will cause conflict and competition between manufacturers and resellers. This raises the important question of how to make optimal decisions for multiple players in dual-channel supply chain contexts. Within changing and uncertain operation environments, business enterprises must face tougher challenges than before to survive in competitive markets. This book aims to address representative decision-making problems in dual-channel supply chains with risk-averse channel members. The most recently developed risk assessment technique, Conditional Value at Risk (CVaR), will be adopted as the predominant criterion to measure the risk-averse attitude. Based on game theory, important issues such as channel selection, pricing, order quantity, manufacturer encroachment, greening strategy, consumer return policies, financing strategies, channel coordination, contract design, information asymmetry, and capacity constraint will be modeled and analyzed. This book will help readers better understand operations management in dual-channel supply chain contexts with risk-averse behaviors, and will also provide effective techniques and tools for researchers and offer managerial insights for practitioners"--

In the era of e-commerce and digitalization, new commercial patterns and opportunities are emerging. For example, in addition to traditional reselling marketing channels, manufacturers can easily open direct channels using a variety of digital marketing strategies. These new marketing channels will cause conflict and competition between manufacturers and resellers. This raises the important question of how to make optimal decisions for multiple players in dual-channel supply chain contexts. Within changing and uncertain operation environments, business enterprises must face tougher challenges than before to survive in competitive markets.This book aims to address representative decision-making problems in dual-channel supply chains with risk-averse channel members. The most recently developed risk assessment technique, Conditional Value at Risk (CVaR), will be adopted as the predominant criterion to measure the risk-averse attitude. Based on game theory, important issues such as channel selection, pricing, order quantity, manufacturer encroachment, greening strategy, consumer return policies, financing strategies, channel coordination, contract design, information asymmetry, and capacity constraint will be modeled and analyzed. This book will help readers better understand operations management in dual-channel supply chain contexts with risk-averse behaviors, and will also provide effective techniques and tools for researchers and offer managerial insights for practitioners.
Preface v
About the Editors vii
1 Dual-Channel Supply Chains and Risk-Averse Behaviors 1(22)
Bo Li
Dong-Ping Song
1.1 Introduction
1(2)
1.2 Marketing Channel and SCM
3(4)
1.2.1 Marketing channel and relevance to dual-channel supply chains
3(2)
1.2.2 SCM and relevance to dual-channel supply chains
5(2)
1.3 Risk-Averse Behavior in Dual-Channel Supply Chains
7(4)
1.3.1 Mean-variance method
8(1)
1.3.2 VaR method
9(1)
1.3.3 CVaR method
10(1)
1.3.4 Comparisons of the three risk measure methods
11(1)
1.4 Typical Decision-Making Problems in Dual-Channel Supply Chains
11(3)
1.5 Structure of the Book
14(4)
References
18(5)
2 Channel Selection in Dual-Channel Supply Chains 23(24)
Rufeng Wang
Bo Li
Dong-Ping Song
2.1 Introduction
23(2)
2.2 Channel Structures and Demands
25(3)
2.3 Equilibrium Solutions
28(3)
2.4 Analysis of Channel Control Abilities and Profits
31(8)
2.4.1 Comparisons on pricing and channel control abilities
32(3)
2.4.2 Comparison of profits
35(3)
2.4.3 Managerial implications
38(1)
2.5 Extension to the Case with Uncertain Demand and Risk-Averse Behavior
39(4)
2.5.1 Stochastic demand
39(1)
2.5.2 The models
40(3)
2.6 Conclusion
43(1)
References
44(3)
3 Pricing Decisions in a Dual-Channel Supply Chain with a Risk-Averse Retailer 47(22)
Bo Li
Ping Chen
3.1 Introduction
47(1)
3.2 Model Description
48(4)
3.3 Equilibrium and Analysis
52(6)
3.3.1 The solutions under equal bargaining power
52(3)
3.3.2 Analysis of the manufacturer's profit share
55(3)
3.4 Numerical Experiments
58(7)
3.4.1 The cases with varying channel powers
58(2)
3.4.2 The cases with varying demand uncertainty
60(4)
3.4.3 The cases with varying price sensitivities
64(1)
3.5 Conclusion
65(1)
References
66(3)
4 Pricing Strategy and Channel Coordination in a Dual-Channel Supply Chain with a Risk-Averse Retailer 69(22)
Bo Li
Pengwen Hon
4.1 Introduction
69(2)
4.2 Model
71(2)
4.3 Equilibrium and Analysis
73(9)
4.3.1 Under the VaR criterion
74(1)
4.3.2 Under the CVaR criterion
75(2)
4.3.3 Analysis of the equilibrium solution under CVaR
77(5)
4.4 Coordination Design
82(6)
4.4.1 Benchmark
82(1)
4.4.2 The risk-sharing contract
83(5)
4.5 Conclusion
88(1)
References
89(2)
5 Pricing and Greening Strategies in Dual-Channel Supply Chain 91(20)
Bo Li
Mengyan Zhu
5.1 Introduction
91(3)
5.2 Problem Setting and the Model
94(2)
5.3 Solutions and Analysis
96(6)
5.3.1 Centralized and decentralized dual-channel green supply chain models
96(4)
5.3.2 Sensitivity analysis
100(2)
5.4 Channel Choice and Channel Coordination
102(4)
5.4.1 Channel choice
102(2)
5.4.2 Coordinating supply chain
104(2)
5.5 Extension to the Case with the Risk-Averse Retailer
106(1)
5.6 Conclusion
107(1)
References
108(3)
6 Consumer Return Policy and Channel Conflict Management in a Dual-Channel Supply Chain with a Risk-Averse Retailer 111(22)
Yushan Jiang
Bo Li
Dong-Ping Song
6.1 Introduction
111(3)
6.2 Model Formulation
114(4)
6.3 Equilibrium Solution and Analysis
118(6)
6.3.1 Equilibrium solution and its properties
118(2)
6.3.2 Impact of the returns policy and the risk-averse indicator on performance
120(4)
6.4 The Buyback Revenue-Sharing Contract to Manage Channel Conflict
124(2)
6.5 Competitiveness Analysis
126(3)
6.6 Conclusion
129(1)
References
130(3)
7 Financing Strategies in a Capital-Constrained Supply Chain with a Risk-Averse Supplier 133(22)
Bo Li
Simin An
Dong-Ping Song
7.1 Introduction
133(3)
7.2 Model Description
136(2)
7.3 The Equilibrium Solutions with a Risk-Averse Supplier
138(8)
7.3.1 Equilibrium under PCG strategy
139(3)
7.3.2 Equilibrium under TCF strategy
142(4)
7.4 Comparative Analysis
146(5)
7.5 Extension to the Dual-Channel Case with a Risk-Averse Supplier
151(1)
7.6 Conclusion
152(1)
References
153(2)
8 Pricing and Order Quantity Decisions in Dual-Channel Supply Chain with a Risk-Averse Retailer Under Demand Asymmetric Information 155(20)
Qinghua Li
Bo Li
8.1 Introduction
155(2)
8.2 Model Description
157(1)
8.3 Manufacturer's Encroachment Under Symmetric Information
158(3)
8.3.1 Benchmark case without manufacturer's encroachment
159(1)
8.3.2 The manufacturer encroachment case under symmetric information
160(1)
8.4 Manufacturer's Encroachment Under Asymmetric Information
161(11)
8.5 Conclusion
172(1)
References
173(2)
9 Contracting and Pricing in a Dual-Channel Supply Chain with a Risk-Averse Retailer Under Cost Information Asymmetry 175(26)
Ping Chen
Bo Li
9.1 Introduction
175(2)
9.2 Model Description
177(3)
9.3 Under Perfect Cost Information Case
180(4)
9.3.1 With manufacturer encroachment
180(3)
9.3.2 Without manufacturer encroachment
183(1)
9.4 Under Asymmetric Cost Information Case
184(7)
9.4.1 With manufacturer encroachment
185(3)
9.4.2 Without manufacturer encroachment
188(3)
9.5 Discussion and Numerical Analysis
191(6)
9.5.1 The impacts of the retailer's risk-averse indicator
192(2)
9.5.2 The impact of the retailer's channel power
194(1)
9.5.3 The impact of the manufacturer's high production cost
194(3)
9.6 Conclusion
197(1)
References
198(3)
10 Pricing Decisions in Two Competing Channels with a Risk-Averse Capacity-Constrained Carrier 201(22)
Wei Zheng
Bo Li
Dong-Ping Song
10.1 Introduction
201(2)
10.2 Problem Description
203(4)
10.3 Optimal Pricing Strategies for Competing Shipping Lines
207(5)
10.4 The Role of Risk Attitude, Capacity, and Competition
212(4)
10.5 Numerical Experiments of Model Results
216(4)
10.6 Conclusion
220(2)
References
222(1)
Index 223
Bo Li is a Professor in the College of Management and Economics at Tianjin University. She obtained her PhD degree from Tianjin University. Her research field includes supply chain management and behavior operation management. She is an editorial board member of Asia-Pacific Journal of Operational Research and an executive director of the behavioral operations management branch at Operations Research Institute in China. She has had papers published in journals including Omega, European Journal of Operational Research, Transportation Research Part B/E, International Journal Production Research, International Journal of Production Economics, and International Journal of Electronic Commerce.

Dong-Ping Song is a Professor of Supply Chain Management in Liverpool University Management School. He obtained his PhD at Newcastle University and was a Professor of International Logistics at Plymouth University Business School. He is a Senior Member of IEEE; an Associate Editor for Transportation Research Part E and International Journal of Shipping and Transport Logistics. He has research expertise in applying mathematical modeling, data analytics, artificial intelligence, and simulation-based tools to various supply chain, logistics and transportation systems, particularly in the area of maritime transport. He has had papers published in journals including IEEE Transactions on Automatic Control, Transportation Research Part B/E/D, and European Journal of Operational Research.