World Scientific Publishing Company Dual-channel Supply Chain Decisions With Risk-averse Behavior

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. About the Author <p><strong>Bo Li</strong> 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 <em>Asia-Pacific Journal of Operational Research</em> and an executive director of the behavioral operations management branch at Operations Research Institute in China. She has had papers published in journals including <em>Omega</em>, <em>European Journal of Operational Research</em>, <em>Transportation Research Part B/E</em>, <em>International Journal Production Research</em>, <em>International Journal of Production Economics</em>, and <em>International Journal of Electronic Commerce</em>.</p> <p> </p> <p><strong>Dong-Ping Song</strong> 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 <em>Transportation Research Part E</em> and <em>International Journal of Shipping and Transport Logistics</em>. 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 <em>IEEE Transactions on Automatic Control</em>, <em>Transportation Research Part B/E/D</em>, and <em>European Journal of Operational Research</em>.</p>