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Dual-Channel Supply Chain Decisions with Risk-Averse Behavior

Editor

Listed:
  • Bo Li
    (Tianjin University, China)

  • Dong-Ping Song
    (University of Liverpool, UK)

Abstract

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.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Bo Li & Dong-Ping Song (ed.), 2021. "Dual-Channel Supply Chain Decisions with Risk-Averse Behavior," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number q0306.
    • Handle: RePEc:wsi:wsbook:q0306
    as

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    File URL: https://www.worldscientific.com/worldscibooks/10.1142/q0306
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    Book Chapters

    The following chapters of this book are listed in IDEAS

    More about this item

    Keywords

    Supply Chain Management; Risk-Averse Behaviour; Dual-Channel; Game Theory; Operations Management; Pricing Strategy; Channel Structure; Channel Conflict; Greening Strategy; Financing Strategy; Channel Coordination; Contract Design; E-Business; Risk Behaviors; Marketing Channel Management; Logistics; Operations Research; Operations Management; Management Science; Decision Science;
    All these keywords.

    JEL classification:

    • D2 - Microeconomics - - Production and Organizations
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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