湖北农业科学 ›› 2024, Vol. 63 ›› Issue (4): 168-173.doi: 10.14088/j.cnki.issn0439-8114.2024.04.031

• 农业信息与工程 • 上一篇    下一篇

基于斯坦克伯格博弈理论的直播电商农产品供应链定价策略

王雷   

  1. 台州职业技术学院电子商务学院,浙江 台州 318000
  • 收稿日期:2023-12-05 出版日期:2024-04-25 发布日期:2024-05-07
  • 作者简介:王雷(1981-),男,浙江台州人,硕士,主要从事市场营销研究,(电话)13706569166(电子信箱)wonglay@qq.com。
  • 基金资助:
    浙江省教育厅一般科研项目(Y202352385)

Pricing strategy for agricultural product supply chain in live streaming E-commerce based on Stackelberg game theory

WANG Lei   

  1. School of Electronic Commerce,Taizhou Vocational and Technical College, Taizhou 318000, Zhejiang, China
  • Received:2023-12-05 Online:2024-04-25 Published:2024-05-07

摘要: 为深入理解直播电商环境下农产品供应链的定价策略及面临的挑战,介绍了斯坦克伯格博弈理论及直播电商农产品供应链的框架和核心特征。评述了直播电商农产品供应链定价问题的复杂性,并建立了基于假设的多种决策模型。通过数值分析方法,分析了这些模型的有效性和适用性。结果表明,直播电商环境下农产品供应链定价策略的选择对增加各参与方的利益具有明显影响,且集中决策模式在实现供应链整体利益最大化方面效果最佳。归纳了直播电商农产品供应链面临的主要挑战和决策困境,得出了优化直播电商农产品供应链定价策略的重要性,以期最大化供应链各环节参与者的共同利益。提出了针对直播电商农产品供应链定价问题的改进建议和策略,认为在直播电商快速发展的背景下,采用先进的博弈理论对定价策略进行科学分析与优化,对提升农产品供应链的整体效率和竞争力至关重要。

关键词: 直播电商, 农产品供应链, 斯坦克伯格博弈理论, 决策模型

Abstract: In order to gain a deeper understanding of the pricing strategies and challenges faced by the agricultural product supply chain in the live streaming E-commerce environment, the Stackelberg game theory and the framework and core features of the live streaming E-commerce agricultural product supply chain were introduced. The complexity of pricing issues in the agricultural product supply chain of live streaming E-commerce was evaluated, and multiple decision models based on assumptions were established. The effectiveness and applicability of these models were analyzed through numerical analysis methods. The results indicated that the selection of pricing strategies for agricultural product supply chains in the live streaming E-commerce environment had a significant impact on increasing the interests of all parties involved, and the centralized decision-making model had the best effect in achieving the maximization of overall supply chain benefits. The main challenges and decision-making difficulties faced by the live streaming E-commerce agricultural product supply chain were summarized, and the importance of optimizing the pricing strategy of the live streaming E-commerce agricultural product supply chain was concluded, in order to maximize the common interests of all participants in the supply chain. Suggestions and strategies for improving the pricing of agricultural product supply chains in live streaming E-commerce had been proposed. It was believed that in the context of the rapid development of live streaming E-commerce, adopting advanced game theory to scientifically analyze and optimize pricing strategies was crucial for improving the overall efficiency and competitiveness of the agricultural product supply chain.

Key words: live streaming E-commerce, agricultural product supply chain, Stackelberg game theory, decision-making model

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