信任对数据交易决策的影响:基于微分博弈分析  

The Effect of Trust on Data Trading Decisions:A Differential Game Based Analysis

作　　者：凌帅[1] 谢肖蝶 李庚[1] LING Shuai;XIE Xiaodie;LI Geng(College of Management and Economics,Tianjin University,Tianjin 300072,China)

机构地区：[1]天津大学管理与经济学部,天津300072

出　　处：《工业工程与管理》2024年第4期109-119,共11页Industrial Engineering and Management

基　　金：国家自然科学基金面上项目(72271181)。

摘　　要：数据供应链作为以数据为核心的供应链模式,在数据的生产和流通过程中发挥着重要作用。本研究旨在探究数据供应链交易主体信任水平构建的决策行为,并针对数据交易过程中可能出现的信任问题提供解决方案。基于微分博弈理论,构建了Nash博弈、Stackelberg博弈和合作博弈三种微分博弈模型,分析了数据供应链成员的不同博弈均衡策略。研究结果表明,数据交易平台通过激励数据供应商提升数据质量,能够实现供应链各方帕累托改善。此外,在满足一定条件的情况下,数据供应链各方的协同合作实现了整体最优。最后通过数值模拟验证了模型的可行性。综上所述,本研究揭示了信任在数据供应链中的重要性,为解决数据交易过程中的信任问题提供了理论支持。As a data-centered supply chain model,the data supply chain plays a crucial role in the production and circulation process of data.This study aimed to explore the decision-making behavior of data supply chain transaction subjects in building trust levels,and to provide solutions to trust issues that may arise during the data transaction process.Based on the differential game theory,three differential game models of Nash game,Stackelberg game,and Cooperative game were constructed to analyze the different game equilibrium strategies of data supply chain members.The research results demonstrate that data trading platforms can motivate data suppliers to enhance data quality,leading to a Pareto improvement for all parties involved in the supply chain.Moreover,under certain conditions,collaborative cooperation among all parties in the data supply chain can achieve the overall optimum.The feasibility of the model was then verified through numerical simulation.In summary,this study revealed the importance of trust in the data supply chain and provided theoretical support for solving trust problems in the data transaction process.

关 键 词：数据交易 数据供应链 信任水平 微分博弈 

分 类 号：F272[经济管理—企业管理]