The Effect of Trust on Data Trading Decisions:A Differential Game Based Analysis
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.
data tradingdata supply chaintrust leveldifferential game
万方数据
维普
