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Research on System Risks of “Internet + Supply Chain Finance” Based on SNA, Dynamic Evolutionary Game, and Bayesian Learning Principle Simulation

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  • Ji Lu Liu

    (Zhejiang Wanli University, China)

  • Ni Hu

    (Southwest University of Science and Technology, China)

  • Cheng Zhang

    (Yangtze Normal University, China)

Abstract

Under the background of "Internet +", the supply chain financial model and process have undergone profound changes. Firstly, through the social network analysis, the correlation between the participants in the Internet + supply chain finance is directly visualized. Secondly, the dynamic risk evolution model of the system is constructed based on the different functions between the participants. Unstable solution and saddle points of the system be calculated ; on this basis, Bayesian learning principles are used to build an Internet + supply chain financial credit default risk simulation model, and the simulation model is encapsulated. Finally, a numerical example is used to verify the simulation model operation Convenience, efficiency and reliability.

Suggested Citation

  • Ji Lu Liu & Ni Hu & Cheng Zhang, 2022. "Research on System Risks of “Internet + Supply Chain Finance” Based on SNA, Dynamic Evolutionary Game, and Bayesian Learning Principle Simulation," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 17(1), pages 1-16, January.
    • Handle: RePEc:igg:jitwe0:v:17:y:2022:i:1:p:1-16
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    References listed on IDEAS

    as
    1. Lee, Chang Hwan & Rhee, Byong-Duk, 2011. "Trade credit for supply chain coordination," European Journal of Operational Research, Elsevier, vol. 214(1), pages 136-146, October.
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