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The credit game on network supplier and customer based on big data

Author

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  • Yong-gui Fu

    (Central University of Finance and Economics
    Shanxi University of Finance and Economics)

  • Jian-ming Zhu

    (Central University of Finance and Economics)

Abstract

In this paper, we make B2C transaction as the research object, to analyze the transaction credit game on network supplier and customer based on big data. In the condition of considering the cost of B2C network supplier improving commodity credit, and the cost of B2C customer analyzing and managing network supplier commodity credit big data, constructing the credit game relationship model, analyzing the game process and the influence factors, and simulating the game process using System Dynamics theory model. The research only is a part of the research on B2C network supplier and customer transaction credit relationship, and is a part of the research on B2C network supplier and customer transaction process in big data environment, this paper is only to illustrate the variation that big data bring to B2C network supplier and customer transaction behavior. To the application and research of big data in network transaction credit management, this paper research result has a certain reference value.

Suggested Citation

  • Yong-gui Fu & Jian-ming Zhu, 2018. "The credit game on network supplier and customer based on big data," Electronic Commerce Research, Springer, vol. 18(3), pages 605-627, September.
    • Handle: RePEc:spr:elcore:v:18:y:2018:i:3:d:10.1007_s10660-017-9260-0
    DOI: 10.1007/s10660-017-9260-0
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    References listed on IDEAS

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    1. Andrew J. Collins & David M. Harrison & Michael J. Seiler, 2015. "Mortgage Modification and the Decision to Strategically Default: A Game Theoretic Approach s," Journal of Real Estate Research, American Real Estate Society, vol. 37(3), pages 439-470.
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