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

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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.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant 61272398, the National Social Science Foundation of China under Grant 13AXW010, Beijing Philosophy and Social Science Foundation of China under Grant 14JGA001, Discipline Construction Foundation of Central University of Finance and Economics.

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Authors and Affiliations

  1. School of Information, Central University of Finance and Economics, Beijing, 100081, China

    Yong-gui Fu & Jian-ming Zhu

  2. School of Information Management, Shanxi University of Finance and Economics, Taiyuan, 030031, China

    Yong-gui Fu

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  1. Yong-gui Fu
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  2. Jian-ming Zhu
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Correspondence to Yong-gui Fu.

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Fu, Yg., Zhu, Jm. The credit game on network supplier and customer based on big data. Electron Commer Res 18, 605–627 (2018). https://doi.org/10.1007/s10660-017-9260-0

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