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Big data analysis of e-commerce loan risk of college students in the context of network finance

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  • Sun Haitao

    (Hohai University)

Abstract

With the continuous development of e-commerce industry, China’s modern supply chain management field has to a certain extent and realistically achieved relatively good conditions for development. Based on the theoretical analysis of industrial economy, this paper briefly analyses and discusses the development situation of the objectivity of e-business supply chain management information system in China. The integrated scheme based on e-commerce supply chain management system only provides a technical framework for integrating supply chain management resources and implementing information sharing. It is mainly through such a system integration platform that the node enterprises in the supply chain can really realize the information sharing with suppliers, dealers and customers, and then realize the seamless connection between the node enterprises of the supply chain. And it can form a dynamic global networked supply chain network. The e-commerce platform system is used to track and monitor the campus network loan and pay attention to the trend of network loan in real time. Through the optimization of the whole supply chain management, the value added of the whole value chain can really enhance the core competitiveness of the enterprise. The experiment proves that the electronic commerce synchronous supply chain management information system can effectively improve the efficiency of the system and reduce the cost to a large extent.

Suggested Citation

  • Sun Haitao, 2020. "Big data analysis of e-commerce loan risk of college students in the context of network finance," Information Systems and e-Business Management, Springer, vol. 18(3), pages 439-454, September.
    • Handle: RePEc:spr:infsem:v:18:y:2020:i:3:d:10.1007_s10257-019-00424-9
    DOI: 10.1007/s10257-019-00424-9
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    References listed on IDEAS

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    1. Wang, Juite & Lai, Jung-Yu & Chang, Chih-Hsin, 2016. "Modeling and analysis for mobile application services: The perspective of mobile network operators," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 146-163.
    2. Wei Liu & Li-Qiu Xia, 2017. "An Evolutionary Behavior Forecasting Model for Online Lenders and Borrowers in Peer-to-Peer Lending," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-14, February.
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