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E-Commerce Enterprise Supply Chain Financing Risk Assessment Based on Linked Data Mining and Edge Computing  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:E-Commerce Enterprise Supply Chain Financing Risk Assessment Based on Linked Data Mining and Edge Computing

作者:Qu, Qiao[1];Liu, Cheng[1];Bao, Xinzhong[2]

第一作者:Qu, Qiao

通讯作者:Qu, Q[1]

机构:[1]Univ Sci & Technol Beijing, Sch Econ & Management, Beijing 100083, Peoples R China;[2]Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China

第一机构:Univ Sci & Technol Beijing, Sch Econ & Management, Beijing 100083, Peoples R China

通讯机构:[1]corresponding author), Univ Sci & Technol Beijing, Sch Econ & Management, Beijing 100083, Peoples R China.

年份:2021

卷号:2021

外文期刊名:MOBILE INFORMATION SYSTEMS

收录:;EI(收录号:20212310461129);Scopus(收录号:2-s2.0-85107208238);WOS:【SSCI(收录号:WOS:000669016700007),SCI-EXPANDED(收录号:WOS:000669016700007)】;

语种:英文

外文关键词:Edge computing - Electronic commerce - Environmental management - Finance - Fuzzy neural networks - Linked data - Regression analysis - Risk assessment - Risk management - Supply chains

摘要:In recent years, the rapid development of information technology has affected the way the world economy operates. The emergence of e-commerce has greatly shortened the time and space distance between economic participants and maximized the sharing of resources. However, the financial management and risk assessment capabilities of the existing supply are insufficient to adapt to the rapidly developing new environment. This article uses a combination of normative analysis and empirical analysis to analyze the status quo of the supply chain of small and medium e-commerce companies. First, this article establishes an evaluation framework for the supply chain of e-commerce companies based on edge computing. Second, according to the distribution of the supply chain, this article adds the member's predetermined quota, reputation, execution time, and other indicators as parameters to establish a fuzzy neural network model. On this basis, combined with the price regression model, the pricing plan is evaluated. The results show that the financing risk obtained by this model differs very little from the actual risk. The above-mentioned model constructs an e-commerce enterprise supply chain financing risk management model that adapts to the environment of the new era.

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