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.

中文翻译：

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基于链接数据挖掘和边缘计算的电子商务企业供应链融资风险评估

近年来，信息技术的飞速发展已经影响了世界经济的运作方式。电子商务的出现大大缩短了经济参与者之间的时间和空间距离，并最大程度地实现了资源共享。但是，现有供应的财务管理和风险评估能力不足以适应快速发展的新环境。本文将规范分析与实证分析相结合，来分析中小型电子商务公司供应链的现状。首先，本文建立了基于边缘计算的电子商务公司供应链评估框架。其次，根据供应链的分布情况，本文添加了成员​​的预定配额，声誉，执行时间，以其他指标为参数建立模糊神经网络模型。在此基础上，结合价格回归模型，对定价计划进行评估。结果表明，该模型获得的融资风险与实际风险相差很小。上述模型构建了适应新时代环境的电子商务企业供应链融资风险管理模型。