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Research on financial risk management model of internet supply chain based on data science

机译:基于数据科学的互联网供应链金融风险管理模式研究

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摘要

The supply chain financial risk management model is established under the Internet financial model, so as to improve the supply chain's ability and resist risks, a financial risk management model of Internet supply chain is proposed based on data science. Firstly, the forms and countermeasures of financial risk in Internet supply chain is analyzed. The data science analysis method is used to analyze the risk management model, and the supply chain financial risk management model is constructed based on the multivariate piecewise regression analysis and the financing decision effectiveness game. The relationship between supply chain financial risk management and enterprise performance is studied under the Internet finance model, the validity of the financing decision of Internet supply chain is analyzed, and it constructs the decision model of Internet supply chain by descriptive statistical analysis method. The fuzzy decision method is used to analyze the risk assessment of Internet supply chain, and the Simunic model is used to analyze the correlation model of risk management in Internet supply chain. In order to improve the risk management ability of Internet supply chain, the statistical analysis and comprehensive decision of risk control are carried out by using piecewise sample regression analysis. The results of empirical data analysis show that the model has good piecewise fit for financial risk management and management of supply chain under Internet financial model, and the accuracy of data evaluation is high. The model is robust for financial risk management and performance evaluation of supply chain. (C) 2019 Published by Elsevier B.V.
机译:供应链财务风险管理模式是在互联网金融模式下建立的,从而提高了互联网供应链的供应链的能力和抵制风险,基于数据科学提出了互联网供应链的金融风险管理模式。首先,分析了互联网供应链中金融风险的形式和对策。数据科学分析方法用于分析风险管理模型,基于多元分段回归分析和融资决策效果游戏构建供应链金融风险管理模型。在互联网金融模式下研究了供应链金融风险管理和企业绩效之间的关系,分析了互联网供应链融资决策的有效性,通过描述统计分析方法构建了互联网供应链的决策模型。模糊判定方法用于分析互联网供应链的风险评估,利用中模型分析互联网供应链风险管理的相关模型。为了提高互联网供应链的风险管理能力,通过使用分段样本回归分析进行风险控制的统计分析和全面决策。经验数据分析结果表明,该模型在互联网金融模式下提供了适合财务风险管理和供应链管理的良好分段,数据评估的准确性很高。该模型对于供应链的财务风险管理和绩效评估是稳健的。 (c)2019年由elestvier b.v发布。

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