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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财务风险管理模型研究

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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:在互联网财务模型的基础上建立了供应链财务风险管理模型,以提高供应链的能力和抵御风险的能力,提出了一种基于数据科学的互联网供应链财务风险管理模型。首先,分析了互联网供应链中金融风险的形式和对策。利用数据科学分析方法对风险管理模型进行了分析,并基于多元分段回归分析和融资决策有效性博弈,构建了供应链财务风险管理模型。在互联网财务模型下研究了供应链财务风险管理与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,并采用描述性统计分析方法构建了互联网供应链决策模型。采用模糊决策法对互联网供应链的风险评估进行分析,采用Simunic模型对互联网供应链风险管理的相关模型进行分析。为了提高互联网供应链的风险管理能力,采用分段样本回归分析进行了统计分析和风险控制的综合决策。经验数据分析结果表明,该模型在互联网财务模型下,适用于金融风险管理和供应链管理的分段拟合,数据评估的准确性较高。该模型对于财务风险管理和供应链绩效评估具有鲁棒性。 (C)2019由Elsevier B.V.发布

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