The rapid development of Internet technology meant that online supply chain finance has become an important source of small- and medium-sized enterprise (SME) finance. From a review of associated studies, this study constructed an online supply chain financial credit risk evaluation index system that had eleven level 2 indicators and 28 level 3 indicators for the four dimensions of financing enterprise qualification, core enterprise qualification, supply chain operations, and the macroenvironment. To assess the viability of this indicator system, data on 368 SMEs in four industries, clothing, home appliances, pharmaceutical, and construction, were selected as research samples. An online supply chain financial credit risk evaluation model for the different industries was then constructed using principal component analysis (PCA) and logistic regression methods. It was concluded that when evaluating online supply chain financial credit risk, it is necessary to focus on the solvency, profitability, and asset structure efficiencies of the financing enterprises. Due to the different production and operating characteristics of industries, significant variations in the degree and direction of the credit risk factors between industries were found; therefore, evaluating credit risks by industry significantly improved the accuracy of the model’s credit risk predictions. For example, home appliance SMEs need to pay greater attention to their inventory turnover and construction industry SMEs should pay greater attention to their sales growth rate, return on common stockholders’ equity, and GDP growth rate. Based on these results, some suggestions for commercial banks, supply chain core enterprises, and SMEs are given to improve supply chain financing. The conclusion of this study enriches the related research on credit risk assessment of SMEs and also provides decision support for improving SMEs to prevent credit risk.

中文翻译：

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在线供应链金融模式下中小企业信用风险评估

互联网技术的快速发展意味着在线供应链金融已成为中小企业融资的重要来源。本研究在梳理相关研究的基础上，从融资企业资质、核心企业资质、供应链运营、供应链运营四个维度构建了包含11个二级指标和28个三级指标的在线供应链金融信用风险评价指标体系。宏观环境。为评估该指标体系的可行性，选取服装、家电、医药、建筑四大行业的368家中小企业数据作为研究样本。然后利用主成分分析（PCA）和逻辑回归方法构建了针对不同行业的在线供应链金融信用风险评估模型。得出的结论是，在评估在线供应链金融信用风险时，需要关注融资企业的偿付能力、盈利能力和资产结构效率。由于行业生产经营特点不同，行业间信用风险因素的程度和方向存在显着差异；因此，按行业评估信用风险显着提高了模型信用风险预测的准确性。例如，家电中小企业要更加关注存货周转率，建筑业中小企业要更加关注销售增长率、股东权益回报率和GDP增长率。基于这些结果，对商业银行、供应链核心企业和中小企业改进供应链融资提出了建议。本研究结论丰富了中小企业信用风险评估的相关研究，也为提高中小企业信用风险防范能力提供了决策支持。