文献类型：期刊文献

英文题名：Credit Risk Assessment of e-Commerce Supply Chain Finance of SMEs Based on Dynamic Reward and Punishment Perspective

作者：Chen, Baitong[1];Bao, Xinzhong[1];Xu, Kun[1]

第一作者：Chen, Baitong

通讯作者：Xu, K[1]

机构：[1]Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China

第一机构：北京联合大学管理学院

通讯机构：[1]corresponding author), Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China.|[1141755]北京联合大学管理学院;[11417]北京联合大学;

年份：2021

卷号：2021

外文期刊名：DISCRETE DYNAMICS IN NATURE AND SOCIETY

收录：;Scopus(收录号：2-s2.0-85115022407);WOS:【SCI-EXPANDED(收录号:WOS:000695299900001)】；

基金：This work was supported by the Humanities and Social Science Research Youth Project of the Ministry of Education, "Research on Dynamic Early Warning of e-Commerce Platform Supply Chain Financing Risk Driven by Big Data" (20YJC630175).

语种：英文

摘要：In view of problems such as lack of dynamism, limited research subjects, and lack of future development trends in previous studies, the paper takes small and microenterprises (SMEs) as research objects under the background of e-commerce supply chain finance. Based on the perspective of dynamic rewards and punishments, credit rewards and punishment value and time weights are embedded in the static evaluation results obtained by the traditional TOPSIS method. The Grey relative analysis method is used to reflect the development trend of enterprises' credit and to build the traditional TOPSIS model and the credit risk evaluation model of e-commerce supply chain finance of SMEs by the improved TOPSIS method based on the dynamic perspective of rewards and punishments. Finally, the model is applied to SMEs credit risk evaluation of e-commerce supply chain finance to verify the feasibility and rationality of the model.