文献类型：期刊文献

英文题名：SMEs credit evaluation in the E-commerce supply chain financing model

作者：Xu, Kun[1,2]; Ding, Huiping[1]; Bao, Xinzhong[2]

第一作者：Xu, Kun;徐鲲

通讯作者：Xu, Kun

机构：[1] School of economic management, Beijing Jiaotong university, Beijing, China; [2] Management school, Beijing Union University, Beijing, China

第一机构：School of economic management, Beijing Jiaotong university, Beijing, China

年份：2016

卷号：2016

期号：E7

起止页码：35-46

外文期刊名：RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

收录：EI(收录号：20170103211932)

语种：英文

外文关键词：Big data - Commerce - Decision making - Electronic commerce - Rough set theory - Supply chains

摘要：With the rapid development of the Internet economy, the supply chain financing model under the background of e-commerce plays an increasingly important role in cracking the financing difficulties of small and medium-sized enterprises (SMEs). Whether the credit of SMEs can be evaluated according to the big data resources of e-commerce platforms has become the core issue in the operation of the supply chain financing model. Based on current circumstances and characteristics of e-commerce supply chain financing, this paper focuses on studying credit evaluation for SMEs. The rough set theory is used to construct an evaluation index system and determine the objective weight of each index. The comprehensive weight of each evaluated index is determined by combining with subjective weighting, and finally SMEs credit evaluation is implemented based on the comprehensive weight and the standardized decision-making matrix. Feasibility and effectiveness of the method are confirmed through case test. ? AISTI 2016.