基于大数据分析技术的电子商务供应商选择研究

Research on E-commerce supplier selection based on big data analysis technology

针对电子商务供应商原有选择方法特征抓取不全面的问题,提出大数据分析技术的电子商务供应商智能选择方法。过滤并优化外部信息,减少无效数据干扰,分析供应商选择的影响因素,根据电子商务特性搭建供应商选择指标体系,采用层次分析法确定指标权重,建立判断矩阵,构建智能选择模型。实验结果表明,所提出的智能选择方法能够准确抓取供应商财务状况数据信息,弥补了原有方法特征抓取不全面的问题,为电子商务企业与供应商间的良好合作关系夯实了基础。

In view of incomplete feature capture of the original method of E-commerce supplier selection,an intelligent Ecommerce supplier selection method based on the big data analysis technology is proposed.In term of the method,the external information is filtered and optimized to reduce the interference of invalid data,the influencing factors of supplier selection are analyzed,a supplier selection index system is set up according to the characteristics of E-commerce,and the analytic hierarchy process is adopted to determine the index weight,establish the judgment matrix and build the intelligent selection model.The experimental results show that the proposed intelligent selection method can accurately capture the information on supplier′s financial situation,which makes up for the incomplete feature capture of the original method and lays a solid foundation for good cooperative relationship between E-commerce enterprises and suppliers.