基于大数据的嵌入式电子商务平台供应商评价与选择系统

Jiangnan He, Y. Qian, Xiaoyin Yin
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引用次数: 0

摘要

对于电子商务公司来说,借助嵌入式网络平台更容易获得大量的用户行为汇总数据,这些数据中包含有价值的信息,有助于形成有效的决策。本文首先详细介绍了电子商务与供应商的评价与选择;然后提出了层次分析法和熵法;最后,运用层次分析法构建了供应商评价体系和选择体系。本文的实验结果表明,通过层次分析法获得熵AHP权重后,可以对这8家供应商进行排序和选择。采用ABC分类法,根据供应商的排名进行分类。其中,A类供应商占12.5%,在电子商务供应商评价选择体系建设中起着关键作用。
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Supplier Evaluation and Selection System of Embedded E-Commerce Platform Based on Big Data
For e-commerce companies, it is easier to obtain a large amount of aggregated data about user behavior with the help of embedded network platforms, which contains valuable information that helps to form effective decision-making. This article first gives a detailed introduction to the evaluation and selection of e-commerce and suppliers; then puts forward the analytic hierarchy process and entropy method; finally, the AHP analytic method is used to build a supplier evaluation system and a selection system. The experimental results of this paper show that after obtaining the entropy AHP weights through the analytic hierarchy process, these 8 suppliers can be ranked and selected. Using the ABC classification method, classification is based on the ranking of suppliers. Among them, Class A suppliers account for 12.5%, which plays a key role in the construction of the evaluation and selection system of e-commerce suppliers.
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来源期刊
CiteScore
1.90
自引率
43.80%
发文量
59
期刊介绍: The International Journal of Information Systems and Supply Chain Management (IJISSCM) provides a practical and comprehensive forum for exchanging novel research ideas or down-to-earth practices which bridge the latest information technology and supply chain management. IJISSCM encourages submissions on how various information systems improve supply chain management, as well as how the advancement of supply chain management tools affects the information systems growth. The aim of this journal is to bring together the expertise of people who have worked with supply chain management across the world for people in the field of information systems.
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