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Research on Cross-border E-commerce Platform Supplier Credit Evaluation Based on Big Data Interconnection
Author(s) -
Yiwen Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1601/3/032037
Subject(s) - big data , e commerce , business , order (exchange) , work (physics) , perspective (graphical) , computer science , finance , data mining , world wide web , engineering , artificial intelligence , mechanical engineering
This paper first analyzes credit assessment of cross-border E-commerce platform suppliers based on big data from two aspects: credit evaluation index system and credit evaluation model. On this basis, this paper summarizes the recommendations of supplier credit assessment for cross-border E-commerce platform based on big data, in order to provide reference for the work of supplier credit assessment for cross-border E-commerce platform from the perspective of big data, hoping that this study can help promote the cross-border E-commerce platform construction and cross-border E-commerce industry development.

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