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Supplier Evaluation and Selection System of Embedded E-Commerce Platform Based on Big Data

Supplier Evaluation and Selection System of Embedded E-Commerce Platform Based on Big Data

Jiangnan He, Ying Qian, Xiaoyin Yin
Copyright: © 2022 |Volume: 15 |Issue: 2 |Pages: 18
ISSN: 1935-5726|EISSN: 1935-5734|EISBN13: 9781683180258|DOI: 10.4018/IJISSCM.287629
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MLA

He, Jiangnan, et al. "Supplier Evaluation and Selection System of Embedded E-Commerce Platform Based on Big Data." IJISSCM vol.15, no.2 2022: pp.1-18. http://doi.org/10.4018/IJISSCM.287629

APA

He, J., Qian, Y., & Yin, X. (2022). Supplier Evaluation and Selection System of Embedded E-Commerce Platform Based on Big Data. International Journal of Information Systems and Supply Chain Management (IJISSCM), 15(2), 1-18. http://doi.org/10.4018/IJISSCM.287629

Chicago

He, Jiangnan, Ying Qian, and Xiaoyin Yin. "Supplier Evaluation and Selection System of Embedded E-Commerce Platform Based on Big Data," International Journal of Information Systems and Supply Chain Management (IJISSCM) 15, no.2: 1-18. http://doi.org/10.4018/IJISSCM.287629

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Abstract

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.