#4988. Supplier evaluation and selection system of embedded e-commerce platform based on big data

July 2026publication date
Proposal available till 20-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Management Information Systems;
Management Science and Operations Research;
Computer Science Applications;
Information Systems and Management;
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
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 Hierarchy Process) 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 eight 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.
Keywords:
Analytic Hierarchy Process; Big Data; E-Commerce Platform; Entropy Method Supplier Evaluation System

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