Abstract

Supply chains play a decisive role in the development of e-commerce. Although site selection problem for e-commerce warehouses is an important aspect of supply chain management, this topic has received insufficient research attention. This paper fills this research gap by proposing an evaluation framework for the e-commerce warehouse site selection. This framework incorporates consumer repurchase intention (CRI) as a key factor in the evaluation to analyze its impact. This study also employs the matter-element evaluation model to classify the levels of alternatives, and then adopts the probabilistic linguistic terms set to optimize the research results. The feasibility and effectiveness of the proposed evaluation framework is validated through a case study of e-commerce warehouse site selection in China. The results of the case study demonstrate the performance of the proposed framework and highlight the significant impact of CRI on the evaluation outcomes. The proposed framework makes full use of the evaluation information and significantly improves the differences between adjacent alternatives, which can enhance the credibility and accuracy of decision results to provide a more reliable alternative ranking for decision makers.

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