Title

E-commerce logistics distribution mode in big-data context: A case analysis of JD.COM

Document Type

Article

Publication Date

4-1-2020

Subject Area

ARRAY(0x55c823e57480)

Abstract

This paper analyzes the existing distribution modes adopted by China's e-commerce enterprises. Based on the empirical analysis of the electronic mall at JD.com (Jing-Dong), this paper compares and investigates the different logistics distribution modes faced by e-commerce enterprises embracing the new features, new challenges, and new advantages of big data. The Analytic Hierarchy Process (AHP) method and entropy value are applied to investigate the e-commerce enterprise distribution choice mode and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method is used to verify the model. Our research analysis and results bear strong managerial insights for e-commerce logistics distribution practitioners.

Publication Title

Industrial Marketing Management

Volume

86

First Page

154

Last Page

162

Digital Object Identifier (DOI)

10.1016/j.indmarman.2019.10.009

ISSN

00198501

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