E-commerce logistics distribution mode in big-data context: A case analysis of JD.COM
Document Type
Article
Publication Date
4-1-2020
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
Citation Information
Zheng, K., Zhang, Z.J., & Song, B. (2020). E-commerce logistics distribution mode in big-data context: A case analysis of JD.COM. Industrial Marketing Management, 86, 154-162.