Data-driven operational risk analysis in E-Commerce Logistics

Author:

Xu GangyanORCID,Qiu XuanORCID,Fang Meng,Kou Xiaofei,Yu Ying

Funder

National Natural Science Foundation of China

Harbin Institute of Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference34 articles.

1. Efficient multi-attribute multi-unit auctions for B2B e-commerce logistics;Xu;Prod. Oper. Manage.,2017

2. F. Qian, S. Jia, e-commerce in China – 2017, Tech. rep., Department of Electronic Commerce and Informatization, Ministry of Commerce of the People’s Republic of China, 2018.

3. Optimization based transportation service trading in B2B e-commerce logistics;Zhang;J. Intell. Manuf.,2016

4. Effects of e-commerce channel entry in a two-echelon supply chain: a comparative analysis of single-and dual-channel distribution systems;Lu;Int. J. Prod. Econ.,2015

5. Unstructured big data analytics for retrieving e-commerce logistics knowledge;Wu;Telematics Inf.,2018

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