Big data analytics and application for logistics and supply chain management

Kannan Govindan; T. C.E. Cheng; Nishikant Mishra; Nagesh Shukla

doi:10.1016/j.tre.2018.03.011

Big data analytics and application for logistics and supply chain management

Kannan Govindan, T. C.E. Cheng, Nishikant Mishra, Nagesh Shukla

Research output: Journal article publication › Editorial

209 Citations (Scopus)

Abstract

This special issue explores big data analytics and applications for logistics and supply chain management by examining novel methods, practices, and opportunities. The articles present and analyse a variety of opportunities to improve big data analytics and applications for logistics and supply chain management, such as those through exploring technology-driven tracking strategies, financial performance relations with data driven supply chains, and implementation issues and supply chain capability maturity with big data. This editorial note summarizes the discussions on the big data attributes, on effective practices for implementation, and on evaluation and implementation methods.

Original language	English
Pages (from-to)	343-349
Number of pages	7
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	114
DOIs	https://doi.org/10.1016/j.tre.2018.03.011
Publication status	Published - Jun 2018

Keywords

Big data analytics
Logistics
Supply chain management

ASJC Scopus subject areas

Business and International Management
Civil and Structural Engineering
Transportation

More information

10.1016/j.tre.2018.03.011

Cite this

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Big data analytics and application for logistics and supply chain management

Abstract

Keywords

ASJC Scopus subject areas

More information

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