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 publicationEditorialAcademic research

82 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 languageEnglish
Pages (from-to)343-349
Number of pages7
JournalTransportation Research Part E: Logistics and Transportation Review
Volume114
DOIs
Publication statusPublished - Jun 2018

Keywords

  • Big data analytics
  • Logistics
  • Supply chain management

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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