Big data analytics and application for logistics and supply chain management

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

*Corresponding author for this work

Research output: Contribution to journalEditorialpeer-review

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
JournalTransportation Research Part E: Logistics and Transportation Review
Volume114
Pages (from-to)343-349
ISSN1366-5545
DOIs
Publication statusPublished - 2018

Keywords

  • Big data analytics
  • Logistics
  • Supply chain management

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