Big data analytics and application for logistics and supply chain management

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

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.

Citation

Govindan, K., Cheng, T., Mishra, N., & Shukla, N. (2018). Big data analytics and application for logistics and supply chain management. Transportation Research Part E: Logistics and Transportation Review, 114, 343-349. https://doi.org/10.1016/j.tre.2018.03.011

• Journal Article Type: Editorial
• Acceptance Date: Mar 23, 2018
• Online Publication Date: May 10, 2018
• Publication Date: Jun 1, 2018
• Deposit Date: Aug 8, 2018
• Publicly Available Date: May 11, 2019
• Journal: Transportation Research Part E: Logistics and Transportation Review
• Electronic ISSN: 1366-5545
• Publisher: Elsevier
• Peer Reviewed: Not Peer Reviewed
• Volume: 114
• Pages: 343-349
• DOI: https://doi.org/10.1016/j.tre.2018.03.011
• Keywords: Big data analytics; Supply chain management; Logistics
• Public URL: https://hull-repository.worktribe.com/output/972872
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1366554518302606?via%3Dihub
• Additional Information: This article is maintained by: Elsevier; Article Title: Big data analytics and application for logistics and supply chain management; Journal Title: Transportation Research Part E: Logistics and Transportation Review; CrossRef DOI link to publisher maintained version: http://dx.doi.org/10.1016/j.tre.2018.03.011; Content Type: simple-article; Copyright: © 2018 Elsevier Ltd. All rights reserved.
• Contract Date: Aug 9, 2018