Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice

Arunachalam, D, Kumar, N and Kawalek, JP (2018) Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice. Transportation Research Part E: Logistics and Transportation Review, 114. pp. 416-436. ISSN 1366-5545

Abstract

Metadata

Authors/Creators:
  • Arunachalam, D
  • Kumar, N
  • Kawalek, JP
Copyright, Publisher and Additional Information: © 2017 Elsevier Ltd. This is an author produced version of a paper published in Transportation Research Part E: Logistics and Transportation Review. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Supply chain management; Big data analytics; Capabilities; Maturity model;
Dates:
  • Published: June 2018
  • Accepted: 3 April 2017
  • Published (online): 15 May 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Logistics, Info, Ops and Networks (LION) (LUBS)
Depositing User: Symplectic Publications
Date Deposited: 28 Feb 2019 11:52
Last Modified: 28 Feb 2019 11:52
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.tre.2017.04.001

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