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
In the era of Big Data, many organisations have successfully leveraged Big Data Analytics (BDA) capabilities to improve their performance. However, past literature on BDA have put limited focus on understanding the capabilities required to extract value from big data. In this context, this paper aims to provide a systematic literature review of BDA capabilities in supply chain and develop the capabilities maturity model. The paper presents the bibliometric and thematic analysis of research papers from 2008 to 2016. This paper contributes in theorizing BDA capabilities in context of supply chain, and provides future direction of research in this field.
Metadata
Item Type: | Article |
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Authors/Creators: |
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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: |
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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: | 11 Nov 2020 16:46 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.tre.2017.04.001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143071 |