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



Arunachalam, Deepak, Kumar, Niraj ORCID: 0000-0002-7918-5188 and Kawalek, John Paul
(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. 416 - 436.

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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.

Item Type: Article
Uncontrolled Keywords: Supply chain management, Big data analytics, Capabilities, Maturity model
Depositing User: Symplectic Admin
Date Deposited: 03 Jul 2017 07:59
Last Modified: 12 May 2021 05:10
DOI: 10.1016/j.tre.2017.04.001
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3008286