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Big data analytics for supply chain management: A literature review and research agenda

Chapter


Abstract


  • The main objective of this study is to provide a literature review of big data analytics for supply chain management. A review of articles related to the topics was done within SCOPUS, the largest abstract and citation database of peer-reviewed literature. Our search found 17 articles. The distribution of articles per year of publication, subject area, and affiliation, as well as a summary of each paper are presented. We conclude by highlighting future research directions where the deployment of big data analytics is likely to transform supply chain management practices.

Publication Date


  • 2015

Citation


  • Fosso Wamba, S. & Akter, S. (2015). Big data analytics for supply chain management: A literature review and research agenda. In J. Barjis, R. Pergl & E. Babkin (Eds.), Enterprise and Organizational Modeling and Simulation (pp. 61-72). Switzerland: Springer International Publishing.

International Standard Book Number (isbn) 13


  • 9783319246253

Scopus Eid


  • 2-s2.0-84951264271

Ro Metadata Url


  • http://ro.uow.edu.au/buspapers/833

Book Title


  • Enterprise and Organizational Modeling and Simulation

Has Global Citation Frequency


Start Page


  • 61

End Page


  • 72

Place Of Publication


  • Switzerland

Abstract


  • The main objective of this study is to provide a literature review of big data analytics for supply chain management. A review of articles related to the topics was done within SCOPUS, the largest abstract and citation database of peer-reviewed literature. Our search found 17 articles. The distribution of articles per year of publication, subject area, and affiliation, as well as a summary of each paper are presented. We conclude by highlighting future research directions where the deployment of big data analytics is likely to transform supply chain management practices.

Publication Date


  • 2015

Citation


  • Fosso Wamba, S. & Akter, S. (2015). Big data analytics for supply chain management: A literature review and research agenda. In J. Barjis, R. Pergl & E. Babkin (Eds.), Enterprise and Organizational Modeling and Simulation (pp. 61-72). Switzerland: Springer International Publishing.

International Standard Book Number (isbn) 13


  • 9783319246253

Scopus Eid


  • 2-s2.0-84951264271

Ro Metadata Url


  • http://ro.uow.edu.au/buspapers/833

Book Title


  • Enterprise and Organizational Modeling and Simulation

Has Global Citation Frequency


Start Page


  • 61

End Page


  • 72

Place Of Publication


  • Switzerland