Big data analytics for supply chain management: A literature review and research agenda
RIS ID
104645
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 Details
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.