Big Data Analytics for Supply Chain Management: A Literature Review and Research Agenda

نویسندگان

  • Samuel Fosso Wamba
  • Shahriar Akter
چکیده

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.

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تاریخ انتشار 2015