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Harnessing the Power of Big Data Analytics to Transform Supply Chain Management

In: Data-Driven Decision Making

Author

Listed:
  • Twinkle Singh

    (Christ University)

  • Jeanne Poulose

    (Christ University)

  • Vinod Sharma

    (Symbiosis International (Deemed University))

Abstract

The study aims to conduct a systematic literature review and bibliography analysis to explore the role of big data analytics in transforming supply chain management. The systematic literature review was conducted according to the PRISMA guidelines extended into a three-phase approach. The articles were reviewed from different databases like Scopus, Web of Science, and ABDC. 239 articles were reviewed through abstract screening, and 191 articles were finally selected after full-text screening. The results of the analysis reflected the publication trend from January 2011 to January 2024, keyword analysis, co-citation and network analysis, and theme identification from the domain. Moreover, the study theoretically contributes by suggesting growing trends in the field of supply chain management, and the managerial implications of the study suggest the benefits of implementing big data analytics in supply chain management.

Suggested Citation

  • Twinkle Singh & Jeanne Poulose & Vinod Sharma, 2024. "Harnessing the Power of Big Data Analytics to Transform Supply Chain Management," Springer Books, in: Jeanne Poulose & Vinod Sharma & Chandan Maheshkar (ed.), Data-Driven Decision Making, chapter 0, pages 275-305, Springer.
    • Handle: RePEc:spr:sprchp:978-981-97-2902-9_13
    DOI: 10.1007/978-981-97-2902-9_13
    as

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