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

Twinkle Singh (), Jeanne Poulose and Vinod Sharma
Additional contact information
Twinkle Singh: Christ University
Jeanne Poulose: Christ University
Vinod Sharma: Symbiosis International (Deemed University)

Chapter Chapter 13 in Data-Driven Decision Making, 2024, pp 275-305 from Springer

Abstract: 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.

Keywords: Big data analytics; Supply chain management; Technology integration; Digital supply chain management (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-2902-9_13

Ordering information: This item can be ordered from
http://www.springer.com/9789819729029

DOI: 10.1007/978-981-97-2902-9_13

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().