Big data optimisation and management in supply chain management: a systematic literature review

The increasing interest from technology enthusiasts and organisational practitioners in big data applications in the supply chain has encouraged us to review recent research development. This paper proposes a systematic literature review to explore the available peer-reviewed literature on how big d...

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Bibliographic Details
Published in:The Artificial intelligence review 2023-10, Vol.56 (Suppl 1), p.253-284
Main Authors: Alsolbi, Idrees, Shavaki, Fahimeh Hosseinnia, Agarwal, Renu, Bharathy, Gnana K, Prakash, Shiv, Prasad, Mukesh
Format: Article
Language:English
Subjects:
Artificial Intelligence
Bibliometrics
Big Data
Computer Science
Content analysis
Literature reviews
Logistics
Optimization
Questions
Supply chain management
Supply chains
Systematic review
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Summary:The increasing interest from technology enthusiasts and organisational practitioners in big data applications in the supply chain has encouraged us to review recent research development. This paper proposes a systematic literature review to explore the available peer-reviewed literature on how big data is widely optimised and managed within the supply chain management context. Although big data applications in supply chain management appear to be often studied and reported in the literature, different angles of big data optimisation and management technologies in the supply chain are not clearly identified. This paper adopts the explanatory literature review involving bibliometric analysis as the primary research method to answer two research questions, namely: (1) How to optimise big data in supply chain management? and (2) What tools are most used to manage big data in supply chain management? A total of thirty-seven related papers are reviewed to answer the two research questions using the content analysis method. The paper also reveals some research gaps that lead to prospective future research directions.
ISSN:0269-2821
1573-7462
DOI:10.1007/s10462-023-10505-4