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AuthorEdwin Cheng, T. C.
AuthorKamble, Sachin S.
AuthorBelhadi, Amine
AuthorNdubisi, Nelson Oly
AuthorLai, Kee hung
AuthorKharat, Manoj Govind
Available date2023-05-18T11:22:29Z
Publication Date2021-04-05
Publication NameInternational Journal of Production Research
Identifierhttp://dx.doi.org/10.1080/00207543.2021.1906971
CitationEdwin Cheng, T. C., Kamble, S. S., Belhadi, A., Ndubisi, N. O., Lai, K. H., & Kharat, M. G. (2022). Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms. International Journal of Production Research, 60(22), 6908-6922.
ISSN0020-7543
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103547910&origin=inward
URIhttp://hdl.handle.net/10576/43052
AbstractThe digital supply chains enabled by Big Data Analytics (BDA) capabilities have become a business significance to develop a competitive and sustainable supply chain. The implementation of BDA for sustainable supply chains introduces various organisational challenges for the manufacturing firms demanding complementary capabilities. This study presents an investigation of the linkages between BDA capabilities, circular economy (CE) practices, and sustainable supply chain (SSC) flexibility on the SSC performance. Based on a survey of 320 manufacturing organisations, the study presents very interesting results. It is revealed that the BDA does not have a direct effect on sustainable performance. The CE practices and SSC flexibility are significant mediating variables between the BDA capabilities and SSC performance. The BDA is found to drive the implementation of CE practices. Further, CE practices are found to develop SSC flexibility with the BDA complementing these flexibilities.
Languageen
PublisherTaylor & Francis
SubjectBig data analytics
circular economy
supply chain flexibility
supply chain performance
sustainable
TitleLinkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms
TypeArticle
Pagination6908-6922
Issue Number22
Volume Number60
ESSN1366-588X
dc.accessType Full Text


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