Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review

Zamani, E. orcid.org/0000-0003-3110-7495, Smyth, C., Gupta, S. et al. (1 more author) (2023) Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review. Annals of Operations Research, 327 (2). pp. 605-632. ISSN 0254-5330

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Item Type: Article
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© 2022 The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. This is an author-produced version of a paper subsequently published in Annals of Operations Research. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: artificial intelligence; supply chain resilience; big data analytics; systematic literature review; emerging technologies; supply chain disruptions
Dates:
  • Published: August 2023
  • Published (online): 30 September 2022
  • Accepted: 6 September 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 20 Sep 2022 16:24
Last Modified: 25 Sep 2024 13:50
Status: Published
Publisher: Springer (part of Springer Nature)
Refereed: Yes
Identification Number: 10.1007/s10479-022-04983-y
Open Archives Initiative ID (OAI ID):

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