AI-driven resilience in revolutionizing supply chain management: A systematic literature review

In today’s fast-moving, disrupted business environment, supply chain risk management is crucial. More critically, Industry 4.0 has conferred competitive advantages on supply chains through the integration of digital technologies into manufacturing and logistics, but it also implies several challenges and opportunities regarding the management of these risks. This paper looks at some ways emerging technologies, especially Artificial Intelligence (AI), help address pressing concerns about the management of risk and sustainability in logistics and supply chains. The study, using a systemic literature review (SLR) backed by a mapping study based on the Scopus database, reveals the main themes and gaps of prior studies. The findings indicate that AI can substantially enhance resilience through early risk identification, optimizing operations, enriching decision-making, and ensuring transparency throughout the value chain. The key message from the study is to bring out what technology contributes to rendering supply chains resilient against today’s uncertainties.

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Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-12-23
DOI
https://doi.org/10.24294/jipd9474
Citations
4
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
2.22
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article

AI-driven resilience in revolutionizing supply chain management: A systematic literature review

László Buics, Edit Süle, Ibrahim Alsakhen
4 citations
Journal of Infrastructure Policy and Development
Supply Chain Resilience and Risk Management
2.22
article

AI-driven resilience in revolutionizing supply chain management: A systematic literature review

László Buics, Edit Süle, Ibrahim Alsakhen
article en
4 citations

Abstract

In today’s fast-moving, disrupted business environment, supply chain risk management is crucial. More critically, Industry 4.0 has conferred competitive advantages on supply chains through the integration of digital technologies into manufacturing and logistics, but it also implies several challenges and opportunities regarding the management of these risks. This paper looks at some ways emerging technologies, especially Artificial Intelligence (AI), help address pressing concerns about the management of risk and sustainability in logistics and supply chains. The study, using a systemic literature review (SLR) backed by a mapping study based on the Scopus database, reveals the main themes and gaps of prior studies. The findings indicate that AI can substantially enhance resilience through early risk identification, optimizing operations, enriching decision-making, and ensuring transparency throughout the value chain. The key message from the study is to bring out what technology contributes to rendering supply chains resilient against today’s uncertainties.

Journal of Infrastructure Policy and DevelopmentVol. 8(16)
Széchenyi István University (HU)
Openalex Percentile: Top 9%
Supply Chain Resilience and Risk Management
2.22
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