How Does Digital Intelligence Technology Enhance Supply Chain Resilience? Sustainable Framework and Agenda

Huamin Wu, Guo Li and Hong Zheng ()
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Huamin Wu: China University of Petroleum-Beijing, School of Economics and Management
Guo Li: Beijing Institute of Technology, School of Management
Hong Zheng: Beijing Institute of Technology, School of Management

Annals of Operations Research, 2025, vol. 355, issue 1, No 32, 923 pages

Abstract: Abstract In a highly competitive and risky business environment, firms are currently focusing on the construction and investment of sustainable supply chain. Supply chain resilience management (SCRM), as the key factor in building sustainable supply chain, is crucial for firms to gain a competitive edge and adapt to changes. SCRM involves establishing a flexible, adaptable and sustainable supply network under uncertainty and risk to ensure continuous supply and a rapid response to market demand. However, SCRM faces a series of challenging factors, including unstable market demand, natural disasters, and political uncertainty. Digital intelligence technologies, such as big data analytics, the Internet of Things, artificial intelligence, and blockchain, have strong potential to improve the visibility, forecasting capability, and decision support of the supply chain. However, despite having a plethora of literature on the instrumental role of digital intelligence technologies in building supply chain performance, the literature still lacks comprehensive thinking and a theoretical framework for the construction of digital intelligence technology applications and their empowerment mechanisms in developing SCRM. In this study, the underpinning elements and principles for the SCRM framework are first provided. Then, we analyze the empowerment mechanism and challenges of digital intelligence technology in SCRM, and put forward corresponding solutions. Afterward, some of the notable gaps are discussed, and a comprehensive direction for future research is proposed using the SCRM framework empowered by digital intelligence technology.

Keywords: Supply chain management; Sustainable; Resilience; Digital intelligence technology (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10479-024-06104-3

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