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

Huamin Wu, Guo Li, Hong Zheng*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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.

Original languageEnglish
JournalAnnals of Operations Research
DOIs
Publication statusAccepted/In press - 2024

Keywords

  • Digital intelligence technology
  • Resilience
  • Supply chain management
  • Sustainable

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