Linking Artificial Intelligence and Supply Chain Resilience: Roles of Dynamic Capabilities Mediator and Open Innovation Moderator

Tiep Le, Thanh; Behl, Abhishek

Abstract

The uncertain and rapidly changing environment raises deep concerns about supply chain resilience (SCRe). Particularly in the small and medium enterprises (SMEs) settings, the lack of resources of SMEs becomes more pressure when considering SCRe. Although the literature on supply chain management and SCRe is increasing, understanding how artificial intelligence (AI) adoption can contribute value to SCRe needs further study. In this article, we aim to bridge the gap by examining an integrated framework of factors conceptually assumed to enable SCRe improvement. Grounded in information processing theory and dynamic capabilities view perspective, conceptually, AI has a relationship with SCRe; simultaneously, dynamic capabilities (DCs) mediate this relationship, and open innovation (OI) moderates the influence of AI on DC. The findings of this study suggest that, in the face of disruption and an uncertain environment, AI is a strategic tool for firms to improve DC and, ultimately, SCRe. Additionally, OI plays a moderation role in the impact of AI on DC. Drawn upon the knowledge-practice gap in this field, this study is among the few currently providing empirical evidence on optimizing AI benefits for building lasting SCRe based on DC development.

Citation

Tiep Le, T., & Behl, A. (2023). Linking Artificial Intelligence and Supply Chain Resilience: Roles of Dynamic Capabilities Mediator and Open Innovation Moderator. IEEE Transactions on Engineering Management, 71, 8577 - 8590. https://doi.org/10.1109/TEM.2023.3348274

• Journal Article Type: Article
• Acceptance Date: Dec 13, 2023
• Online Publication Date: Dec 29, 2023
• Publication Date: Dec 29, 2023
• Deposit Date: Jul 24, 2024
• Journal: IEEE Transactions on Engineering Management
• Print ISSN: 0018-9391
• Electronic ISSN: 1558-0040
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Volume: 71
• Pages: 8577 - 8590
• DOI: https://doi.org/10.1109/TEM.2023.3348274
• Keywords: Artificial intelligence , Supply chains , Resilience , Business , Information processing , Technological innovation , Stakeholders
• Public URL: https://keele-repository.worktribe.com/output/878316