학술논문

Linking Artificial Intelligence and Supply Chain Resilience: Roles of Dynamic Capabilities Mediator and Open Innovation Moderator
Document Type
Periodical
Author
Source
IEEE Transactions on Engineering Management IEEE Trans. Eng. Manage. Engineering Management, IEEE Transactions on. 71:8577-8590 2024
Subject
Engineering Profession
Artificial intelligence
Supply chains
Resilience
Business
Information processing
Technological innovation
Stakeholders
Artificial intelligence (AI)
dynamic capabilities (DCs)
open innovation (OI)
supply chain resilience (SCRe)
Language
ISSN
0018-9391
1558-0040
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.