适度
弹性(材料科学)
知识管理
业务
产业组织
供应链
计算机科学
营销
热力学
机器学习
物理
作者
Thanh Tiep Le,Abhishek Behl
标识
DOI:10.1109/tem.2023.3348274
摘要
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 are increasing, understanding how AI adoption can contribute value to SCRe needs further study. This study aims to bridge the gap by examining an integrated framework of factors conceptually assumed to enable SCRe improvement. Grounded in information processing theory (IPT) and dynamic capabilities view (DCV) perspective, conceptually, AI has a relationship with SCRe; simultaneously, dynamic capabilities (DC) mediates 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 to building lasting SCRe based on DC development.
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