Abstract
Drawing on the hierarchical dynamic capabilities view, this study empirically examines the mechanism through which artificial intelligence (AI) assimilation translates into supply chain resilience (SCR). Analysis of data collected from 287 supply chain executives in China revealed that the resilience benefits of AI were realized primarily through the enhancement of specific organizational capabilities rather than direct technological application alone. The results demonstrated that the influence of AI assimilation on SCR was predominantly indirect, channeled through supply chain alertness (SCA) and supply chain disruption orientation (SCDO). A critical finding was that SCA mediated this relationship significantly more effectively than SCDO, suggesting that the immediate ability to sense and anticipate changes is a more vital driver of resilience than disruption orientation. These insights offer a strategic roadmap for managers, indicating that to maximize the resilience benefits of AI, organizations should prioritize the development of sensing-oriented capabilities.
Keywords
Get full access to this article
View all access options for this article.
References
Supplementary Material
Please find the following supplemental material available below.
For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.
For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.
