Strengthening Supply Chain Resilience from Dynamic Capability View: Role of Artificial Intelligence Assimilation
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.
Authors
- Xingwei Lu (ORCID: https://orcid.org/0000-0002-5403-8608)
- Fan Wu
- X H Xu
- Cuicui Cao
Institutions
- Huazhong Agricultural University (CN)
- Hubei University Of Economics (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Transportation Research Record Journal of the Transportation Research Board
- Published
- 2026-05-11
- DOI
- https://doi.org/10.1177/03611981261436639
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00