Research on the Impact of Artificial Intelligence Applications on Corporate Supply Chain Resilience: Based on the Paths of Resilience Formation
- DOI
- 10.2991/978-2-38476-611-6_78How to use a DOI?
- Keywords
- Artificial Intelligence; Supply Chain Resilience; Resource Integration Capability; Market Competitiveness; Digital Transformation
- Abstract
Based on data from A-share listed firms in Sichuan Province (2015–2025), this study constructs a supply chain resilience index covering resistance, recovery, and development capabilities. Empirical results show that AI application significantly enhances enterprise supply chain resilience, with robustness confirmed through various tests and instrumental variable methods. Mechanism analysis reveals three mediating paths: internal resource integration, external resource integration, and market competitiveness. Heterogeneity analysis indicates that the positive effect of AI is stronger in non-state-owned enterprises, technology-intensive firms, and those with higher digital transformation levels. These findings provide strategic insights for building secure and stable supply chains under overlapping risks and offer policy implications for differentiated industrial policies and the development of digital-intelligent supply chains.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 3.0 International License (http://creativecommons.org/licenses/by-nc/3.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ye Huang AU - Yanling Sun PY - 2026 DA - 2026/09/07 TI - Research on the Impact of Artificial Intelligence Applications on Corporate Supply Chain Resilience: Based on the Paths of Resilience Formation BT - Proceedings of the 2026 12th International Conference on Digital Humanities and Frontiers in Social Sciences (DHFSS 2026) PB - Atlantis Press SP - 704 EP - 718 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-611-6_78 DO - 10.2991/978-2-38476-611-6_78 ID - Huang2026 ER -