Research on the Mechanism and Path of Digital Transformation Empowering Supply Chain Resilience
- DOI
- 10.2991/978-94-6239-699-9_53How to use a DOI?
- Keywords
- Digital transformation; supply chain resilience; risk management; resource collaboration; dynamic capability; Information collaboration; Risk resistance
- Abstract
Against the backdrop of rising global uncertainty, supply chain resilience has become a core competitive capability for sustainable enterprise operations. Traditional efficiency-oriented supply chains often exhibit significant vulnerability to external shocks. In contrast, digital transformation—driven by big data, IoT, and AI—offers a promising pathway to enhance supply chain resilience. Based on the resource-based view and dynamic capability theory, this paper systematically analyzes the enabling mechanisms through which digital transformation enhances supply chain resilience, and explores practical paths for enterprises. The research finds that digital transformation breaks down information barriers, optimizes resource allocation, and strengthens cross-node collaboration, thereby improving risk resistance, recovery capability, and adaptability. This study provides theoretical insights and practical references for enterprises seeking to build highly resilient supply chains through digital reform.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), 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 - Tianzhi Zeng PY - 2026 DA - 2026/06/02 TI - Research on the Mechanism and Path of Digital Transformation Empowering Supply Chain Resilience BT - Proceedings of the 2026 4th International Conference on Digital Economy and Management Science (CDEMS 2026) PB - Atlantis Press SP - 493 EP - 500 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-699-9_53 DO - 10.2991/978-94-6239-699-9_53 ID - Zeng2026 ER -