Risk Assessment and Management Strategies for Supply Chain Disruptions in the Digital Intelligence

DOI

10.2991/978-94-6239-703-3_2How to use a DOI?

Keywords

Digitalization; Supply Chain Disruption Risk; Concentration; Visibility

Abstract

Global supply chains face increasing disruption risks due to pandemics, geopolitical tensions, and extreme weather events. This study examines whether digitalization mitigates supply chain disruption risk, using panel data of Chinese A-share manufacturing firms from 2010 to 2023. A fixed-effects regression framework is applied, with disruption risk as the dependent variable, a text-based digitalization index as the core explanatory variable, and supply chain concentration and visibility as moderators. The study adopts a fixed-effects regression model to construct an analytical framework, with supply chain disruption risk set as the dependent variable and the results show that digitalization significantly reduces disruption risk, supporting its role as a dynamic capability. Moreover, high supply chain concentration weakens this effect, while greater visibility strengthens it. These findings remain robust under alternative specifications, lagged models, and instrumental variable estimation. The study contributes to theory by integrating dynamic capability, resource-based, and network perspectives, and provides practical implications for enhancing supply chain resilience through digital investment, structural diversification, and transparency.

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.

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TY  - CONF
AU  - Yu Huang
PY  - 2026
DA  - 2026/06/08
TI  - Risk Assessment and Management Strategies for Supply Chain Disruptions in the Digital Intelligence
BT  - Proceedings of the 2026 2nd International Conference on Engineering Management and Safety Engineering (EMSE 2026)
PB  - Atlantis Press
SP  - 4
EP  - 14
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-703-3_2
DO  - 10.2991/978-94-6239-703-3_2
ID  - Huang2026
ER  -