Research on Identifying Key Elements of Emergency Supply Chain Resilience Based on DEMATEL-ISM and Complex Networks

Authors

  • Jiaxin Li School of Management Science and Engineering, Anhui University of Technology, China https://orcid.org/0009-0003-2926-4907
  • Hao Sun School of Management Science and Engineering, Anhui University of Technology, China https://orcid.org/0000-0002-3871-1954
  • Fuyu Wang School of Management Science and Engineering, Anhui University of Technology, China; Key Laboratory of Multidisciplinary Management and Control of Complex Systems of Anhui Higher Education Institutes, China https://orcid.org/0000-0001-8830-0857

DOI:

https://doi.org/10.59490/pss.2.2026.8695

Keywords:

Emergency supply chain, Resilience, Critical factors identification, DEMATEL-ISM method, Complex network

Abstract

In the context of normalized prevention and control of public emergencies, enhancing the resilience of emergency supply chains holds significant theoretical value and practical implications. To reveal the relative importance of resilience factors, this study establishes an integrated analytical framework for emergency supply chain resilience. First, key resilience factors were extracted through text mining of relevant literature from the China National Knowledge Infrastructure and Web of Science databases. Then, the DEMATEL-ISM method was employed to construct a multi-level hierarchical structure model, clarifying the interrelationships among factors. Finally, based on complex network theory, the comprehensive influence of nodes was evaluated, and the critical elements were identified and analyzed with corresponding recommendations. The results indicate that reserve facility construction efficiency, intelligent early warning and detection capability, accuracy of emergency demand statistics, emergency coordination and cooperation capability, and emergency plan completeness are the key factors of emergency supply chain resilience. The proposed integrated approach of “text mining-system modeling-network analysis” enables the systematic identification of resilience factors and provides a decision-support tool for building resilient supply chain systems.

One sentence summary: This study presents a novel approach to enhancing emergency supply chain resilience, showing that five critical factors are key drivers. It innovates the identification of these factors, making it accessible for emergency management practitioners and researchers.

References

Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15(2), 1–14. https://doi.org/10.1108/09574090410700275

Feyzi, A. (2020, December). Mapping the Supply Chain Resilience Enablers (SCRE) Model with a Hybrid (FDelphi-ISM-DEMATEL) Approach. In International Conference on Logistics and Supply Chain Management (pp. 319-338). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-89743-7_18

Ge, T., Hao, Z., & Chen, Y. (2025). How environmental policy synergy can enhance urban ecological resilience: Insights from text mining analysis in China. Humanities and Social Sciences Communications, 12(1), 1-11. https://doi.org/10.1057/s41599-025-04993-8

Huang, G., Li, D., Zhu, X., & Zhu, J. (2021). Influencing factors and their influencing mechanisms on urban resilience in China. Sustainable Cities and Society, 74, 103210. https://doi.org/10.1016/j.scs.2021.103210

Jiakuan, C., & Haoyu, W. (2023). The application of complex network theory for resilience improvement of knowledge-intensive supply chains. Operations Management Research, 16(3), 1140–1161. https://doi.org/10.1007/s12063-023-00365-0

Li, R., & Lu, Y. (2025). Toward a resilient and smart city: Analysis on enablers for smart city resilience using an integrated DEMATEL-ISM-ANP method. Technological Forecasting and Social Change 215, 124081. https://doi.org/10.1016/j.techfore.2025.124081

Liu, X., Dou, Z., & Yang, W. (2021). Research on influencing factors of cross border E-Commerce supply chain resilience based on integrated fuzzy DEMATEL-ISM. IEEE Access, 9, 36140–36153. https://doi.org/10.1109/ACCESS.2021.3059867

Lu, J., Wang, J., Song, Y., Yuan, C., He, J., & Chen, Z. (2022). Influencing factors analysis of supply chain resilience of prefabricated buildings based on PF-DEMATEL-ISM. Buildings, 12(10), 1595. https://doi.org/10.3390/buildings12101595

Maharjan, R., & Kato, H. (2022). Resilient supply chain network design: a systematic literature review. Transport Reviews, 42(6), 739-761. https://doi.org/10.1080/01441647.2022.2080773

Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The international journal of logistics management, 20(1), 124-143.https://doi.org/10.1108/09574090910954873

Rice, J. B., & Caniato, F. (2003). Building a secure and resilient supply network. Supply Chain Management Review, 7(5), 22–30. https://trid.trb.org/View/606665

Wang, J., Liu, M., Chen, Y., & Yu, M. (2023). Influencing factors on green supply chain resilience of agricultural products: an improved gray-DEMATEL-ISM approach. Frontiers in Sustainable Food Systems, 7, 1166395. https://doi.org/10.3389/fsufs.2023.1166395

Yang, Z., & Chen, Y. (2024). Study on influencing factors of grain supply chain resilience based on DEMATEL-ISM method. Computer and Decision Making: An International Journal, 1, 121–133. https://doi.org/10.59543/comdem.v1i.10305

Downloads

Published

2026-06-30

How to Cite

Li, J., Sun, H., & Wang, F. (2026). Research on Identifying Key Elements of Emergency Supply Chain Resilience Based on DEMATEL-ISM and Complex Networks. Journal of Progress in Safety & Security, 2. https://doi.org/10.59490/pss.2.2026.8695

Issue

Vol. 2 (2026)

Section

Research articles

License

Copyright (c) 2026 Jiaxin Li, Hao Sun, Fuyu Wang

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.