Zhou, X., Wang, L., Qin, J., Chai, J., & Gómez Muñoz, C. Q. (2019). Emergency Rescue Planning under Probabilistic Linguistic Information: An Integrated FTA-ANP Method. International Journal of Disaster Risk Reduction, 37, Article ID: 101170.
https://doi.org/10.1016/j.ijdrr.2019.101170

has been cited by the following article:

• TITLE: Influencing Factors of Emergency Supply Chain Digitization from the Perspective of Sustainable Development

  AUTHORS: Zirui Zhou, Cejun Cao

  KEYWORDS: Emergency Supply Chains, Digital Technology, Sustainable Development, Influencing Factors, Analytic Network Process

  JOURNAL NAME: Open Journal of Social Sciences, Vol.13 No.6, June 10, 2025

  ABSTRACT: In order to expand the understanding of influencing factors of emergency supply chain digitalization, the focus of this research is placed on identifying these factors from the perspective of sustainable development. A comprehensive analysis is conducted across six dimensions—policy, society, economy, technology, organization, and security—to summarize the relevant influencing factors. Then, an Analytic Network Process model is constructed, and the model is solved using SuperDecisions software. Finally, relevant policy recommendations are proposed from the six dimensions, providing new insights into the identification of influencing factors regarding emergency supply chain digitalization from the viewpoint of sustainable development. Research findings indicate that technology and economy are the key factors influencing emergency supply chain digitalization. Secondly, innovation capability, responsiveness, resource investment, and IT level have significant impacts on emergency supply chain digitalization. Thirdly, emergency supply chain digitalization involves complex interactions across multiple dimensions, including policy, society, economy, technology, organization, and security. Therefore, future efforts should emphasize the coordinated development across these dimensions.