Enhancing Organizational Resilience in Emergency Management: A Cross-Organizational Intelligence System for Sustainable Response to Crisis

In today’s urban environment, disasters are not isolated events but part of continuous, complex processes that threaten both sustainable urban development and effective emergency management. Traditional emergency management practices are hindered by departmental silos and fragmented information exchanges, which often lead to conflicting interests, unclear responsibilities, ineffective tools, and imprecise task divisions. In response, our study repositions emergency management within the broader context of sustainable urban development by emphasizing resource optimization, strengthened inter-agency coordination, and strategic decision support to achieve UN Sustainable Development Goal 11. Based on observations from 31 departments in Dongtai City, we identified key contradictions within the current activity system. Guided by activity theory, we designed the Cross-Organizational Emergency Intelligence System (COEIS), which synchronizes real-time data across agencies via a novel information exchange mechanism. Implementation in a real-world setting and evaluation using grounded theory demonstrated that the COEIS enhances collaborative efficiency and decision support capabilities, thereby improving inter-organizational resilience. This study makes both theoretical and practical contributions by integrating the DSRM, activity theory, and grounded theory, offering a replicable pathway for transforming fragmented crisis management infrastructures into sustainable and resilient networks aligned with urban development strategies.

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Publication Details

Journal
Sustainability
Published
2025-05-29
DOI
https://doi.org/10.3390/su17115000
Citations
3
Primary Topic
Disaster Management and Resilience
Type
article
Field-Weighted Citation Impact
12.60

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article

Enhancing Organizational Resilience in Emergency Management: A Cross-Organizational Intelligence System for Sustainable Response to Crisis

Eldon Y. Li, Hua Guo, Ying Jiang
3 citations
Sustainability
Disaster Management and Resilience
12.60
article

Enhancing Organizational Resilience in Emergency Management: A Cross-Organizational Intelligence System for Sustainable Response to Crisis

Eldon Y. Li, Hua Guo, Ying Jiang
article en
3 citations

Abstract

In today’s urban environment, disasters are not isolated events but part of continuous, complex processes that threaten both sustainable urban development and effective emergency management. Traditional emergency management practices are hindered by departmental silos and fragmented information exchanges, which often lead to conflicting interests, unclear responsibilities, ineffective tools, and imprecise task divisions. In response, our study repositions emergency management within the broader context of sustainable urban development by emphasizing resource optimization, strengthened inter-agency coordination, and strategic decision support to achieve UN Sustainable Development Goal 11. Based on observations from 31 departments in Dongtai City, we identified key contradictions within the current activity system. Guided by activity theory, we designed the Cross-Organizational Emergency Intelligence System (COEIS), which synchronizes real-time data across agencies via a novel information exchange mechanism. Implementation in a real-world setting and evaluation using grounded theory demonstrated that the COEIS enhances collaborative efficiency and decision support capabilities, thereby improving inter-organizational resilience. This study makes both theoretical and practical contributions by integrating the DSRM, activity theory, and grounded theory, offering a replicable pathway for transforming fragmented crisis management infrastructures into sustainable and resilient networks aligned with urban development strategies.

SustainabilityVol. 17(11)
National Chung Cheng University (TW), Hohai University (CN)
National Science and Technology Council
Openalex Percentile: Top 2%
Disaster Management and Resilience
12.60
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