How Emergency Support Tasks Drive and Influence Cross-Organizational Emergency Collaboration in Typhoon Disaster Scenarios

Abstract

With the intensification of global climate change, the impact range of typhoon disasters has gradually expanded, and the associated losses continue to escalate. In this context, emergency support has become increasingly diversified and specialized, thereby placing higher demands on cross-organizational emergency collaboration. To investigate the internal connection between these two elements, this research constructs the organization-emergency support task two-mode emergency collaboration networks based on the case of Typhoon Yagi in 2024. Focusing on the driving effects of emergency support tasks on cross-organizational emergency collaboration in the context of typhoon disasters, the research further explores how different task attributes shape the structure of emergency collaboration networks through various effects. The findings demonstrate that emergency support tasks significantly drive and influence cross-organizational emergency collaboration. Moreover, the structural evolution of the emergency collaboration network is markedly influenced by various effects, facilitating the emergence of new collaborative relationships. This research contributes an explanatory framework and offers practical implications for optimizing cross-organizational emergency collaboration across varying task attributes and for improving the efficiency of emergency support.

Keywords

Cross-organizational emergency collaboration / Emergency support / Exponential random graph model (ERGM) / Social network analysis (SNA) / Typhoon disasters

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