The Evolution Mechanism of Disaster Governance Organizational Networks:An Integrated"Structure,Process,and Value"Analysis Framework
Deconstructing the characteristics and laws of organizational networks in the whole process of disaster governance,revealing their features of change during diachronic evolution can offer theoretical sup-port for the evolution of organizational network structures.This paper takes the Zhengzhou,Henan Torrential Rain-caused Disaster on July 20 as a case study,constructs an organizational network for the entire process of disaster governance,employs social network analysis methods to delineate the organizational network con-figurations in different developmental stages before,during,and after the disaster.It also investigates the overall evolution of network structure,changes in core-periphery areas,and explores the organizational changes within the network's core and peripheral regions.The study reveals that the structural changes in the organizational network in the pre-disaster,during-disaster,and post-disaster phases follow an evolutionary pattern of"tightly coupled-loosely centralized-multi-core structure".As the disaster governance network evolves through different stages,the contraction characteristics of the organizational relationship network become prominent,leading to a gradual withdrawal of organizations from peripheral areas.Within the"core-periphery"structure,there are significant variations in the entry and exit of organizations in the pre-disaster,during-disaster,and post-disaster networks.Organizations that emerge during the actual response phase face considerable challenges in maintaining their effectiveness as the situational context evolves.The paper intro-duces a"structure-process-value"framework for disaster governance,aimed at explaining the power dynam-ics among organizational entities,network structural characteristics,responses to environmental changes,and the attributes of core and peripheral entities concerning value.This framework serves as a reference and source of inspiration for theoretical explanations of organizational network evolution.
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