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The Dynamics of an Interorganizational Emergency Management Network

Interdependent and Independent Risk Hypotheses

Datos Bibliográficos

ID6363428
AutoresKyujin Jung (0000-0002-2241-2415, Sungkyunkwan University), Minsun Song (0000-0003-0716-3403, Valdosta State University), Hyung Jun Park (0000-0002-4597-770X, Sungkyunkwan University)
Año2018
Volumen79
Número2
Páginas225-235
Fecha de publicación2018-10-30
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPublic Administration Review (JOURNAL)
Identificadores de la revistaISSN: 0033-3352 • E-ISSN: 1540-6210
EditorialWiley (PUBLISHER • GB)
DOI10.1111/puar.12993
OpenAlexW2898763867
IdiomaEN
Citas recibidas31
Referencias citadas58

The purpose of this research is to uncover the dynamic structure of an interorganizational emergency management network after a disaster. This research tests two hypothesized network structures: interdependent risk and independent risk. While the former illustrates the importance of trust and information redundancy in coordinating and aligning emergency preparedness and response, the latter captures the tendency for local actors to seek dominant partners to bridge crucial information across the region. A stochastic actor‐based model with a forward selection strategy is used to analyze the structural effects of endogenous networks and the effects of exogenous community attributes on interorganizational ties. Based on the data sets collected before and after the 2012 typhoons in South Korea, the results support the interdependent risk hypothesis, suggesting that an interorganizational network structure tends to evolve into the notion of shared collaboration risk

Bridge (graph theory · Business · Economics · Emergency management · Industrial organization · Interdependence · Knowledge management · Management · Preparedness · Redundancy (engineering · Risk analysis (engineering · Risk management · Sociology · Computer Science · Disaster Management and Resilience · Facility Location and Emergency Management · Infrastructure Resilience and Vulnerability Analysis

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Obras citantes distintas31
Citas por año4,43
Intervalo de citas2019 - 2026 (8)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 31
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