Title: Modeling Resource Network Relationships Between Response Organizations and Affected Neighborhoods After a Technological Disaster
Authors: Lai, Chih-Hui
Tao, Chen-Chao
Cheng, Yu-Chung
傳播與科技學系
Department of Communication and Technology
Keywords: Disaster response;Resource network;Community resilience;Ecological and evolutionary perspective;Social network analysis
Issue Date: 1-Oct-2017
Abstract: Disaster usually provides a good opportunity to observe the convergence of voluntary organized response efforts. However, the extent to which response organizations and affected neighborhoods go through the relief process similarly or differently is surprisingly less studied. Integrating the framework of community ecology and the concept of community resilience, this study examines the evolutionary process of an emergent disaster response community that consists of the populations of response organizations and affected neighborhoods. Using a technological disaster that occurred in Taiwan in July 2014 as the research context, this study shows that response organizations' resource provision network and affected neighborhoods' resource receipt network exhibited similar structural tendencies over the phases of disaster response and rebuilding. The process of mutual resource mobilization was also observed as response organizations mobilized and provided resources to affected neighborhoods at the same time. Moreover, while affected neighborhoods tended to maintain their resource relationships consistently over time, the changing structural patterns of their resource network reflected individual engagement in resuming normality after the incident. Theoretical and practical implications for emergent post-disaster social and voluntary behavior are discussed through the lens of community ecology and community resilience.
URI: http://dx.doi.org/10.1007/s11266-017-9887-4
http://hdl.handle.net/11536/143861
ISSN: 0957-8765
DOI: 10.1007/s11266-017-9887-4
Journal: VOLUNTAS
Volume: 28
Begin Page: 2145
End Page: 2175
Appears in Collections:Articles