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Understanding Multiplexity of Collaborative Emergency Management Networks

Bibliographic Data

ID11673660
AuthorsNaim Kapucu (0000-0001-6163-5948, University of Central Florida, Orlando, USA, corresponding author), Qian Hu (0000-0002-8675-9637, University of Central Florida, Orlando, USA)
Year2014
Volume46
Issue4
Pages399-417
Publication date2014-10-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe American Review of Public Administration (JOURNAL)
Journal identifiersISSN: 0275-0740 • E-ISSN: 1552-3357
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0275074014555645
OpenAlexW1990589546
LanguageEN
Citations received80
References cited49

This article explores the multiplex relationships among organizations within the context of emergency management. It examines the role of friendship networks and disaster preparedness networks in predicting sustainable collaborative disaster response networks. Furthermore, it examines the impact of emergency management systems on network building and sustainability. This article applies inferential network analysis methods in analyzing relationships among emergency management networks and examines the predictive power of preestablished network arrangements. This research suggests that friendship networks are important for encouraging organizations to be involved in disaster preparedness networks. Yet it is the collaboration ties during disaster preparedness that influence the formation of collaborations during disaster response. Structural attributes of emergency management systems have impacts on the development of multiplex relationships among organizations within various networks. These findings not only contribute to developing sustainable emergency management networks but also provide insights for building collaborative networks in a broader context

Business · Collaborative network · Computer security · Context (archaeology · Emergency management · Friendship · Geography · Knowledge management · Political science · Preparedness · Process management · Social network analysis · Sociology · Sustainability · Computer Science · Disaster Management and Resilience · Disaster Response and Management · Infrastructure Resilience and Vulnerability Analysis

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Unique citing works80
Citations per year8,89
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 79
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