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Conference Paper: Towards coordination preparedness of soft-target organisation

TitleTowards coordination preparedness of soft-target organisation
Authors
Issue Date2009
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009, v. 5693 LNCS, p. 54-64 How to Cite?
AbstractIn this paper, we introduce a network enabled coordination model to examine the coordination preparedness of soft-target organisations such as common public access areas including transit hubs, schools, parks, and sports areas. It is apparent that little attention is given in recent research focusing on the use of network analysis as a way to explore coordination preparedness for this type of organisation. In this study, we emphasise this type of soft-target organisation and propose a model to examine the coordination preparedness to any disasters by testing hypothesis related to network relationship and coordination preparedness. We analyse the dataset entitled Preparedness of Large Retail Malls to Prevent and Respond to Terrorist Attack, 2004, which contains a total of 120 completed surveys of security directors of retail malls. The following questions form the basis of this study: What do soft-target organisations need to be better prepared to respond to disaster? How does network relationship between soft-target organisation and emergency agencies affect the coordination preparedness of soft-target organisation for disaster recovery? Which degree of centrality measure needs to be followed to measure network variables in order to analyse the coordination preparedness? Result shows that soft-target organisation with high level of network relationship with other emergency agencies are better prepared to disaster response. Using this result, the preparedness of a soft-target organisation might be judged for successfully participation in an actual emergency. © 2009 Springer Berlin Heidelberg.
Persistent Identifierhttp://hdl.handle.net/10722/194249
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorUddin, MS-
dc.contributor.authorHossain, L-
dc.date.accessioned2014-01-30T03:32:21Z-
dc.date.available2014-01-30T03:32:21Z-
dc.date.issued2009-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009, v. 5693 LNCS, p. 54-64-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/194249-
dc.description.abstractIn this paper, we introduce a network enabled coordination model to examine the coordination preparedness of soft-target organisations such as common public access areas including transit hubs, schools, parks, and sports areas. It is apparent that little attention is given in recent research focusing on the use of network analysis as a way to explore coordination preparedness for this type of organisation. In this study, we emphasise this type of soft-target organisation and propose a model to examine the coordination preparedness to any disasters by testing hypothesis related to network relationship and coordination preparedness. We analyse the dataset entitled Preparedness of Large Retail Malls to Prevent and Respond to Terrorist Attack, 2004, which contains a total of 120 completed surveys of security directors of retail malls. The following questions form the basis of this study: What do soft-target organisations need to be better prepared to respond to disaster? How does network relationship between soft-target organisation and emergency agencies affect the coordination preparedness of soft-target organisation for disaster recovery? Which degree of centrality measure needs to be followed to measure network variables in order to analyse the coordination preparedness? Result shows that soft-target organisation with high level of network relationship with other emergency agencies are better prepared to disaster response. Using this result, the preparedness of a soft-target organisation might be judged for successfully participation in an actual emergency. © 2009 Springer Berlin Heidelberg.-
dc.languageeng-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.titleTowards coordination preparedness of soft-target organisation-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-03516-6_5-
dc.identifier.scopuseid_2-s2.0-70349452019-
dc.identifier.volume5693 LNCS-
dc.identifier.spage54-
dc.identifier.epage64-

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