Towards Coordination Preparedness of Soft-Target Organisation

  • Mohammed Shahadat Uddin
  • Liaquat Hossain
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5693)


In 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.


Soft-Target Organisation coordination preparedness network relation 


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  1. 1.
    Baligh, H.H.: Decision rules and transactions, organisations, and markets. Management Science 32, 1480–1491 (1986)CrossRefGoogle Scholar
  2. 2.
    Beaumont, P., Chaib-draa, B.: Multi-Platform Coordination in Command and Control. National Science and Engineering Research Council of Canada (2005)Google Scholar
  3. 3.
    Brandes, U., Fleischer, D.: Centrality Measures Based on Current Flow. In: Diekert, V., Durand, B. (eds.) STACS 2005. LNCS, vol. 3404, pp. 533–544. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  4. 4.
    Comfort, L., Kapucu, N.: Inter-organisational coordination in extreme events: The World Trade Center attacks, September 11, 2001. Natural Hazards, 309–327 (2003)Google Scholar
  5. 5.
    Davis, R.C., Ortiz, C., Rowe, R., Broz, J., Rigakos, G., Collins, P.: An Assessment of the Preparedness of Large Retail Malls to Prevent and Respond to Terrorist Attack, A report submitted to U.S. Department of Justice (2006)Google Scholar
  6. 6.
    Donini, A., Niland, N.R.: Lessons Learned, A Report on the Coordination of Humanitarian Activities. United Nations Department of Humanitarian Affairs, New York (1994)Google Scholar
  7. 7.
    Freeman, L.C.: Centrality in Social Networks: Conceptual Classification. Social Networks, 215–239 (1978)Google Scholar
  8. 8.
    Kapucu, N.: Inter-organisational Coordination in Dynamic Context: Network in Emergency Response Managements. Connections, 33–48 (2005)Google Scholar
  9. 9.
    Kirn, S., Gasser, L.: Organisational Approaches to Coordination in Multi-Agent Systems. National Science Foundation, Arlington (1998)Google Scholar
  10. 10.
    Krugman, P.: A Can’t-Do Government, The New York Times, published on September 2 (2005)Google Scholar
  11. 11.
    Kruke, B.I., Olsen, O.E.: Reliability-seeking network in complex emergencies. Int. J. Emergency Management 2(4), 275–291 (2005)CrossRefGoogle Scholar
  12. 12.
    Kuti, M.: Cordnet – Towards a distributed behavioral model for emergency response coordination, A thesis submitted to the Faculty of the University of Sydney (2007)Google Scholar
  13. 13.
    Malone, T.W.: Modeling coordination in organizations and markets. Management Science 33, 1317–1332 (1987)CrossRefGoogle Scholar
  14. 14.
    Malone, T.W.: What is Coordination Theory? National Science Foundation Coordination Theory Workshop, Massachusetts Institute of Technology, Cambridge, USA (1988)Google Scholar
  15. 15.
    Malone, T.W., Crowston, K.: The Interdisciplinary Study of Coordination. ACM Computing Surveys 26(1) (1994)Google Scholar
  16. 16.
    Mullen, B., Johnson, C., Salas, E.: Effects of communication network structures: Components of positional centrality. Social Networks 13, 169–186 (1991)CrossRefGoogle Scholar
  17. 17.
    Rathnam, S., Mahajan, V., Whinston, A.B.: Facilitating Coordination in Customer Support Teams: A Framework and Its Implications for the Design of Information Technology. Management Science 41(12), 1900–1921 (1995)CrossRefGoogle Scholar
  18. 18.
    Riley, K.J., Hoffman, B.: Domestic Terrorism, A National Assessment of State and Local Preparedness. RAND (1995)Google Scholar
  19. 19.
    Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications. Cambridge University Press, New York (1994); Appendix: Springer-Author DiscountCrossRefzbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Mohammed Shahadat Uddin
    • 1
  • Liaquat Hossain
    • 1
  1. 1.Project Management Graduate ProgrammeUniversity of SydneyAustralia

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