Information Systems Frontiers

, Volume 12, Issue 1, pp 1–7 | Cite as

Advances in multi-agency disaster management: Key elements in disaster research

  • Marijn Janssen
  • JinKyu Lee
  • Nitesh Bharosa
  • Anthony Cresswell
Article

Abstract

Multi-agency disaster management requires collaboration among geographically distributed public and private organizations to enable a rapid and effective response to an unexpected event. Many disaster management systems often lack the capability to cope with the complexity and uncertainty. In this introduction to the special issues on advances in multi-agency disaster management we discuss the role of information, enterprise architecture, coordination and related human efforts aimed at improving multi-agency disaster management. The paper concludes that although there is a common body of knowledge, disaster management is still an under-developed area. There is a need to relate practice and theory by using human-centered approaches such that disaster management can realize its full potential.

Keywords

Coordination Enterprise architecture Disaster management Adaptivity 

References

  1. Alberts, D., & Hayes, R. (2007). Planning: Complex endeavors. Washington, DC: DoD Command and Control Research Program.Google Scholar
  2. Alberts, D. S., Garstka, J. J., & Stein, F. P. (2002). Network-centric warfare: Developing and leveraging information superiority (2nd ed. Vol. 2.): CCRP Publication Series.Google Scholar
  3. Argote, L. (1982). Input uncertainty and organizational coordination in hospital emergency units. Administrative Science Quarterly, 27(3), 420–434. doi: 10.2307/2392320.CrossRefGoogle Scholar
  4. ASE. (2008). Alle hens on deck: ASE Veiligheid. Retrieved June 2008. from www.minbzk.nl.
  5. Bharosa, N., Janssen, M., Rao, H. R., & Lee, J. (2008). Adaptive information orchestration: Architectural principles improving information quality. Paper presented at the the 5th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2008), Washington, DC, USA.Google Scholar
  6. Bigley, G. A., & Roberts, K. H. (2001). The incident command system: high reliability organizing for complex and volatile task environments. Academy of Management, 44(6), 1281–1300. doi: 10.2307/3069401.CrossRefGoogle Scholar
  7. Board on Natural Disasters National Research Council. (1999). Mitigation emerges as a major strategy for reducing losses caused by natural disasters. Science, 284(5422), 1943–1947. doi: 10.1126/science.284.5422.1943.CrossRefGoogle Scholar
  8. Bostrom, R. P., & Heinen, J. S. (1977). MIS problems and failures: a socio-technical perspective. Part I: the causes. MIS Quarterly, 1(3), 17–32. doi: 10.2307/248710.CrossRefGoogle Scholar
  9. Chen, R., Sharman, R., Rao, R., & Upadhyaya, S. (2008). Coordination in emergency response management. Communications of the ACM, 51(5), 66–73. doi: 10.1145/1342327.1342340.CrossRefGoogle Scholar
  10. Comfort, L. (1999). Shared risk: Complex systems in seismic response. New York: Pergamon.Google Scholar
  11. Comfort, L., & Kapucu, N. (2006). Inter-organizational coordination in extreme events: the World Trade Center attacks, September 11, 2001. Natural Hazards, 39(2), 309–327. doi: 10.1007/s11069-006-0030-x.CrossRefGoogle Scholar
  12. Dhanaraj, C., & Parkhe, A. (2006). Orchestrating innovation networks. Academy of Management Review, 31(3), 659–669.Google Scholar
  13. Faraj, S., & Xiao, Y. (2006). Coordination in fast-reponse organizations. Management Science, 52(8), 1155–1169. doi: 10.1287/mnsc.1060.0526.CrossRefGoogle Scholar
  14. Galbraith, J. R. (1977). Organization design. Reading, Massachusetts: Addison-Wesley.Google Scholar
  15. Horan, T., & Schooley, B. (2007). Time-critical information services. Communications of the ACM, 50(3), 73–78. doi: 10.1145/1226736.1226738.CrossRefGoogle Scholar
  16. Janssen, M., Gortmaker, J., & Wagenaar, R. W. (2006). Web service orchestration in public administration: challenges, roles and growth stages. Information Systems Management, 23(2), 44–55. doi: 10.1201/1078.10580530/45925.23.2.20060301/92673.6.CrossRefGoogle Scholar
  17. Longstaff, P. H. (2005). Security, resilience, and communication in unpredictable environments such as terrorism, natural disasters, and complex technology. Retrieved July 2007, from http://pirp.harvard.edu/pubs_pdf/longsta/longsta-p05-3.pdf.
  18. Mendonca, D. (2007). Decision support for improvisation in response to extreme events: learning from the response to the 2001 World Trade Center attack. Decision Support Systems, 43(3), 952–967. doi: 10.1016/j.dss.2005.05.025.CrossRefGoogle Scholar
  19. Milward, H. B., & Provan, K. G. (1995). A preliminary theory of network effectiveness: a comparative study of four community mental health systems. Administrative Science Quarterly, 40(1), 1–33. doi: 10.2307/2393698.CrossRefGoogle Scholar
  20. Mumford, E. (2006). The story of socio-technical design: reflections on its successes, failures and potential. Information Systems Journal, 16, 317–342. doi: 10.1111/j.1365-2575.2006.00221.x.CrossRefGoogle Scholar
  21. National Research Council. (2007). Improving disaster management: The role of IT in mitigation, preparedness, response and recovery. Washington, DC: National Academic.Google Scholar
  22. Richardson, L., Jackson, B. M., & Dickson, G. (1990). A principle-based enterprise architecture: lessons from Texaco and Star enterprise. MIS Quarterly, 14(4), 385–403.CrossRefGoogle Scholar
  23. Rockart, J. F., & Scott Morton, M. S. (1984). Implications of changes in information technology for corporate strategy. Interfaces, 14(1), 84–95. doi: 10.1287/inte.14.1.84.CrossRefGoogle Scholar
  24. Ross, J. (2003). Creating a strategic IT architecture competency: learning in stages. MISQ Quarterly Executive, 2(1), 31–43.Google Scholar
  25. Simon, H. A. (1996). The sciences of the artificial (3rd ed.). Cambridge, MA: MIT.Google Scholar
  26. Smith, C., & Hayne, S. (1997). Decision making under time pressure. Management Communication Quarterly, 11(1), 97–126. doi: 10.1177/0893318997111005.CrossRefGoogle Scholar
  27. Smithson, S., & Hirschheim, R. A. (1998). Analysing information systems evaluation: another look at an old problem. European Journal of Information Systems, 7(3), 158–174. doi: 10.1057/palgrave.ejis.3000304.CrossRefGoogle Scholar
  28. Thompson, J. D. (1967). Organizations in action. New York: McGraw-Hill.Google Scholar
  29. Winograd, T., & Flores, F. (1987). Understanding computers and cognition. A new foundation for design. Massachusetts: Addison-Wesley.Google Scholar
  30. Yang, J., Lee, J., Rao, A., & Touqan, N. (2009). Inter-organizational communications in disaster management. In V. Weerakkody, M. Janssen & Y. Dwivedi (Eds.), Handbook of research on ICT-enabled transformational government: A global perspective: IGI Global.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Marijn Janssen
    • 1
  • JinKyu Lee
    • 2
  • Nitesh Bharosa
    • 1
  • Anthony Cresswell
    • 3
  1. 1.Delft University of TechnologyDelftThe Netherlands
  2. 2.Oklahoma State UniversityTulsaUSA
  3. 3.Center for Technology in GovernmentUniversity at Albany-SUNYAlbanyUSA

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