IDEAS home Printed from https://ideas.repec.org/a/bpj/johsem/v8y2011i1p16n19.html
   My bibliography  Save this article

Decisions in Disaster Recovery Operations: A Game Theoretic Perspective on Organization Cooperation

Author

Listed:
  • Coles John

    (University at Buffalo)

  • Zhuang Jun

    (University at Buffalo)

Abstract

Throughout history, disasters have had a defining impact on individuals, governments, and society as a whole. The terrorist attacks on September 11th, 2001 and several catastrophic hurricanes in the gulf region have brought disaster response and emergency management to a new level of visibility and importance in the United States. The increased media coverage of international disasters, such as the Indian Ocean Tsunami in 2004 and the Earthquake in Haiti in 2010, have resulted in international disaster response and recovery efforts becoming a larger part of foreign policy for developed countries. The changing scene of disaster response and recovery has also resulted in a rapid increase in the number of private organizations emerging to assist in the wake of such catastrophes. There are significant cross-cultural dynamics and interoperability issues that become apparent when new actors (governments, businesses, organizations, etc.) enter an unfamiliar disaster environment which could reduce the operational efficacy of both local and foreign actors. In this project we propose an approach to support and guide decision makers in emergency environments on how to select and develop relationships to improve resource utilization and project outcomes in the wake of a disaster. Using game theory, we provide an initial approach for the development of a decision support framework for emergency managers entering a disaster environment.

Suggested Citation

  • Coles John & Zhuang Jun, 2011. "Decisions in Disaster Recovery Operations: A Game Theoretic Perspective on Organization Cooperation," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 8(1), pages 1-16, July.
  • Handle: RePEc:bpj:johsem:v:8:y:2011:i:1:p:16:n:19
    DOI: 10.2202/1547-7355.1772
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1547-7355.1772
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.2202/1547-7355.1772?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roozbeh, Iman & Hearne, John & Abbasi, Babak & Ozlen, Melih, 2021. "Decision support for wildfire asset protection: A two-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    2. Magoua, Joseph Jonathan & Li, Nan, 2023. "The human factor in the disaster resilience modeling of critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    3. Amanda Melendez & David Caballero-Russi & Mariantonieta Gutierrez Soto & Luis Felipe Giraldo, 2022. "Computational models of community resilience," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 1121-1152, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:johsem:v:8:y:2011:i:1:p:16:n:19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.