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Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises

Author

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  • Nitesh Bharosa

    (Delft University of Technology)

  • JinKyu Lee

    (Oklahoma State University)

  • Marijn Janssen

    (Delft University of Technology)

Abstract

Although various scholars have researched issues regarding disaster management, few have studied the sharing and coordinating of information during disasters. Not much empirical data is available in this field and there is sparse insight into the factors that may impede or facilitate information sharing and coordination among stakeholders. In this paper, we provide an overview of the relevant obstacles and challenges by examining existing literature and then investigating a series of multi-agency disaster management exercises, using observations and a survey. Although all the people who took part in our study agree that sharing information is important, for the success of their own organization as well as the exercise as a whole, the extent to which information is actually being shared among organizations is often limited by a number of factors that can be attributed to the community, agency and individual level. We found that relief workers are often more concerned with receiving information from others than with providing information to others who may benefit. Incentives for sharing information, understanding each other’s work-processes and the usability of information systems have shown positive effects on information sharing and coordination. The findings of our study have been formulated using six grounded propositions, which can be used by system designers and policy-makers upon validation in further research. We also provide directions for future research.

Suggested Citation

  • Nitesh Bharosa & JinKyu Lee & Marijn Janssen, 2010. "Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises," Information Systems Frontiers, Springer, vol. 12(1), pages 49-65, March.
  • Handle: RePEc:spr:infosf:v:12:y:2010:i:1:d:10.1007_s10796-009-9174-z
    DOI: 10.1007/s10796-009-9174-z
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    References listed on IDEAS

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    1. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Samer Faraj & Yan Xiao, 2006. "Coordination in Fast-Response Organizations," Management Science, INFORMS, vol. 52(8), pages 1155-1169, August.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Hollander, Heinz, 1990. "A Social Exchange Approach to Voluntary Cooperation," American Economic Review, American Economic Association, vol. 80(5), pages 1157-1167, December.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    7. Louise Comfort & Naim Kapucu, 2006. "Inter-organizational coordination in extreme events: The World Trade Center attacks, September 11, 2001," 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. 39(2), pages 309-327, October.
    8. Helbing, Dirk & Ammoser, Hendrik & Kühnert, Christian, 2006. "Information flows in hierarchical networks and the capability of organizations to successfully respond to failures, crises, and disasters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(1), pages 141-150.
    9. H. Raghav Rao & Abhijit Chaudhury & M. Chakka, 1995. "Modeling Team Processes: Issues and a Specific Example," Information Systems Research, INFORMS, vol. 6(3), pages 255-285, September.
    Full references (including those not matched with items on IDEAS)

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