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Event-cloud platform to support decision-making in emergency management

Author

Listed:
  • Matthieu Lauras

    (Université Toulouse – Mines Albi
    Université Toulouse - Toulouse Business School)

  • Frédérick Benaben

    (Université Toulouse – Mines Albi)

  • Sébastien Truptil

    (Université Toulouse – Mines Albi)

  • Aurélie Charles

    (Université Lumière Lyon 2)

Abstract

The challenge of this paper is to underline the capability of an Event-Cloud Platform to support efficiently an emergency situation. We chose to focus on a nuclear crisis use case. The proposed approach consists in modeling the business processes of crisis response on the one hand, and in supporting the orchestration and execution of these processes by using an Event-Cloud Platform on the other hand. This paper shows how the use of Event-Cloud techniques can support crisis management stakeholders by automatizing non-value added tasks and by directing decision-makers on what really requires their capabilities of choice. If Event-Cloud technology is a very interesting and topical subject, very few research works have considered this to improve emergency management. This paper tries to fill this gap by considering and applying these technologies on a nuclear crisis use-case.

Suggested Citation

  • Matthieu Lauras & Frédérick Benaben & Sébastien Truptil & Aurélie Charles, 2015. "Event-cloud platform to support decision-making in emergency management," Information Systems Frontiers, Springer, vol. 17(4), pages 857-869, August.
    • Handle: RePEc:spr:infosf:v:17:y:2015:i:4:d:10.1007_s10796-013-9475-0
    DOI: 10.1007/s10796-013-9475-0
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    References listed on IDEAS

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    1. Samer Faraj & Yan Xiao, 2006. "Coordination in Fast-Response Organizations," Management Science, INFORMS, vol. 52(8), pages 1155-1169, August.
    2. Nurain Hassan Ibrahim & David Allen, 2012. "Information sharing and trust during major incidents: Findings from the oil industry," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(10), pages 1916-1928, October.
    3. 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.
    4. Nurain Hassan Ibrahim & David Allen, 2012. "Information sharing and trust during major incidents: Findings from the oil industry," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(10), pages 1916-1928, October.
    5. Preece, Gary & Shaw, Duncan & Hayashi, Haruo, 2013. "Using the Viable System Model (VSM) to structure information processing complexity in disaster response," European Journal of Operational Research, Elsevier, vol. 224(1), pages 209-218.
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    Cited by:

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    4. Johan Ullberg & Pontus Johnson, 2017. "Empirical assessment of the accuracy of an interoperability prediction language," Information Systems Frontiers, Springer, vol. 19(4), pages 819-833, August.
    5. Mariachiara Piraina & Paolo Trucco, 2022. "Emergency management capabilities of interdependent systems: framework for analysis," Environment Systems and Decisions, Springer, vol. 42(2), pages 149-176, June.

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