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Identification of Critical Factors in Large Crisis Decision Making Processes Using Computational Tools: The Case of ATHENA

Author

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  • Konstantinos Domdouzis

    (Department of Computing, Sheffield Hallam University, Sheffield, UK)

  • Babak Akhgar

    (CENTRIC, Sheffield Hallam University, Sheffield, UK)

  • Simon Andrews

    (Department of Computing, Sheffield Hallam University, Sheffield, UK)

  • Tony Day

    (CENTRIC, Sheffield Hallam University, Sheffield, UK)

Abstract
This article aims to present a social media-based system that coordinates the responses of the authorities in a large crisis. The article performs extensive review of literature in order to identify decision making approaches in crisis situations and the different factors that affect these approaches. It also presents the ATHENA Crisis Management system which is based on a platform that makes combined use of data mining algorithms for the purpose of analysing large amounts of data received through the Social Media during and after a large crisis. A number of conclusions are drawn on the identification of different types of factors that impact large crisis decision making.

Suggested Citation

  • Konstantinos Domdouzis & Babak Akhgar & Simon Andrews & Tony Day, 2017. "Identification of Critical Factors in Large Crisis Decision Making Processes Using Computational Tools: The Case of ATHENA," International Journal of Strategic Information Technology and Applications (IJSITA), IGI Global, vol. 8(2), pages 11-28, April.
    • Handle: RePEc:igg:jsita0:v:8:y:2017:i:2:p:11-28
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