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Improving Decision Making in Extreme Situations: The Case of a Military Decision Support System

Author

Listed:
  • Cécile Godé

    (CReA - Centre de Recherche de l'École de l'air - Armée de l'air et de l'espace)

  • Jean-Fabrice Lebraty

    (Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon)

Abstract

This article explores the capacity of a decision support system (DSS) to improve the quality of decision making in extreme situations. This DSS is actually based on a networked information system (IS). Academic literature commonly mentions models of fit to explore the relationship between technology and performance, reckoning users' evaluations as a relevant measurement technique for Information System (IS) success. Although effective contributions have been achieved in measurement and exploration of fit, there have been few attempts to investigate the triangulation of fit between "Task-DSS-Decision Maker" under stressful and uncertain events. This article provides new insights regarding the assessment of advantages provided by networked IS for making relevant decisions under such circumstances. An original case study has been conducted. It is focused on a decision support system called Link 16 that is used during aerial missions. This case study shows that the system improves decision making on an individual basis and suggests to take into account three main criteria - compliance, complementarity and conformity - to measure DSS performance under extreme situations.

Suggested Citation

  • Cécile Godé & Jean-Fabrice Lebraty, 2013. "Improving Decision Making in Extreme Situations: The Case of a Military Decision Support System," Post-Print halshs-00815521, HAL.
    • Handle: RePEc:hal:journl:halshs-00815521
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    Citations

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    Cited by:

    1. Cécile Godé & Valérie Hauch & Mélanie Lasou & Jean-Fabrice Lebraty, 2012. "Une singularité dans l'aide à la decision : le cas de la Liaison 16," Post-Print halshs-01219172, HAL.
    2. Jordan Vazquez & Cécile Godé & Jean-Fabrice Lebraty, 2018. "Environnement big data et décision : l'étape de contre la montre du tour de France 2017," Post-Print halshs-02188793, HAL.
    3. Cécile Godé & Pierre Barbaroux, 2016. "Combining Technologies’ Properties to Cope with Uncertainty: Lessons from the Military," Post-Print hal-03223680, HAL.
    4. Jordan Vazquez & Cécile Godé & Jean-Fabrice Lebraty, 2021. "Environnement big data et prise de décision : maintien de l'ordre durant un évènement sportif d'ampleur," Post-Print hal-03252399, HAL.
    5. Sylvain Mondon, 2021. "Temporalités d’action et pratiques d'anticipation stratégique en contexte extrême : le cas de l’émergence d’une crise en course au large," Post-Print halshs-03324387, HAL.

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