Improving Decision Making in Extreme Situations
| Autor: | Cécile Godé, Jean-Fabrice Lebraty |
|---|---|
| Přispěvatelé: | Centre de Recherche de l'École de l'air (CReA), Armée de l'air et de l'espace, Laboratoire de Recherche Magellan, Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Institut d'Administration des Entreprises (IAE) - Lyon, Centre de Recherche Magellan |
| Rok vydání: | 2013 |
| Předmět: |
Decision support system
Decision engineering Computer science Management science media_common.quotation_subject Networked Information System Complementarity Decision Support System Conformity R-CAST Human-Computer Interaction Risk analysis (engineering) Business decision mapping Information system [SHS.GESTION]Humanities and Social Sciences/Business administration Quality (business) Extreme Environment Extended Cognitive Fit Model Compliance Information Systems Decision analysis media_common |
| Zdroj: | International Journal of Technology and Human Interaction International Journal of Technology and Human Interaction, Idea Group Pub., 2013, 9 (1), pp.1-17 HAL International Journal of Technology and Human Interaction, 2013, 9 (1), pp.1-17 |
| ISSN: | 1548-3916 1548-3908 |
| DOI: | 10.4018/jthi.2013010101 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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