The effects of using system dynamics-based decision support models: testing policy-makers’ boundaries in a complex situation

Abstract : Systems thinking and computer-based modelling systems are widely recognised as effective for solving complex problems, particularly for the potential changes they can trigger in decision-makers’ perception of where problems’ boundaries lie. Surprisingly, few studies have analysed their empirical effects on decision-making. This paper explores the effects of the use of a system dynamics-based decision support system (DSS) by decision-makers, focusing on boundary judgements, which indicate what issues and stakeholders are to be included in the decision analysis. The data were obtained from an experiment with 40 policy-makers, using a simulated case approach that focused on the complex biotechnology intellectual property system. They suggest that the use of such a DSS favours both the analysis of a greater range of perspectives and broader stakeholder participation, but does not strengthen either interdisciplinary integration or depth of stakeholder participation.
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Article dans une revue
Journal of Decision Systems, 2017, 26 (1), pp.45-63
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https://halshs.archives-ouvertes.fr/halshs-01666605
Contributeur : Céline Bérard <>
Soumis le : lundi 18 décembre 2017 - 15:36:39
Dernière modification le : mardi 19 décembre 2017 - 01:03:11

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  • HAL Id : halshs-01666605, version 1

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Céline Bérard, Martin Cloutier L., Luc Cassivi. The effects of using system dynamics-based decision support models: testing policy-makers’ boundaries in a complex situation. Journal of Decision Systems, 2017, 26 (1), pp.45-63. 〈halshs-01666605〉

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