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

Céline Bérard, Martin Cloutier L. and Luc Cassivi
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Céline Bérard: COACTIS - COnception de l'ACTIon en Situation - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne, UL2 - Université Lumière - Lyon 2

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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.

Keywords: Decision support models; systems thinking; system dynamics; complex situations; public policymaking; boundary judgements (search for similar items in EconPapers)
Date: 2017
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01666605v1
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Citations: View citations in EconPapers (1)

Published in Journal of Decision Systems, 2017, 26 (1), pp.45-63

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01666605

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