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

Céline Bérard (1, 2) , Martin Cloutier L. , Luc Cassivi

1 COACTIS - COnception de l'ACTIon en Situation
2 UL2 - Université Lumière - Lyon 2

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.

Mots clés: Decision support models; systems thinking; system dynamics; complex situations; public policymaking; boundary judgements

Domaines: Gestion et management

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⟩