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

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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)

  • Martin Cloutier L.
  • Luc Cassivi

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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  • Céline Bérard & Martin Cloutier L. & Luc Cassivi, 2017. "The effects of using system dynamics-based decision support models: testing policy-makers’ boundaries in a complex situation," Post-Print halshs-01666605, HAL.
    • Handle: RePEc:hal:journl:halshs-01666605
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01666605
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    1. Pluchinotta, Irene & Salvia, Giuseppe & Zimmermann, Nici, 2022. "The importance of eliciting stakeholders’ system boundary perceptions for problem structuring and decision-making," European Journal of Operational Research, Elsevier, vol. 302(1), pages 280-293.

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