The effects of using system dynamics-based decision support models: testing policy-makers' boundaries in a complex situation. Issue 1 (2nd January 2017)

• Record Type: Journal Article
• Authors: Bérard, Céline; Cloutier, L. Martin; Cassivi, Luc
• Is Part Of: Journal of decision systems. Volume 26:Issue 1(2017)
• Page Start: 45
• Page End: 63
• Publication Date: 2017-01-02
• Subjects: Decision support models -- systems thinking -- system dynamics -- complex situations -- public policy-making -- boundary judgements; Decision support systems -- Periodicals; Management information systems -- Periodicals; Information resources management -- Periodicals; Information storage and retrieval systems -- Periodicals; Management -- Communication systems -- Periodicals; Decision support systems; Information resources management; Information storage and retrieval systems; Management -- Communication systems; Management information systems; Periodicals; 658.40305
• DOI: 10.1080/12460125.2016.1204212
• Languages: English
• ISSNs: 1246-0125

Abstract

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.