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Critical Learning Incidents in system dynamics modelling engagements

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  • Thompson, James P.
  • Howick, Susan
  • Belton, Valerie

Abstract

This paper reports in-depth behavioural operational research to explore how individual clients learned to resolve dynamically complex problems in system dynamics model-based engagements. Consultant-client dyads involved in ten system dynamics consulting engagements were interviewed to identify individual clients' Critical Learning Incidents—defined as the moment of surprise caused after one's mental model produces unexpected failure and a change in one's mental model produces the desired result. The cases, which are reprised from interviews, include assessments of the nature of the engagement problem, the form of system dynamics model, and the methods employed by consultants during each phase of the engagement. Reported Critical Learning Incidents are noted by engagement phase and consulting method and constructivist learning theory is used to describe a pattern of learning. Research outcomes include descriptions of: the role of different methods applied in engagement phases (for example, the role of concept models to commence problem identification and to introduce iconography and jargon to the engagement participants); how model form associates with the timing of Critical Learning Incidents; and the role of social mediation and negotiation in the learning process.

Suggested Citation

  • Thompson, James P. & Howick, Susan & Belton, Valerie, 2016. "Critical Learning Incidents in system dynamics modelling engagements," European Journal of Operational Research, Elsevier, vol. 249(3), pages 945-958.
  • Handle: RePEc:eee:ejores:v:249:y:2016:i:3:p:945-958
    DOI: 10.1016/j.ejor.2015.09.048
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    References listed on IDEAS

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    8. Aubert, Alice H. & Esculier, Fabien & Lienert, Judit, 2020. "Recommendations for online elicitation of swing weights from citizens in environmental decision-making," Operations Research Perspectives, Elsevier, vol. 7(C).
    9. Schaffernicht, Martin FG. & Groesser, Stefan N., 2024. "Mental models of dynamic systems are different: Adjusting for heterogeneous granularity," European Journal of Operational Research, Elsevier, vol. 312(2), pages 653-667.
    10. Guillaume Lamé & Sonya Crowe & Matthew Barclay, 2022. "‘What’s the evidence?’—Towards more empirical evaluations of the impact of OR interventions in healthcare," Post-Print hal-03035075, HAL.
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