Dealing with soft variables and data scarcity: lessons learnt from quantification in a participatory system dynamics modelling process
Irene Pluchinotta,
Ke Zhou,
Nici Zimmermann
Abstract:System dynamics (SD) models are commonly used for structuring complex problems to support decision‐making. They are used to investigate areas in which limited knowledge is available, describing nonlinear relationships and including intangible elements. Although this explorative nature is one of the key advantages, it also represents a challenge for quantifying the intangible, i.e. more qualitative aspects of an SD model, especially when it is not possible to apply conventional analytical methods due to data sc… Show more
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