Deductive and inductive data collection for agent-based modelling: A Dairy Supply Chain Case Study

This study compares the use of the deductive approach (questionnaire) and the inductive approach (role playing games) in the calibration of an agent-based model (ABM) and studies their effects on model validity and utility. ABM is a modelling methodology that puts emphasis on stakeholder behaviour (Samuelson, 2005). The validity of behavioural assumptions is critical in ABM because it increases the confident in the model for its use in decision making (Bendoly et al., 2006). Both quantitative and qualitative data collection methods have been used for ABM development (Robinson et.al, 2007; Yang & Gilbert, 2008). For example, Robinson et.al (2007) qualitatively compared the benefits of various data collection methods in eliciting stakeholder behaviour based on researcher experience. In our study, we make a quantitative comparison between deductive and inductive approaches by considering the following hypotheses: