System Dynamics Modeling in Behavioral Decision Making

Author(s):  
Małgorzata Łatuszyńska
Author(s):  
Xuesong Guo ◽  
Naim Kapucu

Abstract Participatory System Dynamics modeling is presented as a methodology to engage stakeholders in collaborative decision making in scenarios involving humanitarian logistics. Using the System Dynamics (SD) model, we simulated different scenarios, the results of which yielded factors that influence performance of humanitarian logistics. Once these were identified and discussed, different options on performance improvement were tested. This approach showed that the SD model can facilitate system thinking for stakeholders and form shared mental models critical to reaching consensus-based decisions in humanitarian logistics situations.


2009 ◽  
Vol 3 (3) ◽  
pp. 253-279 ◽  
Author(s):  
Robert Patterson ◽  
Lisa Fournier ◽  
Byron J. Pierce ◽  
Marc D. Winterbottom ◽  
Lisa M. Tripp

Two types of decision-making processes have been identified in the literature: an analytical process and an intuitive process. One conceptual model of the latter is the recognition-primed decision (RPD) model (e.g., Klein, 2008). According to this model, decision making in naturalistic contexts entails a situational pattern-recognition process that, if subsequent expectancies are confirmed, leads the decision maker to render a decision to engage in a given course of action. In this paper, we describe a system dynamics model of Klein's RPD framework that focuses upon the dynamics of the decision-making process. The structure of our RPD model is based on a model of a set of laboratory phenomena called conjunction benefits and costs (e.g., L. R. Fournier, Patterson, Dyre, Wiediger, & Winters, 2007), which was extended to encompass the RPD framework. The results of our simulations suggest that decision priming (a bias toward rendering a given decision based on prior information) is a phenomenon that should occur in many naturalistic settings.


2020 ◽  
Vol 48 (10) ◽  
pp. 1-9
Author(s):  
Ran Zhang ◽  
Luming Zhao ◽  
Lin Wu ◽  
Hongxu Chen ◽  
Gaoxing Zhou ◽  
...  

The framing effect is a key topic that has been insufficiently studied in research on behavioral decision making. In our study we explored the effects of optimism on self-framing and risky decision making. Participants were 416 undergraduates who responded to the Life Orientation Test and a self-framing test based on the Asian disease problem. The results demonstrate that, compared with people low in optimism, highly optimistic individuals tended to use more positive words to describe problems, generate more positive frames, and choose more risky options. There was also a significant self-framing effect: Participants with a negative frame tended to be risk-seeking, whereas those with a positive frame tended to avoid risks. Additionally, selfframing suppressed the effect of optimism on risky decision making. We can conclude that optimism has significant effects on self-framing and risky decision making.


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