The effect of thinking style on dynamic systems performance: The mediating role of stock-flow understanding
Journal of Behavioral and Experimental Economics, ISSN: 2214-8043, Vol: 95, Page: 101778
2021
- 1Citations
- 20Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Dynamism is an important characteristic of many systems, including those of an economic nature. These systems include stocks (i.e., accumulations) and flows (i.e., inflows and outflows) that change the stock's level. Previous studies show that rational thinking positively influences decision making and performance in dynamic systems. This paper reports on two studies designed to examine whether rational thinking improves performance in dynamic systems both directly and indirectly through stock-flow understanding. An inventory management task known as the near-beer game measures dynamic systems performance. The first study uses two standard gauges of rational thinking: the Cognitive Reflection Test (CRT) and Rational-Experiential Inventory (REI-40). The results of this study support the hypothesis that rational thinking has a significant positive direct effect on performance, as well as a significant indirect effect through stock-flow understanding. The second study uses a one-factor experimental design with three levels for thinking mode manipulation, including rational thinking, intuitive thinking, and control conditions. The results support only an indirect effect in which rational thinking improves stock-flow understanding and, in turn, dynamic systems performance. Taken together, the two studies indicate that rational thinking in chronic and situational forms improves stock-flow understanding and performance in dynamic systems.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S221480432100118X; http://dx.doi.org/10.1016/j.socec.2021.101778; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85122740071&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S221480432100118X; https://dx.doi.org/10.1016/j.socec.2021.101778
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know