Abstract for: Integrating Stock-and-Flow Structures in Decision-support Dashboards A Catalyst to Improve Dynamic Decision Making

According to natural decision models, good decisions are mainly dependent on understanding the consequences of chosen options. Thus, receiving information on causal relations between options and results should be helpful. Using a capacity management simulator, we conducted laboratory experiments with two levels of complexity in which participants had to make decisions repeatedly. Results are that showing not only key performance indicators on the user interface but also visualizing causal relations between them leads to better decisions. The results are stronger in the more complex situation