Journal of Dynamic Decision Making

The Journal of Dynamic Decision Making (JDDM) offers a peer-reviewed interdisciplinary open-access publication outlet for research on cognitive and behavioral processes involved in dynamic decision making. It is free of charge for both authors and readers. Contributions are expected primarily from the field of psychology but also from other disciplines like economics, philosophy, cognitive science, or system dynamics. Please refer to our Focus and Scope as well as our Author Guidelines, if you are interested in making a contribution to JDDM. For further information you may also refer to our first Editorial Statement.


Recent Articles

Valence Matters in Judgments of Stock Accumulation in Blood Glucose Control and Other Global Problems
Cleotilde Gonzalez, Maria-Isabel Sanchez-Segura, German-Lenin Dugarte-Peña, Fuensanta Medina-Dominguez
Stock-flow failure is a reasoning error in dynamic systems that has great societal relevance: people misjudge a level of accumulation (i.e., stock) considering the information on flows that increase (i.e., inflow) or decrease (i.e., outflow) over time. Many interventions, including the use of analogies and graphical manipulations, to counteract this failure and help people integrate the flow information have been tested with little or no success. We suggest that this error relates to the valence of a problem: the framing of the inflow or outflow direction as “good” or “bad” is associated with the direction of its accumulation over time. To explore ... (more)
JDDM doi: 10.11588/jddm.2018.1.49607
Illuminating divergence in perceptions in natural resource management: A case for the investigation of the heterogeneity in mental models
Karlijn van den Broek
Much research has been dedicated to map mental models of natural resources to aid effective management of the natural resource. The variety of approaches result in a variety of outputs, but most research in this domain reports mental models that have been aggregated across participants. This results in a misrepresentation of mental models as it overlooks valuable variance in understanding between individuals that could be key in effective decision-making. This paper illustrates such variance in mental models through a case study that explored mental models of the Nile perch fisheries at Lake Victoria. ... (more)
JDDM doi: 10.11588/jddm.2018.1.51316
Gentrit Berisha, Justina Shiroka Pula, Besnik Krasniqi
Decision making research has witnessed a growing number of studies on individual differences and decision making styles, yet the lack of comprehensive frameworks and widely accepted measures has hindered research for a long time. There is an ongoing debate on whether individuals’ styles dynamically change across time and situations according to circumstances. Furthermore, it is an open question whether these styles are mutually exclusive. Decision style measures seek to determine one's dominant style as well as less used styles. To our knowledge this is the first study of the convergent validity of two widely used decision making style measures: The Decision Style Inventory (DSI) and the General Decision Making Style (GDMS). ... (more)
JDDM doi: 10.11588/jddm.2018.1.43102
Lisa Vangsness, Michael E. Young
Previous research suggests that individuals faced with risky choices seek ways to actively reduce their risks. The risk defusing operators (RDOs) that are identified through these searches can be used to prevent or compensate for (here, pre- and post-event RDOs, respectively) negative outcomes. Although several factors that affect RDO selection have been identified, they are limited to static decisions conducted during descriptive tasks. The factors that influence RDO selection in dynamically unfolding environments are unknown, and the relationship between task characteristics and RDO selection has yet to be mapped. We used a videogame environment ... (more)
JDDM doi: 10.11588/jddm.2017.1.41543
Barbara Frank, Annette Kluge
To handle complex technical operations, operators acquire skills in vocational training. Most of these skills are not used immediately but at some point later; this is called temporal transfer. Our previous research showed that cognitive abilities such as general mental ability (GMA) and memory are good predictors of temporal transfer. In addition to temporal transfer, operators also have to solve non-routine and abnormal upcoming problems using their skill set; this type of transfer is called adaptive transfer. ... (more)
JDDM doi: 10.11588/jddm.2017.1.40004