The first year of the Journal of Dynamic Decision Making

Abstract

We are proud to announce the completion of our first volume 2015, which comprises a range of interesting findings about modelling, training, and assessing Dynamic Decision  Making (DDM). These contributions to the first volume of the Journal of Dynamic  Decision Making exemplify many relevant aspects of DDM as well as multiple  perspectives that can be taken to investigate this multi-facetted phenomenon: Dutt and Gonzalez (2015) demonstrate the benefit of using process-data in decision modeling to explain both process and outcomes of DDM. Güss, Tuason and Orduña (2015) write about decision making in complex dynamic environments and investigated how performance can be predicted by observations of certain strategies, tactics, and errors. Kretzschmar and Süß (2015) present an extensive training study and found that training with multiple complex environments had positive effects on knowledge acquisition but not on knowledge application in a DDM transfer task. Hundertmark et al. (2015) report differential effects of cognitive ability on performance in different kinds of DDM tasks (e.g., effects are smaller in case of negative feedback), and Fischer and Neubert (2015) propose a model of problem solving competence (composed of knowledge, skills, abilities and other components) that explains what is required to handle complex dynamic environments. As editors, we are pleased by the breadth and quality of the initial contributions and thank the authors for supporting JDDM!