Journal of Dynamic Decision Making

Some evidence for the effectiveness of a brief error management training in complex, dynamic, and uncertain situations

C. Dominik Güss — 2024-05-23

The current study explores the effects of a brief training program on complex problem solving (CPS) and dynamic decision making (DDM) performance in two computer-simulated tasks with different task characteristics, ChocoFine (N = 76) and WinFire (N = 99). Half of the participants in each simulation group received a brief training on 16 frequent CPS and DDM errors. We hypothesized that participants who received the training in errors would show better performance, report fewer errors, and show fewer behavioral errors compared to those who did not receive the error training prior to the start of the simulated tasks. The results showed that participants in both training groups had better performance scores. Participants in the training condition reported fewer self-reported errors compared to the no-training group only in the ChocoFine simulation. Regarding behavioral errors, status-quo bias was related to weaker performance in both simulations. These findings have implications for leaders who are prone for the status-quo bias and for organizations which could implement trainings programs for DDM and CPS.

Fighting the Hydra

Tjorven Harmsen — 2024-12-28

Crises today occur in manifold variants. Cyberattacks, floods, wars, pandemics – the list of cases is ongoing. Academic literature recognizes them as “transboundary crises” (Ansell et al. 2010) or as “global polycrisis” (Homer-Dixon et al., 2022), referring to their transgressing, cascading and overlapping dynamics in both space and time. In this paper, we discuss how decisions are made at a local level in such dynamic, if not disruptive, environments. By combining DDM and crisis management literature, we illustrate how the decision-making evolves when the crisis shows transboundary characteristics, that is, when cascading dynamics call for even more decisions (hence the “Hydra” metaphor referring to a monster in Greek mythology that multiplies its heads once it is being fought). The paper draws on a qualitative study on decision processes in local authorities and organizations in Germany during the Covid-19 pandemic. It can show (1) how these local actors build inter-organizational networks (e.g. task forces) in order to synchronize their decision processes against the background of changing federal requirements; (2) how, due to the duration of the pandemic, rather permanent decision systems developed; and (3) how these networks learn to sustain dynamic decision-making capacities in order to cope with crises following Covid-19, such as the effects of the war in the Ukraine or recent climate impacts. With these findings we contribute to an “integrative” conception of crisis in current crisis management literature that seeks definition in a dynamic process view rather than using either objective or subjective criteria. A DDM approach allows for a more detailed realization of this conceptual shift by representing the current “cascading disasters” as “cascading decision-making”. This understanding focuses on the active role decision-making plays as well as it reflects on the fact that decision-making in today’s crises always involves others making decisions, too.

Motives for economic migration: A review

Kerstin Mitterbacher — 2025-01-24

Migration is a key driver of economic and societal transformation, touching people’s lives worldwide. Understanding why people decide to migrate is crucial for fostering inclusive and diverse societies and informing effective policy-making. This paper focuses on economic migrants, a particular group of migrants whose study has primarily been confined to narrow areas of interest and characterized by inconsistent terminology, limiting cross-study comparability and the synthesis of findings. Viewed through the interdisciplinary lens and derived from theoretical, empirical, and analytical research outcomes, the present paper concludes that economic migrants’ movements are influenced by the socio-demographic factors of ‘age’ and ‘education’ and are motivated by both the economic motives of ‘expected income’ and ‘employment’ and the economic-related motives of ‘corruption’, ‘amenities’, and ‘happiness’. These motives also reveal a typical profile of economic migrants: working-age, highly educated, predominantly male individuals who seek opportunities in developed countries to achieve a fulfilling life. The presented findings contribute to a better understanding of the dynamic decision-making process of economic migrants and offer valuable insights for policymakers to design more nuanced and targeted strategies for integrating migrants into societies.