We conduct a lottery experiment to assess the predictive importance of simple choice process metrics (SCPMs) in forecasting risky 50/50 gambling decisions using different types machine learning algorithms as well traditional modeling approaches. The SCPMs are recorded during fixed pre-decision phase and derived from tracking subjects’ eye movements, pupil sizes, skin conductance, cardiovascular...

Abstract In most developing countries non-irrigation status often dominates adoption of traditional and modern irrigation technology. In this paper, we study the effect of production risk on irrigation technology choice among small-scale farmers in Chile, applying sample selection and discrete choice models. We find that more educated farmers, with credit access, receiving extension services, a...

Purpose The paper offers a dynamic theory of leadership development. Design/methodology/approach – The paper examines selected leadership literature through the lens of theory building blocks. It identifies the role of the ideal goal in leadership and its importance in developing the psychological aspect of leadership. Findings – The paper posits that leadership is a developmental process, whic...

We consider within the framework of the Mean Field Games theory a dynamic discrete choice model with social interactions, where a large number of agents/players are choosing between two alternatives while influenced by the group’s behavior. We introduce the “Min-LQG” optimal control problem, a modified Linear Quadratic Gaussian (LQG) optimal control problem that includes a minimum term in its f...

Investigating career motivations and intentions of dental students provides a better understanding of their role in society and contributes to the debate on dental education and practices. This study describes the profile, career choice motivations, and career intentions of Brazilian dental students and evaluates factors related to these choices. A cross-sectional study was carried out among de...

We discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation. Such approaches incorporate several elements of cognitive process that have been identified as important to the choice process, including strong dependence on history and context, perception formation, and latent constraints. A flexible and practical hybrid choice model i...