Differences between Entrepreneurs and Managers in Large Organizations: An Implementation of a Theoretical Multi-Agent Model on Overconfidence Results

Riccardo Sartori, Andrea Ceschi, Andrea Scalco ABSTRACT: The well-known research carried out by Busenitz and Barney (1997) exploring differences in the decision-making processes between entrepreneurs and managers in large organizations has been revisited and redesigned as a starting point to create a computational and theoretical Multi Agent Model (MAM) which shows differences in the decision-making[…]

Designing a Homo Psychologicus More Psychologicus: Empirical Results on Value Perception in Support to a New Theoretical Organizational-Economic Agent Based Model

Andrea Ceschi, Riccardo Sartori, Enrico Rubaltelli ABSTRACT: The study presents a new approach of modelling human behavior based on empirical evidence on individual differences in cognitive science and behavioral economics fields. Compared to classical studies of economics, empirical research makes use of the descriptive approach to analyze human behavior and to create models able to[…]

Computational models and social simulations

In a world where data are becoming everyday more easily available, such business and social sciences as management, economics, sociology and psychology are struggling to better identify and understand how human behaviors, everyday interactions and decision-making processes are related together: indeed, the main actor of social systems – the human being – still remains today[…]

Exploring Selfish versus Altruistic Behaviors in the Ultimatum Game with an Agent-Based Model

Andrea Scalco, Andrea Ceschi, Riccardo Sartori, Enrico Rubaltelli ABSTRACT: In the present study we developed a simulation where agents play repeatedly the ultimatum game with the aim of exploring their earnings for several thresholds of willingness to accept proposals. At the same time, the scope is also to provide a simple and easily understandable simulation[…]