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[…]

An agent based model approach to study prosocial behavior in organizations

Riccardo Sartori, Andrea Ceschi, Dorina Hysenbelli, Xiuzhi Sang ABSTRACT: Using a simulation named Agent Based Model (ABM) (Bonabeau, 2002; Epstein, 2006) we explore the effect of some prosocial behavior variables in a virtual environment, such as: Motivation to help, Warm- Glow feelings associated with helping (Andreoni, 1990), and the Pseudo-inefficacy effect. The Pseudoinefficacy effect found[…]

Cooperate or Defect? How an Agent Based Model Simulation on Helping Behavior Can Be an Educational Tool

Andrea Ceschi, Dorina Hysenbelli, Riccardo Sartori, Giuseppe Tacconi ABSTRACT: Over the last years, Agent Based Models (ABMs) have become an important in-strument to simulate social complex phenomena. At the same time, they have shown interesting implications for learning activities. To this purpose, we report a simulation on helping behavior carried out by means of an[…]

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[…]

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[…]