A model of organizational performance based on the big-five factor theory and ABMS method

Abstract

How to predict and change organizational performance has been a focus problem drawing economists and managers’ attention for a long time. The Big-five Factor theory is very popular among psychologists and ABMS (Agent-Based Modeling and Simulation) method is widely used in Systems Science. By integrating Big-five Factor and ABMS, we proposed a model to predict organizational performance. Fuzzy rules were built up to describe one-on-one cooperation in the five dimensions of personalities and an unsymmetrical network model was established to depict cooperation relationships between team members. What is more, a series of cases was studied and the result was proved to be rational.