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

Authored by Guanghong Gong, Hao Mo, Ni Li, Haipeng Kong

Date Published: 2016

DOI: 10.1142/s179396231650001x

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: Other Narrative Pseudocode Mathematical description

Model Code URLs: Model code not found

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.
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