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

Mo Hao; Gong Guanghong; Li Ni; Kong Haipeng

doi:10.1142/S179396231650001X

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

Mo Hao^*
, Gong Guanghong
, Li Ni
, Kong Haipeng

^*此作品的通讯作者

自动化科学与电气工程学院

Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
文章编号	1650001
期刊	International Journal of Modeling, Simulation, and Scientific Computing
卷	7
期	2
DOI	https://doi.org/10.1142/S179396231650001X
出版状态	已出版 - 1 6月 2016

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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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AU - Hao, Mo

AU - Guanghong, Gong

AU - Ni, Li

AU - Haipeng, Kong

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N2 - 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.

AB - 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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KW - unsymmetrical network model

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

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