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

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS International Journal of Modeling Simulation and Scientific Computing Pub Date : 2016-06-02 DOI:10.1142/S179396231650001X
Moo Jun Hao, Gong Guang-hong, Li Ni, K. Haipeng
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引用次数: 1

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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基于大五因素理论和ABMS方法的组织绩效模型
如何预测和改变组织绩效一直是经济学家和管理者关注的焦点问题。大五因素理论在心理学家中非常流行,ABMS (Agent-Based Modeling and Simulation)方法在系统科学中得到了广泛的应用。通过整合大五因素和ABMS,我们提出了一个预测组织绩效的模型。在人格五个维度建立了描述一对一合作的模糊规则,建立了描述团队成员之间合作关系的非对称网络模型。并对一系列案例进行了研究,验证了结果的合理性。
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CiteScore
2.50
自引率
16.70%
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0
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