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中国管理科学

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基于多智能体模拟的环境与组织设计互动研究

王缓缓1,2, 胡斌2, 蒋国银3   

  1. 1. 三峡大学计算机与信息学院, 湖北宜昌 443002;
    2. 华中科技大学管理学院, 湖北武汉 430074;
    2. 湖北经济学院, 湖北武汉 430205
  • 收稿日期:2009-07-15 修回日期:2011-05-20 出版日期:2011-12-30 发布日期:2011-12-30
  • 作者简介:王缓缓(1978- ),女(汉族),辽宁兴城人,三峡大学计算机与信息学院,博士生,讲师,研究方向:组织理论、管理系统模拟。
  • 基金资助:
    国家自然科学基金资助项目(71071065,70671048);湖北省交通厅鄂交科教课题(2007-582);湖北省教育厅科学研究计划优秀中青年人才资助项目

Research on the Interaction between the Environment and Organizational Design Based on Agent-Based Simulation

WANG Huan-huan1,2, HU Bin2, JIANG Guo-yin3   

  1. 1. College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China;
    2. School of Management, Huazhong University of Science and Technology Wuhan 430074, China;
    3. College of Information Management, Hubei University of Economics, Wuhan 430205, China
  • Received:2009-07-15 Revised:2011-05-20 Online:2011-12-30 Published:2011-12-30

PDF (PC)

1899

被引次数

4

摘要： 首先,根据现有的理论和研究成果分析组织与环境互动机制。其次对任务环境不确定性从简单-复杂和稳定-不稳定两个维度进行建模,即:是根据Aldich的理论和NK模型对任务环境复杂度进行建模;同时借助多智能体模拟方法对任务环境的稳定-不稳定维度进行建模。然后通过模拟实验分析组织设计变量及其相互间的作用对不同形态组织的决策绩效的影响,给出环境与组织的情境互动的分析框架。最后总结出模型结果对组织设计的启示。

关键词: 组织设计, 环境不确定性, NK模型, 多智能体模拟

Abstract: Firstly,based on existing works,the interactions between organizational design and environment are analyzed.Secondly,a model of task environment is proposed which can model the environmental uncertainty from complexity and dynamic state of task information.In the model,the complexity of environment is modeled according to Aldich's theory and NK model.Furthermore,the multi-agent modeling and simulation is used to model the task environmental turbulence.Then through a set of simulation experiments, how the design variables are matched so as to adapt the environment is researched and an analysis framework of interactions between organizational design and environment is outlined.At last,the implications of the results for the practice are put forward in the conclusion.

Key words: organizational design, environmental uncertainty, NK model, multi-agent modeling and simulation

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