The Ecological Simulation Approach to The Evolution of Interorganizational Relations

这项研究考虑了管理进化的生态方面。组织学习的生态结构使学习过程的系统建模变得复杂。首先，本文对j.g.m march提出的互学计算机模拟模型进行了描述和批判。他的仿真模型在分析非均衡锁定时存在缺陷，并得出了错误的、相反的结论。为了追踪组织内学习生态中的锁定现象和平衡的原因，我们制定了March模拟模型的Excel版本。在充分证据的基础上，我们得出了一个合理的、合乎逻辑的结论：组织常规的坚持是获得良好组织绩效的必要条件。其次，采用基于agent的仿真方法对组织的新兴过程进行分析。基于智能体的仿真是复杂性研究的代表性方法之一，近年来被用于从局部问题中学习并设计全局解决方案。本文提出了一种基于代理的通信竞争模型，俗称“ComCom模型”。模拟的含义如下：(1)大代理无法赢得小代理的支持。(2)大代理在启动阶段提高了大集群的涌现速度。然而，它们不能提高集群在稳定阶段的通信性能。(3)大代理不在集群的中心。他们在集群的外围活动。它看起来像触角。(4)具有高变化倾向的agent的流浪模型从未达到任何平衡点。但与有界理性和均衡模型相比，漫游模型提高了集群的通信性能。(270字)

This study considers ecological aspects of managerial evolution. The ecological structure of organizational learning complicates the systematic modeling of learning process. First, this study describes and criticizes the computer simulation model of mutual learning developed by J.G.March. His simulation model has pitfalls in analyzing non-equilibrium lock-in, and he draws a wrong and opposite conclusion. We formulate an Excel version of March's simulation model in order to trace the causes of lock-in phenomena and equilibrium in the intraorganizational ecology of learning. On the basis of proper evidence, we reach a sound and logical conclusion that the persistence of organizational routine is a necessary condition to obtain a good organizational performance.Second, this study is to analyze the emerging process of organizations by using agent-based simulation. The agent-based simulation is one of the representative methods of complexity research and recently used to learn from local problems and to devise a global solution. We develop an agent-based communication competition model which is familiarly called "ComCom Model." The implications of the simulations are as follows : (1) The big agents cannot win small agents over their side. (2) The big agents increase the emerging speed of the large clusters in the start up phase. However, they cannot improve clusters' communication performance in the steady phase. (3) The big agents are not at the centers of the clusters. They move around at outskirts of the clusters. It looks like tentacles. (4) The wandering model of agents having high propensity to change has never reached any equilibrium points. But the wandering model improves clusters' communication performance in comparison with the bounded rational and equilibrium model.(270 words)