The Ecological Simulation Approach to The Evolution of Interorganizational Relations

本研究认为，生态方面的管理演变。组织学习的生态结构使得学习过程的系统建模变得复杂。首先，本研究描述和批评的计算机模拟模型的相互学习开发的J.G.March。他的模拟模型在分析非均衡锁定时存在缺陷，得出了错误的、相反的结论。我们制定了一个Excel版本的三月的模拟模型，以跟踪锁定现象和平衡的组织内生态学习的原因。在充分证据的基础上，我们得出了一个合理的结论，即组织常规的持续性是获得良好组织绩效的必要条件。其次，本研究采用基于主体的模拟方法对组织的形成过程进行分析。基于主体的模拟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。本文提出了一个基于Agent的通信竞争模型，即“ComCom模型”。“模拟的含义如下：（1）大代理人无法赢得小代理人的支持。(2)在创业阶段，大代理人提高了大集群的出现速度。然而，它们并不能提高集群在稳定阶段的通信性能。(3)大型代理商并不在集群的中心。它们在星团的外围活动。看上去像是触手。(4)具有高变化倾向的主体的游荡模型从未达到任何平衡点。但与有界理性和均衡模型相比，游荡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)