网络信息不对称性、嵌入性与组织学习绩效研究

运用计算机仿真方法,研究学习网络形成过程中人际之间信息对称性和嵌入性两个因素如何影响组织学习绩效和社会网络特征。结果表明,在信息对称情况下,低嵌入性网络有利于探索式学习,高嵌入性网络有利于利用式学习;在信息不对称情况下,信息不对称性抑制组织学习绩效,而且,高嵌入性网络倾向于形成路径依赖,对知识学习的抑制程度高于低嵌入性网络,导致高嵌入网络学习绩效低于低嵌入网络。在所形成的社会网络中,信息对称网络的网络集聚系数小于信息不对称网络;信息对称的嵌入性网络的集聚系数变化过程呈现从高往低的变化特点。

Effect of Information Asymmetry and Embeddedness on Organizational Learning

Using simulation research method,this research considers how information asymmetry and embeddedness influence the formation of learning network and organizational learning performance.The results indicate that,low embeddedness facilitate exploration learning while high embeddedness facilitate exploitation learning in information symmetry network.On the contrary,information asymmetry inhibit exploration learning,furthermore,the inhibit effect is stronger in embeddedness network than in random network.According to network structure,embeddedness network is higher stability than random network,information asymmetry positive to cluster coefficient.We discuss the implications and future research direction in the end.