Abstract:

The new round of scientific and technological revolution and the trend of industrial transformation have created an urgent need for interdisciplinary knowledge production, which has led to the emergence of an organizational structure with a dynamic cooperation network as the main form. Existing research has focused on the relationship between members’ cognitive heterogeneity and organizational learning performance. There is a debate on this which has not yet been explored in dynamic cooperative network organizations. In this paper, the factor of repeated cooperation probability is introduced to construct a dynamic cooperation network. Based on the simulation of agent-based model, the influence of members’ cognitive heterogeneity on the learning performance of dynamic network-based organizations is studied, and three main findings are obtained. First, members’ cognitive heterogeneity has a positive impact on the mean value of organizational learning performance, but at the same time, it also leads to an increase in the variance of organizational learning performance and a decrease in reliability. At this time, increasing the probability of repeated cooperation can mitigate this negative impact and allow organizational learning to gain. There is a balance between “high mean” and “low variance”. Second, when the degree of cognitive consensus is high, organizations that pursue members’ cognitive homogeneity can effectively reduce the variance of learning performance; when the degree of cognitive consensus is low, organizations that pursue members’ cognitive homogeneity has little effect on reducing the variance of learning performance. Third, in organizations with a higher probability of repeated cooperation, cognitively homogeneous organizations have better learning performance than cognitively heterogeneous organizations in the early stages of development, but over time, cognitively heterogeneous organizations have better learning performance than cognitively heterogeneous organizations. The curves intersect and exceed those of cognitively homogeneous organizations, reaching higher levels in the long run. By introducing the variable “probability of repeated cooperation”, this paper bridges the existing theoretical debate on members’ cognitive heterogeneity and organizational learning performance to a certain extent, and provides theoretical guidance for cooperative network organizations to achieve efficient and stable learning.

Key words: dynamic network-based organization, cognitive heterogeneity, repetitive cooperation, organizational learning

摘要：

新一轮科技革命和产业变革趋势对交叉学科知识生产形成了迫切需求，由此催生了以动态合作网络为主要形态的组织结构，既有研究在成员认知异质性与组织学习绩效的关系上存在争论，而该争论尚未在动态合作网络型组织中加以探讨。引入重复合作概率这一因素构建动态合作网络，基于Agent-Based Model模拟仿真，研究了成员认知异质性对动态网络型组织学习绩效的影响，得到三方面主要发现：首先，成员认知异质性对组织学习绩效均值有正向影响，但同时也会导致组织学习绩效方差增大，可靠性降低，提高重复合作概率可以对这一负面影响起到减缓作用，让组织学习获得“高均值”与“低方差”的兼顾。其次，当认知共识化程度较高时，组织奉行同质化成员认知的策略能够有效地降低学习绩效的方差；当认知共识化程度较低时，组织奉行同质化成员认知的策略对于降低学习绩效方差的作用不大。最后，在重复合作概率较高的组织中，认知同质性组织在发展初期的学习表现要优于认知异质性组织，但随着时间推移，认知异质性组织的学习表现曲线会相交并超过认知同质性组织的曲线，在长期中达到更高的水平。本研究通过引入“重复合作概率”这一变量，在一定程度上弥合了现有关于成员认知异质性与组织学习绩效的理论争论，为合作网络型组织收获高效且稳定的学习提供了理论指导。

关键词: 动态网络型组织, 认知异质性, 重复合作, 组织学习