摘要
采用仿真方法模拟知识在网络组织间转移过程,分析了静态加权网络组织和动态加权网络组织的网络结构、结点特征对知识转移的影响。仿真结果表明:知识在网络组织中的转移速率很大程度上取决于网络拓扑结构动态变化情况;新结点加入和旧结点退出的概率越小,网络组织越稳定,越有利于网络组织知识的转移;网络平均邻接点数越大、结点学习能力越强,知识转移越快;网络规模越大,知识转移相对较快,其影响效果随知识转移频繁程度的增大而增强;网络组织动态演化过程中,结点成员的连结机制对知识转移速率影响不明显。
In order to analysis the impacts of network structure characteristics and note characteristics on knowledge transfer,this paper used simulation approach to simulate the process of knowledge transfer within static weighted network and dynamic weighted network organization. Results from simulation experiments show that： the higher the probability of new nodes adding and old nodes disappearing is,the lower the transfer rate is. In other words,the more stable of the network is,the higher the transfer rates is; the more adjacent nodes an organization has,the faster the knowledge transfer; the influence of network size is not significantly at early stages,but the influence of network size strengthens as the numbers of transfer increase,the larger the network size is,the faster the knowledge transfers; learning capacity have an important impact on knowledge transfer,the stronger the firms learning capacity is,the more efficient and effective the knowledge transfer will be; the effection of the attachment rules that connecting two existing nodes on knowledge transfer is not significant.
出处
《中国软科学》
CSSCI
北大核心
2014年第3期142-152,共11页
China Soft Science
基金
国家自然科学基金项目(71371071)
国家自然科学基金委创新群体项目(71221061)
湖南省哲学社会科学基金重大委托项目(12WTA45)
教育部博士点基金(20130162120044)
湖南省哲学社会科学基金重点项目(11ZDB060)
湖南省哲学社科基金(12YBB286)
湖南省科技厅计划专项(2012RS4027)
关键词
网络组织
知识转移
静态网络
动态网络
network organization
knowledge transfer
static network
dynamic network
