Effective Construction of Collective Learning Mechanisms in Hi-Tech Industrial Clusters

摘要：

Collective learning in hi-tech industrial clusters helps the expansion of the knowledge base and the competitiveness improvement of the whole cluster. This paper analyses the approaches of collective learning which includes the personal flow, the interaction with upstream and downstream enterprises, the derivation of enterprises and the informal communication, states the connotation and characteristics of the collective learning mechanisms, constructs a model of the mechanisms of collective learning in hi-tech industrial clusters. To ensure the cluster vitality and gain benign dynamic development of overall cluster, the cluster members should build effective ways of collective learning based on their own characteristics and locations in the hi-tech industrial cluster.

作者: Yang Aijie

作者单位: School of Culture and Law,Wuhan University of Technology,Wuhan,P.R.China,430070

会议类型: 国际会议

会议名称: The 7th International Conference on Innovation and Management(第七届创新与管理国际会议 ICIM 2010)

会议地点: 武汉

会议语种:英文

页码: 935-939

在线出版日期: 2010-12-04（万方平台首次上网日期，不代表论文的发表时间）