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	Network structure and knowledge transfer
	Tang, Fangcheng
	2010-05-10 ; 2010-05-10
会议名称	Computational Science - ICCS 2007, Pt 4, Proceedings ; 7th International Conference on Computational Science (ICCS 2007) ; Beijing, PEOPLES R CHINA ; Web of Science
关键词	knowledge transfer hierarchical network scale-free network Computer Science, Theory & Methods
中文摘要	This study employs single layer perceptron model (SLPM) to explore how the topological structure of intra-organization networks affects knowledge transfer. The results demonstrate that in the process of knowledge transfer, both the disseminative capacity of knowledge senders and the absorptive capacity of knowledge receivers should be taken into consideration. While hierarchical networks can enable greater numbers of organizational units to acquire knowledge, they reduce the speed and efficiency of knowledge transfer, whereas scale-free networks can accelerate transfer of knowledge among units.
会议录出版者	SPRINGER-VERLAG BERLIN ; BERLIN ; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19785]
专题	清华大学
推荐引用方式 GB/T 7714	Tang, Fangcheng. Network structure and knowledge transfer[C]. 见:Computational Science - ICCS 2007, Pt 4, Proceedings, 7th International Conference on Computational Science (ICCS 2007), Beijing, PEOPLES R CHINA, Web of Science.

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