DocumentCode :
3345601
Title :
The Empirical Impact of Internal Knowledge Structure on the Endogenous Industrial Clusters Innovation
Author :
Wu Xianhua ; Ma, Tinghuai ; Tian, Ye
Author_Institution :
Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
fYear :
2009
fDate :
14-17 Oct. 2009
Firstpage :
721
Lastpage :
725
Abstract :
This paper, by using social network analysis and statistical methods, mainly introduces the systematic idea, studies the internal structure of cluster knowledge system, and distinguishes several different cognitive roles in cluster knowledge system. The empirical results show that, although the knowledge in the air "spread evenly", it is mainly among the cores with strong absorptive capacity. The technology gatekeepers are the largest roles of knowledge acquisition, creation, and the other roles have relatively closed cognitive. It is necessary to enhance the absorptive capacity of enterprises in clusters to improve the innovation and learning ability of clusters.
Keywords :
knowledge management; pattern clustering; statistical analysis; cluster knowledge system; endogenous industrial clusters; innovation; internal knowledge structure; social network analysis; statistical methods; Cities and towns; Computer industry; Computer networks; Genetics; Information science; Knowledge based systems; Marketing and sales; Paper technology; Social network services; Technological innovation; Absorptive capacity of knowledge; Endogenous industrial clusters; Innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
Type :
conf
DOI :
10.1109/WGEC.2009.189
Filename :
5402812
Link To Document :
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