DocumentCode
3179591
Title
Research on the relationship between knowledge grey generation and innovation performance in knowledge-based enterprises
Author
Wenping, WANG ; Haiyan, Shan ; Yuqing, Chen ; Cheng, Yongbo
Author_Institution
Econ. & Manage. Sch., Southeast Univ., Nanjing, China
fYear
2010
fDate
10-13 Oct. 2010
Firstpage
692
Lastpage
698
Abstract
The knowledge grey generation process in knowledge-based enterprises consists of the merging, recombination, splitting and deletion of knowledge units, which is the smallest behavior unit of the transformation from internal knowledge to value. This paper establishes a knowledge grey generation model of the knowledge-based enterprises to study the relationship between knowledge grey generation and innovation performance. Through simulation analysis, it concludes that the knowledge grey generation strength can influence the innovation performance differently in the enterprises of different innovation modes. Specifically, in the initial stage of knowledge generation, the innovation performance increases with the knowledge grey generation strength; with time evolution, the innovation performance will be down after it gets the maximum; the rules of the relationship between knowledge grey generation strength and innovation performance are different under different innovation modes.
Keywords
business process re-engineering; grey systems; innovation management; knowledge management; numerical analysis; innovation performance; knowledge deletion; knowledge grey generation; knowledge merging; knowledge recombination; knowledge splitting; knowledge units; knowledge-based enterprises; Knowledge based systems; Merging; Technological innovation; innovation mode; innovation performance; knowledge grey generation; knowledge-based enterprise;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1062-922X
Print_ISBN
978-1-4244-6586-6
Type
conf
DOI
10.1109/ICSMC.2010.5641833
Filename
5641833
Link To Document