Research on the evaluation of enterprise knowledge integration capability based on Fussy-GRNN

Author

Tong, Ze-hua ; Chen, P. Quan-ping ; Yao, Wei

Author_Institution

Bus. Sch., Nankai Univ., Tianjin, China

Volume

Part 1

fYear

2011

fDate

3-5 Sept. 2011

Firstpage

347

Lastpage

351

Abstract

Knowledge integration is an important research topic in the field of Knowledge management. Knowledge integration can help improve the level of knowledge management, enhance the capability of knowledge innovation and the capability of technological innovation, and form the core advantages. Therefore, how to evaluate the enterprises´ capability of knowledge integration becomes an important issue for enterprises. This thesis builds an evaluation index system of enterprises´ capability of knowledge integration, and proposes the evaluation model of enterprise knowledge integration capability based on Fussy-GRNN. And this paper conducts an empirical research. The method overcomes some deficiencies of the existing methods, and has some significance for the evaluation of enterprise knowledge integration capability.

Keywords

fuzzy set theory; innovation management; knowledge management; organisational aspects; enterprise knowledge integration capability; evaluation index system; fuzzy-GRNN; knowledge innovation; knowledge management; technological innovation; Biological neural networks; Educational institutions; Indexes; Input variables; Knowledge engineering; Neurons; Technological innovation; Enterprise knowledge integration capability; Evaluation; Fussy- GRNN; Index system;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-61284-446-6

Type

conf

DOI

10.1109/ICIEEM.2011.6035173

Filename

6035173