DocumentCode :
2552164
Title :
Notice of Retraction
Knowledge Stock Measurement of Enterprises in Industry Cluster Based on Grey Relational Analysis
Author :
Shi Ying ; Li, Qu ; Tian Zhaoyun
Author_Institution :
Beijing Inf. Sci. & Technol. Univ., Beijing, China
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
816
Lastpage :
820
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.Knowledge stock measurement is an important branch of knowledge management. It has important significance in both rational position and evaluation the level of enterprise knowledge stock. Accurate measurement of knowledge stock can also help enterprises improve knowledge management efficiency, and increase the innovation of the whole cluster. Based on the characteristics of cluster enterprises and GRA (Grey Relational Analysis), this paper constructs the knowledge stock model of cluster enterprises and its evaluation index system. The end of the paper analyses the whole model with examples. Research shows that GRA is a simple and effective method on evaluation of cluster enterprise knowledge stock.
Keywords :
grey systems; innovation management; knowledge management; cluster enterprise knowledge stock; evaluation index system; grey relational analysis; industry cluster; innovation; knowledge management efficiency; knowledge stock measurement; Educational institutions; Indexes; Industries; Knowledge based systems; Knowledge management; Organizations; Technological innovation; (GRA)Grey Relational Analysis; Industrial cluster; Knowledge stock;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
Type :
conf
DOI :
10.1109/FSKD.2012.6234293
Filename :
6234293
Link To Document :
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