DocumentCode :
1831522
Title :
Notice of Retraction
The optimization of Knowledge Collaboration based on knowledge network
Author :
Li-ping Quan ; Rui-shen Chen ; Hai-feng Zhao ; Guan-wei Huang
Author_Institution :
Sch. of Manage., Fudan Univ., Shanghai, China
Volume :
5
fYear :
2011
fDate :
13-15 May 2011
Firstpage :
177
Lastpage :
180
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.

Here we improve the theoretical framework for the optimal collaboration among researchers in a research team. A knowledge network model is established to find out the coefficient donating the efficiency of the collaboration with each pair of researchers. Furthermore, the variational inequality theory is employed to work out for the optimal solution for the time allocation problem. Finally a numeric example based on the data from Shanghai Institution for Science of Science confirms the feasibility of the methodology of modeling. This research will help the application of Knowledge Collaboration Network Model in the knowledge management of research teams.
Keywords :
knowledge management; Shanghai Institution for Science; knowledge collaboration; knowledge management; knowledge network model; optimal collaboration; research team; Collaboration; Data models; Economics; Knowledge engineering; Mathematical model; Numerical models; Resource management; knowledge collaboration; knowledge networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-61284-108-3
Type :
conf
DOI :
10.1109/ICBMEI.2011.5914453
Filename :
5914453
Link To Document :
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