DocumentCode
1631679
Title
Notice of Retraction
Empirical study of individual influence on team knowledge sharing
Author
Wei, Cheng ; Jigan, Wang ; Weiwei, Lv ; Chuanhao, Fan
Author_Institution
Institude of Humance, Resources, Hohai University, Nanjing, China
fYear
2011
Firstpage
1
Lastpage
5
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.
How to share knowledge within the team to increase team effectiveness has become a focus in theory and business circles. Basing on the literature review, this paper starts with personal factors that affect knowledge sharing within the team, and uses questionnaires, interviews, other research methods and SPSS analysis to make a systematic analysis of individual factors that affect knowledge sharing. The results show that: knowledge sharing has a significant positive correlation with knowledge stock, sharing motivation and sharing ability at level of 1%, 5%, and 10% respectively.
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.
How to share knowledge within the team to increase team effectiveness has become a focus in theory and business circles. Basing on the literature review, this paper starts with personal factors that affect knowledge sharing within the team, and uses questionnaires, interviews, other research methods and SPSS analysis to make a systematic analysis of individual factors that affect knowledge sharing. The results show that: knowledge sharing has a significant positive correlation with knowledge stock, sharing motivation and sharing ability at level of 1%, 5%, and 10% respectively.
Keywords
Analytical models; Correlation; Economics; Mathematical model; Organizations; Regression analysis; Reliability; knowledge stock; sharing ability; sharing motivation;
fLanguage
English
Publisher
ieee
Conference_Titel
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location
Shanghai, China
Print_ISBN
978-1-4244-8691-5
Type
conf
DOI
10.1109/ICEBEG.2011.5881509
Filename
5881509
Link To Document