DocumentCode
1649488
Title
Notice of Retraction
Research on the model of multi-team learning based on MTS theory
Author
Xiao Yu-chun ; Geng Ke hua
Author_Institution
Coll. of Bus. Adm., Zhejiang Gongshang Univ., Hangzhou, China
Volume
2
fYear
2010
Firstpage
306
Lastpage
310
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.
Team learning is a driving force for the continuous development of enterprises, and it is becoming a hot topic in recent years. In this paper, we use the Multi-Team System Theory (MTS) to explore how multi-team learning from multi-dimensional, multi-view, and multi-objective in different levels. Meanwhile, we put forward a multi-team learning model based on the analysis of how knowledge flows in MTS. We found that, in order to improve the overall effectiveness of MTS learning, each component team must share their knowledge with others and eventually build a coherent knowledge system. The process of knowledge synergy can be realized through knowledge sharing, knowledge transfer and knowledge creation mechanisms.
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.
Team learning is a driving force for the continuous development of enterprises, and it is becoming a hot topic in recent years. In this paper, we use the Multi-Team System Theory (MTS) to explore how multi-team learning from multi-dimensional, multi-view, and multi-objective in different levels. Meanwhile, we put forward a multi-team learning model based on the analysis of how knowledge flows in MTS. We found that, in order to improve the overall effectiveness of MTS learning, each component team must share their knowledge with others and eventually build a coherent knowledge system. The process of knowledge synergy can be realized through knowledge sharing, knowledge transfer and knowledge creation mechanisms.
Keywords
corporate modelling; learning (artificial intelligence); multi-agent systems; sustainable development; team working; knowledge creation; knowledge flow; knowledge sharing; knowledge synergy; knowledge system; knowledge transfer; multiteam system theory; team learning; Lead; Component Team; Knowledge Transfer; Knowledge creation; Knowledge sharing; Multi-Team; Team Learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6931-4
Type
conf
DOI
10.1109/ICAMS.2010.5552930
Filename
5552930
Link To Document