DocumentCode
127181
Title
Research on the structure and measurement of Virtual Enterprise knowledge network capability
Author
Kang Hui-wen ; Chang Yu ; Ye Jing-fu ; Xia Chun-yu
Author_Institution
Sch. of Manage., Northwestern Polytech. Univ., Xi´an, China
fYear
2014
fDate
17-19 Aug. 2014
Firstpage
1047
Lastpage
1053
Abstract
Combining with the characteristics of Virtual Enterprises, this paper is researched on the knowledge network capability (KNC) of the Virtual Enterprises. By analysing the knowledge network facing with four perspectives challenges, we divided the knowledge network capability into four dimensions, including knowledge-network planning capability, knowledge-network building capability, knowledge-network running capability and knowledge-network reconstruction capability. We build a theoretical framework, forming a dynamic system, which can promote the innovation of Virtual Enterprise. Then we used empirical research to confirm the structure. The structure consists of 4dimensions, 8 sub-dimensions and 25 items. This paper shows that the composition of the Virtual Enterprise knowledge network capacity help Virtual Enterprises get better management. The system raised by this paper can promote the innovation of Virtual Enterprise to adapt to the market better. Then we proposed several strategies of improving knowledge network capacity to help Virtual enterprises get better management.
Keywords
knowledge management; virtual enterprises; KNC; knowledge network capability; knowledge-network building capability; knowledge-network planning capability; knowledge-network reconstruction capability; knowledge-network running capability; virtual enterprise; Capacity planning; Companies; Fitting; Knowledge engineering; Planning; Reliability; Virtual enterprises; Virtual Enterprise; knowledge management; knowledge network; knowledge network capability;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science & Engineering (ICMSE), 2014 International Conference on
Conference_Location
Helsinki
Print_ISBN
978-1-4799-5375-2
Type
conf
DOI
10.1109/ICMSE.2014.6930344
Filename
6930344
Link To Document