DocumentCode
2925283
Title
Using Computer-Based Survey to Gather Knowledge Sharing Relationship Data
Author
Zhou MingJie ; Zhang Zheng
Author_Institution
Inst. of Psychol., Chinese Acad. of Sci., Beijing, China
fYear
2009
fDate
24-26 Nov. 2009
Firstpage
1606
Lastpage
1609
Abstract
This paper focuses on the information technology used in specific data collection. As to the knowledge sharing, which is the important procedure of organizational knowledge management, previous researches regarded it as attribute data, but this paper has pointed out that it should be gathered as relationship data. Knowledge sharing is the interaction between subjects, the study on it should be directed to the relationship they are building. Computer-based survey is a better way to gather relationship data than traditional paper-and-pencil survey. Although it has limitations, it has the advantages over other methods such as easy anchoring, high adaptivity, Good security, convenient networking. Then this paper takes an 8-person team as an example. The design of computer-base survey system ensures that each member of the team can evaluate his/her knowledge sharing behavior with every specific person. Also, the computer-based survey can form the social network through the backstage data gathered.
Keywords
business data processing; knowledge management; organisational aspects; social networking (online); computer-based survey system; information technology; knowledge sharing relationship data; organizational knowledge management; paper-and-pencil survey; social network; specific data collection; Books; Buildings; Computer networks; Data security; Information technology; Knowledge management; Knowledge transfer; Psychology; Social network services; Writing; Computer-based Survey; Knowledge Sharing; Relationship Data;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-5244-6
Electronic_ISBN
978-0-7695-3896-9
Type
conf
DOI
10.1109/ICCIT.2009.282
Filename
5369879
Link To Document