DocumentCode :
1820439
Title :
Knowledge Long Tail
Author :
Lin, I. ; Seidel, R.H.A. ; Howell, D. ; Walker, D.
Author_Institution :
Dept. of Mech. Eng., Univ. of Auckland, Auckland, New Zealand
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
1102
Lastpage :
1106
Abstract :
This paper proposes an approach to visualize the benefits of applying contemporary technology in explicit knowledge management processes. The “Knowledge Long Tail” is a novel way of categorizing individual and organizational knowledge, and of modeling knowledge in organizations in terms of its type and frequency of use. The concept is inspired by the market long tail phenomenon raised by Chris Anderson. Based on theoretical considerations, it is proposed that by using the three “long tail technology drivers” to integrate individual knowledge into an organizational knowledge management system, individual and organizational knowledge can be utilized in a more efficient and effective manner.
Keywords :
knowledge management; organisational aspects; Knowledge Long Tail; knowledge management process; long tail technology drivers; organizational knowledge management system; Driver circuits; Electronic publishing; Encyclopedias; Internet; Knowledge management; Organizations; Knowledge management; long tail;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2157-3611
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2010.5674183
Filename :
5674183
Link To Document :
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