• 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