• DocumentCode
    1822129
  • Title

    Missing link between knowledge management and organizational performance—Empirical evidence in Taiwan

  • Author

    Wu, C.C. ; Liao, S.H. ; Chang, W.J. ; Widowati, P. A Retno ; Hu, D.C.

  • Author_Institution
    Dept. of Bus. Manage., Tatung Univ., Taipei, Taiwan
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    1052
  • Lastpage
    1056
  • Abstract
    Many study concern that knowledge management (KM) and organizational performance are essential of the success in business. And there are many different results in literatures which declare KM affects organizational performance positively and negatively. We believe that there are still some confusing relations between KM and organizational performance. Accordingly, we propose some hypotheses to verify relationships among them. Base on a sample of Taiwan knowledge-intensive firms engaged in manufacturing, and financial sectors, data are collected using a mail survey, and hypotheses are tested using structural equation modeling. This paper finds organizational learning (OL) as a coordinating mechanism, like black box. Empirical evidence also supports the perspective that KM affects organizational performance through OL. This paper is one of the empirical supports for the role of OL as a mediator between KM and organizational performance. Therefore, the positioning of OL as a mediator is also an important contribution to our thinking.
  • Keywords
    finance; knowledge management; manufacturing industries; organisational aspects; Taiwan knowledge-intensive firms; black box; business; financial sectors; knowledge management; manufacturing; organizational learning; organizational performance; structural equation modeling; Correlation; Equations; Knowledge management; Mathematical model; Organizations; Testing; Knowledge management; Organizational learning; Organizational performance; Structural equation modeling;
  • 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.2010.5674243
  • Filename
    5674243