• DocumentCode
    3459585
  • Title

    The Role of Fit on Business Performance: A Profile Deviation Analysis

  • Author

    Chen, Yue-Yang ; Huang, Hui-Ling ; Sung, Shih-Fu ; Huang, Wei-Neng

  • Author_Institution
    Dept. of Bus. Adm., I-Shou Univ., Dashu, Taiwan
  • fYear
    2009
  • fDate
    June 30 2009-July 2 2009
  • Firstpage
    235
  • Lastpage
    239
  • Abstract
    Knowledge management (KM) has been regarded as a popular research topic for the industry and academicians in these years. Some scholars mentioned that human resource management plays an important role in implementing knowledge management. Furthermore, the importance of information technology (IT) as a tool to facilitate effective knowledge management (KM) activities has become apparent. Consequently, this present research assumes that there is something unique in effective organizations been created, in other words, in a certain KM strategy various patterns of HRM strategy, and IT strategy must be aligned for achieving organizational outcome. Empirical data for hypothesis testing is collected from top-ranked companies in Taiwan; yielding 161 valid samples. Performance implications of fit are examined using profile deviation approach. The findings show that the holistic perspective of fit as profile deviation demonstrates a significant impact on business performance.
  • Keywords
    business data processing; human resource management; knowledge management; HRM strategy; business performance; fit concept; human resource management; information technology; knowledge management; profile deviation analysis; Conference management; Human resource management; Information analysis; Information technology; Knowledge management; Mediation; Performance analysis; Resource management; Technology management; Testing; HRM strategy; IT strategy; KM strategy; fit as profile deviation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Trends in Information and Service Science, 2009. NISS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3687-3
  • Type

    conf

  • DOI
    10.1109/NISS.2009.68
  • Filename
    5260657