• DocumentCode
    3542652
  • Title

    Identifying Critical Success Factors for knowledge management implementation in organization: A survey paper

  • Author

    Anggia, Pinkie ; Sensuse, Dana I. ; Sucahyo, Yudho G. ; Rohajawati, Siti

  • Author_Institution
    Fac. of Comput. Sci., E-Gov. Lab., Univ. of Indonesia, Depok, Indonesia
  • fYear
    2013
  • fDate
    28-29 Sept. 2013
  • Firstpage
    83
  • Lastpage
    88
  • Abstract
    Knowledge management in organizations lately has become strong focus to improve enterprise´s quality. Knowledge management is relatively new among practitioners and researchers on how it can be designed and implemented in organizations. Unfortunately, several past researches founded the failed implementation of knowledge management in organizations. Hence, it is essential to figure out some success factors that are appropriate to support an implementation of knowledge management. This research aims to elaborate Critical Success Factors (CSF) which influences Knowledge Management Implementation in Organization using a survey method. Afterwards, research model will be figured and all factors will be explained clearly as an outcome taken from this study. This study constructs Partial Least Squares Structural Equation Modeling (PLS-SEM) model with several variables. The authors spread questionnaire to some physicians in teaching hospital at Rumah Sakit Dr. Cipto Mangunkusumo (RSCM), Jakarta. The result shows that several success factors for knowledge management implementation are education and training, human resource management, top management support, and organizational culture.
  • Keywords
    hospitals; knowledge management; least squares approximations; organisational aspects; (CSF; Jakarta; PLS-SEM model; RSCM hospital; Rumah Sakit Dr. Cipto Mangunkusumo hospital; critical success factor identification; education-and-training; enterprise quality improvement; human resource management; knowledge management implementation; organizational culture; partial least squares structural equation modeling model; research model; survey method; top-management support; Analytical models; Information technology; Knowledge management; Organizations; Predictive models; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Science and Information Systems (ICACSIS), 2013 International Conference on
  • Conference_Location
    Bali
  • Type

    conf

  • DOI
    10.1109/ICACSIS.2013.6761556
  • Filename
    6761556