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
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