Evaluation model of knowledge management systems implementation using factor analysis and regresion analysis at the corporation

The ability to manage knowledge is becoming increasingly important in today's knowledge economy, especially for companies. In order to obtain the effectiveness of the process of sharing knowledge within the company, it is necessary to evaluate the implementation of the knowledge management syst...

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Bibliographic Details
Published in:Journal of physics. Conference series 2020-05, Vol.1538 (1), p.12027
Main Authors: Sardjono, W, Selviyanti, E, Perdana, W G
Format: Article
Language:English
Subjects:
Company structure
Factor analysis
Human performance
Human resources
Information management
Information transfer
Knowledge management
Management systems
Regression analysis
Regression models
System effectiveness
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Summary:The ability to manage knowledge is becoming increasingly important in today's knowledge economy, especially for companies. In order to obtain the effectiveness of the process of sharing knowledge within the company, it is necessary to evaluate the implementation of the knowledge management system that is currently running. The purpose of knowledge management is to change the paradigm of existing knowledge in employees into knowledge that can explicitly become corporate or organizational knowledge, so that the company can be used to improve employee performance because there are sufficiently managed references or knowledge or experience or expertise that has been collected and disseminated by previous employee.The data obtained were then analyzed using the factor analysis method, and the results that five factors can affect employee performance through knowledge management systems implementation, these are the factors: human resources ability, effective information, knowledge management systems, Quality for Users, accurate information transfer, and adequate IT Infrastructure. Furthermore, from these five factors by using linear regression analysis a mathematical model can be built which can be simulated to illustrate the results of the evaluation.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1538/1/012027