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

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Abstract

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.

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Sardjono, W., Selviyanti, E., & Perdana, W. G. (2020). Evaluation model of knowledge management systems implementation using factor analysis and regresion analysis at the corporation. In Journal of Physics: Conference Series (Vol. 1538). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1538/1/012027

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