The Implementation of Knowledge Management System (KMS) Evaluation Model in Improving Employee Performance
Main Article Content
Abstract
Employee performance plays a significant role in running a company, and it is important to make every effort to improve this virtue. Therefore, this study aims to assess the KMS evaluation model applied at PLN (State Electricity Company) and determine factors and indicators that improve employee performance. This is a survey study that obtained data through summative evaluation using a questionnaire. Furthermore, the collected data were quantitatively analyzed using descriptive and inferential statistics. The results showed that, (1) the People variable has a positive and significant effect on employee performance, which is evidenced by the T-count value of 3.207 and a significance of 0.0022. (2) Process variables have a positive and significant effect on performance, which is evidenced by the T-count value of 4.263 and a significance of 0.000. (3) Technology variables have a positive and significant effect on performance, which is evidenced by the T-count value of 4.506 and a significance of 0.000. (4) The indicators that improve performance at PT PLN (Persero) include the people variable, which consists of employee roles, communication, training, rewards for sharing knowledge, as well as aBility to access KMS. Furthermore, process variables consist of knowledge creation, storage, retention, sharing, utilization, and work accuracy. In addition, technology variables consist of KM Feature and content quality, as well as molarity barriers..
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
