This study seeks to evaluate how motivation, work environment, and job training affect employee performance. The study involved a sample of 106 employees, selected through a simple random sampling technique to ensure representative results. The analysis was conducted using Structural Equation Modeling with Partial Least Squares (SEM-PLS), a method that is well-suited to handle complex models and provides insight into the relationships between variables. The results revealed that motivation has a significant positive impact on employee performance. Highly motivated employees tend to perform better in their roles. In addition, the work environment plays a significant role in enhancing employee performance; a supportive and conducive work environment contributes to higher productivity and job satisfaction. Furthermore, job training has also been shown to have a positive impact on employee performance. Well-designed training programs that are relevant to the employee’s role help improve their skills and knowledge, which in turn improves employee performance.
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