<![CDATA[This study examines the influence of performance, competence, and educational level on employee promotion at the Central Bureau of Statistics (BPS) of Limapuluh Kota Regency. The research is motivated by the suboptimal implementation of promotion systems despite the availability of qualified employees, indicating the need to evaluate key determinants of promotion decisions. The study applies Structural Equation Modeling–Partial Least Squares (SEM-PLS) using SmartPLS software. The population and sample consist of all 32 employees of BPS Limapuluh Kota. The independent variables include performance (11 indicators), competence (9 indicators), and educational level (3 indicators), while the dependent variable is employee promotion. The validity and reliability tests were conducted using the PLS Algorithm. The results indicate that only 8 out of 23 indicators met the outer loading threshold of ≥ 0.70, particularly those related to collaboration, understanding of vision and mission, regulations, SOPs, and technological mastery. All constructs were found to be reliable, as indicated by Composite Reliability and Cronbach’s Alpha values exceeding 0.70. Hypothesis testing using bootstrapping shows that only one variable has a significant positive effect on employee promotion. The findings highlight that collaboration, core competencies, technological skills, and training participation are crucial factors influencing promotion decisions. Therefore, strengthening training programs and teamwork is recommended to enhance employee promotion opportunities.]]>
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