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Research Article

Beyond Tenure: A Quantitative Study on Competency Drivers in Local Government Human Resources

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Abstract

This study examined whether demographic and human resource-related variables influence the competency ratings of employees. It was hypothesized that factors such as age, civil status, educational attainment, years of experience, attendance, salary, test results, learning and development activities, and performance ratings could predict competence. Using stepwise multiple regression analysis, five predictors were found to significantly influence competency ratings: educational attainment, years of experience, intelligence quotient, learning and development participation, and performance rating. Together, these variables accounted for over half of the variance in ratings of competence. The results highlight that competency is not limited to years of experience, as cognitive and developmental factors are significantly involved. The results imply that in human resource planning for the local government units targeted training, higher education support, and promoting competency-based assessments are required to enhance workforce ability and public service delivery.

Keywords:

Competency Ratings Employee Performance Human Resource Management Learning and Development Local Government Units

Article information

Journal

Journal of Arts, Humanities and Social Science

Volume (Issue)

2(2), (2025)

Pages

343-350

Published

27-08-2025

How to Cite

Dulnuan, C. D. L. (2025). Beyond Tenure: A Quantitative Study on Competency Drivers in Local Government Human Resources. Journal of Arts, Humanities and Social Science, 2(2), 343-350. https://doi.org/10.69739/jahss.v2i2.790

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