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Research Article Open access CC BY 4.0

Analysis of Work Values, Engagement and Workload as Predictors of Employee Job Satisfaction: Basis for a Staff Development Program in AMYA Polytechnic College, Inc

Jessfer Aljun C. Saquilon, Rodel Jun Q. Hernandez, Marleonie M. Bauyot

Asian Journal of Education and Social Studies · pp. 1077–1088 · Published 28 Dec 2025

10.9734/ajess/2025/v51i122749

Abstract

This quantitative study investigates the factors influencing Employee Job Satisfaction among full-time teaching and non-teaching personnel at AMYA Polytechnic College, serving as an empirical basis for a proposed staff development program. Utilizing total enumeration sampling of the employee population (N=56), the study employed an integrated theoretical framework based on the Job Characteristics Model and Value Congruence Theory, with data analyzed via multiple regression and non-parametric tests. Reliability was established across all scales (Job Satisfaction alpha = 0.960). Key findings reveal that Work Values is the strongest positive predictor of Job Satisfaction (Estimate = 0.883, p < 0.001), emphasizing the crucial role of Person-Organization Fit. Conversely, Workload was identified as a significant negative predictor (Estimate = -0.401, p = 0.042), underscoring the impact of administrative strain. Work Engagement was not found to be a significant predictor (p = 0.130). Furthermore, demographic analyses confirmed no statistically significant differences in satisfaction across gender, years of service, generational cohort, or educational attainment. Based on these results, a Staff Development Program is proposed focusing on two strategic areas: enhancing Culture and Value Congruence through structured workshops and implementing Workload Management initiatives to ensure sustainable employee well-being and institutional effectiveness.

Workload management job satisfaction work values engagement staff development program

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