Job Satisfaction, Compensation, and Motivation as Drivers of Employee Loyalty in a Timor Leste Ministry

2026-07-27
Published
201-211
Pages
OPEN
Access
IA
Imbrolia De Araújo Dos Reis Amorin
Master of Management Program, Faculty of Economics and Business, Universitas Dr. Soetomo, Surabaya, Indonesia
BP
Bambang Raditya Purnomo
Master of Management Program, Faculty of Economics and Business, Universitas Dr. Soetomo, Surabaya, Indonesia
Abstract

Purpose: This study examines the direct effects of job satisfaction, compensation, and motivation on employee loyalty at the Coordinating Ministry for Economic Affairs of Timor Leste, in response to public sector challenges related to employee retention, career sustainability, compensation fairness, and institutional commitment. 
Research Methodology: A quantitative explanatory and cross sectional design was applied using a census of 35 employees. Data were collected through a structured five point Likert scale questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS SEM) in SmartPLS. 
Results: The measurement model showed adequate reliability and convergent validity. Job satisfaction (β=0.702, p=0.023) and compensation (β=0.543, p=0.011) have significant positive effects on employee loyalty, whereas motivation has a positive but nonsignificant effect (β=0.027, p=0.665). The three constructs jointly explain 61.1% of the variance in loyalty. 
Conclusions: Employee loyalty in the ministry is shaped more strongly by the quality of work experience and the perceived fairness of rewards than by general motivational conditions. 
Limitations: The study relies on a small census of one ministry, a cross sectional design, and self reported data. 
Contributions: The study explains loyalty as an outcome of satisfaction and compensation in a small ministerial setting and offers guidance on career clarity, fair rewards, supervisor support, and targeted motivation programs.

Compensation Employee Loyalty Job Satisfaction Motivation Public Sector
Downloads
View PDF PDF · Open Access
Statistics