The Influence of Workload, Education Skills, and Autonomy on Job Satisfaction Moderated by Digital Skills

The purpose of this study is to identify the effects of workload, education skills, and autonomy on job satisfaction, moderated by digital skills. This research is classified as quantitative research. The population of this study consists of employees at the Central Office of the Ministry of Marine Affairs and Fisheries. The sampling technique used in this study is purposive sampling, resulting in a sample size of 140 employees from the Central Office of the Ministry of Marine Affairs and Fisheries. The data analysis technique employed in this study uses Partial Least Squares (PLS). PLS is a Structural Equation Modeling (SEM) approach. The results show that: 1) Workload has a significant and positive effect on Job Satisfaction; 2) Educational Skill has a significant and positive effect on Job Satisfaction; 3) Autonomy has a significant and positive effect on Job Satisfaction; 4) Digital Skill cannot moderate the effect of Workload on Job Satisfaction; 5) Digital Skill cannot moderate the effect of Educational Skill on Job Satisfaction; and 6) Digital Skill cannot moderate the effect of Autonomy on Job Satisfaction.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
Primary Topic
Employee Performance and Management
Type
article
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article

The Influence of Workload, Education Skills, and Autonomy on Job Satisfaction Moderated by Digital Skills

SHILAP Revista de lepidopterología
Employee Performance and Management
article

The Influence of Workload, Education Skills, and Autonomy on Job Satisfaction Moderated by Digital Skills

article en

Abstract

The purpose of this study is to identify the effects of workload, education skills, and autonomy on job satisfaction, moderated by digital skills. This research is classified as quantitative research. The population of this study consists of employees at the Central Office of the Ministry of Marine Affairs and Fisheries. The sampling technique used in this study is purposive sampling, resulting in a sample size of 140 employees from the Central Office of the Ministry of Marine Affairs and Fisheries. The data analysis technique employed in this study uses Partial Least Squares (PLS). PLS is a Structural Equation Modeling (SEM) approach. The results show that: 1) Workload has a significant and positive effect on Job Satisfaction; 2) Educational Skill has a significant and positive effect on Job Satisfaction; 3) Autonomy has a significant and positive effect on Job Satisfaction; 4) Digital Skill cannot moderate the effect of Workload on Job Satisfaction; 5) Digital Skill cannot moderate the effect of Educational Skill on Job Satisfaction; and 6) Digital Skill cannot moderate the effect of Autonomy on Job Satisfaction.

SHILAP Revista de lepidopterología
Universitas Djuanda (ID)
Openalex Percentile: Top 26%
Employee Performance and Management
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