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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Understanding Job Satisfaction in the Industrial Sector: Insights from Penang's Industrial Employees

Authors: Rushindra Raj1*, Forbis Ahamed2;

Understanding Job Satisfaction in the Industrial Sector: Insights from Penang's Industrial Employees

Abstract

Abstract This study analyzes the factors contributing to job satisfaction among industrial employees in Penang, focusing on work-life balance, compensation and benefits, job security, career advancement opportunities, and job autonomy. Feedback from 300 employees was collected using structured questionnaires. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the relationships between independent variables and job satisfaction were tested. Work-life balance significantly influenced job satisfaction (p=0.036). Job autonomy, compensation and benefits, job security, and career development opportunities were significant factors in total variance explained by the job satisfaction model. Non-financial aspects of work-life balance, such as the work environment, were more significant in determining job satisfaction. This study contributes to the literature by examining job satisfaction in Penang’s manufacturing industries, portraying a unique perspective from Malaysia. In this sector, work-life balance emerged as a primary predictor of job satisfaction, surpassing compensation and job security, particularly among low- and middle-income households—a trend observed in OECD countries. These findings pave the way for industrial sectors to invest in work-life balance policies to enhance job satisfaction and retention while providing flexible schedules and wellness programs. Keywords: Employee Well-being, Employee Retention, Industrial Employees, Job Satisfaction, Work-Life Balance.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green