An empirical study of exploring the predictors of university teachers’ job satisfaction in Bangladesh: A structural equation modeling approach

This study aims to investigate the factors influencing job satisfaction among university teachers, considering various complex constructs such as salary and financial benefits, career growth and opportunities, relationships with colleagues, recognition, working environment, and leadership. Utilizing...

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Main Authors: Md Abdul Hye Zebon, Abdus Sattar, Md Sazzadur Ahamed
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025001203
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author Md Abdul Hye Zebon
Abdus Sattar
Md Sazzadur Ahamed
author_facet Md Abdul Hye Zebon
Abdus Sattar
Md Sazzadur Ahamed
author_sort Md Abdul Hye Zebon
collection DOAJ
description This study aims to investigate the factors influencing job satisfaction among university teachers, considering various complex constructs such as salary and financial benefits, career growth and opportunities, relationships with colleagues, recognition, working environment, and leadership. Utilizing a quantitative cross-sectional research design, the present study was conducted in Bangladesh between August and December 2022. Encompassing 7 public universities and 12 private universities, the research purposively sampled 95 participants, adhering to a systematic and comprehensive approach to data collection. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The empirical findings of the study revealed that career growth and opportunities (β = 0.225, t = 2.023, p < 0.10), leadership (β = 0.262, t = 1.757, p < 0.10), and relationships with colleagues (β = 0.166, t = 1.519, p < 0.10) had a significant positive impact on university teachers' job satisfaction. On the other hand, salary and financial benefits (β = 0.082, t = 0.823, p > 0.10), recognition (β = 0.02, t = 0.208, p > 0.10), and working environment (β = 0.14, t = 1.057, p > 0.10) had a positive but less significant impact on job satisfaction among university teachers. The overall findings provide valuable insights that can assist policymakers and stakeholders in implementing synchronized strategies to enhance job satisfaction among university teachers, ultimately leading to improved university teachers’ job performance.
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spelling doaj-art-ee6a50e91315439c87e2b14f6c6e1dfe2025-02-02T05:28:04ZengElsevierHeliyon2405-84402025-01-01112e41740An empirical study of exploring the predictors of university teachers’ job satisfaction in Bangladesh: A structural equation modeling approachMd Abdul Hye Zebon0Abdus Sattar1Md Sazzadur Ahamed2Department of Software Engineering, Daffodil International University, Dhaka, Bangladesh; Corresponding author.Department of Computer Science and Engineering, Daffodil International University, Dhaka, BangladeshDepartment of Computer Science and Engineering, Daffodil International University, Dhaka, BangladeshThis study aims to investigate the factors influencing job satisfaction among university teachers, considering various complex constructs such as salary and financial benefits, career growth and opportunities, relationships with colleagues, recognition, working environment, and leadership. Utilizing a quantitative cross-sectional research design, the present study was conducted in Bangladesh between August and December 2022. Encompassing 7 public universities and 12 private universities, the research purposively sampled 95 participants, adhering to a systematic and comprehensive approach to data collection. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The empirical findings of the study revealed that career growth and opportunities (β = 0.225, t = 2.023, p < 0.10), leadership (β = 0.262, t = 1.757, p < 0.10), and relationships with colleagues (β = 0.166, t = 1.519, p < 0.10) had a significant positive impact on university teachers' job satisfaction. On the other hand, salary and financial benefits (β = 0.082, t = 0.823, p > 0.10), recognition (β = 0.02, t = 0.208, p > 0.10), and working environment (β = 0.14, t = 1.057, p > 0.10) had a positive but less significant impact on job satisfaction among university teachers. The overall findings provide valuable insights that can assist policymakers and stakeholders in implementing synchronized strategies to enhance job satisfaction among university teachers, ultimately leading to improved university teachers’ job performance.http://www.sciencedirect.com/science/article/pii/S2405844025001203Salary and financial benefitsCareer growth and opportunityWorking environmentRelationship with colleaguesLeadershipRecognition
spellingShingle Md Abdul Hye Zebon
Abdus Sattar
Md Sazzadur Ahamed
An empirical study of exploring the predictors of university teachers’ job satisfaction in Bangladesh: A structural equation modeling approach
Heliyon
Salary and financial benefits
Career growth and opportunity
Working environment
Relationship with colleagues
Leadership
Recognition
title An empirical study of exploring the predictors of university teachers’ job satisfaction in Bangladesh: A structural equation modeling approach
title_full An empirical study of exploring the predictors of university teachers’ job satisfaction in Bangladesh: A structural equation modeling approach
title_fullStr An empirical study of exploring the predictors of university teachers’ job satisfaction in Bangladesh: A structural equation modeling approach
title_full_unstemmed An empirical study of exploring the predictors of university teachers’ job satisfaction in Bangladesh: A structural equation modeling approach
title_short An empirical study of exploring the predictors of university teachers’ job satisfaction in Bangladesh: A structural equation modeling approach
title_sort empirical study of exploring the predictors of university teachers job satisfaction in bangladesh a structural equation modeling approach
topic Salary and financial benefits
Career growth and opportunity
Working environment
Relationship with colleagues
Leadership
Recognition
url http://www.sciencedirect.com/science/article/pii/S2405844025001203
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