Evidence map›Paper›PMID 39872453›Full record

ArticleHeliyon2025

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

Md Abdul Hye Zebon, Abdus Sattar, Md Sazzadur Ahamed

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Md Abdul Hye ZebonDepartment of Software Engineering, Daffodil International University, Dhaka, Bangladesh.
Abdus SattarDepartment of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.
Md Sazzadur AhamedDepartment of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BangladeshCareer growth and opportunityJob satisfactionLeadershipPLS-SEMRecognitionRelationship with colleaguesSalary and financial benefitsUniversity teachersWorking environment

Identifiers

PMID39872453
PMCPMC11770486

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.