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Article
Publication date: 22 March 2022

Fadime Çınar, Hasim Çapar and Samet Mermerkaya

This meta-analysis aimed to examine health professionals' job satisfaction and organizational commitment.

Abstract

Purpose

This meta-analysis aimed to examine health professionals' job satisfaction and organizational commitment.

Design/methodology/approach

This research was conducted using the meta-analysis method, one of the quantitative research methods. A preliminary literature search was conducted to determine keywords over the internet access network. With screening, keywords such as “Organizational commitment,” “Organizational loyalty,” “Job satisfaction,” “job satisfaction,” “Healthcare worker,” “Organizational commitment,” “Organizational faith,” “job satisfaction,” “Job saturation” keywords in Turkish and English were determined. Nine full-text articles published in peer-reviewed journals between 2014–2020 from the electronic databases of Google Scholar, Web of Science, Scopus, Science Direct, EKUAL and Google Academic were included in the meta-analysis. The study's effect size and publication bias included in the meta-analysis were calculated using the CMA 3 (Comprehensive meta-analysis) program.

Findings

The total sample number of the studies included in the analysis is 7,218. According to the random effects model, the overall effect size between job satisfaction and organizational commitment was statistically significant, with a value of 0.544 (confidence interval [CI]; 0.445–0.629; p < 0.05). This effect size was found to be moderate, according to Cohen's classification.

Originality/value

As a result of this meta-analysis, it was determined that there is a mutual interaction between job satisfaction and organizational commitment based on the cause–effect relationship. The findings obtained determined that job satisfaction has more power to affect organizational commitment positively.

Details

Journal of Economic and Administrative Sciences, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1026-4116

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