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Work-life balance, organisational commitment, and healthcare worker productivity

Dr. Yamoah, Emmanuel Erastus
Vice Dean, School of Business
+233246726459
eeyamoah@uew.edu.gh

Authors
Yamoah, E. E.
Publication Year
2025
Article Title
Work-life balance, organisational commitment, and healthcare worker productivity
Journal
Management and Economics Review
Volume
10
Issue Number
1
Page Numbers
133-146
ISSN
2501-885X
Abstract

This study investigates the relationships between work-life balance, employee productivity,
and organisational commitment among healthcare workers at a leading healthcare facility in
the La Nkwantanang Madina Municipality, Ghana. The study adopted a cross-sectional
survey design, and the participants comprised 137 employees. Multiple regression
approaches, mediation, and moderation analyses were employed to analyse the data. The
result so agrees with the hypotheses predicting a positive correlation between work-life
balance and productivity (r = 0.48, F <0.001) and organisational commitment (r = 0.55, F
<0.001). The mediation analysis results indicated that organisational commitment fully
mediates the relationship between work-life balance and productivity (indirect effect β = 0.22,
p < 0.001), more specifically, employees with higher levels of organisational commitment
amplify the positive effects of work-life balance on productivity. In addition, the main analysis
indicated that work-life balance significantly and positively predicted productivity; however,
this relationship was moderated by gender, with female workers being more affected by work-
life balance than their male counterparts (β = 0.30, p < 0.001). Through the understanding of
the results of the study, gender-sensitive work-life balance policies and organisational
commitment to increase efficiency are highlighted. As such, future research should further
investigate the subsequent changes in work-life balance interventions and other mediators
regarding their relations, including job satisfaction and work stress. Limitations include the
cross-sectional design, single-site focus, and reliance on self-reported data.

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