Do perceived supervisor and co-worker support mitigates work-family conflict among nurses in Bangladesh? The moderating effect of technostress

Published: 24 July 2023| Version 1 | DOI: 10.17632/2bsdvssnvy.1


Nowadays, striking a work-home balance is important in most professions, and the nursing profession is no exception. In Bangladesh, nurses experience a significant imbalance between their professional and personal lives due to issues like a heavy workload, a lack of staff, a high turnover rate, an unfavorable work environment, poor management practices, and a lack of organizational resources. For that reason, this study aims to understand how to mitigate the high work-family conflict among nurses in the healthcare sector in Bangladesh. A cross-sectional survey research design was used in this study. Participants were selected by using the simple random sampling method. Data were collected from 386 nurses in five selected hospitals in Bangladesh. The results revealed that perceived supervisor and co-worker support has a significant negative effect on work-family conflict. This study also demonstrated the moderating effect of technostress on the association between perceived supervisor support and work-family conflict. However, conservation of resources theory did not support the moderating effect of technostress on the relationship between perceived co-worker support and work-family conflict. The findings of this study have expanded the literature on work-family conflict in the nursing profession with the conservation of resources variables: resource loss and resource gain. Practically, hospital managers should highlight the long-term benefits of health information technology to care providers by demonstrating how it is valuable to their careers and keeps patients healthy and safe. This study proposed to investigate and contrast the perspectives of other healthcare professionals, including support staff, physicians, and management. Future studies should also emphasize longitudinal research designs that incorporate cause-and-effect relationships to achieve better results.



Quantitative Design of Research