The effects of healthcare workers’ technostress and change fatigue levels on their turnover intentions

Abstract

This study aims to examine the effects of technostress and change fatigue levels on turnover intention among healthcare workers. The widespread use of digital technologies in healthcare has increased stress factors such as information overload, uncertainty, and constant connectivity. In this context, the predictive effects of the subdimensions of technostress (techno-overload, techno-invasion, and techno-uncertainty) and change fatigue on turnover intention were analysed. The research was conducted using a cross-sectional survey design with 162 healthcare workers employed at Akyazi State Hospital. Data were collected through a questionnaire, and statistical analyses, including correlation, multiple regression, and simple regression, were performed. According to the findings, techno-overload has a positive effect, while techno-invasion and techno-uncertainty have negative and statistically significant effects on turnover intention. The explanatory power of the model was 18.7%. Furthermore, a positive and significant relationship was found between change fatigue and turnover intention, with an explanatory power of 13.4%. In conclusion, technological stressors and ongoing organizational changes influence the turnover intentions of healthcare workers. Therefore, it is recommended that training and support programs be implemented to facilitate employees’ adaptation to digital systems and to manage change processes more effectively.