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Factors influencing turnover intention among healthcare employees during the COVID-19 pandemic in the private hospitals of Bahrain
Bottom Line ; 2023.
Article in English | Web of Science | ID: covidwho-2321498
ABSTRACT
PurposeThis study aims to examine the relationship between polychronicity, job autonomy, perceived workload, work-family conflict and high work demand on the health-care employee turnover intention during the COVID-19 pandemic. Design/methodology/approachThe authors conducted quantitative research in private hospitals using a self-administered questionnaire, and 264 respondents participated. The authors also used an analysis of moment structures to determine the relationship between independent and moderating variables. FindingsThe results show a significant positive relationship between polychronicity, job autonomy, perceived workload, work-family conflict and high work demand, affecting turnover intention. This study also found the moderating effect of high work demand on work-family conflict and turnover intention. Research limitations/implicationsThis research was limited to hospitals in Bahrain during the COVID-19 pandemic. Nevertheless, the findings highlight the factors associated with health-care employee turnover intention and only five factors were identified. Practical implicationsThis study enhances the theoretical and practical effects of turnover intention. The results provide a competitive benchmark for hospital managers, administrators and governing bodies of employee retention. Social implicationsIt advances economics and management theory by enhancing the understanding of health-care employees' turnover intention in Bahrain. It serves as a basis for future large-scale studies to test or refine existing theories. Originality/valueTo the best of the authors' knowledge, this study is the first to adopt extrinsic variables in self-determination theory to measure the turnover intention of health-care employees. However, using resources in a crisis can be applied to any disaster.
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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Observational study Language: English Journal: Bottom Line Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Observational study Language: English Journal: Bottom Line Year: 2023 Document Type: Article