Strategic Role of Job Embeddedness in Reducing Turnover Intention: A PLS-SEM Model of Nurses in Urban Ghanaian Healthcare Ecosystems
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This study presents a quantitative analysis of the strategic role of job embeddedness on turnover intention among nurses in selected healthcare centres in urban Accra, Ghana. Focusing on both on-the-job and off-the-job embeddedness, the study aims to develop a predictive model as a complement to evidence-based policies on human resources to help improve the existing retention of nurses in the healthcare sector. A sample of 276 nurses was randomly selected to participate in the study. Structured questionnaires were administered through digital formats to enable selected respondents to provide data for analyses. The authors employed descriptive statistics in SPSS Version 28 to analyse the data, while Structural Equation Modelling with SmartPLS 3.0 was used to assess the relationships among the variables. By adopting an ecosystem and strategic perspective, this paper considers the role of on-the-job embeddedness as a vital stability mechanism in healthcare systems. Conversely, off-the-job embeddedness emerged as a comparatively weaker influence. The results underscore the need to improve organisational embeddedness as a strategic approach to curtail turnover and enhance healthcare service within healthcare facilities in Ghana.