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This study examined the influence of social media use on graduateness and the employability of exit students in South Africa.

The study used quantitative and descriptive research designs to test the proposed hypotheses. An online survey was used to collect the data from a study sample. A sample of 411 respondents was received, with structural equation modelling (SEM) being used to assess the model fit.

The study found that the direct effect of social media use on graduateness skills is significant. Secondly, the direct effect of graduateness skills on perceived employability is also significant. The results also showed existence of support for the mediation of graduateness skills on the relationship between social media use and perceived employability.

The study provides empirical evidence to the proposed model and infers the potential role of social media in addressing issues related to graduateness and the employability of exit students.

In addressing the challenge of unemployment, the use of social media can potentially aid in matters of skills acquisition.

The results demonstrate how technology through the use of social media potentially fits within enhancing graduateness and employability skills.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.