Search results

Concerns over data-processing activities that may lead to privacy violations or harms have motivated the development of legal frameworks and standards. Further, software engineers are increasingly expected to develop and maintain privacy-aware systems that both comply with such frameworks and standards and meet reasonable expectations of privacy. This paper aims to facilitate reasoning about privacy compliance, from legal frameworks and standards, with a view to providing necessary technical assurances.

The authors show how the standard extension mechanisms of the UML meta-model might be used to specify and represent data-processing activities in a way that is amenable to privacy compliance checking and assurance.

The authors demonstrate the usefulness and applicability of the extension mechanisms in specifying key aspects of privacy principles as assumptions and requirements, as well as in providing criteria for the evaluation of these aspects to assess whether the model meets these requirements.

First, the authors show how key aspects of abstract privacy principles can be modelled using stereotypes and tagged values as privacy assumptions and requirements. Second, the authors show how compliance with these principles can be assured via constraints that establish rules for the evaluation of these requirements.

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.