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The lack of progress toward equity in the U.S. is evident across many spheres of society, academia notwithstanding. Women academicians, in particular, face many barriers that prevent them from advancing–including a continued unsupportive climate, competing work and family demands, and interpersonal discrimination. This paper reflects on a collaborative research effort in the United States to enhance allyship for women in academia.

The authors partnered with a major university to hold ally training for department chairs during a university-wide department chair meeting. The authors developed a methodology for creating and implementing training content using a focus-group-based training needs analysis and a diversity science grounded approach to allyship training. The authors followed this up with surveys to assess impact.

Participants indicated that they learned from the training, but participation in follow-up data collection was limited, hampering the ability to conduct rigorous quantitative analyses around intervention impact.

Although the sample size may have been too limited to detect effects, the current study provides an approach that furthers the way in which researchers and practitioners can better assess the impact of allyship to women academicians.

Published research on allies is very limited. The current research examines allies in the context of helping women in academia.

Despite widespread recognition of the importance of first-line supervisors in support of diversity, limited intervention designs are available. The authors add to the extant literature on diversity interventions, while highlighting barriers to rigorous intervention evaluation.

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.