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This paper explores the literature on teacher leadership and servant leadership; identifying connections and similarities between the two. Using the ten characteristics of servant leaders developed by Spears (2010), the characteristics and behaviours of teacher leaders and servant leaders are compared. Through this exploration a number of implications are reviewed, which in turn lead to recommendations going forward. These include how servant leadership can strengthen and inform teacher leadership by its inclusion in teacher leadership educational programs thus pointing to the possibility of a synergistic partnership.

There is a high prevalence of trauma among mental health clients, with risk of re-traumatisation when admitted to a Department of Psychiatry (DoP) (Kimberg and Wheeler, 2019). The COVID-19 pandemic poses challenges to therapy service operations in DoPs, with infection control measures impacting opportunities for therapeutic and social engagement. A trauma-informed care (TIC) lens was used when adapting services in Tallaght University Hospital DoP in response to COVID-19.

An interdisciplinary approach was taken to adapt therapy services during early stages of the pandemic. Changes were informed by TIC principles to minimise re-traumatisation while maintaining high-quality services. Changes included expansion of the therapeutic activity programme, changes to groups, addition of COVID-19-specific groups and increased awareness of communication support needs.

The early response to the pandemic, combined with the focus on TIC, resulted in continued, effective therapy services and positive client feedback. With clients’ involvement in their care enhanced, Individual Care Planning goals were achieved through group interventions.

The COVID-19 pandemic brought unprecedented changes to mental health services. This paper highlights a response to unique challenges brought by COVID-19 on a DoP.

This study aims to propose and test a model of educational quality in marketing-management by incorporating resource-capability variables that are linked to learning outcomes for students and the competitive positioning of universities.

Drawing on the resource-dependence theory, this study develops a comprehensive model for measuring educational quality. A sample comprising Spanish university teachers has been used to test the hypothesised relationships by using a two-stage least squares regression analysis while controlling for the possible effect of the public/private nature of the university.

The results validate the model and show that educational capabilities are reliable variables for predicting the educational quality of marketing-management programmes at Spanish universities.

Similar to all educational research studies, certain problems have been acknowledged with respect to the data and the theoretical constructs that are used in the study. Future studies can replicate this study’s model by using more direct objective measures of the theoretical constructs and extend the study to other countries with different educational contexts.

The results provide guidance to marketing teachers at a university in designing high-quality marketing-management educational programmes and in developing self-diagnostic tools that can determine a university’s likelihood of competitive success.

This study is one of the few studies to apply the resource-dependence theory to the analysis of the variables associated with the quality of marketing-management education. In doing so, the study presents original multiitem scales to improve the measurement of model constructs.

This study aims to uncover the ongoing discourse on generative artificial intelligence (AI), literacy and governance while providing nuanced perspectives on stakeholder involvement and recommendations for the effective regulation and utilization of generative AI technologies.

This study chooses generative AI-related online news coverage on BBC News as the case study. Oriented by a case study methodology, this study conducts a qualitative content analysis on 78 news articles related to generative AI.

By analyzing 78 news articles, generative AI is found to be portrayed in the news in the following ways: Generative AI is primarily used in generating texts, images, audio and videos. Generative AI can have both positive and negative impacts on people’s everyday lives. People’s generative AI literacy includes understanding, using and evaluating generative AI and combating generative AI harms. Various stakeholders, encompassing government authorities, industry, organizations/institutions, academia and affected individuals/users, engage in the practice of AI governance concerning generative AI.

Based on the findings, this study constructs a framework of competencies and considerations constituting generative AI literacy. Furthermore, this study underscores the role played by government authorities as coordinators who conduct co-governance with other stakeholders regarding generative AI literacy and who possess the legislative authority to offer robust legal safeguards to protect against harm.