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Autistic individuals are at increased risk of trauma exposure and post-traumatic stress disorder (PTSD). Diagnostic overshadowing, however, often results in PTSD symptoms being mislabelled as autistic traits. This study aims to develop professional consensus on the identification and assessment of co-occurring PTSD in autistic adults.

An online modified Delphi design was used to gather professionals’ perspectives on key aspects of the identification and assessment of PTSD in autistic adults. Data were gathered qualitatively in Round 1 and then synthesised using content analysis into a list of statements that were rated in Round 2. Statements reaching 60–79% consensus and additional suggestions were sent out for rating in Round 3. Consensus for the final statement list was set at 80% agreement.

Overall, 108 statements reached consensus. These form the basis of professional-informed recommendations to facilitate the identification and assessment of PTSD symptoms in autistic adults.

The final Delphi statements provide a framework to assist with the assessment and recognition of traumatic stress reactions in autistic adults presenting to mental health, diagnostic or social services.

To the best of the authors’ knowledge, this is the first study to explore the presentation and identification of PTSD in autistic adults (with and without intellectual disability), using a bottom-up approach informed by professional consensus.

In 2022, the Baltimore professional development school (PDS) partner schools, John Ruhruh Elementary/Middle School (JREMS) and Notre Dame of Maryland University (NDMU) received funds through a Maryland Educational Emergency Revitalization (MEER) grant to determine (a) to what extent additional resources and professional development would increase JREMS teachers’ efficacy in technology integration and (b) to what extent NDMU professional development in the form of workshops and self-paced computer science modules would result in greater use of technology in the JREMS K-8 classrooms. Results indicated a statistically significant improvement in both teacher comfort with technology and integrated use of technology in instruction.

Survey data were collected on teacher-stated comfort with technology before and after grant implementation. Teachers’ use of technology was also measured by unannounced classroom visits by administration before and after the grant implementation and through artifacts teachers submitted during NDMU professional development modules.

Results showing significant increases in self-efficacy with technology along with teacher integration of technology exemplify the benefits of a PDS partnership.

This initiative was original in its approach to teacher development by replacing required teacher professional development with an invitation to participate and an incentive for participation (a personal MacBook) that met the stated needs of teachers. Teacher motivation was strong because teammates in a strong PDS partnership provided the necessary supports to induce changes in teacher self-efficacy.

Highly developed and agile learners who can clearly convey and call on their skills are sought in all walks of life. Diverse demand for these capacities has called attention to how the skills and knowledge gained during doctoral study can be conveyed, translated and leveraged in non-academic settings; however, the complex learning reality underneath doctoral development is challenging to convey.

The data set for this particular analysis was obtained from 245 in-depth telephone interviews with PhD candidates collected prior to COVID-19. Candidates were asked about learning processes, challenges and changes, and both the questions and thematic analysis were guided by theories of doctoral development and transformational learning.

For many participants, learning and development were not familiar topics, while a small proportion deflected questions about learning altogether. One fifth of participants presented rich and lucid accounts of learning in which cognisance of complexity, metacognitive processes and transformational experiences were embedded and multiple avenues of development were in evidence. They were well-placed to convey the complexion of doctoral development. Candidates more deeply engaged in learning also commented more about changes they noticed in themselves. The most identified avenue of development was in understanding and approach to knowledge.

Candidate communication about learning and development is an under-explored dimension of doctoral experience and skill that is relevant to advancing knowledge about doctoral development and illuminating graduate potential both within and outside academe. This must constitute a key element of the re-vitalisation of the doctorate post-pandemic. The salience of framing transferable skills within a learning development perspective is discussed.

The transtheoretical model (TTM) has been applied to varying areas of physical health, e.g. diabetes. However, research into its applicability to psychotherapy is mixed. The TTM is applied through the University of Rhode Island Change Assessment (URICA). Investigating the utility of the URICA is needed to improve patient care and outcomes. This study aims to assess whether the URICA scores relate to patient outcomes; patient attendance; practitioner ratings of patient readiness, appropriateness, insight, motivation and potential for improvement; and to explore practitioner’s perspectives on the URICA.

Correlational methods were used to assess the relationship between the URICA and therapeutic outcome, attendance and practitioner-rated areas. Content analysis was used to analyse practitioner qualitative data.

The URICA did not correlate with either therapeutic outcome or attendance. A significant negative correlation was found between the URICA and practitioner-rated appropriateness of the referral. This means practitioners perceived individuals with lower URICA scores to be a more appropriate referral, despite the score indicating a reduced readiness to change. Qualitative categories included positive views, negative views, ambivalence and changes to measure and process. To conclude, the URICA does not explain a patient’s outcome or attendance. The URICA may not be appropriate to use in its current format in mental health services; therefore, assessing the TTM verbally may be more helpful.

This study provides research into suitability of using the URICA to assess the TTM and its applicability to attendance and outcome in psychological therapies.

The article considers the utility of a pluralist perspective in the context of current debates around UK corporate governance reform. Oxford School pluralism advanced both a description of how industrial relations (IR) operated in practice plus a prescription for how it should operate. Whilst economic conditions are different today, a pluralist framing provides not only a useful way of understanding interests in firm governance (description) but also a solid grounding for a pragmatic reform agenda (prescription).

Drawing from key texts in the field, the article considers core concepts within pluralist discourse and discusses their relevance to contemporary policy debates.

The article provides a short outline of recent economic and political developments and considers how a pluralist framing helps explain firm-level interests, challenging the dominant narrative of shareholder primacy. It then asks what policy interventions might flow from this analysis of capital and labour investments, and how feasible they are in the current UK context. This allows a discussion of levels of analysis (evident in materialist theories such as “radical pluralism” and the “disconnected capitalism thesis”). Finally, it reflects briefly on the links between corporate governance and wider patterns of inequality, suggesting the pluralist position is consistent with a Durkheimian sociology focusing on the potential in state-led regulatory interventions to tackle anomie and strengthen social solidarity.

The article brings together literature from what are often treated as relatively discrete areas of enquiry (employment relations and corporate governance) and also considers the public policy implications of these connections.

To remain sustainable, open source software (OSS) projects must attract new members—or newcomers—who make contributions. In this paper, the authors develop a set of hypotheses based on the knowledge barriers framework that examines how OSS communities can encourage contributions from newcomers.

Employing longitudinal data from the source code repositories of 232 OSS projects over a two-year period, the authors employ a Poisson-based mixed model to test how community characteristics, such as the main drivers of knowledge-based costs, relate to newcomers' contributions.

The results indicate that community characteristics, such as programming language choice, documentation effort and code structure instability, are the main drivers of knowledge-based contribution costs. The findings also suggest that managing these costs can result in more inclusive OSS communities, as evidenced by the number of contributing newcomers; the authors highlight the importance of maintaining documentation efforts for OSS communities.

This paper assumes that motivational factors are a necessary but insufficient condition for newcomer participation in OSS projects and that the cost to participation should be considered. Using the knowledge barriers framework, this paper identifies the main knowledge-based costs that hinder newcomer participation. To the best of the authors' knowledge, this is the first empirical study that does not limit data collection to a single hosting platform (e.g., SourceForge), which improves the generalizability of the findings.

Recovery Colleges were developed to support the recovery of people with mental health difficulties through courses co-produced by professionals and people with lived experience. This study aims to examine the use of Recovery Colleges to support people with dementia.

A survey was circulated to UK Recovery College and memory service staff, exploring provision, delivery and attendance of dementia courses. Open responses provided insight into participant views about recovery in post-diagnostic support and the practicalities of running dementia courses.

A total of 51 Recovery College staff and 210 memory service staff completed the survey. Twelve Recovery College dementia courses were identified across the UK. Three categories emerged from the qualitative data: post-diagnostic support, recovery in the context of dementia, challenges and areas of innovation.

This study highlights the benefits and practicalities of running Recovery College courses with people with dementia. Peer-to-peer learning was seen as valuable in post-diagnostic support but opinions were divided about the term recovery in dementia.

Social media celebrities are getting popular in promotions, and more people have experienced social media to receive information on diet and health tips. This research presents a study showing how social media can influence young people's diet behavior through collaboration with social media celebrities.

Through recruiting on various social media and online education forums, this research recruited 196 young Hongkongers to participate in an online survey developed based on the AIDA (Action, Interest, Desire, Attention) marketing communication model on how youths access diet information from social media celebrities in Hong Kong.

Hong Kong youths consume diet information from social media celebrities through instant messaging systems, social networking sites and online videos, and, in particular, information on food calories and nutrition. However, sponsorship from vendors would decrease their desire to agree with the messages from social media celebrities. After receiving this information, some participants would follow tips and guides from social media celebrities. However, they seldom share such information. Interestingly, males are more willing to follow these tips and guides.

First, this study fills the gap of prior research, which did not study much on how social media celebrities contribute to diet promotion to youths in Asia. Second, through the AIDA Model, this study shows how social media can affect the awareness and accessibility of diet information by young Hongkongers, followed by initiating their interest in this topic and retrieving more relevant information. Furthermore, the authors further understand their desire to follow and improve their behavior as promoted by social media influencers and how they practice such behavior. Based on these findings, health-related brands could consider using social media influencers helping to promote their products and services, and these brands could further use social media to secure customer engagement.

With the trend of adopting and studying artificial intelligence (AI) service robots at restaurants, the authors’ understanding of how customers perceive robots differently across restaurant segments remains limited. Therefore, building upon expectancy theory, this study aims to propose a trust-based mechanism to explain customers’ support for AI-based service robots.

For cross-segment validation, data were collected from online survey participants under the scenarios of experiencing AI service robots in luxury (n = 428), fine-dining (n = 420), casual (n = 409) and quick-service (n = 410) restaurant scenarios.

In all four segments, trust in technology increased willingness to accept AI service robots, which was then positively related to customers’ support for AI-based service robots. Meanwhile, customers’ AI performance expectancy mediated the relationship between trust in technology and willingness to accept AI service robots. On the other hand, at luxury, fine-dining and casual restaurants, males perceived a stronger positive relationship between trust in technology and AI performance expectancy. No generational differences were found in the four restaurant segments between trust in technology and AI performance expectancy.

To the best of the authors’ knowledge, this study is one of the first attempts in hospitality research to examine cross-segment validation of customers’ responses to AI-based service robots in the luxury, fine-dining, casual and quick-service restaurant segments.