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This paper reviews the literature on disability inclusion (DI) in supply and demand chains of hospitality and tourism (H&T) organisations. The purpose of this study is to assess disability support and interventions within H&T organisations. Through the assessment, we identified gaps to recommend H&T scholars’ and practitioners’ knowledge of DI from new perspectives.

An integrative review was conducted to examine the published evidence on DI in H&T organisations. This study used high-ranking H&T journals from the Scopus and Web of Science databases between 2001 and 2023. In total, 101 empirical papers met the criteria for the review analysis.

DI focuses heavily on customer disabilities, with scant research on DI in H&T employment. The review emphasises the critical need for empirical research into the varied disability employment ecosystem within H&T organisations, focusing on social integration for inclusive workplaces.

This study contributes to the H&T literature, which previously overlooked the disability context in diversity. The research offers strategies for creating inclusive environments in the H&T industry for disabled consumers and producers.

Railways are a well-known example of complex critical infrastructure, incorporating socio-technical systems with humans such as drivers, signallers, maintainers and passengers at the core. The technological evolution including interconnectedness and new ways of interaction lead to new security and safety risks that can be realised, both in terms of human error, and malicious and non-malicious behaviour. This study aims to identify the human factors (HF) and cyber-security risks relating to the role of signallers on the railways and explores strategies for the improvement of “Digital Resilience” – for the concept of a resilient railway.

Overall, 26 interviews were conducted with 21 participants from industry and academia.

The results showed that due to increased automation, both cyber-related threats and human error can impact signallers’ day-to-day operations – directly or indirectly (e.g. workload and safety-critical communications) – which could disrupt the railway services and potentially lead to safety-related catastrophic consequences. This study identifies cyber-related problems, including external threats; engineers not considering the human element in designs when specifying security controls; lack of security awareness among the rail industry; training gaps; organisational issues; and many unknown “unknowns”.

The authors discuss socio-technical principles through a hexagonal socio-technical framework and training needs analysis to mitigate against cyber-security issues and identify the predictive training needs of the signallers. This is supported by a systematic approach which considers both, safety and security factors, rather than waiting to learn from a cyber-attack retrospectively.

This paper aims to present a tool-supported approach for visualising personas as social goal models, which can subsequently be used to identify security tensions.

The authors devised an approach to partially automate the construction of social goal models from personas. The authors provide two examples of how this approach can identify previously hidden implicit vulnerabilities and validate ethical hazards faced by penetration testers and their safeguards.

Visualising personas as goal models makes it easier for stakeholders to see implications of their goals being satisfied or denied and designers to incorporate the creation and analysis of such models into the broader requirements engineering (RE) tool-chain.

The approach can be used with minimal changes to existing user experience and goal modelling approaches and security RE tools.

Due to product diversity, traditional quality signals in the hotel industry such as star ratings and brand affiliation do not work well in the accommodation booking process on the sharing economy platform. From a suppliers’ perspective, this study aims to apply the signaling theory to the booking of Airbnb listings and explore the influence of quality signals on the odds of an Airbnb listing being booked.

A binomial logistic model is used to describe the influences of different attributes on the market demand. Because of the large sample size, sequential Bayesian updating method is utilized in hospitality and tourism field for the first attempt.

Results show that, in addition to host-specific information such as “Superhost” and identity verification, attributes including price, extra charges, region competitiveness and house rules are all effective signals in Airbnb. The signaling impact is more effective for the listings without any review comments.

This study contributes to the literature by incorporating the signaling theory in the analysis of booking probability of Airbnb accommodation. The research findings are valuable to hosts in improving their booking rates and revenue. In addition, government and industrial management organizations can have more efficient strategy and policy planning.

This paper aims to explore the learning needs of general practitioners (GPs) involved in commissioning mental health provision in England, and offer an evaluation of a leadership and commissioning skills development programme for Mental Health Commissioners.

Retrospective mixed method, including online mixed method survey, rating participants’ knowledge, skills, abilities, semi-structured telephone interviews and third-party questionnaires were used. Results were analysed for significant differences using the Wilcoxon Signed Ranks test. Open-ended responses and interview transcripts were analysed thematically.

Indicative results showed that participants perceived significant impacts in ability across eight key question groups evaluated. Differences were found between the perceived and observed impact in relation to technical areas covered within the programme which were perceived as the highest scoring impacts by participants.

The indicative results show a positive impact on practice has been both perceived and observed. Findings illustrate the value of this development programme on both the personal development of GP Mental Health Commissioners and commissioning practice. Although the findings of this evaluation increase understanding in relation to an important and topical area, larger scale, prospective evaluations are required. Impact evaluations could be embedded within future programmes to encourage higher participant and third-party engagement. Future evaluations would benefit from collection and analysis of attendance data. Further research could involve patient, service user and carer perspectives on mental health commissioning.

Results of this evaluation could inform the development of future learning programmes for mental health commissioners as part of a national approach to improve mental health provision.

This policy brief provides policy recommendations on the internal design of new secure children's homes (SCHs).

These policy recommendations are developed from findings from focus group discussions with academics, practitioners, frontline workers, and leaders in child protection services.

Health services continue to face economic and capacity challenges. Quality improvement (QI) methods that can improve clinical care processes are therefore needed. However, the successful use of current QI methods within hospital settings remains a challenge. There is considerable scope for improvement of elective clinical pathways, such as hip and knee replacement, and so the use and study of QI methods in such settings is warranted.

A model to manage variability was adapted for use as a QI method and deployed to improve a hip and knee replacement surgical pathway. A prospective observational study, with a mixed-methods sequential explanatory design (quantitative emphasised) that consisted of two distinct phases, was used to assess its effectiveness.

Following the use of the novel QI method and the subsequent changes to care processes, the length of hospital stay was reduced by 18%. However, the interventions to improve care process highlighted by the QI method were not fully implemented. The qualitative data revealed that staff thought the new QI method (the model to manage variability) was simple, effective, offered advantages over other QI methods and had highlighted the correct changes to make. However, they felt that contextual factors around leadership, staffing and organisational issues had prevented changes being implemented and a greater improvement being made.

The quality of QI reporting in surgery has previously been highlighted as poor and lacking in prospective and comprehensively reported mixed-methods evaluations. This study therefore not only describes and presents the results of using a novel QI method but also provides new insights in regard to important contextual factors that may influence the success of QI methods and efforts.

This paper aims to highlight the need to better understand the determinants of adopting (more) collaborative, integrated approaches in strategic destination management plans and operational business procedures which is to improve destination and business resilience towards the growing frequency, increasing number and accelerating impacts of natural disasters around the world.

The paper reviews literature on the topic of tourism planning, development and management in light of natural disasters.

The paper pinpoints a number of factors that hamper the adoption of a (better) integrated and (more) collaborative framework of disaster and destination management among tourism stakeholders. It further proposes how these factors can at least partially be addressed and highlights the role of scholarly research in this endeavour.

The paper highlights the determinants of adopting more integrated and collaborative approaches to managing natural disasters by individual tourism businesses and entire tourist destinations and proposes how these can be harnessed.

The purpose of this paper is to introduce e-mindfulness as a tourism trend. Mindfulness meditation is becoming increasingly mainstream, which is reflected in a rapidly growing number of related technology applications. Such technology-assisted mindfulness is typically referred to as e-mindfulness. The e-mindfulness trend creates opportunities for the tourism industry but also implies changed consumer perspectives on tourist experiences.

The paper is based on a general review of academic literature, news reports and online resources regarding the offerings of related technologies.

Implications of e-mindfulness for consumers, tourism service providers and designers of future tourism experiences are outlined.

This is the first paper to conceptualize e-mindfulness as a tourism trend.