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This paper aims to describe an experiential learning activity designed to sensitize students to the prevalence and challenges of disclosing invisible disabilities in the workplace. It provides an impactful learning experience about a widespread phenomenon that receives little attention in textbooks.

The exercise assigns a hidden disability to some participants who interact with others who act as trusted friends. The interactions help participants develop their ability to interact sensitively with those who may have hidden disabilities. They explore the advantages and disadvantages of disclosing hidden disabilities at work. Guiding questions help focus deliberations during which participants consider the influence of their assigned role.

A plenary discussion follows where students share the outcomes of the simulation. Debriefing questions and suggested answers help instructors deepen student learning on the topic. A follow-up assignment allows participants to summarize personal learning about the subject and solidify the learning outcomes.

Most workers with nonapparent disabilities hide them, although disclosing them may help their employers provide helpful accommodations. This learning activity helps increase awareness and understanding of hidden disabilities in work settings and supports learning about disclosing and accommodating disabilities in the workplace. Instructors can use the activity to support understanding of employee rights, equity and accommodations in large or small classes, in-person or online, synchronously or asynchronously.

The purpose of this paper is to determine the relationship between trait and situational empathy, and the effect of educational activities on empathy of nursing students towards people living with dementia.

This embedded mixed-methods study compared trait and situational empathy examined situational empathy pre/post didactic and experiential activities with nursing students and used qualitative data from focus group discussions to corroborate the quantitative data.

There was no significant difference between trait and situational empathy. Post intervention scores (situational) demonstrated improvements on empathic concern, shared affect, empathic imagination, helping motivation and cognitive empathy. Focus group discussions supported quantitative findings and also included distress.

Limitations include lack of generalizability, single group threats and exclusion of stakeholder input. Single group threats include absence of a control group, familiarity with the CSES from pre-test to post-test and reactive measurements, as the students were observed by faculty while completing the Dementia Live activity. The perspective of stakeholders would strengthen the impact of the results on implementation.

Information gleaned from this study can help inform administrators in education and in practice. CliftonStrengths assessment and Dementia Live simulation activities can be used for administrators, faculty and students in schools of nursing as well as administrators and health-care workers.

Information from this study can impact those living with dementia as well as their caregivers.

Most studies involving health-care students and empathy do not delineate between trait and situational empathy. This study is unique in that it measured both and sought a relationship between the two. Determining one's personal attributes such as trait empathy, can help students capitalize on their strengths and ultimately enhance patient care.

The purpose of this paper is to analyse the metaverse platform in a social context to better understand the future of this tool in tourism cities and how this can help to improve the well-being of residents in both digital and physical scenarios.

In this paper, the current and probable developments in the metaverse, and its use in tourism cities and companies have been investigated. Moreover, this study develops, collects and examines the main metaverse definitions by expert authors and organizations as a methodology to ensure the transparency and credibility of the metaverse analysis.

Findings suggest that the fusion of the metaverse and tourism cities must create residents’ services and experiences in the new MetaTourPolis to help interact and connect citizens with the city’s institutions and companies, as well as make tourism cities more attractive, innovative, environmentally friendly and healthier places to live. Metaverse will bring new changes for residents and tourists, in fact, this virtual platform is already changing and improving the residents’ quality of life and people with disabilities in tourism cities. For instance, the metaverse platform has been implemented in Seoul, Santa Monica and Dubai MetaTourPolis to interact with their residents, including people with disabilities, to resolve bureaucratic and administrative problems, avoiding this group and the rest of the residents travelling by bus or car to the city’s institutions. In addition, several metaverse applications based on softbot tutors or metaverse virtual social centres have been developed to improve blind and impaired people, and elderly people’ quality of life, respectively.

A new concept called “MetaTourPolis” has been included to stage the relationship between tourism cities and the metaverse platform, where the fusion of metaverse and the new tourism polis of the 21st century will be at the service of citizens, tourists and companies, to create more sustainable, efficient, quantitative and environmental tourism cities.

This paper aims to discuss the utility of eye movement desensitization and reprocessing (EMDR) therapy as a treatment for children with intellectual disabilities (ID) who have experienced trauma.

Relevant National Institute for Health and Care Excellence (NICE) guidance and literature were reviewed to provide support for the use of EMDR as a treatment for trauma in children with ID.

There is a growing body of evidence which demonstrates that EMDR therapy is successful for the treatment of trauma in adults and children. However, for children with ID, the research is limited despite those with ID being more likely than non-disabled peers to experience trauma such as abuse or neglect.

EMDR can only be facilitated by trained mental health nurses, psychiatrists, psychologists (clinical, forensic, counselling or educational) or occupational therapists or social workers with additional training. Finally, general practitioners who are experienced in psychotherapy or psychological trauma and have accreditation. Therefore, this highlights that there may be a lack of trained staff to facilitate this intervention and that those who are generally working with the client closely and long term such as learning disability nurses are not able to conduct this intervention.

This paper presents an account of NICE guidance and evidence of the efficacy of EMDR as a treatment for adults, children and those with ID.

While only one aspect of fulfilling equal rights, effectively addressing workplace discrimination is integral to creating economies, and countries, that allow for everyone's full and equal participation.

Labor, anti-discrimination, and other relevant pieces of legislation were identified through the International Labor Organization's NATLEX database, supplemented with legislation identified through country websites. For each country, two researchers independently coded legislation and answered questions about key policy features. Systematic quality checks and outlier verifications were conducted.

More than 1 in 5 countries do not explicitly prohibit racial discrimination in employment. 54 countries fail to prohibit unequal pay based on race. 107 countries prohibit racial and/or ethnic discrimination but do not explicitly require employers to take preventive measures against discrimination. The gaps are even larger with respect to multiple and intersectional discrimination. 112 countries fail to prohibit discrimination based on both migration status and race and/or ethnicity; 103 fail to do so for foreign national origin and race and/or ethnicity.

Both recent and decades-old international treaties and agreements require every country globally to uphold equal rights regardless of race. However, specific national legislation that operationalizes these commitments and prohibits discrimination in the workplace is essential to their impact. This research highlights progress and gaps that must be addressed.

This is the first study to measure legal protections against employment discrimination based on race and ethnicity in all 193 UN countries. This study also examines protection in all countries from discrimination on the basis of characteristics that have been used in a number of settings as a proxy for racial/ethnic discrimination and exclusion, including SES, migration status, and religion.

From a technological determinist perspective, machine learning (ML) may significantly contribute towards sustainable development. The purpose of this study is to synthesize prior literature on the role of ML in promoting sustainability and to encourage future inquiries.

This study conducts a systematic review of 110 papers that demonstrate the utilization of ML in the context of sustainable development.

ML techniques may play a vital role in enabling sustainable development by leveraging data to uncover patterns and facilitate the prediction of various variables, thereby aiding in decision-making processes. Through the synthesis of findings from prior research, it is evident that ML may help in achieving many of the United Nations’ sustainable development goals.

This study represents one of the initial investigations that conducted a comprehensive examination of the literature concerning ML’s contribution to sustainability. The analysis revealed that the research domain is still in its early stages, indicating a need for further exploration.

The age of artificial intelligence (AI) is already upon us. The rapid development of AI tools is facilitating sustainable development and its corollary social good. For AI dedicated to social good to be impactful, it has to be human-centred, striving to achieve inclusiveness, sustainable livelihoods and community well-being. In short, it offers major opportunities to holistically enhance peoples' lives in diverse areas: education, health care, food security, disaster reduction, smart cities, etc. However, ethical, unbiased and ‘secure-by-design’ algorithms that power AI are crucial to building trust in this technology. Civil society's engagement can hopefully drive the features and values that should be embedded in AI.

This chapter focuses on the societal benefits that AI can deliver. Our initiatives and decisions of today will fashion the ‘Social Good’ AI applications of tomorrow. Sustainable Development Goals (SDGs) being addressed are 2–4 and 10–11.

Academic literature calls for research on the impact of psychological states derived from mental illness on detrimental consumer behaviour. The purpose of this study is to assess the impact of anxiety on the consumer’s buying processes (compulsive and impulsive) and emotional regulation.

To carry out the statistical analysis, the data were obtained through an online survey (n = 726) of supermarket consumers. The treatment of the data was using partial least squares structural equation modelling (PLS-SEM).

The results obtained show that anxiety influences the generation of harmful behaviour, as it has a positive impact on compulsive and impulsive buying. In addition, compulsive and impulsive buying generate higher levels of consumers’ emotional regulation.

This study contributes to the management of anxiety as a priority element to reduce harmful behaviour. Therefore, it provides useful information for marketing managers and professionals in psychological and healthy consumer processes.

學術文獻不斷呼籲研究人員和學者去探討來自精神病的心理狀態如何產生有害的消費者行為。本研究擬評定焦慮對消費者購買流程 (強迫性購物和衝動購物) 和情緒調節所產生的影響。

為能進行統計分析,研究人員透過超級市場消費者的在線調查 (n = 726) 取得數據,繼而以結構方程 (PLS-SEM) 處理數據。

研究結果顯示,焦慮會導致有害行為的產生,這是因為焦慮對強迫性購物和衝動購物均產生積極的影響; 而且,強迫性購物和衝動購物會產生較高水平的消費者情緒調節。

本研究的貢獻在於把焦慮視為減少有害行為的優先元素而予以管理; 因此,本研究為市場經理以及於心理上的和健康的消費者進程的專業人員提供了有用的資料。