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The Metaverse is rapidly reshaping the understanding of tourism, yet the public perception of this new domain remains largely uncharted empirically. This paper aims to build on the technology acceptance model (TAM) and diffusion of innovations theory (DIT) to fill this gap, offering crucial insights that could inform scholars and practitioners in both the tourism and technology sectors.

Using a big-data approach, the authors applied machine learning to scrape comments made by social media users on recent popular posts or videos related to tourism in the Metaverse from three prominent social media platforms. The cleaning process narrowed down 15,461 comments to 2,650, which were then analysed using thematic, emotion and sentiment analysis techniques.

The thematic analysis revealed that virtual tourism evokes a complex range of public beliefs. While many express awe and excitement toward its immersive capabilities, others remain sceptical about authenticity compared to physical travel. Additional themes show people draw comparisons to real-world tourism, discuss technology’s role and note educational value and novelty. However, some comments raise concerns about potential societal harms, exploitation and mental health impacts. Sentiment analysis found over half of the comments positive, though some were negative. Emotion analysis showed contentment, happiness and excitement as most frequent, though sadness, worry and loneliness also featured. Overall, perceptions of Metaverse tourism encompass enthusiasm yet substantial ambivalence.

To the best of the authors’ knowledge, this study is one of the first to comprehensively analyse public discussions on Metaverse tourism. It takes TAM and Rogers’s DIT a step further and provides fresh insights into how these theories can be employed in the emerging field of Metaverse tourism. The themes revealed new conceptual insights into multidimensional factors shaping public beliefs about Metaverse tourism and thus informing scholarly research on virtual interaction and technology acceptance regarding Metaverse tourism. In addition, the results can help tourism providers, platforms and marketers address salient public beliefs and sentiments/attitudes in developing marketing offerings, experiences and communications. Over time, this analysis methodology can be used to track the evolving public perceptions of Metaverse tourism.

This paper aims to consider the role of social media platforms as educational technologies given growing evidence of harms to democracy, society and individuals, particularly through logics of efficiency, racism, misogyny and surveillance inextricably designed into the architectural and algorithmic bones of social media. The paper aims to uncover downsides and drawbacks of for-profit social media, as well as consider the discriminatory design embedded within its blueprints.

The authors used a method of a technological audit, framed through the lenses of technoskepticism and discriminatory design, to consider the unintended downsides and consequences of Twitter and Instagram.

The authors provide evidence from a variety of sources to demonstrate that Instagram and Twitter’s intersection of technological design, systemic oppression, platform capitalism and algorithmic manipulation cause material harm to marginalized people and youth.

The authors contend that it is a conflict of professional ethics to treat social media as an educational technology that should be used by youth in educational settings. Thus, they suggest that future scholarship focus more on addressing methods of teaching about social media rather than teaching with social media.

The paper concludes with recommendations for educators who might work alongside young people to learn about social media while taking informed social actions for more just technological futures.

This paper fulfills an identified need to challenge the direction of the field of social media and education research. It is of use to education scholars, practitioners and policy makers.

Business schools are vital in promoting responsible management (RM) – a management grounded in ethics and values beneficial to a wide array of stakeholders and overall society. Nevertheless, due to deeply embedded institutional modernistic dynamics and paradigms, RM is, despite its importance, repeatedly marginalised in business school curricula. If students are to engage with RM thinking, then its occlusion represents a pressing issue. Drawing on the United Kingdom (UK) business school context, this paper aims to examine this issue through a framework of institutional theory and consider the role played by (modernistic) institutional accreditation and research assessment processes in marginalisation of RM.

This study used an exploratory qualitative research method. Data were collected from 17 RM expert participants from 15 UK business schools that were signatories to the United Nations Principles for Responsible Management Education through semi-structured in-depth interviews and analysed using the six phases of Braun and Clarke’s thematic analysis.

The study identifies a potent institutional isomorphic amalgam resulting in conservative impacts for RM. This dynamic is termed multiple institutional isomorphic marginalisation (MIIM) – whereby a given domain is occluded and displaced by hegemonic institutional pressures. In RM’s case, MIIM operates through accreditation-driven modernistic-style curricula. This leads business schools to a predilection towards “mainstream” representations of subject areas and a focus on mechanistic research exercises. Consequently, this privileges certain activities over RM development with a range of potential negative effects, including social impacts.

This study fills an important gap concerning the need for a critical, in-depth exploration of the role that international accreditation frameworks and national institutional academic research assessment processes such as the Research Excellence Framework in the UK play in affecting the possible growth and influence of RM. In addition, it uses heterotopia as a conceptual lens to reveal the institutional “mask” of responsibility predominantly at play in the UK business school context, and offers alternative pathways for RM careers.

The objectives of this study are to (a) identify spatial and temporal crime concentrations, (b) supplement the traditional place-based analysis that defines hot spots based on counted incidents with an analysis of crime severity and (c) add to the research of hot spots with an analysis of offender data.

This study explores crime concentration in mass transit settings, focusing on Edmonton’s Light Rail Transit (LRT) stations in 2017–2022. Pareto curves are used to observe the degree of concentration of crime in certain locations using multiple estimates; trajectory analysis is then used to observe crime patterns in the data on both places and offenders.

A total of 16.3% of stations accounted for 50% of recorded incidents. Train stations with high or low crime counts and severity remained as such consistently over time. Additionally, 3.6% of offenders accounted for 50% of incident count, while 5% accounted for 50% of harm. We did not observe differences in the patterns and distributions of crime concentrations when comparing crime counts and harm.

Hot spots and harm spots are synonymous in low-crime-harm environments: high-harm incidents are outliers, and their weight in the average crime severity score is limited. More sensitive severity measures are needed for high-frequenty, low-harm enviornments.

The findings underscore the benefits of integrating offender data in place-based applied research.

The findings provide additional evidence on the utility of place-based criminology and potentially cost-effective interventions.

“Kidfluencer” is a relatively new term and refers to where young people actively exert influence on lifestyle and consumer behaviour through the use of social media. This study focused on capturing the complexities of this phenomenon, and issues of concern for policymakers that subsequently occur.

The study used semi-structured interviews to capture the retrospective experiences of ten young people as “kidfluencers” on the social media platforms, Facebook, Instagram, TikTok and YouTube.

The findings identified several issues associated with being a kidfluencer, such as affecting individuals’ work-life balance, their education, how safe they felt online and physically, how they maintained friendships, pressure to increase their profile and their mental health well-being. Overall, the study suggests that kidfluencing has specific negative effects on kidfluencers and their childhood experiences, which should be of concern to policy makers.

All participants were above the age of eighteen. Therefore, their contributions reflect upon their past, rather than speaking about their recent experiences, which can lead to retrospective bias. The sample size is small, reflecting the difficulties in accessing this sensitive area for study.

The study provides support for the decision taken in France to introduce legislation that protects kidfluencers, which may suggest a need for legislation in other countries.

The study is relevant in the context of the new law adopted by the French National Assembly in 2020 to provide a legal framework for the activities of child influencers on a range of online platforms. To date, France is the only country where such laws have been enacted. So far, there has been no specific evaluation of this law, and very little research on welfare issues experienced by kidfluencers themselves, making this study timely.

This paper aims to examine how content relevancy influences consumers’ preference to receive and share fake news. Further, it investigates how these receivers perceive the social image of the people who share fake news. Finally, this study examines how brand strength and valence and credibility of fake content influence consumer’s word-of-mouth recommendations, purchase intentions and attitude toward the brand.

Three experiments were conducted to test the hypotheses. The data was analyzed using a two-way analysis of variance and PROCESS techniques.

Findings indicate that people prefer to receive and share relevant content, even if it is fake. Sharing fake news conveys the sender’s sociability but also creates a negative perception of narcissism. Individuals are more likely to recommend a brand if the fake news is perceived as credible and positive (vs negative). Finally, brand-strength can help brands to negate the harmful effects of fake news.

Future research can explore the role of group dynamics, tie-strength and media richness (text, image and videos) in the dispersion of fake news and its impact on brands.

Marketers should communicate and educate consumers that sharing fake content can harm their social image, which can reduce information dispersion. Marketers should also improve brand-strength that can protect the brand against the adverse impact of fake news.

This study contributes to the emerging literature on fake news by studying the impact of fake news on consumer intentions and attitudes toward the brand, which are critical for the success of any brand.

Patient safety is a top priority globally. A robust healthcare system requires strategic collaboration between research and development. The author analysed over 300 cases from seven hospitals using the failure modes, effects, and criticality analysis (FMECA) tool to understand the underlying causes of medical errors.

The author studied seven hospitals and 300 cases using FMECA to prioritise activities. The findings showed that high-priority events occurred less frequently but had the potential to cause the most harm. Team members evaluated independently to ensure unbiased evaluations. This approach is useful for setting priorities or assessing difficulties.

Poor communication and lack of coordination among staff in a healthcare organisation caused misunderstandings, ineffective decision-making, delays in patient care, and medical errors. Implementation of effective communication and coordination protocols can help avoid these problems.

The study recommends using FMECA to identify and prioritise failures and conducting in-depth analyses to understand their root causes. It also highlights the importance of interdisciplinary knowledge and soft skills for healthcare staff.

This study reveals the significance of FMECA in healthcare risk management and benchmarking. FMECA helps identify system failures, develop prevention strategies, and evaluate effectiveness against industry benchmarks. It offers healthcare professionals a valuable tool to enhance patient safety and improve healthcare quality.

This study applies the modified brand avoidance model to examine factors that influence sustainable fashion avoidance behaviour among millennial shoppers in South Africa.

A positivistic approach and a web-based online survey were employed to collect cross-sectional data from 423 millennial fashion shoppers. Standard multiple regression analysis was used to test proposed hypotheses.

Unmet expectations, materialism and symbolic incongruence emerged as major predictors of millennials' intention to avoid sustainable fashion. Sustainable fashion avoidance intention was found to have a positive effect on sustainable fashion avoidance behaviour.

This study relied on self-reported data collected from millennial shoppers. Future studies may improve the generalizability of this study's results by conducting a comparative study with other cohorts such as baby boomers and Generation X who espouse different shopping values. Future studies may benefit from the use of longitudinal data in order to understand how millennial shoppers relate to sustainable fashion as it evolves.

The results of this study suggest the importance of developing value propositions that align sustainable fashion with cultural, personality and symbolic cues valued by millennial shoppers. Consumer education on the benefits of sustainable fashion is recommended as a long-term behavioural change strategy.

The purchase behaviour of sustainable fashion should be encouraged as it enhances environmental sustainability including safeguarding the livelihoods of future generations.

This study contributes to literature on sustainable fashion avoidance behaviour. This is one of the pioneering studies to empirically examine the influence of unmet expectations, symbolic incongruence and ideological incompatibility in the context of an emerging market, such as South Africa.

Given the workplace’s reinvention to accommodate the global pandemic’s novel conditions, knowledge hiding (KH) behaviour in knowledge-intensive organisations must be examined from a fresh perspective. In this context, the relationship between workplace ostracism (WO) as KH’s antecedent and quiet quitting (QQ) as its consequence is undertaken via the mediating role of KH behaviour among knowledge workers (KWs).

Through stratified sampling, data from 649 KWs is obtained to test the model. Partial least squares structural equation modelling (PLS-SEM) using SMART-PLS 4.0. software establishes a significant influence of WO on KH and QQ. KH significantly mediates the relationship between WO and QQ, highlighting its critical intermediary role PLSPredict evaluates the model’s predictiveness. WO and KH’s effects on QQ are examined using necessity logic by collectively applying PLS-SEM and necessary condition analysis (NCA).

The model wherein WO plays a significant role in increasing KH and QQ, with KH as a partial mediator in the relationship, has high predictive relevance. Moreover, NCA confirms WO as the key predictor variable that provides variance in QQ, followed by KH. The Importance-performance map analysis technique supports the study’s managerial implications.

This study enriches QQ’s emerging literature by empirically identifying its antecedents-WO and KH. Methodologically, this paper gives a model for using PLS-SEM and NCA together in relation to QQ by identifying WO as its necessary condition. Evidence of selected constructs’ interrelationships may help organisations draft leadership programmes to curtail KH and QQ behaviour.

The library and information science profession finds itself grappling with substantial difficulties and hurdles when addressing the trustworthiness and accuracy of information disseminated through social media platforms. This study aims to highlight the educational authority of librarians and propose a framework for librarians to establish their identity, understand the meaning behind their practice and integrate their expertise through knowledge practices, ensuring their relevance and effectiveness in the social media environment.

This study delves into a conceptual framework rooted in philosophical inquiry, seeking to establish a harmonious connection between interrelated concepts of civic roles, professional identity and knowledge practices. It draws upon both original research findings and a review of existing literature in the field.

Civic responsibilities reflect the professional identities of librarians. Evidence of knowledge practices collected from scientific literature emerged to be the important characterization of how librarians uphold their image as educational authorities. It describes the meaning of civic roles and professional practice.

The study sheds light on how librarians maintain their reputation as educators and the knowledge practices that underpin their civic responsibilities amidst the pervasiveness of information disorders.

The framework presented in the study offers a timely and relevant contribution to the complex realm of social media information disorders, a challenge that librarians grapple with regularly. It highlights the emerging role of librarians in society to assert their identity and recognize their civic responsibility in addressing this pressing issue that society faces.