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The purposes of this study are to identify the ways that luxury fashion brands can leverage in metaverse retailing, and give insights to practitioners in the fashion industry who are planning to launch metaverse retailing.

To offer a balanced view of available evidence, this study adopted a literature review approach and attempted to collect all existing academic journal articles on the issues related to metaverse retailing and luxury fashion brands. A comprehensive literature search was conducted in electronic databases Google Scholar, Web of Science, Scopus, Pro Quest and Science Direct from January 2023 to April 2024. Based on the results of the research in literature, real-life examples of luxury fashion brands were used to explain the ways that luxury fashion brands in the metaverse retailing can be put into practice.

The findings have revealed that there are many ways that luxury fashion brands can leverage in the metaverse retailing. The fusion of metaverse-related technologies provides brands with a wide platform of choices that can create immersive, personalized marketing experiences for customers. Four roles of metaverse are identified: (1) enhance of immersive experience; (2) provide big data interface to smart decision-making; (3) form high-fidelity simulated space; and (4) maintenance economic system and making of identification. To further enhance the four roles of metaverse, four types of technologies and 15 components for metaverse can be adopted by luxury fashion brands.

While this paper provides a literature review and real-life examples of luxury fashion brands in the metaverse retailing to explain the findings, further research is needed to evaluate the effectiveness of current efforts in the development of luxury fashion brands in the metaverse retailing through collecting both quantitative and qualitative data. Also, future studies may attempt to explore the challenges of investigating consumers in response to luxury fashion brands in the metaverse retailing.

The metaverse is turning imagination into reality through the integration of multiple technologies and is gaining momentum in tech. With technology leading the way, business leaders and brands must not only rethink retail but also bring immersive shopping experiences into the future. Metaverse has immense potential to transform the retail industry, thus the leading global and local firms must embrace innovation and new technologies, and prioritize “metaverse transformation” for their business. Based on the results of this study, some emerging practices pertaining to metaverse retailing are provided.

To the best of the authors’ knowledge, it would seem that this is the first work that conducts a literature review of the relevant academic journal articles addressed to the practitioners or managerial audiences in the area of luxury fashion industry who are concerned about the development of metaverse retailing. This paper identifies the ways that luxury fashion brands can leverage in the metaverse retailing and gives insights to practitioners in the luxury fashion industry who are planning to launch metaverse retailing.

This study aims to explore the experiences of peers working in a range of roles within a single NHS mental health service. This study also aims to provide evidence of the impact of existing support, organisational structure and culture around peer working and provide recommendations for a Good Practice Guide for Peer Working. Peer roles require lived experience of mental health conditions and/or services. While the impact on them of using their own lived experience is not fully understood, anecdotal evidence suggests that peer workers may experience a greater emotional impact than other mental health workers. Burnout and retention are particular concerns.

This was a two-stage study using focus groups and reflexive thematic analysis in Stage 1. The key themes formed the basis of the Stage 2 workshop, which provided recommendations for a Good Practice Guide. The study team consisted of peer researchers with lived experience, supported by a Lived Experience Advisory Panel.

There is a perceived lack of support and an increased peer burden for peer workers. Recommendations included relevant ongoing training and development; support and supervision; and organisational cultural change.

Working within a peer-led co-production framework, this study contributes to the development of the evidence base for peer emotional labour. Based on the findings, a Good Practice Guide for Peer Working is being developed to promote good practice for the development of future peer worker roles.

The purpose of this paper is to analyze FTX cryptocurrency frauds. FTX is a former cryptocurrency exchange platform that went bankrupt because of fraud in 2022.

Using a qualitative method and a case study of FTX, the authors document the multiple fraud schemes perpetrated. The authors collected media and research articles that discussed the FTX case. The authors analyzed 18 articles.

Based on this case, the authors highlight the governance and ethics weaknesses in the FTX environment. The authors also discuss cryptocurrency risks and regulation of cryptocurrencies. The FTX affair has shaken up the international regulatory world, which has been seeking solutions to protect customers and investors and helping banks take positions since 2022.

This study contributes to the fraud literature by deeply examining cryptocurrency fraud risks. In addition, the findings could help financial institutions and guide them in the cryptocurrency world.

The purpose of this paper is to demonstrate how network theory and methods can provide insights into the forces shaping architectural learning agendas and knowledge construction in architectural schools.

The methodology involves conceptualising learning as a constructivist process and the agenda as an interconnected network of actors, concepts and relations. Network analysis techniques, including centrality and brokerage metrics, are used to identify roles and knowledge flows using the data locally collected from Turkish universities as well as from the OpenSyllabus open-source database.

The analysis reveals the enduring influence of early modernists, signalling imbalanced canon formation in the architectural learning system. However, marginal voices highlight struggles in integrating unconventional perspectives. Limited integration of local figures indicates a consolidation of Eurocentric epistemes. Identifying these hidden forces is vital for reimagining learning agendas and socio-culturally engaged forms of learning. Pioneering figures demonstrate potential for synthesis when situated as brokers, not bifurcated schools.

The outcomes are limited by the geographical and temporal boundaries of the data and the analysis method employed. Despite limitations, the diagnostic network framework reveals architectural learning as an open, contested ecosystem demanding pluralistic pedagogies concerning not only the global but the local, both canonical and marginal. Further research covering more data could enrich the understanding of qualitative complexities.

The network perspective prompts critical reflexivity about power, ideology and exclusion in knowledge construction. Strategic inclusion and diversification of voices provide pathways to bridge divides and ground learning locally.

This research offers a methodology model to examine forces and influences shaping architectural education by elucidating hidden and remote roles and knowledge gaps in learning agendas. Extending the techniques more widely can enable strategic interventions toward inclusive, impactful learning across disciplines, time and geographies.

This study, a narrative literature review, aims to examine the combined benefits of the active and passive use of social media (SM) for well-being (WB), physical and mental health during the COVID-19 pandemic.

A search strategy has been carried out in the databases: Riss, PubMed, Medline, Scopus and Google Scholar, including all the articles published until 19 October 2023.

SM offers various benefits, including global risk awareness, health information, social connections and support. With the natural increase in physical inactivity due to COVID-19 social restrictions, SM has been identified as an appropriate tool for promoting physical activity (PA) at home to improve health.

It suggests that the combined use of active and passive benefits of SM could potentially play an important role in public health by increasing individuals’ health behaviours. In addition, dissemination, sharing and social interaction of information provided by YouTube can encourage healthy behaviours, contribute to WB, physical and mental health and raise public health awareness.

The findings presented in this study highlight the combined benefits of differentiating the features of SM use. Compared to other SM platforms, YouTube can be used as a useful tool for home-based PA that promotes health by enabling people to remain active and avoid barriers to PA due to social restrictions during the global crisis. In addition, some recommendations from the findings may help protect against potential risks and improve public health outcomes during global crises, such as the COVID-19 pandemic, among the general public using SM.

Given the evolution that knowledge management (KM) has undergone since the advent of the digital transition, the purpose of this paper is to evaluate how KM processes have changed as a result of agile organisations’ adoption of digital technologies.

Years have passed since the onset of the fourth industrial revolution, and the technologies unique to this revolution have permeated every organisation to varying degrees. Whether organisations have been at the forefront of technological innovation or have had to adapt to much more advanced digitised processes, they have had to change how they manage operations internally and with the remainder of the supply chain they serve. These changes have been much more significant for agile organisations, which rely heavily on digital systems and have strong supplier and customer interactions. Due to the large amount of data generated, these organisations are referred to as knowledge-intensive businesses, and as a result, their KM processes are of the utmost importance. For this reason, a multiple case study with a grounded theory approach has been implemented to carry out a field analysis.

The results show that Industry 4.0 technological advances can be included in the scientific debate on KM and agile innovation, given the effects that such technologies have on organisations.

In today’s increasingly connected world, these findings have the potential to generate significant economic value by improving coordination and collaboration in KM processes.

The purpose of this study is to examine the nexus between geopolitical risk, female CEOs and firm performance through a cross-country analysis.

The study period ranges from 2014 to 2021, and the dataset uses an unbalanced panel of 4,955 companies across 50 nations comprising both developed and emerging economies. Our study has employed a fixed-effect panel regression model, to examine this issue. This analysis was supplemented with applying a dynamic panel technique, i.e. System generalized method of moments (SGMM), to address any endogeneity problems.

The study reveals that female CEOs positively impact firm performance, while geopolitical risks decrease it. Gender plays a significant role in this relationship, with firms with female executives tending to make conservative financial decisions amidst increased risks. The study also shows that geopolitical threats (GPRT) have a greater impact on female CEOs-firm performance relationship in developed nations.

This study is a new investigation that explores the intertwining relationship between geopolitical risk, female CEOs and firm performance across the countries.

Critical infrastructures are susceptible to unexpected disruptive events that affect their functional performance. Public–private partnership (PPP) offers opportunities for stakeholders to build resilience by proactively coordinating and positioning the capabilities of the stakeholders. Partnerships are mostly riddled with risks that affect the performance and goal attainment of the partnerships. The purpose of this study was to develop a risk assessment model for PPP in critical infrastructure resilience (CIR) using fuzzy synthetic evaluation.

This study used a quantitative approach to analyse survey responses from respondents. Mean score ranking, Kendall’s coefficient of concordance and fuzzy synthetic evaluation were used to analyse the responses from respondents.

This study identified seven risk categories; Political, Financial, Ethical, Bureaucracies and red tapes, Legal, Coordination and Institutional as the critical risk categories that may frustrate the partners in a PPP arrangement from performing their responsibilities. A risk assessment model was also developed in the form of a risk index equation to ascertain the risk level of using a PPP to build critical infrastructure resilience in Ghana. It was found that the risk level in using PPP to build critical infrastructure resilience is high.

The outcome of this study can be used as an informative and guiding tool to streamline any future PPP arrangement or even amend current PPP arrangements in critical infrastructure resilience.

The study has drawn attention to the risks in using PPP to build critical infrastructure resilience within the Ghanaian context. It has also established a risk index to assess the risk level of using PPP to build critical infrastructure resilience. This risk index can be used to ascertain the risk level in different countries. In addition, no research has been conducted to empirically test the risks in using PPP to build critical infrastructure resilience thus making this study a novel contribution to the critical infrastructure resilience research domain.

The rapid global changes we are witnessing pose a pressing challenge that necessitates reevaluating conventional supply chain practices. Consequently, the integration of digital technologies into supply chain operations, often referred to as digital supply chain (DSC), has emerged as a strategic shift that aims to empower organizations to proactively seize new opportunities rather than being caught off guard by unforeseen disruptions arising from economic volatility, global pandemics and regional conflicts. Thus, this study embraces a knowledge-centric approach to explore the direct and indirect impact of knowledge management, innovation and learning capabilities on DSC adoption in an emerging economy context. Furthermore, it aims to shed light on the moderating role of environmental dynamism in this intricate interplay.

Employing a cross-sectional survey, the research data were collected from 354 managers representing Egyptian manufacturing and service firms utilizing a structured questionnaire. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM).

The results unveiled that knowledge management capability (KMC) has the highest path coefficient value among all endogenous variables. It accounts for a significant portion of the variance in innovation and learning capabilities, which play pivotal roles in adopting DSC. Notably, learning capability appears to exert a more powerful influence on DSC adoption than innovation capability through direct and mediating effects. Furthermore, the findings underscore the moderating effect of environmental dynamism on the relationship between learning capability and DSC adoption. However, this moderating role is not observed in the link between innovation capability and DSC adoption.

There is a growing trend among firms to adopt DSC in response to significant environmental shifts. This study offers valuable insights for managers and policymakers, providing them with a deeper understanding of the DSC adoption process. The study’s findings assist in identifying crucial factors that boost DSC adoption and offer guidance on successfully leveraging digital technologies for managing supply chain practices. Moreover, the study offers stimulating directions for future DSC research directions.

The study contributes to the existing literature by expanding our understanding of the adoption of DSC by utilizing knowledge, innovation and learning capabilities within the context of emerging economies.

Airports are an essential part of the airline value chains. Artificial intelligence (AI) technologies are widely used at airports; the study aims to explore how the virtual integration competence and the perceived warmth of AI in airports increase customer service competencies and satisfy their passengers.

Based on the perspectives of digital competencies and hybrid intelligence, a continued usage intention model was analyzed using the partial least squares approach; this study used purposed sampling to collect data from those airports; participants who adopted the AI service in airports in Beijing, Taipei and Singapore who have the potential to use AI service usage experience more than three times and 384 completed questionnaires were analyzed.

AI innovations serve human tasks at airports and analytics applications as change drivers and can replace legacy procedures. The research findings help point out the perceived warmth of AI and the virtual integration competence of airports utilizing the intimacy of AI services.

AI innovations provide a service change to replace human tasks and intelligence and analytics applications at airports. AI services are a powerful tool for airports to serve their passengers efficiently; airports will collaborate with airlines to offer AI services to passengers.