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In this chapter, we explore the dark side of the metaverse and the need for user protection. While the metaverse offers multiple opportunities it also poses significant risks for users, such as privacy concerns, addiction, harassment, and cyberbullying. First, we discuss the various threats that users may encounter such as online harassment, assaults, cyberbullying, hate speech, identity theft, and virtual property theft. As per the Center for Countering Digital Hate, an incident of violation occurs every seven minutes within VRChat, a popular virtual reality game. The level of misconduct in the metaverse can surpass the extent of internet harassment. Virtual reality gaming has been associated with various health issues like sleep deprivation, and insomnia as well as mental health concerns such as depression, anger, and anxiety. We examine how these issues may impact user’s physical and mental health. The sensors and devices used in the metaverse collect a vast amount of user biometric data and spatial data. Interactions between users and metaverse could be leaked. We examine different methods that improve user protection, including everyone from enhanced security protocols via the application of privacy-enhanced technology to several avatars, two-factor authentication, and user educational and awareness programs. Moreover, we explore how the newest technologies, like blockchain and artificial intelligence, play a role in making user safety more important. We finished the course with the study of the case of Second Life, the virtual reality gaming platform, and pointing out some of the problems that exist within it.

This chapter reviews the Metaverse’s inception and digitalization’s impact on the fashion and apparel retail industry. This review demonstrates how digital clothing rooted in the Metaverse assists industry environmental sustainability, the planet, and consumers, providing business strategies for growth through research in theory and an analysis of practices. Virtual checkout uses digital tools to help marketers and designers better understand their target audience. In the foreseeable future, the Metaverse of our works will be a well-known and safe space for budding designers. Designers will find it much simpler to bring their concepts to life thanks to the immediate relationship that Metaverse technology creates with humans.

Eco-friendly methods and technology found in the Metaverse will transform the industry. Expanding acceptance of Metaverse could lead to a 97% decrease in the amount of carbon dioxide in approximately per item 4,000 L of water, reducing its carbon footprint by around thirty percent during the company’s design and development phases.

Digital apparel may be extremely helpful leading up to the real physical manufacturing of a garment, applied to sampling, marketing and modeling prior the actual variants are put into manufacturing, significantly lowering the environmental impact of a clothing item’s entire lifecycle. Computer-generated representations of clothing cannot replace real garments entirely, and they can help reduce waste and help address overproduction-related difficulties.

This chapter clarifies how digital fashion based on the Metaverse assists business environmental sustainability, users, and acts as a resource to improve approaches.

The majority of gang research has focussed primarily on American samples, with the rehabilitative field being no exception. Therefore, the purpose of this study was to expand the knowledge base regarding the psychology of gang membership by exploring the narrative accounts of convicted street gang members within an English and Welsh prison sample.

Using semi-structured interviews with nine convicted male prisoners, data were analysed, systematically coded and themes generated in line with the principles of thematic analysis.

Three major themes emerged which depicted how members viewed gang membership. The first theme was around what being a gang member meant to them and the organisation within the gang (e.g. hierarchy and criminal activities). The second theme reflected their motivations for joining a gang with reference to their identity and survival. Lastly, within the third theme, participants spoke about what had motivated them to disengage from the gang, difficulties they faced because of disengagement, and what they felt had helped them in the process of disengagement.

The study emphasises the importance of avoiding labels and promoting choice as to how individuals refer to themselves, which can help remove stigma and strengthen professional relationships as part of their risk management planning. Policymakers, practitioners and programme developers are advised to reflect on the word “gang” and how this may influence perception of risk and contribute to bias in judgement. The study also provides insight into individuals experiences with rehabilitation initiatives and the logistical challenges of being open with their peer group. Also supports ideas on considering how to create opportunities to ensure those who wish to exit gangs can do so in a safe, legitimate and durable way. Findings could assist in the design of early preventative measures for those identified as being at risk of joining a gang. Offering training to professionals in the community on how to identify and communicate with those vulnerable to joining a gang may support this process.

Findings add to the limited yet growing evidence base in understanding the psychology of gang membership and helping to support the work undertaken with this cohort.

Artificial Intelligence (AI) in education is a rapidly emerging technology that has revolutionised teaching and learning, administrative tasks and research in higher education. The emergence of AI in higher education has impacted the evolving roles of faculty and students, how data is examined and how results are delivered. In this chapter, the different aspects of the role of AI and the transformative power of AI in both academic and administrative spheres are revealed. The case studies presented and future directions reveal AI's capability in transforming education and preparing for an AI-driven workforce. The personalisation of learning experiences, automation of administrative tasks, enhancement of research and impact on instructional design, all made possible through AI, reveal the possibility of tackling long-standing challenges in education, such as accessibility, engagement and efficiency. In the AI-enhanced future that higher education institutions navigate, it is vital to hold on to the principle that AI should be used as a tool for empowerment, innovation and transformation, ensuring that learning goes through the required progress.

Particularly in response to rapidly changing circumstances and environments, conservation involves identifying and retaining an element of heritage, stability, and familiarity in both existing areas and informing the design of new areas. Yet this is a complex and contested process. It involves processes of valuation and selection: so whose heritage is being selected, prioritized, promoted, and retained, and whose is marginalized, redeveloped, and vanishes? And individuals and communities do change over time, so the views and values of those communities are also likely to change. Incomers do not necessarily share the same values as long-term residents. On a wider scale, what is generally accepted as worthy of conservation also changes with, for example, postwar modernism, brutalism, and postmodernism becoming accepted but difficulties with problematic heritage ‒ of war, destruction, slavery and exploitation, for example – being contentious and potentially splitting communities. What one generation values, particularly if it is (relatively) new, can be seen by others as disfiguring, and this is very evident in the contentious heritage identification and conservation of urban art and graffiti. We use a range of examples from the United Kingdom, Europe, and elsewhere to identify and critique the processes and products – the landscapes of heritage manipulation, the decision-making processes, the power of individuals and communities. All these are critical factors in the complex interrelationship between placemaking and conservation, new and old.

This paper investigates the role of nexus supplier transparency, which involves the collective information disclosure to the public by second-tier nexus suppliers, as an alternative mechanism for mitigating buyer environmental, social and governance (ESG) risk exposure. We also examine buyer supply network accessibility as a moderating factor that facilitates collecting detailed information and undertaking corrective actions accordingly.

We collected a sample of 428 focal buyer firms and their supply networks up to third-tier suppliers. Data were obtained from Bloomberg and RepRisk databases. We identified critical nexus suppliers using data envelopment analysis (DEA) and tested hypotheses using regression analysis.

The results show that the benefits of nexus supplier transparency, such as reducing buyer ESG risk exposure, differ depending on the type of nexus supplier disclosing information and buyer supply network accessibility. Informational nexus supplier transparency was found to be beneficial. However, the results revealed the double-edged sword of monopolistic nexus supplier transparency, which benefits buyers with higher levels of accessibility but increases risk exposure for buyers with lower accessibility.

This study demonstrates that the transparency of critical second-tier suppliers mitigates buyer ESG risk exposure by providing information about lower tiers in the supply network. Challenging the notion of the focal buyer as the main orchestrator of supply chain initiatives, our alternative perspective opens a new avenue for risk management in multi-tier supply chains.

The Metaverse, an emergent Web 3.0 platform, offers users immersive virtual reality experiences. This study employs a case study approach to explore the concept of sustainability within the Metaverse. It examines the environmental, social, and economic implications of virtual interactions and the role of sustainable technologies in shaping user behavior and virtual economies. Through selected case studies, the research provides insights into the potential and challenges of integrating sustainable practices in the Metaverse, with implications for stakeholders ranging from policymakers to end-users.

Grounded in the psychological reactance theory, this study aims to explore more effective strategies to promote environmentally friendly mobility preferences by examining the interplay between individual value orientations, perceived freedom threats, reactance and assertive language in advertisements promoting sustainable mobility on consumers’ attitude toward such ads.

An online questionnaire was distributed to 400 participants. Covariance-based structural equation modeling was used to test the hypothesized model.

The study demonstrates that when seeing assertive ads that promote environmentally friendly mobility options, a prevalent biospheric (hedonic) value orientation leads to a significantly lower (higher) perceived threat toward the ad. This was not the case when seeing the non-assertive ad. While assertiveness in ads has a greater positive influence on the relationship between perceived freedom threat and reactance, non-assertiveness has a greater negative effect on the relationship between perceived reactance and attitude toward green ads.

Organizations promoting sustainable mobility should tailor advertisements to audience values. For groups with shared values, direct and assertive messages work. For broader audiences, emphasize message attractiveness over assertiveness.

The study investigates the influence of assertive message framing and individual value orientations on the reactance process in the context of environmentally friendly mobility. It finds individual value orientations to be a significant factor in the reactance process, further extending the psychological reactance theory. Moreover, it revalidates reactance as a construct consisting of anger and negative cognition.

The purpose of this study is to gain a better understanding of the conditions and motivations that influence teachers to adopt innovations.

Using Diffusion of Innovation theory (Rogers, 2003) and Self-Determination theory (Ryan and Deci, 2017), data from two surveys (n = 568; n = 108) and qualitative follow-up interviews of Early Adopter teachers (n = 16) were triangulated to discern relationships among their identification as Early Adopters, satisfaction of their basic psychological needs (BPN) and their implementation of an educational innovation.

Early Adopters had a positive and statistically significant relationship with the implementation of the innovation. Satisfaction of teachers’ BPN had the largest impact on innovation.

The findings are preliminary and based on a small sample size of teachers. Reliability of the measure of BPN was not as high as the standard, but it did have the largest impact on implementation. Additional studies should explore the connections among Early Adopter teacher motivation, leadership and the satisfaction of their BPN.

School leaders should leverage the influence of Early Adopters to support innovation, and they should provide additional time, training and resources to supports teachers’ BPN.

This study examines how to identify and support Early Adopter teachers as enablers of change within schools. We know of no other studies that have used both Diffusion of Innovation theory and Self-Determination theory to understand the motivations of Early Adopter teachers.

The Metaverse and Internet of Things (IoT) have emerged like a tidal wave, and it is creating a transformative impact on society and industry. The metaverse and IoT changed the way companies were operating earlier and customers were living their lives. On the other hand, Metaverse enriches the customer experience by offering a matchless virtual experience using augmented reality and state-of-the-art technology. The metaverse and the IoT can be used in various sectors such as manufacturing, transportation, retailing, health care, banking, and automobiles to make cities smart. Metaverse and IoT provide real-time data, reduces operational cost and errors, improves efficiency, and helps industries to make intelligent decisions. Although the IoT and Metaverse offer significant benefits, it is not free from limitations. Ethical dilemmas, privacy issues, data breaches, and difficulty in extracting relevant data impose serious challenges that need to be addressed. There is an urgent and dire need to create a trade-off between the interest of the business and the privacy and security of customers. This chapter aims to discover the potential of Metaverse and IoT in various sectors (e.g., healthcare, transportation, and electronics). This study will bring significant insights to researchers and policymakers by exploring the likely benefits of IoT and metaverse in diverse sectors to develop smart cities. This chapter will also explain the challenges of metaverse and IoT, which can be addressed by integrating data analytics tools optimally and efficiently.