This chapter explores the convergence of artificial intelligence (AI), the internet of things (IoT), and the metaverse, highlighting their combined potential to transform digital and physical experiences. AI encompasses technologies such as machine learning, natural language processing, and computer vision, which enable intelligent decision-making and interaction. IoT involves interconnected devices that collect and share data, facilitating automation and real-time insights. The metaverse represents immersive virtual environments augmented by AR, VR, and digital avatars. The integration of AI and IoT within the Metaverse enhances user experiences through personalization and intelligent interactions. Smart environments, driven by IoT data and AI analytics, create responsive and interactive spaces that seamlessly blend physical and virtual realms. Advanced simulations in training, education, and industrial applications leverage real-time data for realistic and effective experiences.

Urban areas face increasing environmental and socio-economic challenges, necessitating innovative approaches to development. Blue and green infrastructure (BGI) presents a sustainable solution by integrating natural and semi-natural systems into urban settings, enhancing resilience and livability. This chapter, “Exploring Blue and Green Infrastructure Options for Urban Integration,” delves into the diverse types of BGI, examining their functions, benefits, and implementation strategies. Blue infrastructure, encompassing elements like rivers, lakes, wetlands, and stormwater systems, plays a crucial role in water management, flood control, and biodiversity enhancement. Green infrastructure, including green roofs, urban forests, and permeable pavements, contributes to air quality improvement, climate resilience, and public health. The chapter outlines the synergistic effects of combining blue and green infrastructure, emphasizing the need for integrated design and planning.

Introduction: Society 5.0 emphasizes a human-centered approach leveraging AI, IoT, and big data for sustainability, inclusivity, and innovation. Sports management, traditionally reliant on manual methods and limited data, now adopts data-driven technologies to enhance decision-making, operational efficiency, and inclusivity in sports culture. Objectives: The study aims to, Investigate how data-driven technologies improve sports management efficiency. Identify trends transforming physical sports culture to foster inclusivity and societal well-being.Methodology: A mixed-methods approach was used, combining surveys, interviews, and statistical analyses (e.g., regression and ANOVA). Key performance indicators included operational efficiency, fan engagement, athlete performance, and inclusivity. Results: Data analytics significantly improved sports management efficiency (R² = 1) by enhancing decision-making, fan engagement, and athlete performance. Targeted fan experiences increased satisfaction and inclusivity, while technology integration promoted sustainability. Discussion: The findings highlight the transformative potential of data-driven strategies. Enhanced operational outcomes, personalized fan engagement, and improved athletic performance underline the growing role of AI and IoT in modern sports management. Conclusion: Data analytics is reshaping sports management by boosting efficiency, inclusivity, and sustainability. Policymakers and industry stakeholders must prioritize data-driven technologies, capacity-building, and ethical standards to unlock the full potential of these advancements.

This chapter explores the synergy between digital health innovations and social networks, emphasizing their transformative impact on healthcare quality. Addressing challenges like access disparities, rising costs, and patient safety concerns, the author dissects telemedicine, EHRs, wearables, and AI, illustrating their contributions to healthcare improvement. Case studies highlight positive changes, from expanded access to informed decision-making. The role of social networks in facilitating adoption and ensuring patient engagement is crucial. The chapter introduces a framework with KPIs, underlining social networks as platforms for sharing best practices. Request access from your librarian to read this chapter's full text.

Despite increasing consumer interest in sustainable products, actual purchase and repeat usage of eco-friendly personal-care items remain disappointingly low. This study employs a fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory) approach to systematically identify, quantify, and prioritize the causal relationships among barriers to sustainable-product adoption. A Delphi panel of 15 sustainability experts generated a consensus list of 12 key barriers (economic, psychological, social, technological, and policy-related). Experts provided pairwise influence judgments using a five-point linguistic scale, which were mapped to triangular fuzzy numbers, aggregated, defuzzified, and normalized to yield a crisp total-relation matrix. Cause–effect analysis (D–R and D+R indices) highlighted price premium, perceived greenwashing risk, and limited availability as the dominant root causes. A pilot consumer survey (n = 120 urban millennials in Bengaluru) validated these findings (Pearson’s r = 0.92). Sensitivity analyses across multiple ?-cut levels confirmed the stability of barrier rankings. Leveraging these systemic insights, we propose a three-stage mitigation roadmap—short-term (discount trials, transparency campaigns), medium-term (traceability via blockchain, retail partnerships), and long-term (in-house R&D, policy advocacy)—tailored for an eco-personal-care brand. This work advances fuzzy MCDM methodology by integrating pilot validation and offers actionable guidance for marketers and policymakers aiming to dismantle the complex web of obstacles hindering sustainable-consumption uptake.

In the contemporary healthcare landscape, the integration of digital technologies has reached unprecedented levels, revolutionizing the way patient care is delivered and managed. This paradigm shift brings with it a multitude of opportunities for improved efficiency, accessibility, and quality of care. However, it also introduces a host of challenges, chief among them being the imperative need for robust security measures to safeguard sensitive patient data and fortify the healthcare infrastructure against the ever-looming threat of cyber attacks. “Healthcare in the Digital Era” serves as a comprehensive exploration of the intricacies involved in navigating this complex terrain. At its core, the chapter meticulously examines the interplay between technology and healthcare systems, shedding light on the vulnerabilities inherent in the digital advancements that have become integral to modern healthcare delivery.