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Schueffel P: Decentralized Finance

Decentralized Finance

The Technology-First Revolution in Private Banking

Global Energy Law and Policy

This book provides a multi-jurisdictional analysis of the role of law in accelerating the development of floating offshore wind energy. With ongoing technological advancements in the context of the energy transition, floating offshore wind represents a significant advancement in the global transition towards sustainable energy. Debates around the inherent ecological tensions raised by fixed-bottom offshore wind turbines, as well as the value of deeper offshore wind exploration, are considered alongside unanswered questions on the complexity of the marine environment and its governance in relation to the deployment of floating offshore wind energy. Other questions focus on marine spatial planning, licensing and permitting procedures, and the safety of installing and maintaining complex offshore energy infrastructure. Although these issues partially coincide with those related to traditional bottom-fixed installation, the book provides an opportunity to test the extent to which traditional legal and regulatory strategies may or may not be suited to the fast-growing deployment of floating offshore wind energy. Written by experts across multiple jurisdictions where floating projects are being developed, the book unlocks new thinking on regulatory modelling and design at a time when floating wind is expected to resolve the complexity of the Energy Quadrilemma.

Global Insights

The Law and Policy of Floating Offshore Wind

The Fight for the Future of Work

We Are Not Machines

Artificial Intelligence and the Rule of Law

This book offers a timely examination of AI regulation in the era of Industry 5.0, where innovation must be balanced with human well-being, sustainability, and responsible governance. It explores how artificial intelligence is transforming healthcare, environmental stewardship, corporate governance, digital commerce, and emerging technologies while creating new regulatory, ethical, and societal challenges. As AI increasingly influences critical decisions across healthcare systems, innovation ecosystems, educational institutions, and business environments, policymakers and practitioners face growing questions regarding accountability, transparency, safety, trust, privacy, and human rights. Addressing these concerns, this edited volume brings together leading scholars and experts to examine the evolving legal, ethical, and governance frameworks needed to support responsible AI adoption.The chapters cover a diverse range of contemporary topics, including AI-enabled drug discovery, healthcare decision-making, medical liability, patient rights, sustainability governance, climate and environmental regulation, AI in education, intellectual property and innovation, corporate governance, e-commerce regulation, cybersecurity, regulatory sandboxes, and explainable AI in high-risk sectors. Together, these contributions provide interdisciplinary perspectives on how AI can be developed and governed in ways that foster innovation while protecting societal interests.A central theme of the book is the Industry 5.0 vision of human-centric technological progress. The contributors highlight how effective regulation can promote trustworthy AI systems that support sustainable development, strengthen innovation, encourage responsible technological deployment, and create long-term value for society. By bridging law, policy, governance, healthcare, sustainability and technology studies, this volume offers valuable insights into the opportunities and challenges of AI-driven transformation. It provides a forward-looking resource for understanding how regulatory frameworks can enable innovation while ensuring that technological advancement remains ethical, inclusive, and sustainable.This book is intended for researchers, academics, policymakers, regulators, healthcare professionals, technology practitioners, industry leaders, graduate students, and readers interested in artificial intelligence, Industry 5.0, sustainability, healthcare innovation and emerging technologies.

Healthcare, Sustainability, Innovation and Emerging Technologies

AI Regulation in Industry 5.0

Corporate Governance in the Age of Artificial Intelligence

Bridging Technology and Purpose

AI for Financial Sustainability

Algorithmic Management: Artificial Intelligence and the Transformation of Organizations is the first comprehensive textbook designed to prepare management students to engage critically and responsibly with artificial intelligence in organizations. Bringing together classical management theory, contemporary AI applications, and systematic power analysis, the book equips future managers to both harness AI's potential and confront its risks.Structured in three parts, the book begins with foundational frameworks-socio-technical systems theory, technology and society perspectives, and core management theories reinterpreted for the AI era. It then examines applications across all major management functions-Marketing, HR, Finance, Operations, Supply Chain, and Strategy-using over 30 real-world case studies drawn from different industries, parts of the world, and types of organizations from multinational corporations to nonprofits and social ventures. The final section addresses organizational design, leadership, governance, and the future of algorithmic organizations. Throughout, pedagogical features-learning objectives, vignettes, discussion questions, toolkits, and ethical dilemmas-make the book classroom-ready and adaptable across MBA, undergraduate, and executive education settings. The text advances an approach of pragmatic criticality: AI is neither celebrated uncritically nor rejected outright but treated as a socio-technical phenomenon requiring managerial judgment, ethical reflection, and contextual awareness.By bridging management theory, functional practice, and critical perspectives, this book fills a critical market gap and is positioned to become the definitive teaching resource on AI and management for business education worldwide.

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

The Hotel Development and Management Guide is an accessible, global, end-to-end reference book that illustrates how hotel concepts are conceived, financed, branded, operated and governed, connecting strategy, finance and department-level operations into one integrated framework.Readers gain a clear, decision-grade understanding of how hotel value is created and sustained across the full lifecycle. The book integrates feasibility, brand and operator strategy, departmental operations, asset management, and emerging forces such as AI and ESG, using practical frameworks, checklists, and financially grounded analysis to support real-world decision-making. Case studies are integrated throughout from hotel owners around the world to showcase real life situations and issues.This invaluable text offers an integrated, one stop professional-level reference for hotel owners and investors, as well as upper-level undergraduate, postgraduate, MBA and executive-education students studying hospitality management and hotel operations management.

The Hotel Development and Management Guide

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

Emerging Trends in Science, Innovation and Business

"Federated Learning Applications in Healthcare: Empowering Wellness" is an ambitious and timely endeavor aimed at providing a comprehensive exploration of the intersection between federated learning and healthcare.Federated learning, a decentralized machine learning approach that enables model training across multiple devices or institutions without centralized data sharing, holds immense promise for revolutionizing healthcare by facilitating collaboration, preserving patient privacy, and improving healthcare outcomes. This book aims to unravel the complexities of federated learning and demonstrate its transformative potential in various healthcare applications. Through a combination of theoretical insights, practical guidelines, case studies, and real-world examples, the book aims to empower readers to harness the potential of federated learning to address pressing healthcare challenges effectively.Whether readers are healthcare professionals seeking to leverage data-driven approaches to improve patient care, researchers exploring innovative solutions at the intersection of machine learning and healthcare, policymakers grappling with regulatory and ethical considerations, or technologists developing cutting-edge healthcare solutions, this book serves as a valuable resource for understanding, implementing, and advancing federated learning in healthcare.

Decentralized Finance

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