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Driving Business Success Through
Eco-Friendly Strategies

Driving Business Success Through Eco-Friendly Strategies

The Fight for the Future of Work

We Are Not Machines

Research in Creative Writing

Writing Human in the Age of AI

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

The next choice we make is the last chance we have. Ten thousand years ago, wild cats wandered into a human grain store. Over generations, gorged with a plentiful supply of prey, they traded their raw instincts for a life of dependency as our household pets. Today, domestic cats are more comfortable than ever but they can no longer hunt effectively. Their brains are 16% smaller than their distant ancestors. They are domesticated. AI is turning the modern world into a cognitive grain store. And we are the cats. In this groundbreaking and vital book, leading AI researcher and campaigner James F. Ryan charts our relationship with transformative technologies - from writing to AI - and explains why this time it's different. Large language models like ChatGPT are not just tools, but are remaking our brains and eroding our ability to think. From the workplace and our relationships to our schools and universities, we face an urgent battle to safeguard human thought. The Domestication sets out the evidence, the imposing challenge we face, and how we respond.

A Story of AI and the Human Mind

The Domestication

Demis Hassabis, DeepMind and the Quest for Superintelligence

The Infinity Machine

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

Artificial intelligence has crossed the liability Rubicon. It is no longer a backend IT experiment governed by soft ethics, voluntary frameworks, and vague policy statements; it is a material financial asset driving enterprise revenue and unprecedented legal exposure. As we transition into Industry 5.0, algorithms are making autonomous, consequential decisions at machine speed. Yet, corporate boards and risk committees are attempting to govern these gigahertz systems using static compliance checklists designed for a slower, simpler era. The result is a looming crisis of algorithmic discrimination, regulatory friction, and catastrophic reputational decay. When an opaque, black-box model hallucinates financial advice or leaks proprietary trade secrets, the ensuing failure cascade can destroy billions in market capitalization overnight.AI Governance and Risk Management provides the definitive, boardroom-ready blueprint for surviving the fragmented global regulatory dragnet. This book dismantles the illusion of traditional "Human-in-the-Loop" oversight, proving that true algorithmic safety requires hard, architectural constraints. Drawing on decades of technology operations and academic leadership, the text translates classical financial auditing principles into executable machine logic. The author brings unparalleled practical experience-from supporting six Silicon Valley startups in client-facing roles to develop computer vision use cases, to leading over 30 continuous improvement projects for Cisco Systems. Having authored foundational texts on Segregation of Duties (SOD) and Hierarchical SOD two decades ago, and backed by 15 years of teaching financial risk management, this expertise culminates in the AI Integrity Framework (AIIF). This Hamiltonian approach empowers organizations to embed continuous improvement cycles and strict SOD directly into their deployment pipelines.Readers will discover how to engineer automated "Build Breaks," architect deterministic kill switches, and secure the unstructured data supply chain against copyright contamination and intellectual property theft. By shifting from reactive public relations to proactive "Governance as Code," Chief Risk Officers, legal counsel, and audit committees can mathematically prove fiduciary control to regulators across overlapping jurisdictions, from California to the European Union.Authored by a veteran industry practitioner, creator of five previous Wiley &amp; Sons texts, and current developer of the Industry 5.0 and AI curriculum at Santa Clara University, this release is not a theoretical ethics manual. It is an uncompromising operational survival guide. It provides the exact structural tools necessary to transform artificial intelligence from an unquantified off-balance-sheet liability into a fully auditable, legally defensible, and highly profitable enterprise asset.

The AI Integrity Framework (AIIF) for Enterprise Control and Regulatory Compliance

Auditable AI Governance and Risk Management

This book provides a concise and interdisciplinary introduction to sustainable development, examining its historical evolution, legal foundations, and contemporary governance challenges. It traces the emergence of sustainability from early ecological warnings to its institutionalization through international frameworks, demonstrating how sustainable development has become a central organizing principle of global policy.Organized around seven thematic chapters, the book covers the conceptual and legal foundations of sustainability, its core governance principles, socio-technical transition pathways, property and commons theory, global sustainability finance, and the implications of digitalization and artificial intelligence for development. Each chapter integrates legal analysis, governance theory, and, in some cases, real-world case studies to show how sustainability principles move from rhetoric to enforceable norms. Key features include accessible chapter abstracts, a comprehensive list of abbreviations, and a structured list of figures supporting visual learning. The book approaches sustainable development not as a technical toolkit but as a political and institutional challenge requiring systemic reform.The volume is intended for undergraduate and postgraduate students in environmental studies, law, governance, economics, and public policy, as well as researchers, practitioners, and policymakers engaged with sustainability transitions, international environmental law, and development governance.

Governance, Law, and Global Transitions

A Concise Introduction to Sustainable Development

Why the career ladder you were climbing has come apart, and what to do about it.Your job title may still be intact. The meetings continue; the monthly presentation still needs producing. But AI is already taking on the reporting, coordination, research and analysis work that once justified whole teams. The change seldom arrives with a dramatic announcement. It's more insidious than that: the hire is paused, the contractor is not renewed, the promotion evaporates.Written by someone building the tools behind this shift, The Next Rung looks at the knowledge-work middle: project leads, analysts, account managers, operations teams and managers whose jobs depend on orchestration. It traces the pressure from boardroom economics to kitchen-table arithmetic, and asks what happens when professional incomes and mortgages are exposed at the same time.Inside, you'll find: <ul> <li> The roles AI is quietly hollowing out </li> <li> Why the 'junior grind' is disappearing </li> <li> The 80/20 Collapse in professional work </li> <li> A practical audit of your exposure and runway </li> <li> The human capabilities that still matter </li> <li> Routes towards trades, portfolio work and community enterprise </li> <li> What AI's gains mean for housing, welfare and inequality. </li> </ul>This is a clear-eyed notebook from inside the transition, focused on judgement, resilience and building work with more human value. It will let you know where you stand, strengthen your options, and help you make your next move before the ladder disappears beneath you.

Why AI is breaking the career ladder, and how to find your next step

The Next Rung

Build category leadership by combining community momentum, AI-enabled strategy and faster brand decision-making. Marketing at Velocity is a strategic implementation guide for senior marketing leaders who want to build brands that compound value, strengthen market position and keep earning relevance in fast-moving categories. Written by brand and marketing strategist Arnt Eriksen, who brings over 30 years of experience, this book connects proven brand-building principles with the systems shaping the next decade of growth. It translates AI, community dynamics, decentralized ownership and strategic speed into practical marketing strategy for enterprise and growth-stage organizations. Drawing on field-tested frameworks including the One Rule Formula, Velocity Loops and the Decentralized Brand Scorecard, this book equips leaders to: - Build compounding brand momentum Apply AI to improve precision - Turn community into strategic advantage - Strengthen leadership through frameworks - Implement practical actions quickly Featuring real-world examples from Nike, Adidas, Lufthansa, Starbucks and other major organizations, Velocity Marketing gives senior marketing professionals the tools to lead with confidence, accelerate learning and build brands that never stop earning their place. Themes include: brand strategy, AI marketing, community-led growth, category leadership, decentralized brands, marketing transformation

B2B Brand Building, Momentum and Category Leadership

Marketing at Velocity

AI and quantum computing are two disruptive forces about to push financial services and the banking industry over the edge, demanding an unprecedented transformation. They are not fleeting trends but fundamental disruptors that will reshape the core of banking and finance. Authored by a senior Swiss banking technology executive, this practical guide helps board members and senior leaders turn disruption into a disciplined strategic agenda. It offers a rare insider perspective and a roadmap for navigating these seismic shifts. Bridging the gap between technological innovation and practical application, this book equips leaders with the tools to address the challenges and opportunities posed by AI and quantum computing. It features a thorough review of the latest business opportunities and threats associated with these technologies, alongside foresight-based strategic decision frameworks to guide prioritisation. Real-world case studies and an online companion with 125 AI use cases tailored for banks provide actionable insights. It also introduces an original AI Adoption Maturity Model and a Hybrid Enterprise Reference Architecture to ensure safe integration of internal systems with external frontier models. Finally, it provides two detailed multi-year roadmaps, offering a clear path to harness AI's potential and to prepare for a post-quantum future through crypto agility.Rather than offering abstract predictions or generic solutions, this book presents financial-services leaders with the frameworks, choices, and implementation path they need to act with confidence at a moment when waiting is no longer an option.

Evolutions at the Bleeding Edge

How AI and Quantum Computing Will Make or Break the Bank

Contributions to Management Science

This edited volume explores how managerial perspectives can shape meaningful and satisfying organizational experiences in the context of evolving structures and sustainability challenges. While management research often draws on organizational theories such as institutional or agency theory, the exchange between organization studies and sustainability remains limited. This book bridges that gap by using sustainability as a critical lens through which to understand organizational behavior, legitimacy, and long-term strategy.Addressing topics such as corporate social responsibility (CSR), corporate citizenship, sustainability strategy implementation, and the management of complex multi-stakeholder relationships, this book emphasizes the need for scholarship that addresses environmental, organizational, and socio-economic issues across multiple levels, advocating for solutions that are integrated, inclusive, and transformative.

Models and Practices

Sustainable Organizations

Driving Business Success Through Eco-Friendly Strategies

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