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AI Innovations in Service and Tourism
Marketing

AI Innovations in Service and Tourism Marketing

An executive operating system for leading AI-driven strategic transformation Intelligence as a Commodity: Human Judgment as a Competitive Advantage delivers a structured leadership playbook for executives navigating AI adoption. Written by Rajeev Kapur, who built a billion-dollar business at Dell, and Jason Hunter, a senior consultant for the Blue Ocean Strategy Network, the book moves beyond AI trends to provide actionable frameworks for strategic foresight, organizational redesign, and ethical AI governance at the enterprise level. The book introduces flagship tools including HorizonAI for scenario-based strategic planning, HealthCheckAI for operational resilience assessment, and AI Deep Blue Strategy for AI-driven market innovation. Additional frameworks cover Executive Archetypes, the AI Leadership OS, AI Organizational OS, and Collective Intelligence Framework, each designed to shift organizations from reactive AI adoption to proactive, sustainable competitive positioning. Readers will also find: <ul> <li>Frameworks for assessing AI readiness and prioritizing initiatives across enterprise operations and strategy functions</li> <li>Tools for integrating human-AI collaboration while managing ethical, operational, and governance risk at scale</li> <li>Scenario-based strategic planning methods using HorizonAI to anticipate market shifts and technology disruptions</li> <li>Organizational redesign approaches for building agility and hybrid intelligence into existing leadership structures</li> <li>Guidance on embedding ethical AI governance and risk management into enterprise-wide adoption programs</li> </ul> Written for C-suite executives, directors, entrepreneurs, MBA participants, and consultants overseeing strategy, operations, and innovation, this book provides the frameworks and tools needed to lead AI-driven transformation with clear organizational design, ethical governance, and measurable business outcomes at the enterprise level.

Human Judgment as a Competitive Advantage

Intelligence as a Commodity

Equips legal professionals and stakeholders with a clear, authoritative, and practical guide to the UK legal treatment of digital payments and tokenised assets. The Law of Digital Payments explores the evolving landscape of UK financial law as it adapts to innovations in digital finance. With fintech disrupting traditional models of value exchange, legal professionals must navigate complex regulatory challenges concerning digital wallets, open banking APIs, smart contracts, decentralised finance (DeFi), and the treatment of tokenised assets under common law. This work delves into how UK courts and regulators are addressing these innovations. It provides clarity on the current legal treatment of payment tokens, security tokens, cryptoassets and non-fungible tokens (NFTs). It also investigates the impact of the Financial Services and Markets Act 2023, the Bank of England's stance on central bank digital currencies (CBDCs), and how the Payment Services Regulations and E-Money Regulations are applied to innovative business models. Drawing upon regulatory guidance, case law, and international developments, the book is designed to help practitioners, regulators, academics, and financial institutions understand and navigate the complex intersection of law and digital finance. This title is included in Bloomsbury Professional's Banking and Finance Law online service.

The Law of Digital Payments

Research in Creative Writing

Writing Human in the Age of AI

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

An unsparing challenge to conventional thinking about data regulation, showing that privacy laws choke off beneficial technologies without protecting society and individuals from harm. Ask anyone about the downsides of the digital economy, and one of the first concerns that comes to mind will be privacy. Indeed, activists and politicians increasingly talk about data privacy as though it were a fundamental human right. In this boldly contrarian rejoinder, Omri Ben-Shahar argues that many privacy laws are worse than useless. They do nothing to address the serious social problems of our data-soaked world-think, for instance, of algorithmic discrimination, concentrated platform power, or social media's impact on mental health. Meanwhile, promising digital technologies are held back by privacy regulations. Tracking devices that provide feedback on dangerous driving could cut fatal car crashes by 30 percent, yet they are prohibited in California. Facial recognition technology has already been used to rescue thousands of victims of human trafficking, yet it is largely banned in the EU. And machine-learning analysis of electronic health records would be a boon to biomedical research, but privacy rules often stand in the way. Fear of Data offers a new paradigm for the age of AI: We should think about data not in terms of individual rights but as a shared concern, like the environment. Technology's pollution of our digital commons can be remediated only through collective action. And just as we regulate factory emissions without shutting down factories altogether, so we can regulate data technologies without giving up all the good they have to offer. Drawing on the latest research and vivid real-world cases, Ben-Shahar helps us navigate the cost-benefit trade-offs that will enable a future of data-enriched flourishing.

How Privacy Panic Led Tech Regulation Astray—and How to Fix It

Fear of Data

Build an organization that adapts, evolves and performs in constant uncertainty. Workplace Agility by Natal Dank is a strategic guide for senior HR leaders, business executives and transformation leads who need to move beyond reactive change and design organizations that thrive in disruption. As AI accelerates change and workforce expectations shift, this book shows how to replace outdated resilience models with a more dynamic, future-ready approach. Introducing the Workplace Elasticity (WE) model, it explains how to align people strategy, business strategy and Industry 5.0 thinking to create organizations that can flex, stretch and re-form without losing performance. Combining strategic insight with real-world examples from companies including TomTom, Novartis and Liberty Latin America, it translates complexity into practical action. You will learn how to: - Align workforce planning with AI-enabled business strategy - Design operating models that adapt to constant change - Enable effective human-machine collaboration at scale - Build cultures that support purpose, connection and performance - Apply tools and frameworks for agile decision-making Workplace Agility equips you with the tools to lead with confidence in uncertainty, building adaptive organizations that sustain performance and competitive advantage. Themes include: workplace agility, organizational design, HR strategy, AI in business, workforce transformation, Industry 5.0

An HR Approach to Organizational Design and People Strategy

Workplace Agility

Platform Supply Chains in the AI Era

This open access book provides a systematic and in-depth analysis of the critical risks inherent in modern platform-based supply chains. Employing rigorous analytical methods, including game theory and advanced, computationally efficient simulation techniques, it delves into three core areas: operational risks, information and data risks, and quality and compliance risks. The book moves beyond traditional supply chain paradigms to address challenges unique to the platform economy. This includes the strategic threat of platforms using seller data to launch competing products, the complex trade-offs in managing third-party product quality, the impact of reactive capacity on quality decisions, and the challenge of optimizing inventory across networks of unprecedented scale. It is an essential resource for graduate students, academic researchers, and advanced practitioners in the fields of operations management, supply chain management, and information systems. The content is suitable for readers with a graduate-level understanding of these disciplines.

Risk Management

Platform Supply Chains 5

Now in paperback! Learn to launch, grow, and scale your membership business with Stu McLaren, founder of Membership.io and host of the Marketing Your Business podcast. "In a shifting world, Stu McLaren champions the transformative power of memberships, leading the way in community building and business growth." - Gabby Bernstein, #1 New York Times best-selling author of The Universe Has Your Back What if you could stop chasing one-off sales and build a business that pays you consistently, month after month? In Predictable Profits, membership expert Stu McLaren pulls back the curtain on how to create a thriving membership business that doesn't just bring in revenue-but does so predictably, allowing you to focus on what truly matters to you. Drawing on nearly two decades of membership experience, Stu shares: · Three telltale signs that you have a perfect market for a membership site · How to effortlessly attract new members-even if you don't like to "sell" · Why closing your doors will lead to faster and more explosive growth in your membership · A simple blueprint for creating irresistible content that keeps your members coming back for more · What to do in the first 30 days to triple the lifetime value of your members Predictable Profits is packed with real-life success stories, actionable insights, and all the inspiration you need to create financial stability, positive impact, and ultimate freedom. Turn what you already know, love, and do into a thriving online business.

Transform Your Business from One-Off Sales to Recurring Revenue with Memberships and Subscriptions

Predictable Profits

Useful & Usable

Dieses Lehrbuch bietet einen fundierten, praxisnahen Einstieg in die Welt der Customer Journeys. Es erklärt die psychologischen Grundlagen von Kaufentscheidungen, beleuchtet Touchpoints in digitalen und analogen Kanälen und zeigt, wie Erlebnisse entlang der gesamten Journey gesteuert und optimiert werden können.Neben etablierten Modellen und Ansätzen werden aktuelle Entwicklungen berücksichtigt, darunter datengetriebene Personalisierung, Künstliche Intelligenz, Marketing Automation sowie und AR/VR. Instrumente wie Customer Journey Mapping, Personas und Moments of Truth werden ebenso vorgestellt wie Methoden zur Analyse, Messung und Gestaltung von Customer Experiences.Die Inhalte sind didaktisch klar aufbereitet und durch Beispiele, Lernziele sowie Wissenschecks ergänzt. Das Lehrbuch vermittelt Studierenden die zentralen Grundlagen, um Kundenverhalten zu verstehen und Customer Journeys systematisch zu analysieren und zu gestalten.&nbsp;Der Inhalt<ul><li>Einführung in die Customer Journey und Kaufentscheidungen</li><li>Touchpoints</li><li>Customer Journey Mapping</li><li>Gestaltung und Optimierung der Customer Journey</li><li>Zukünftige Entwicklungen und Trends in der Customer Journey</li><li>Customer Journey Management und die organisatorische Verankerung</li></ul>&nbsp;Der AutorDr. Florian Perst
 ist Dozent und Forscher im Fachbereich Business &amp; Management mit den Schwerpunkten Marketing, Customer Journey, Customer Experience sowie digitale Transformation. Seine Forschungs- und Lehrtätigkeit konzentriert sich insbesondere auf Konsumentenverhalten, digitale Interaktionsprozesse und den Einsatz Künstlicher Intelligenz entlang der Customer Journey.

Modelle, Methoden und Management kundenzentrierter Interaktionsprozesse

Grundlagen der Customer Journey

Build a resilient, high-performing organization by integrating agentic AI into strategy, operations, and decision-making. Building an Agentic Organization is a strategic guide for senior technology, AI and business leaders responsible for delivering value from agentic AI while managing its risks. As organizations move toward human and AI collaboration at scale, leaders must balance innovation with governance, adoption, and long-term economic impact. Written by experienced AI executive Geoffrey Schaefer, this book provides a comprehensive framework for designing an agentic organization by examining strategy, governance, and economics. It explores how to define the purpose of agentic AI, align it with business objectives, and create the structures needed to support safe, scalable adoption. Addressing both opportunity and risk, it equips leaders to navigate workforce concerns, reputational exposure, and the evolving role of AI agents in enterprise environments. You'll learn how to: - Define a clear strategy for integrating agentic AI - Establish governance frameworks to manage risk and accountability - Drive workforce adoption and address resistance to AI collaboration - Assess economic value and impact of agentic AI systems - Manage reputational and operational risks from AI agent behavior Featuring real-world examples from Leidos, JPMorgan Chase, SY Partners, and OMA, this book provides a practical roadmap for embedding agentic AI into the fabric of your organization while protecting value, trust, and long-term performance. Themes include: agentic AI, AI strategy, AI governance, AI transformation, enterprise AI, risk management

AI Innovations in Service and Tourism Marketing

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