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AI Innovations in Service and Tourism
Marketing

AI Innovations in Service and Tourism Marketing

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 As AI accelerates change and workforce expectations shift, this book shows how to replace outdated resilience models with a more dynamic, future-ready approach.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

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

Deliver measurable business impact by transforming customer advocacy into a strategic driver of growth, retention, and executive influence. Customer Advocacy That Counts is the definitive guide for customer advocacy, customer marketing, and customer experience leaders who need to prove value, secure stakeholder buy-in, and connect advocacy initiatives to business performance. Written by Alison Bukowski, this practical and evidence-based playbook addresses one of the biggest challenges facing advocacy professionals today: demonstrating strategic impact in environments where influence often matters more than authority. Drawing on frameworks, diagnostic assessments, stakeholder management tools, and executive communication templates, Alison Bukowski provides a structured approach to aligning advocacy with organizational priorities. Featuring insights and real-world examples from leaders at Google, Microsoft, Siemens, Adobe, Freshworks, Forrester, and Optum/UnitedHealth Group, the book shows how high-performing advocacy teams translate customer engagement into outcomes that executives understand and support. You'll learn how to: - Measure advocacy impact using meaningful business metrics - Build executive influence without direct authority - Align advocacy programs with revenue and retention goals - Communicate value using leadership-focused business language &gt;Customer Advocacy That Counts equips you with the tools, frameworks, and leadership mindset needed to turn customer advocacy into a measurable source of growth and competitive advantage. Themes include: customer advocacy, customer marketing, customer experience, stakeholder management, customer retention, executive influence, business impact measurement, advocacy strategy, revenue growth, customer-led growth

How to Build Influence and Drive Customer Experience Results

Customer Advocacy That Counts

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.

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·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Einführung in die Customer Journey und Kaufentscheidungen·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Touchpoints ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Customer Journey Mapping·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Gestaltung und Optimierung der Customer Journey·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Zukünftige Entwicklungen und Trends in der Customer Journey·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Customer Journey Management und die organisatorische Verankerung

Modelle, Methoden und Management kundenzentrierter Interaktionsprozesse

Grundlagen der Customer Journey

AI Analytics for Business Intelligence

This Palgrave Pivot develops an interdisciplinary approach to household financial decision-making by integrating behavioral finance, consumer finance, financial planning, and human-centered artificial intelligence. Moving beyond investor- and market-focused traditions, it situates financial risk tolerance, financial stress, and dynamic behavioral signals within the lived contexts of households, advisors, and institutions. The book reconceptualizes risk tolerance as a time-varying behavioral construct, positions financial stress as a core mechanism shaping decision-making and well-being, and introduces a framework of behavioral signals, including consumer complaints, sentiment, and market mood, that may precede price movements.It further examines how machine learning and AI can interpret these signals while reshaping financial advice, alongside their methodological limits and ethical implications for accountability and client autonomy. By linking psychological states, behavioral data, and advisory practice, the book offers a structured research agenda for behavioral personal finance and contributes to debates on financial well-being, vulnerability, and technology-mediated decision-making. It will be of interest to scholars and advanced students in behavioral finance, financial planning, consumer science, and decision psychology, as well as practitioners and policymakers concerned with AI and household financial behavior.Wookjae Heo
 is Associate Professor of Consumer Science at Purdue University. His research focuses on financial risk tolerance, financial stress, consumer financial behavior, and the application of machine learning and natural language processing in personal finance. He has published widely in leading journals in consumer finance and financial planning and is known for advancing behavioral personal finance as an interdisciplinary field linking household decision-making, well-being, and human-centered AI.

This Palgrave Pivot develops an interdisciplinary approach to household financial decision-making by integrating behavioral finance, consumer finance, financial planning, and human-centered artificial intelligence. Moving beyond investor- and market-focused traditions, it situates financial risk tolerance, financial stress, and dynamic behavioral signals within the lived contexts of households, advisors, and institutions. The book reconceptualizes risk tolerance as a time-varying behavioral construct, positions financial stress as a core mechanism shaping decision-making and well-being, and introduces a framework of behavioral signals, including consumer complaints, sentiment, and market mood, that may precede price movements.It further examines how machine learning and AI can interpret these signals while reshaping financial advice, alongside their methodological limits and ethical implications for accountability and client autonomy. By linking psychological states, behavioral data, and advisory practice, the book offers a structured research agenda for behavioral personal finance and contributes to debates on financial well-being, vulnerability, and technology-mediated decision-making. It will be of interest to scholars and advanced students in behavioral finance, financial planning, consumer science, and decision psychology, as well as practitioners and policymakers concerned with AI and household financial behavior.

Risk Tolerance, Financial Stress, and Human-Centered AI

Behavioral Personal Finance

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

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

Predictable Profits

The Promise and Peril of Navigating Our Agentic AI Future

When Machines Act

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

An in-depth exploration of the network of agencies involved in policing child pornography—and what the future of security and care looks like. Facing the Child investigates the technocratic expertise in the policing of child sexual abuse material (CSAM). Mitali Thakor argues that CSAM has come to be framed as primarily a digital problem, to be resolved digitally, thereby unleashing a new form of corporatized policing helmed by global technology companies. Ambitious in scope, this multi-sited global ethnography draws on four years of original fieldwork and interviews with technology companies in the US, the United Nations in Bangkok, Thai and Dutch NGOs, and law enforcement in the US and the Netherlands. The book argues that in the 2010s, a network of technology companies, NGOs, and law enforcement created the notion of a “virtual child” in need of techno-solutionist saving to justify a vast expansion of surveillance technologies. The book examines how pervasive myths of child abuse online were exploited to serve the aims of seemingly disparate groups, from Christian neo-abolitionists to NGOs conducting virtual sting operations. It is this complex relationship between the care and securitization needed to fix the child victim as an object of data, concern, and rescue that the book explores.

An in-depth exploration of the network of agencies involved in policing child pornography—and what the future of security and care looks like. Facing the Child investigates the technocratic expertise in the policing of child sexual abuse material (CSAM). Mitali Thakor argues that CSAM has come to be framed as primarily a digital problem, to be resolved digitally, thereby unleashing a new form of corporatized policing helmed by global technology companies. Ambitious in scope, this multi-sited global ethnography draws on four years of original fieldwork and interviews with technology companies in the US, the United Nations in Bangkok, Thai and Dutch NGOs, and law enforcement in the US and the Netherlands. The book argues that in the 2010s, a network of technology companies, NGOs, and law enforcement created the notion of a “virtual child” in need of techno-solutionist saving to justify a vast expansion of surveillance technologies. The book examines how pervasive myths of child abuse online were exploited to serve the aims of seemingly disparate groups, from Christian neo-abolitionists to NGOs conducting virtual sting operations. It is this complex relationship between the care and securitization needed to fix the child victim as an object of data, concern, and rescue that the book explores.

Surveillance, Care, and the Policing of Violent Digital Images

Facing the Child

Turn AI investment into scalable business impact by enabling your workforce to build the solutions they actually need. From AI Users to Solution Builders is a strategic guide for senior AI, technology, and transformation leaders who want to move beyond underperforming, centralized AI initiatives, and unlock real enterprise value. As organizations struggle to translate AI into measurable results, this book shows how shifting from top-down deployment to workforce-led solution building creates faster adoption, stronger ROI, and sustained innovation. Written by experienced AI leader Wei Manfredi, this book combines strategic insight with practical execution. It draws clear parallels between failed digital transformation efforts and current AI adoption challenges, while demonstrating how natural language interfaces are reshaping access to AI. By enabling non-technical professionals to design their own tools, organizations can embed AI directly into workflows, decision-making, and daily operations. You'll learn how to: - Shift from centralized AI models to workforce-driven innovation - Enable employees to build AI solutions for real workflows - Design scalable infrastructure for AI solution development - Apply change management to overcome resistance and drive adoption &gt;Featuring real-world examples from organizations including Lululemon, Google, Oracle, and JPMorgan Chase, this book provides a proven framework for embedding AI into everyday collaboration, accelerating innovation, and future-proofing your organization's competitive advantage. Themes include: AI strategy, AI adoption, workforce transformation, AI governance, enterprise AI, change management

Scaling AI Across Your Organization

From AI Users to Solution Builders

AI Innovations in Service and Tourism Marketing

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