<div class="raw-html-embed"><a href="https://staempflirecht.ch/studium">JUS-Studium? Das Fachwissen von Expertinnen und Experten des Schweizer Rechts – griffbereit!</a></div>

Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Aboverträge Kündigen

Résiliation d’abonnement

Vertrag widerrufen

Résiliation de contrat 

Datenschutz

Protection des données

Impressum

Mentions légales

Barrierefreiheit

Accessibilité

Zahlung und Lieferung

Paiement et livraison

Libra

Was ist Libra?

C'est quoi Libra ?

Kostenlos testen

Tester gratuitement

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Aktienrecht

Droit des sociétés anonymes

Publikationen

Publications

Literatur

Digitales Angebot

Bücher

Livres

Buchreihen

Collections

Onlinemodule LEXIA

Modules en ligne LEXIA

recht.ch

Studienliteratur

Littérature pour les études

Swisslex

Dienstleistungen

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Open Access Policy

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Unser Magazin

Notre magazine

Vision und Mission

Vision et mission

Partner

Partenaires

Unternehmenskultur

Culture d'entreprise

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Sortiment & Suche

Catalogue & Recherche

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Fachkatalog Recht

Catalogue de droit

Tracking Tourism Patterns and Improving
Travel Experiences With Innovative Techn

Tracking Tourism Patterns and Improving Travel Experiences With Innovative Technologies

Translational Systems Sciences

This book is the first to present knowledge systems as an integrative framework that unifies systems thinking and knowledge management into a coherent approach for understanding, designing, and sustaining collective intelligence. It distinguishes itself from existing work by shifting attention away from isolated tools, information assets, or learning initiatives and toward the systemic conditions under which knowledge becomes cumulative, actionable, and resilient. At the heart of this book is the concept of the knowledge system: an adaptive arrangement of people, processes, technologies, and institutions through which knowledge is generated, integrated, and used over time. Rather than treating knowledge-related challenges as separable technical, organizational, or human problems, the book shows how learning and performance depend on the coherence of structures, practices, and feedback loops that connect them. Drawing on conceptual analysis, historical and organizational cases, empirical studies, and methodological development, the book identifies recurring patterns that explain both sustained success and persistent failure across organizations and collective settings.Its central contribution lies in a design-oriented methodology that enables readers to move beyond diagnosis toward deliberate cultivation and renewal of knowledge systems. This methodology emphasizes reflection, experimentation, and developmental interpretation, supporting long-term learning rather than short-term optimization. By providing a unifying conceptual language and a practical orientation for use, the book advances research in systems thinking and knowledge management while equipping readers to design more adaptive, human-centered, and resilient forms of collective intelligence under conditions of complexity and uncertainty.

Structures for Adaptive Collective Intelligence

Knowledge Systems

Build an AI security operating model that manages risk, strengthens governance and enables AI to scale securely. AI Risk Management is a practical guide for AI risk owners, GRC managers, AI governance managers and technology risk professionals responsible for managing the security risks of AI. Written by security expert Rafah Knight, this book shows how to make AI security operational, measurable and embedded into existing business processes. It provides practical guidance on establishing ownership and accountability for AI risk, designing effective governance structures, implementing policies and controls and managing third-party AI vendor exposure. Drawing on real-world examples from financial services, retail, the public sector and healthcare, learn how to: - Build an effective AI security operating model - Establish clear ownership and accountability for AI risk - Design AI governance policies, controls and assurance processes - Measure AI security and operational risks effectively &gt;AI Security gives you the practical structures and controls to operationalize AI assurance, strengthen AI governance and support secure AI adoption at scale. Themes include: AI security, AI risk management, AI governance, GRC, AI assurance, third-party AI risk

How to Scale AI Securely

AI Risk Management

A dramatic new future of work in which managers assemble exactly the expertise they need—within minutes. A USA Today Bestseller Thinkers50 Talent Award Shortlist The Next Big Idea Club: “October 2025 Must-Read Books” 2026 PROSE Award Winner: Business, Finance, and Management 2026 Axiom Business Book Awards: Gold Medal, Business Disruption/Reinvention Shortlisted for the 2026 getAbstract International Book Award, Business Impact category "If you’ve ever wished you could assemble your version of The Avengers at work, this book will help you make it happen.” —Adam Grant, #1 New York Times-bestselling author of Think Again and host of the podcast Re:Thinking Gone are the days of static organizational charts and staffing based on the manager’s rolodex and intuition. Now you can recruit any expertise you need from a global online network within minutes: an on-demand, on-the-spot expert at the exact moment that you need their help. You can right-size their involvement, too; some of those experts give a second opinion or a moment of brainstorming, whereas others join as full-fledged team members for a sustained collaborative effort. This is the future promised by flash teams, a model that The New York Times has already praised for its “revolutionary potential”: a world where experts are available anytime and everywhere, where remote work has become a norm, and where AI is in the loop to guide team decisions. In Flash Teams, award-winning management scholar Melissa Valentine and computer scientist Michael Bernstein chart the opportunities of flash teams and navigate the challenges that teams and managers will face. They distill lessons from their own work assembling and managing flash teams on demand that every manager can learn from so they can successfully use flash teams in their own organizations. Drawing on original research and industry examples, this book will help readers to: <ul><li>Recognize and source needed expertise within minutes</li><li>Anticipate and plan team designs with AI</li><li>Redesign team structures on the fly as projects evolve</li></ul> Industries are already being transformed by this new approach to teaming. Flash Teams arms leaders, managers, and entrepreneurs with the tools they need to accomplish their goals with confidence, speed, and agility.

Leading the Future of AI-Enhanced, On-Demand Work

Flash Teams

The MIT Press Essential Knowledge series

What lies underneath digital platforms—their invisible architecture and governance that determine everything visible. Every time you unlock your phone, stream a show, or start your car, you’re entering a world shaped by thousands of engineering decisions you’ll never see. Most platform conversations fixate on their visible canopy—business models, user experience, competitive strategy—the “leaves,” in a sense. Platforms by Amrit Tiwana excavates their roots. The book begins with a simple DNA test that separates authentic from faux platforms, then traces the forces turning tractors, pacemakers, and elevators into platforms. Using the platform trinity, the author explores principles behind why platforms behave so differently, why superior technology doesn’t always win, and why—unlike products that reach a final form—platforms never stop evolving. From there the book explains platforms’ two hidden root systems: The first system, architecture, shows how Lego-like “modular” design, frozen interfaces, and prefab building blocks let thousands of outsiders contribute pieces that snap into colossal systems. The second system, governance, describes where architecture confronts human behavior. Elegant architecture flails with poor governance, so both demand discipline.

What lies underneath digital platforms—their invisible architecture and governance that determine everything visible. Every time you unlock your phone, stream a show, or start your car, you’re entering a world shaped by thousands of engineering decisions you’ll never see. Most platform conversations fixate on their visible canopy—business models, user experience, competitive strategy—the “leaves,” in a sense. Platforms by Amrit Tiwana excavates their roots. The book begins with a simple DNA test that separates authentic from faux platforms, then traces the forces turning tractors, pacemakers, and elevators into platforms. Using the platform trinity, the author explores principles behind why platforms behave so differently, why superior technology doesn’t always win, and why—unlike products that reach a final form—platforms never stop evolving. From there the book explains platforms’ two hidden root systems: The first system, architecture, shows how Lego-like “modular” design, frozen interfaces, and prefab building blocks let thousands of outsiders contribute pieces that snap into colossal systems. The second system, governance, describes where architecture confronts human behavior. Elegant architecture flails with poor governance, so both demand discipline.

Platforms

Research in Creative Writing

Writing Human in the Age of AI

Mastering Business Analytics

Data Analytics for Strategic Decisions explores how businesses can harness the power of data, technology, and analytics to make strategic decisions that drive growth and innovation. It provides a comprehensive guide to integrating business strategy with data-driven methodologies, offering practical tools and insights for modern organizations.Readers will gain a deep understanding of how to transform data into actionable insights, improving decision-making across marketing, finance, operations, and strategy. The book combines theoretical foundations with real-world applications, including case studies, datasets, and practical exercises. It also addresses emerging topics like AI, predictive analytics, and data governance, ensuring readers are equipped with cutting-edge knowledge and skills.This book is designed for undergraduate and master's students in Business Administration, Business Analytics, and Digital Transformation, as well as professionals seeking to enhance their data-driven decision-making capabilities. It is ideal for courses in Business Analytics, Data Analytics for Business, Business Intelligence, and Digital Transformation.The book includes supplementary materials such as datasets for practical exercises, case studies, and discussion questions, making it suitable for both classroom and online learning environments.

Fundamentals of Business Technology and AI Integration

Data Analytics for Strategic Decisions

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

Machine Learning, Artificial Intelligence, and Digital technologies in agritech and food supply chains have significantly enhanced production efficiency and transparency in recent years. Together, they can empower stakeholders across the supply chain to operate more efficiently, transparently, and intelligently, transforming traditional supply chains into more integrated and responsive networks. This two-volume research work makes a broad study of agritech food supply chains.Including contributions from a global team of scholars, this second volume is focused on applications of technology, from farming and harvesting to processing, storage, and transport, and offers a detailed analysis of these applications and their implications for academic research. It will be of great interest to researchers, scholars, and graduate students in the fields of agricultural science, innovation, and supply chain management.Sneha Kumari 
 is an Associate Professor at Symbiosis School of Economics, India. She is an Associate Researcher at Circular Economy and Territories for the European Chair of Excellence. She received the Scientific High-Level Visiting Fellowship from The French Institute in India, Embassy of France in India. Her primary interests are big data, agriculture supply chain, and agriculture value chain.
 V G Venkatesh
 is a Professor at EM Normandie Business School, France. He is a global supply chain enthusiast and consultant with more than two decades of industry and academic experiences at global institutions. He is the active researcher with editorial positions of leading journals, industry board member and keynote speaker of leading forums.
 Jorge Hernández
 is a Full Professor (Professor Titular) at Adolfo Ibáñez University, Chile. His main research areas are modelling, simulation and optimization of enterprise decision-making processes in operations and supply chain management domains. He regularly collaborates with the Ministry of Agriculture of Chile and is also Honorary Professor at the University of Liverpool in the United Kingdom.
 Zakaria El Hathat 
 is an Assistant Professor at Rabat Business School, International University of Rabat, Morocco. His research examines information technology, blockchain, and artificial intelligence (AI). He also received the 2024 PhD Dissertation Award from the Center for Applied Research and Innovation in Supply Chain–Africa (CARISCA).

Machine Learning, Artificial Intelligence, and Digital technologies in agritech and food supply chains have significantly enhanced production efficiency and transparency in recent years. Together, they can empower stakeholders across the supply chain to operate more efficiently, transparently, and intelligently, transforming traditional supply chains into more integrated and responsive networks. This two-volume research work makes a broad study of agritech food supply chains.Including contributions from a global team of scholars, this second volume is focused on applications of technology, from farming and harvesting to processing, storage, and transport, and offers a detailed analysis of these applications and their implications for academic research. It will be of great interest to researchers, scholars, and graduate students in the fields of agricultural science, innovation, and supply chain management.

Food Supply Chains

Digitalisation and Artificial Intelligence in Agritech and Food Supply Chains, Volume II

The Promise and Peril of Navigating Our Agentic AI Future

When Machines Act

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;

Artificial Security and the Politics of Hype in the EU

This open access book critically analyses a wide range of consumer law issues generated or exacerbated by the Internet of Things. The Internet of Things challenges many of the dichotomies which have shaped current laws: goods-services, hardware-software, tangible-intangible, online-offline. The book focuses on 4 specific challenges: things-as-service, liability, bricking of physical devices through software control, and the potential for enhanced personalisation, especially for digital assistants. The chapters analyse specific applications such as smart homes, connected cars, and consumer wearables with a view to providing innovative solutions to the new challenges posed by the Internet of Things, and to steer the development of the Internet of Things in a fairer direction. As well as offering an important analysis of the potential for smart consumer laws in the Internet of Things, the book also provides important insights into the growing divergence between Germany's and the UK's consumer laws since Brexit. The ebook editions of this book are available open access under a CC BY 4.0 licence on bloomsburycollections.com. Open access was funded by UKRI (Arts and Humanities Research Council) and the German Research Foundation (DFG).

Lessons from Germany and the United Kingdom

From Smart Technologies to Smart Consumer Law

Organizations have been promised that AI will revolutionize them. But what ends up happening is that AI ends up being introduced like standard software. When productivity is the only focus of enterprise AI, the real insights that AI can offer prove elusive. This book shows a better way. Written by leading AI expert and keynote speaker Richard Foster-Fletcher, The AI Gap explains why enterprise AI in most organizations isn't producing the insights that were promised. AI enters as a promise of new intelligence but passes through the procurement, security, legal and compliance systems built for standard software. These systems strip AI of its potential. This book traces how this happens, why it persists and what organization must change to capture the insights AI can deliver. This book will explain why the way AI is implemented keeps restricting its potential and what organization must change to capture the true value of AI. AI works best when it and employees are given the freedom to explore, challenge ideas and use AI in new and create ways. This book is about developing the structures, the environment, and the culture that allows AI to flourish in an organization as a key driver of insights rather than a simple productivity improvement.

How to Fix Enterprise AI and Get Real Insights

The AI Gap

Tracking Tourism Patterns and Improving Travel Experiences With Innovative Technologies

Weitere Titel zum Thema