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Catalogue complet

S. J. Sanjana

From Human Bias to Machine Intelligence. An Empirical Study on Investor Behaviour and AI-Based Investment Decision Making

This innovative textbook edited by international experts in technology law and policy provides a comprehensive and accessible guide into the fast-evolving landscape of technology law and policy in the UK and the EU. The recent wave of regulatory reforms adopted by UK and EU regulators increases the complexity of Internet law as it had developed in the past decades. Recognising the ever-growing importance of artificial intelligence in today's public discourse, the textbook extends beyond traditional legal sectoral frameworks, and explores the intersection of law, technology, and public policy to describe and critically reflect on current and emerging issues in the modern information society. This exploration follows thematic areas of interest, such as adtech, privacy by design, predictive policing, and social media, while also providing accessible historical overviews of how policy has developed in specific fields including platform liability, copyright, or data protection, and case studies on key topics. The companion website provides multimedia resources to delve deeper into specific topics; introductory materials for readers that are unfamiliar with the EU legal system; and teaching resources. Law, Policy, and the Internet is an essential resource for anyone seeking to navigate the complexities of internet regulation in an era of exponential technological change.

Law, Policy, and the Internet

Lecture Notes in Operations Research

Proceedings of the International Conference on Business Analytics in Practice (ICBAP 2025), Piraeus, Greece

Advanced Data Analytics, Machine Learning and AI in Business

A Commentary

The EU Artificial Intelligence Act

Future of Business and Finance

The rise of the Internet, social media, mobile technology, IoT, artificial intelligence (AI), and Web3 has fundamentally transformed how brands engage with consumers—enabling smarter marketing capabilities, personalized user interactions, and exponential growth in revenue, influence, and data value. This book introduces the concept of Brand Digital Intelligence, a two-step framework that helps brands thrive in the digital age through digital transformation and intelligent marketing. Structured around a digital transformation roadmap, the book explores how organizations can build robust digital infrastructure, foster active user participation, and turn consumers into long-term value contributors. 
Key topics include marketing innovation, platform business models, consumer journey design, online communities, smart stores, mobile applications, AI-powered marketing, and decentralized brand strategies enabled by Web3. The book calls for a paradigm shift from traditional campaign-based marketing to intelligent, data-driven ecosystems, where private domains, users, and data become core strategic assets—powered by algorithmic decision-making and compounding flywheel effects that drive sustained growth and engagement. Extending this evolution, the book illustrates how AI-driven brand ecosystems in the Web2 era naturally progress toward autonomous, community-driven organizations in the Web3 world, enabled by tokenized incentives, digital ownership, and co-created value. 
Combining strategic frameworks, real-world case studies, and actionable insights, this book is an essential guide for marketing professionals, technology leaders, entrepreneurs, and investors seeking to master the next frontier of AI and Web3-powered brand transformation.

The rise of the Internet, social media, mobile technology, IoT, artificial intelligence (AI), and Web3 has fundamentally transformed how brands engage with consumers—enabling smarter marketing capabilities, personalized user interactions, and exponential growth in revenue, influence, and data value. This book introduces the concept of Brand Digital Intelligence, a two-step framework that helps brands thrive in the digital age through digital transformation and intelligent marketing. Structured around a digital transformation roadmap, the book explores how organizations can build robust digital infrastructure, foster active user participation, and turn consumers into long-term value contributors. Key topics include marketing innovation, platform business models, consumer journey design, online communities, smart stores, mobile applications, AI-powered marketing, and decentralized brand strategies enabled by Web3. The book calls for a paradigm shift from traditional campaign-based marketing to intelligent, data-driven ecosystems, where private domains, users, and data become core strategic assets—powered by algorithmic decision-making and compounding flywheel effects that drive sustained growth and engagement. Extending this evolution, the book illustrates how AI-driven brand ecosystems in the Web2 era naturally progress toward autonomous, community-driven organizations in the Web3 world, enabled by tokenized incentives, digital ownership, and co-created value. Combining strategic frameworks, real-world case studies, and actionable insights, this book is an essential guide for marketing professionals, technology leaders, entrepreneurs, and investors seeking to master the next frontier of AI and Web3-powered brand transformation.

Navigating the Transformation in the AI and Web3 Era

Brand Intelligence

Routledge Studies in Central and Eastern European Business and Economics

This book examines how emerging digital technologies are reshaping industrial production and national energy infrastructures. It is intended for researchers and postgraduate students seeking to understand or implement effective digital strategies in industry and the energy sector.

Energy Systems, Manufacturing, and Sustainability

The Digital Transformation of Production and Operations Management

Routledge Studies in Innovation, Organizations and Technology

Psychological and Social Implications

Artificial Intelligence in Creative Industries

Covering everything from the fundamentals of financial markets' structure to the nuances of fintech, derivatives and commodities, this textbook offers readers a comprehensive view of the functions of the global financial markets from an intuitive and hands-on perspective.Unlike traditional textbooks that focus solely on financial institutions, this book places emphasis on the individual investor. The main objective is the presentation of the thinking process and economic/financial analyses of global events related to the financial markets as well as the investor's behavior. This book explains how one should interpret an event and what its possible consequences, and hence appropriate course of action would be, via a wide range of real-world situations and examples.Blending insights from economics, corporate finance, investments, and econometrics while demonstrating linkages to accounting, marketing and management disciplines, each chapter delivers a practical framework for understanding and engaging with the financial markets, equipping readers with the tools to analyze real-world events and make informed, strategic decisions. Fundamental econometric methodologies are illustrated throughout to enable the reader to study the quantitative outcomes of financial and economic developments while in-chapter boxed features reinforce understanding of the material.Understanding Global Financial Markets is ideal for students of finance, economics or business, or those with an interest in the global markets and who wish to succeed in the current financial world.

Understanding Global Financial Markets

As fears of agentic obsolescence abound, organizations are struggling to implement AI in ways that enhance rather than replace human work. This unique book introduces a full-stack approach that balances technological capability with human values, ethics and practical applications. AI at Work provides a framework that moves beyond scattered AI experiments toward a coherent strategy that will run throughout your entire company. Rather than focusing on technical capabilities or dystopian warnings, it utilizes a full-stack approach to harness AI's benefits while preserving what matters most - a firm's people, its values and its unique organizational identity. The global AI market is projected to reach $1.8 trillion by 2030, with organizations across sectors racing to implement AI solutions. However, whilst 83% of executives report that AI is a top priority for their organization, only 23% have a comprehensive implementation strategy. This book fills a critical gap between theoretical AI books and technical implementation guides by offering: · A practical framework applicable across industries; · Equal emphasis on technological capability, ethical considerations and real-world applications; · A human-centred approach that addresses concerns about AI replacing workers; and · Case studies and examples from diverse sectors.

How to build a full stack organization

AI at Work

Routledge Advances in Management and Business Studies

This book covers the relationship between artificial intelligence and sustainability goals, bringing together cutting-edge research and insights from business researchers and practitioners.Through real-world case studies from a variety of industries and regions around the world, the book examines how AI can optimise processes, reduce carbon footprints, and support climate action. It also delves into the ethical considerations of deploying AI in an environmentally conscious manner, ensuring that AI's benefits are realised without compromising the planet's well-being.A valuable resource for academics in the fields of AI, sustainability, and business practices. The book will also interest university administrators, industry professionals, and policymakers seeking to drive positive, sustainable change in their respective fields.

Strategies for Modern Businesses

AI-Powered Sustainability

Contributions to Management Science

Renewed Theoretical Bases and New Paradigms

Artificial Intelligence Transforming Marketing

Frontiers in African Business Research

Sustainability and Digital Transformation in Africa

Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems explores the transformative potential of the integration of technologies such as AI, Big Data, IoT, and Blockchain in the healthcare sector. This comprehensive volume aims to illustrate how these advanced technologies can address sustainability challenges, improve decision-making processes, and enhance overall healthcare delivery. By mapping existing knowledge and forecasting future trends, the book provides a detailed roadmap for sustainable healthcare development.Key features include: - Explores AI, big data, IoT, and blockchain in healthcare in-depth. - Provides actionable strategies for energy management, waste disposal, and green supply chains - Provides in-depth coverage of real-time health monitoring, predictive analytics, robotic surgery, and AI medical imaging. - Provides insights into preventing drug counterfeiting, managing pharmaceutical cold chains, and optimizing supply chains. - Comprises a comparative analysis of global healthcare systems, telemedicine evolution, and future digital health trends.

The Role of AI and IoT in Modern Medical Systems

Transforming Global Healthcare

From Human Bias to Machine Intelligence. An Empirical Study on Investor Behaviour and AI-Based Investment Decision Making

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