Francesco Schiavone – författare

Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics, and postgraduate students across AI, technology and innovation management, and a wide range of business disciplines.

Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics, and postgraduate students across AI, technology and innovation management, and a wide range of business disciplines.

This book explores in depth the phenomenon of user innovation in healthcare. In particular, the book sheds light on patient innovation, whereby patients and/or caregivers proactively develop and diffuse new products and services that provide health and quality of life benefits by addressing gaps in existing market offerings. The aim is to clarify the key characteristics of these innovative processes and to offer practitioners and policymakers tangible bottom-up evidence, solutions, and ideas that will assist in improving health systems, organizations, and practices. A number of important and interesting research questions are addressed, casting light on the types of products and services that tend to be developed by patient innovators, the typical profile of these innovators, the role played by firms, institutions, and health professionals, and the ways in which digital technologies support the dissemination of innovations among patient communities and within the industry. Beyond academic scholars and policymakers, the book will be of high value for students on master’s programs in both medical sciences and business and economics.

This book provides a comprehensive review and a detailed snapshot of the newly emerging research trends and evidence about digital transformation in organizations, networks, and social groups.

This book explores the ways in which artificial intelligence and digital technologies are reshaping organizations, industries, and societies. Featuring selected papers presented at  the 3rd Edition of the Digital Transformation Society (DTS) International Conference (DTS 2025) held in Paris, France, this book brings together leading scholars and practitioners to explore the next wave of digital transformation across healthcare, smart cities, organizational collaboration, social entrepreneurship, and knowledge management. Rather than view AI only as a tool, this book explores a symbiotic partnership where human creativity and judgement combine with machine precision and scalability to achieve superior outcomes. It also recognizes the competitive dynamics between humans and machines, posing critical questions about the future of work, ethics, and trust in this developing landscape. Drawing from diverse methodologies including case studies, bibliometric analyses, and systematic reviews, this book offers research and actionable insights for scholars, researchers, students, practitioners, and policy makers interested in AI, digital transformation, innovation and machine learning.

This book explores the evolving relationship between humans and artificial intelligence (AI) systems. Featuring the proceedings from the 3rd Digital Transformation Society (DTS) International Conference (DTS 2025) held in Paris, France, this book explains how this collaboration can drive innovation, boost productivity, and unlock new opportunities. Rather than view AI only as a tool, this book explores a symbiotic partnership where human creativity and judgement combine with machine precision and scalability to achieve superior outcomes. It also recognizes the competitive dynamics between humans and machines, posing critical questions about the future of work, ethics, and trust in this developing landscape. Featuring contributions from areas such as innovation, industry, healthcare, sustainability, tourism, finance, and economics, this book is a resource for scholars, academics, students, practitioners, and policy makers interested in the AI, digital transformation, innovation and machine learning.