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. Featuring select best papers presented at the 2nd International Conference of the Digital Transformation Society (DTS) held in Naples, Itay in May 2024, the enclosed chapters explore the role of digital transformation in areas such as value creation; artificial intelligence (AI), and generative AI for the work and processes of the future; Internet of Things; big data management and valuation; digital business models; responsible AI and ethic; AI and Sustainable Development Goals (SDGs); smart mobility and transportation; smart cities; digital marketing; human resource management (HRM); and metaverse, among others. The book is a rich source of new evidence and concepts on digital transformation and an important reading for all scholars and practitioners interested in technology and innovation management.

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. Featuring select best papers presented at the 2nd International Conference of the Digital Transformation Society (DTS) held in Naples, Itay in May 2024, the enclosed chapters explore the role of digital transformation in areas such as value creation; artificial intelligence (AI), and generative AI for the work and processes of the future; Internet of Things; big data management and valuation; digital business models; responsible AI and ethic; AI and Sustainable Development Goals (SDGs); smart mobility and transportation; smart cities; digital marketing; human resource management (HRM); and metaverse, among others. The book is a rich source of new evidence and concepts on digital transformation and an important reading for all scholars and practitioners interested in technology and innovation management.