This book explores the impact of Generative Artificial Intelligence (AI) on the value co-creation process within inter-organizational networks, providing theoretical and practical perspectives on value creation in networks and on technological diffusion. Specifically, the author examines Precision Medicine (PM) networks in Italy, where technology is crucial in sharing and analyzing clinical data. By adopting an ecosystem perspective, Generative AI can enhance healthcare efficiency by increasing the speed and accuracy of diagnosis and treatment, and foster collaborative networking, as real-time data sharing facilitates streamlined communication among healthcare professionals, ensuring multidisciplinary patient care. Its analytical and predictive capabilities also enable personalized and tailored therapies by anticipating patients’ treatment needs. The book proposes a conceptual framework for mapping the critical stages of the value co-creation process and identifies the enablers and barriers of Generative AI within such networks. This book is a valuable resource for scholars, researchers, academics, professionals, and policymakers interested in the development of more resilient and value-driven healthcare networks.

This book explores the impact of Generative Artificial Intelligence (AI) on the value co-creation process within inter-organizational networks, providing theoretical and practical perspectives on value creation in networks and on technological diffusion. Specifically, the author examines Precision Medicine (PM) networks in Italy, where technology is crucial in sharing and analyzing clinical data. By adopting an ecosystem perspective, Generative AI can enhance healthcare efficiency by increasing the speed and accuracy of diagnosis and treatment, and foster collaborative networking, as real-time data sharing facilitates streamlined communication among healthcare professionals, ensuring multidisciplinary patient care. Its analytical and predictive capabilities also enable personalized and tailored therapies by anticipating patients’ treatment needs. The book proposes a conceptual framework for mapping the critical stages of the value co-creation process and identifies the enablers and barriers of Generative AI within such networks. This book is a valuable resource for scholars, researchers, academics, professionals, and policymakers interested in the development of more resilient and value-driven healthcare networks.

This book explores the impact of Generative Artificial Intelligence (AI) on the value co-creation process within inter-organizational networks, providing theoretical and practical perspectives on value creation in networks and on technological diffusion. Specifically, the author examines Precision Medicine (PM) networks in Italy, where technology is crucial in sharing and analyzing clinical data. By adopting an ecosystem perspective, Generative AI can enhance healthcare efficiency by increasing the speed and accuracy of diagnosis and treatment, and foster collaborative networking, as real-time data sharing facilitates streamlined communication among healthcare professionals, ensuring multidisciplinary patient care. Its analytical and predictive capabilities also enable personalized and tailored therapies by anticipating patients’ treatment needs. The book proposes a conceptual framework for mapping the critical stages of the value co-creation process and identifies the enablers and barriers of Generative AI within such networks. This book is a valuable resource for scholars, researchers, academics, professionals, and policymakers interested in the development of more resilient and value-driven healthcare networks.