Reluctant to Share

At a time when the future of the sharing economy depends not only on technological innovation but also on overcoming the persistent barriers that constrain participation, this book offers a timely and authoritative contribution to the evolving discourse on AI and the sharing economy. Through a comprehensive examination of the psychological, social, economic, and technological factors that continue to impede the widespread adoption of sharing-based models, the authors significantly advance the frontier of research in this area. Particularly compelling is their insightful exploration of AI as a catalyst for building more intelligent, inclusive, and trustworthy sharing ecosystems. Rather than merely identifying the obstacles to participation, this work shifts the conversation toward actionable pathways for reducing resistance, fostering trust, and promoting greater adoption, deeper engagement, and sustained participation across sharing-based systems. This is an important and forward-looking volume that will serve as an invaluable resource for researchers, practitioners, and policymakers seeking to understand and shape the future of AI-enabled sharing economies.

Reluctant to Share: How AI Can Rewire the Sharing Economy is a timely and intellectually significant contribution to the growing discourse on artificial intelligence and platform-based collaborative consumption. The volume offers a well-structured and interdisciplinary examination of the psychological, social, cultural, economic, and technological barriers that continue to constrain participation in the sharing economy. Of particular value is its exploration of how AI-driven verification, personalization, recommendation systems, intelligent assistance, and behavioral interventions can strengthen trust, reduce transactional friction, and enhance user engagement. Importantly, the book also recognizes the ethical, governance, and policy challenges associated with the increasing integration of AI into digital platforms. This volume will serve as a valuable scholarly and practical reference for researchers, educators, students, practitioners, policymakers, and decision-makers interested in the evolving relationship between artificial intelligence and the sharing economy.

Reluctant to Share is a timely collection of chapters that explore how AI can bridge the gap between technological innovation and consumer adoption. The collection of chapters integrates platform economy and artificial intelligence to make it valuable for researchers, policy makers, and industry leaders. Its interdisciplinary approach coupled with ethical and responsible AI not only adds to the literature of digital transformation and collaborative culture but also provides an in-depth understanding of the evolving relationships between artificial intelligence and the sharing economy thereby providing readers with both questions and guidelines to explore AI-informed world.

Reluctant to Share offers a timely and intellectually rich examination of one of the most pressing questions in contemporary platform research. Rather than presenting artificial intelligence as a universal solution, the book carefully explores how trust, governance, transparency, fairness, and institutional design shape the future of the sharing economy. By bringing together diverse theoretical perspectives, rigorous empirical research, and practical insights, the volume demonstrates that meaningful participation depends not only on technological innovation but also on accountable and inclusive governance. The contributors successfully bridge disciplines including consumer behavior, information systems, sociology, sustainability, and platform studies, creating a coherent and comprehensive understanding of the opportunities and limitations of AI enabled collaborative consumption. The book provides readers with original conceptual frameworks, evidence based analyses, and forward looking discussions that will stimulate future research and inform policy and practice. Its balanced treatment of technological potential and institutional responsibility makes it an essential resource for academics, doctoral researchers, policymakers, and platform practitioners seeking to understand the evolving relationship between artificial intelligence and the sharing economy. This book stands as a valuable contribution to the growing discourse on artificial intelligence, platform governance, and the future of the sharing economy.”