Description

In an era defined by climate urgency, resource scarcity, and technological disruption, this book offers a compelling roadmap for reimagining supply chains and business models. By weaving together the transformative capabilities of artificial intelligence and blockchain with the principles of the circular economy, it demonstrates how organizations can shift from linear "take-make-dispose" systems to regenerative, data-driven networks that minimize waste, maximize transparency, and build long-term resilience.

The book is divided into four parts that provide methodology for learning, applying, and developing the concept of circles as a design-based approach. Through an engaging mix of theory, architectural frameworks, and cross-sector case studies--ranging from digital product passports and reverse logistics in fashion to predictive analytics for smart waste recovery--the book illustrates not only what is possible, but how it can be practically achieved. At its core, it argues that digital technologies are not mere enablers but essential catalysts for achieving global sustainability goals, bridging the gap between boardroom commitments and on-the-ground execution. Case studies and datasets include examples of blockchain-enabled traceability in food supply chains, AI-driven waste management in manufacturing, and regenerative models from renewable energy transitions. Its scope extends across multiple domains: circular supply chain design, resource optimization, waste minimization, traceability, green finance, and Environmental, Social, and Governance-driven business models. Adopting a mixed methods approach, the book offers both academic insights and practical strategies to build resilient and future-ready supply chain systems.

Accessible to readers from diverse backgrounds, it is an invaluable resource for researchers, students and scholars, as well as, policymakers, sustainability practitioners, and those interested in how innovation can power the transition to a circular, climate-positive economy.