Book Chapter

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AI-Enabled Circular Economy Management for Sustainable Smart Cities: Integrating Artificial Intelligence in Resource Optimization and Waste Reduction
(Smart Cities and Circular Economy: The Future of Sustainable Urban Development, 2024) Malla Jogarao; B. C. Lakshmanna; S. T. Naidu
As the global community increasingly directs its attention towards sustainable urban development, integrating artificial intelligence (AI) into circular economy (CE) management within smart cities has become a potent strategy. This study aims to examine the potential influence of AI-based technologies on optimizing resources and minimizing waste, which constitute critical components of the principles underpinning the CE. The focus is mainly on applying these technologies within smart city environments. Artificial Intelligence can significantly enhance the processes of gathering, analyzing and decision-making by integrating internet of things (IoT) sensors, data analytics, machine learning algorithms and predictive analytics. This chapter explores the potential of AI in predicting trends, optimizing circular supply chains, improving waste management and recycling practices, facilitating sustainable product design, fostering citizen engagement and aiding policy development. The current research presents a comprehensive examination of the interrelated connection between the principles of CE and the advanced technology of AI. Doing so contributes significantly to our holistic comprehension of how these advancements might collectively influence the development of a more sustainable and resilient future for urban populations.
Protecting the Traditional Knowledge of Coastal Communities for Climate Resilience
(Rivers Unbound | Routledge, 2025-06-02) Gabriela Michael
The increased changes in climatic conditions are not a new phenomenon, yet the repercussions can be seen in almost every sphere of human existence in recent times. Taking place at an unprecedented pace, the coasts and coastal communities are the most affected due to these changes causing severe damage to the nations. The world is on the verge of climate warfare, wherein every country is battling the multifold crisis posed by climatic conditions, adapting to climate change has become a task for everyone worldwide; thus, finding a sustainable solution has become quintessential. Coastal communities are not only the eyes and ears for the nation’s maritime security, but they also possess traditional knowledge developed over generations, offering valuable insights into climate resilience and adaptation strategies. However, this precious cultural heritage is vulnerable to erosion due to climate change, urbanization, and cultural homogenization. This research aims to record, preserve, and promote coastal communities’ traditional knowledge, emphasising their distinctive practices, beliefs, and climate adaptation solutions. The study aims to recognize and document traditional knowledge about climate adaptation, such as indigenous methods and ecosystem-based management techniques in India and other countries, as well as to examine the role of coastal communities in improving resilience to climate change and informing sustainable economic growth. Finally, the study intends to examine the policy and laws recognizing and protecting traditional knowledge in climate governance, emphasizing the necessity for a comprehensive international legal framework for protecting coastal communities’ traditional knowledge for climate resilience that benefits all countries through information sharing.
Sustainable Supply Chains and Digital Transformation
(CRC Press, 2025) Rai, Akshat Kumar; Bangar Raju, T
Integrating blockchain technology into supply chain management offers a revolutionary approach to enhancing transparency, traceability, and security within the industry. Despite its potential to address inefficiencies and trust issues, widespread adoption faces significant barriers. This chapter uses both qualitative and quantitative data to systematically analyze and rank the challenges to blockchain adoption in supply chains. In this study, utilizing the Fuzzy Making use of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and the Fuzzy Analytical Hierarchy Process (AHP), key issues are identified with reference to technical integration, regulatory issues, and concerns over scalability, and environmental effects. This research emphasizes the need for understanding technological propositions, regulation assurance, and business practices for adopting blockchain supply chain integration; the influence of the TOE framework is found to be insufficiently explored across different contexts. The chapter adds to the body of academic literature and provides recommendations for blockchain implementation, stressing multistakeholder cooperation to address these issues. Hence, the chapter provides a roadmap for further research in the complex interplays of blockchain in supply chain networks. It provides actionable insights for industry practitioners aiming to harness its transformative potential.