Handbook on Artificial Intelligence and the Circular Economy

Samadhiya, Ashutosh ORCID: https://orcid.org/0000-0002-7613-7252, Kumar, Anil, Idowu, Samuel O. and Dutta, Pankaj (2026) Handbook on Artificial Intelligence and the Circular Economy. Edward Elgar Publishing, Glos. ISBN 9781035390571

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Abstract

This timely Handbook demonstrates how AI can be used to create circular economies with the goal of reducing waste, reusing waste products and protecting the planet. Leading scholars from across the globe highlight the potential of circular economies to transform operational approaches, moving beyond the traditional and unsustainable ‘take-make-dispose’ model.

Through extensive research and case studies, this Handbook illustrates how AI can facilitate the shift to a circular economy by optimizing a decision-making framework that results in better choices, more efficient processes, and streamlined outcomes. By adopting interdisciplinary perspectives which draw on sustainability, operations, and ethics studies, contributing authors analyze the benefits of AI in key areas, including healthcare, supply chains, marketing, product design, and manufacturing. Ultimately, this Handbook outlines how AI can reduce the complexity of circular transitions to accelerate systemic, cross-sector change.

The Handbook on Artificial Intelligence and the Circular Economy is a valuable resource for scholars and students of environmental policy, environmental economics, technology management, industrial engineering, and human geography. It is also useful for policy-makers, business managers and operations and supply chain management professionals interested in the practical applications of AI to enhance sustainability.

Item Type: Book
Uncontrolled Keywords: Circular economies | Reducing waste | Reusing waste products | Take-make-dispose’ model
Subjects: Social Sciences and humanities > Economics, Econometrics and Finance > Economics
Physical, Life and Health Sciences > Computer Science
Depositing User: Mr. Syed Anas
Date Deposited: 03 Jun 2026 15:02
Last Modified: 04 Jun 2026 04:33
Official URL: https://doi.org/10.4337/9781035343386
URI: https://pure.jgu.edu.in/id/eprint/11495

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