AI and Sustainable Transformations

Author:   Gyan Prakash ,  Amandeep Kaur
Publisher:   Taylor & Francis Ltd
ISBN:  

9781041079286


Pages:   326
Publication Date:   31 October 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
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AI and Sustainable Transformations


Overview

AI and Sustainable Transformations presents cutting-edge research and insights into the role of Artificial Intelligence (AI) and emerging technologies in driving human-centered innovation and sustainable transformation across various industries. With an emphasis on aligning technological advancements with sustainable practices, this book explores applications of AI in manufacturing, healthcare and the food industry, it delves into critical themes such as Internet of Things-enabled smart manufacturing, blockchain for secure industrial ecosystems, emerging technologies for sustainable futures, intelligent healthcare systems, AI for sustainable and healthcare supply chains, and applications of AI in the food industry. Through in-depth case studies, technical analyses and alternative solutions, readers will gain a broad-based perspective on AI-driven human-centric development. This is an essential resource for academics, researchers, professionals and policy makers who wish to leverage innovative strategies for a better tomorrow.

Full Product Details

Author:   Gyan Prakash ,  Amandeep Kaur
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.790kg
ISBN:  

9781041079286


ISBN 10:   1041079281
Pages:   326
Publication Date:   31 October 2025
Audience:   General/trade ,  College/higher education ,  Professional and scholarly ,  General ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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Author Information

Gyan Prakash is a Professor, Operations and Technology Management; Dean, Planning and Development; and former Head, Department of Management Studies, at the ABV-Indian Institute of Information Technology and Management, Gwalior, India. Prof. Prakash was visiting Associate Professor at the Asian Institute of Technology Bangkok and Visiting Researcher at the Institute for Manufacturing, University of Cambridge. His research interests include the fields of supply chain management, information systems, operations and service management, including public management. He has published his research work in many prestigious journals, such as IEEE Transactions on Engineering Management, Supply Chain Management: An International Journal, Public Management Review, Production Planning and Control, International Journal of Pharmaceutical and Healthcare Marketing, Journal of Health Management, International Journal of Healthcare Management, The TQM Journal, Australian Journal of Maritime & Ocean Affairs, International Journal of Intelligent Enterprise, International Journal of Logistics Systems and Management, International Journal of Healthcare Quality Assurance, Journal of Advances in Management Research, IIMB Management Review, Productivity, Journal of Indian Business Research, IIM Kozhikode Society, and Management Review etc. Amandeep Kaur, PhD, is an Assistant Professor in the Department of Management Studies at ABV-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior, India. Prior to joining ABV-IIITM, she served as Assistant Professor at Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, and the National Institute of Technology, Hamirpur. Her research interests lie at the intersection of Artificial Intelligence and Machine Learning in Healthcare, Operations Management, Quality of Service Management, Business Analytics, and Business Intelligence. She has contributed to various high-impact journals, including IEEE Transactions and other SCI-indexed publications, with her work reflecting a blend of technical innovation and practical application. Dr. Kaur continues to engage in interdisciplinary research and collaborative projects that aim to enhance data-driven decision-making across domains.

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