Hannoon / Mahmood Intelligence-Driven Circular Economy

Regeneration Towards Sustainability and Social Responsibility–Volume 1
Erscheinungsjahr 2025
ISBN: 978-3-031-73899-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 673 Seiten

Reihe: Studies in Computational Intelligence

The book provides a groundbreaking examination of how artificial intelligence (AI) can be utilized to contribute towards a sustainable future. This book delves into the intricate relationship between technology, economy, and society, providing a comprehensive framework for understanding the circular economy as a holistic approach to sustainable development. This book aims to offer a comprehensive reference work and coverage of the role of Artificial Intelligence and other advanced digital technologies in the circular economy and resource regeneration towards achieving the United Nation’s 17 sustainable development goals. This book is mainly aimed at academics and researchers who will find in it the knowledge of the support of technology and its contribution to the circular economy, challenges, applications, and solutions to improve. Moreover, this book is aimed at management, industry experts, governments, and policymakers, whereby the book contains helpful examples from practice and applied recommendations. This book is for anyone interested in shaping a sustainable and resilient future. It provides diverse topics for raising awareness about the power of technology in promoting social well-being and economic prosperity.

Zielgruppe

Research

Autoren/Hrsg.

Hannoon, Azzam

Mahmood, Abdullah

Inhaltsverzeichnis

1.Staying Safe Online: A Guide for Individuals and Organizations.- 2.The Impact of Sustainable Supply Chain Management on the Dynamic Capabilities of Industrial Companies.- 3.E-Learning Status in Universities: A Quality Assurance Perspective.- 4. The Impact of Artificial Intelligence on Corporate Performance: A Study of Financial and Non-financial aspects in the Service Sector.- 5. Translation Quality of Literary Texts by Machine(-assisted) Translation.