Green Metaverse for Greener Economies

Green Metaverse for Greener Economies

AngličtinaEbook
CRC Press
EAN: 9781040046586
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This book reviews Metaverse, the possibilities and difficulties of sustainable development, and policy suggestions, especially within the context of the 2030 Agenda.Green Metaverse for Greener Economies examines how the metaverse holds the potential to significantly reduce carbon emissions, whether through the replacement of physical goods with digital ones, the substitution of in-person interactions with virtual ones, or the creation of digital twins that will aid in the optimization of the physical world, from the planet to specific individuals thereby leading to sustainable world. The book includes a number of case studies, exploratory studies utilizing quantitative analysis, scientific studies, and qualitative studies to demonstrate how metaverse leading innovation and technology aids to achieve business sustainability in the emerging economies while also having an impact on the global economy (SDGs).This book will be useful for engineers, managers, and policy makers working on improving sustainability and reducing their carbon emissions through more energy-efficient processes.Features: Shares essential policy tools on innovation and technology for sustainable computing. Reviews metaverse, the possibilities and difficulties of sustainable development, and policy suggestions, especially within the context of the 2030 Agenda. Explores green technology concept, difficulties, and challenges ahead. Includes several case studies, exploratory studies utilizing quantitative analysis, scientific studies, and qualitative studies to demonstrate how metaverse leading innovation. Explores innovative technology in sustainable society like digital transformational, metaverse in business management, and innovative technology in healthcare.
EAN 9781040046586
ISBN 1040046584
Typ produktu Ebook
Vydavatel CRC Press
Datum vydání 28. června 2024
Stránky 370
Jazyk English
Země Uruguay
Editoři Baral, Sukanta Kumar; Goel, Richa; Kumar, Rakesh; Singh, Tilottama
Série Artificial Intelligence for Sustainable Engineering and Management