This book covers the technological aspects of Generative AI, its applications in achieving a net-zero carbon economy, the challenges of climate change, and the economic and management implications of these transitions. The book explores the transformative potential of Generative AI in driving the transition to a net-zero economy. It examines how this cutting-edge technology is revolutionizing climate change mitigation strategies and reshaping business models in the digital age. The book offers a comprehensive guide to leveraging AI for sustainable innovation through case studies, expert insights, and forward-thinking analysis. It addresses the challenges and opportunities in integrating AI into climate action plans, economic policies, and corporate strategies. Essential reading for policymakers, business leaders, and technologists, this book provides a roadmap for harnessing Generative AI to create a sustainable, prosperous future encompassing several key elements that align with the United Nations Sustainable Development Goals, in particular SDG 13: Climate Action.
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Subhra R Mondal (Academician, Researcher, Author, and Writer) is a researcher in the Marketing Department of Southstar Management Institute at Duy Tan University. She received her PhD from the management faculty at IBCS, SoA University. Her research interests concern brand management, brand equity with innovative tools, smart tourism, destination marketing, social media marketing, AI & Web 5.0 & digital recruitment. She has published around 10 Web of Science and 30+ Scopus-indexed research papers. She also edited 4 books with Springer Palgrave and IGI publications on digital entertainment, HR analytics, content marketing, Sustainable Development Goals and digital enterprises. She has 15+ years of experience in research and teaching. She is associated with different collaborative projects with European and Vietnamese organizations.
Lukas Vartiak works at the Faculty of Social and Economic Sciences of Comenius University in Bratislava as an assistant/associate professor in the position of a study programme co-guarantor. Since his doctoral studies, he has been devoted to the issues of corporate social responsibility, business ethics, Business Excellence, and marketing. As a co-researcher, he has worked on several completed research projects and has been responsible for the VEGA project since 2024. In addition, he acts as a member of the editorial board of several domestic and foreign scientific journals.
Subhankar Das is a senior researcher and associate professor at Duy Tan University (495th Position in QS ranking 2024) with 15+ years of collective experience in academia and research, helping students of Indian, African, and ASEAN universities excel. Over the years, his solo and collaborated projects at Duy Tan have garnered recognition from various government agencies. He has worked on 1 Government sponsored project as a PI. He has published in 12 Web of Science (SSCI, SCI, SCIE, ESCI) and 56 Scopus Elsevier, Emerald, Taylor, and Francis journals in the metaverse, marketing management, waste management, AI, digitalisation, blockchain, and analytics. He served as editor and author of 7 Scopus-indexed books with 26 book chapters published by reputed publishers like Springer, Elsevier, Palgrave, CRC, and IGI. He is a reviewer board member of journals like JHTT (Emerald), JHTE, and IJHCI (T&F). He also acts as PhD supervisor/co-supervisor for three universities in Italy, Poland, and Kenya.
This book covers the technological aspects of Generative AI, its applications in achieving a net-zero carbon economy, the challenges of climate change, and the economic and management implications of these transitions. The book explores the transformative potential of Generative AI in driving the transition to a net-zero economy. It examines how this cutting-edge technology is revolutionizing climate change mitigation strategies and reshaping business models in the digital age. The book offers a comprehensive guide to leveraging AI for sustainable innovation through case studies, expert insights, and forward-thinking analysis. It addresses the challenges and opportunities in integrating AI into climate action plans, economic policies, and corporate strategies. Essential reading for policymakers, business leaders, and technologists, this book provides a roadmap for harnessing Generative AI to create a sustainable, prosperous future encompassing several key elements that align with the United Nations Sustainable Development Goals, in particular SDG 13: Climate Action.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Hardcover. Condizione: new. Hardcover. This book covers the technological aspects of Generative AI, its applications in achieving a net-zero carbon economy, the challenges of climate change, and the economic and management implications of these transitions. The book explores the transformative potential of Generative AI in driving the transition to a net-zero economy. It examines how this cutting-edge technology is revolutionizing climate change mitigation strategies and reshaping business models in the digital age. The book offers a comprehensive guide to leveraging AI for sustainable innovation through case studies, expert insights, and forward-thinking analysis. It addresses the challenges and opportunities in integrating AI into climate action plans, economic policies, and corporate strategies. Essential reading for policymakers, business leaders, and technologists, this book provides a roadmap for harnessing Generative AI to create a sustainable, prosperous future encompassing several key elements that align with the United Nations Sustainable Development Goals, in particular SDG 13: Climate Action. This book covers the technological aspects of Generative AI, its applications in achieving a net-zero carbon economy, the challenges of climate change, and the economic and management implications of these transitions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9789819680146
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