Rwa Tokenisation in Web 3.0 Era
Language: English
Published by Springer, 2025
- Hardcover
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- Title
- Rwa Tokenisation in Web 3.0 Era
- Author
- Wang, Yang; Bai, Haifeng; Zhu, Haokang Thomas
- Publisher
- Springer
- Publication year
- 2025
- Condition
- As New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 9819676622
- ISBN 13
- 9789819676620
This book strives to comprehensively explain Web 3.0 and tokenization technologies from theory to practice, from concepts to cases, and from opportunities to challenges. Chapter 1 systematically introduces the definition and characteristics of Web 3.0, as well as its impact on traditional investment and financing models, helping readers quickly establish a basic understanding of Web 3.0. Chapters 2, 3, and 4 serve as the theoretical foundation, delving into the blockchain technology principles underpinning tokenization and the economic theories embedded within, thereby solidifying the necessary knowledge base for readers. On the practical side, Chapters 5 and 6, as typical applications, focus on dissecting the two most core models in tokenization—the various types of RWA and stablecoins. The RWA model innovatively proposes ways to digitize and tokenize RWAs, significantly expanding the application scenarios and boundaries of tokenization. Stablecoins, as a bridge connecting the digital and real worlds, play a crucial role in promoting the prosperity of the tokenization ecosystem. Through detailed case studies and thorough analysis, this book enables readers to clearly understand how tokenization operates and the pathways to its implementation. However, the development of tokenization is not without obstacles; it also faces numerous risks and challenges. Chapters 7 and 8 adopt a cautious approach to discuss potential issues in regulation and social impact, objectively analyzing the resistances and limitations it faces, and proposing strategies and development recommendations. Only in this way can the development of tokenization become healthier and more sustainable.
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About the Author
Prof. Yang Wang took office as Vice-President for Institutional Advancement of HKUST on October 1, 2020. He is also a Chair Professor of Department of Industrial Engineering and Decision Analytics and Department of Mathematics. He joined the HKUST as the Head of the Department of Mathematics in 2014 and he became the Dean of School of Science in 2016. Prof. Wang is an internationally respected scholar with wide ranging research interests, having published over 100 research journal papers in both pure and interdisciplinary mathematics, many of which in top journals. During his tenure as Dean of Science and Head of Mathematics, Prof. Wang founded the HKUST Big Data Institute and launched the popular Big Data Technology MSc program.
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