Blockchain in Real Estate

Theoretical Advances and New Empirical Applications
1. Auflage 2024
ISBN: 978-981-99-8532-6
Verlag: Springer Nature Singapore

Buch, Englisch, 302 Seiten, Format (B × H): 153 mm x 216 mm, Gewicht: 538 g

This book provides an overview of the latest developments in real estate blockchain technology and its applications. It explores blockchain technologies in all industries, cryptocurrencies’ effect on the payment system, money transfers and currency exchange, investment, venture capital, etc. It examines the urgent need to build trust in digital technologies as companies rethink their approach to operations. It describes how Blockchain technology can enable property or land ownership to be managed through immutable records and verifiable transaction history to register and transfer land and how it can also be used to improve the efficiency of property management through the use of smart contracts.

It explores how blockchain can upgrade the traditional Multi-Listing System (MLS) - a professional information system that combines the offers of market participants from different real estate agencies and creates a much more transparent MLS, in which brokers and agents can see the entire history of transactions in relation to property. In real estate, blockchain can help organize new forms of registries, titles, and transactions. The blocks recorded in the blockchain system certify the process of transfer of ownership and confirm money transfers and owner data. There are several regulatory and administrative challenges in implementing blockchain real estate tokenization. If and when this is implemented, it could greatly simplify and speed up the process of buying, receiving dividends, and financial benefits from owning real estate around the world.

This book explores the implications of real estate blockchain and the opportunities and challenges. It will interest scholars, researchers, and real estate, finance, and financial technology students, real estate agents, town planners, developers, real estate experts, investors, communities.

Zielgruppe

Research

Autoren/Hrsg.

Mili, Mehdi

Jreisat, Ammar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Immobilienwirtschaft
• Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines

Inhaltsverzeichnis

Chapter 1: Blockchain Technology in Real Estate: Potential Future and Challenges.- Chapter 2: How Blockchain Technology is Transforming the Real Estate Market?.- Chapter 3: Blockchain, Asset Management and Real Estate Funds.- Chapter 4: Blockchain in Commercial Real Estate.- Chapter 5: A Blockchain base Life Cycle Assessment (LCA) Framework for Building Materials Selection.- Chapter 6: A Blockchain base Life Cycle Assessment (LCA) Framework for Building Materials Selection.- Chapter 7: Real Estate in the Metaverse.- Chapter 8: Real Estate in the Metaverse.- Chapter 9: Distribution of Proptech Benefits to Stakeholders of Real Estate Market.- Chapter 10: Fragmented Data Landscape and Data Asymmetries in the Real Estate Industry.- Chapter 11: Digital Building Logbook - the Mother Use Case for Blockchain in Real Estate.- Chapter 12: Land Title Solutions Across the World with Blockchain: A Review.- Chapter 13: Tokenized Real Estate Investments.- Chapter 14: Tokenized Real Estate Investments.

Über Autor(innen)

Ammar Barham Jreisat holds a Ph.D. in Finance and Economics from Western Sydney University, Australia. He is an Assistant Professor of Finance and Program Coordinator of the M.Sc. in Real Estate Development and Property Management at the University of Bahrain. He is an Associate Editor, and reviewer, and has won awards from MEEA and ERF. He has published peer-reviewed articles in leading international conference proceedings and journals. His research interests include Finance, Banking, Financial Markets, and efficiency and productivity measurement.



Mehdi Mili, Ph.D., is an Associate Professor at the University of Bahrain. He received his master’s in finance and PhD in Finance from the University of Sfax, Tunisia, and the University of Poitiers, France. His research interests include fixed-income modelling, interest rate risk management, and structured products. Mehdi is a conference speaker, and his research has been published in international journals and funded by the University of Sfax and the University of Bahrain.