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Disruptive Technology, Legal Innovation, and the Future of Real Estate

Overview of attention for book
Cover of 'Disruptive Technology, Legal Innovation, and the Future of Real Estate'

Table of Contents

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    Book Overview
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    Chapter 1 A Database Exploring Blockchain and Real Estate
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    Chapter 2 From Blackstone to Blockchain: Theorizing Property Law in the Age of Cryptography
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    Chapter 3 Prospects of Blockchain in Contract and Property
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    Chapter 4 The Future of Property Rights: Digital Technology in the Real World
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    Chapter 5 Social Innovation as a Disruptor of Tenure: Recognising Land Rights of Slum Dwellers in Odisha, India
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    Chapter 6 Blockchain-Based Land Registers: A Law-and-Economics Perspective
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    Chapter 7 Land Registration in the Twenty-First Century: Blockchain Land Registers from a Civil Law Perspective
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    Chapter 8 Selling LAND in Decentraland: The Regime of Non-fungible Tokens on the Ethereum Blockchain Under the Digital Content Directive
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    Chapter 9 Application of a Systems Engineering Approach as a Preventative Measure Against Disruptions to Real Estate Institutions
Attention for Chapter 4: The Future of Property Rights: Digital Technology in the Real World
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Citations

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6 Dimensions

Readers on

mendeley
6 Mendeley
Summary Dimensions citations
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Chapter title
The Future of Property Rights: Digital Technology in the Real World
Chapter number 4
Book title
Disruptive Technology, Legal Innovation, and the Future of Real Estate
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-52387-9_4
Book ISBNs
978-3-03-052386-2, 978-3-03-052387-9
Authors

Amnon Lehavi, Lehavi, Amnon

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 50%
Professor 1 17%
Unknown 2 33%
Readers by discipline Count As %
Arts and Humanities 2 33%
Computer Science 1 17%
Social Sciences 1 17%
Unknown 2 33%

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