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Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives

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Cover of 'Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Optimization Methods: An Applications-Oriented Primer
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    Chapter 3 Networked Systems Theory: Distributed Algorithms for Optimal Cooperation of Dynamical Systems
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    Chapter 4 On Distributed Generalized Nash Equilibrium Seeking
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    Chapter 5 Queueing Theory in the Context of Shared Resources
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    Chapter 6 Advances in Cloud Computing, Wireless Communications and the Internet of Things
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    Chapter 7 Distributed Ledger Technologies and the Collaborative Economy
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    Chapter 8 Sharing Economy: A Business Perspective
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    Chapter 9 Distributed Algorithms for Internet-of-Things-Enabled Prosumer Markets: A Control Theoretic Perspective
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    Chapter 10 Negotiation Approaches for Sharing Systems
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    Chapter 11 Behaviour Change for the Sharing Economy
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    Chapter 12 Sharing Data in Automotive Applications
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    Chapter 13 On Parsing Shared Information: An Application from the Connected Car Domain
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    Chapter 14 Mobility on Demand in the United States
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    Chapter 15 Data-Driven Rebalancing Methods for Bike-Share Systems
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    Chapter 16 Peer-to-Peer Energy Trading
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    Chapter 17 Healthcare and the Sharing Economy
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    Chapter 18 Industry4.0
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    Chapter 19 Industry 4.0 and The Sharing Economy
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    Chapter 20 Conclusion
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Title
Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives
Published by
Springer International Publishing, May 2020
DOI 10.1007/978-3-030-35032-1
ISBNs
978-3-03-035031-4, 978-3-03-035032-1
Editors

Crisostomi, Emanuele, Ghaddar, Bissan, Häusler, Florian, Naoum-Sawaya, Joe, Russo, Giovanni, Shorten, Robert

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Student > Master 6 13%
Researcher 5 11%
Lecturer 4 9%
Student > Bachelor 2 4%
Other 4 9%
Unknown 17 38%
Readers by discipline Count As %
Engineering 6 13%
Energy 3 7%
Economics, Econometrics and Finance 3 7%
Business, Management and Accounting 3 7%
Mathematics 2 4%
Other 8 18%
Unknown 20 44%