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Work in the Future

Overview of attention for book
Cover of 'Work in the Future'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Future of Work
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    Chapter 3 Patterns and Types of Work in the Past: Part 1
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    Chapter 4 Patterns and Types of Work in the Past: Part 2
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    Chapter 5 Patterns and Types of Work in the Past: Wageworker and Housewife from a Global Perspective: Birth, Variations and Limits of the Modern Couple
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    Chapter 6 Attitudes to Work and the Future of Work: The View from Economics
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    Chapter 7 Attitudes to Work
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    Chapter 8 Work as an Obligation
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    Chapter 9 Attitudes to Technology: Part 1
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    Chapter 10 Attitudes to Technology: Part 2
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    Chapter 11 What Computers Will Never Be Able To Do
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    Chapter 12 Possibilities and Limitations for AI: What Can’t Machines Do?
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    Chapter 13 Work in the Digital Economy
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    Chapter 14 Two Myths About the Future of the Economy
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    Chapter 15 AI, Ethics, and the Law
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    Chapter 16 Policy for the Future of Work
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    Chapter 17 Automation and Working Time in the UK
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    Chapter 18 Shaping the Work of the Future: Policy Implications
Attention for Chapter 2: The Future of Work
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Citations

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4 Dimensions

Readers on

mendeley
16 Mendeley
Summary Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
The Future of Work
Chapter number 2
Book title
Work in the Future
Published by
Palgrave Macmillan, Cham, January 2020
DOI 10.1007/978-3-030-21134-9_2
Book ISBNs
978-3-03-021133-2, 978-3-03-021134-9
Authors

Robert Skidelsky, Skidelsky, Robert

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Professor 2 13%
Researcher 2 13%
Student > Master 2 13%
Student > Bachelor 1 6%
Other 4 25%
Unknown 3 19%
Readers by discipline Count As %
Business, Management and Accounting 4 25%
Engineering 2 13%
Computer Science 2 13%
Environmental Science 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 13%
Unknown 4 25%

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