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Do Machines Dream of Electric Workers?

Overview of attention for book
Cover of 'Do Machines Dream of Electric Workers?'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Organizing for Industry 4.0
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    Chapter 2 Consequences in the Workplace After Industry 4.0 Adoption: A Multiple Case Study of Italian Manufacturing Organisations
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    Chapter 3 Remote Locations Are not All the Same: Determinants of Work Well-Being Among Home-Based and Mobile e-Workers
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    Chapter 4 Work Datafication and Digital Work Behavior Analysis as a Source of HRM Insights
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    Chapter 5 Shaping the Future of Work
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    Chapter 6 Blue Ocean or Dry Desert? Blockchain and Bitcoin Impact on Tourism Industry
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    Chapter 7 Ecosystems in Blockchain Competence Certification: An Explorative Multi-Perspective Analysis
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    Chapter 8 Building the Digital Public Administration: The Impact of Social Media in the Public Sector. The Perception of Public Employees in Italian Local Context
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    Chapter 9 Museums Driving Innovation by Technology, People and Organisation
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    Chapter 10 Measuring Healthcare Performance in Digitalization Era an Empirical Analysis
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    Chapter 11 Practice Enterprise and MOOCs in Higher Education Real and Perceived Performances
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    Chapter 12 Organizational Followership: How Social Media Communication Affects Employees’ Behavior
  14. Altmetric Badge
    Chapter 13 Reducing Cognitive Biases Through Digitally Enabled Training. A Conceptual Framework
Attention for Chapter 9: Museums Driving Innovation by Technology, People and Organisation
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Readers on

mendeley
8 Mendeley
Summary
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Chapter title
Museums Driving Innovation by Technology, People and Organisation
Chapter number 9
Book title
Do Machines Dream of Electric Workers?
Published by
Springer, Cham, November 2021
DOI 10.1007/978-3-030-83321-3_9
Book ISBNs
978-3-03-083320-6, 978-3-03-083321-3
Authors

Romanelli, Mauro, Ferrara, Maria

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 13%
Student > Doctoral Student 1 13%
Lecturer > Senior Lecturer 1 13%
Unknown 5 63%
Readers by discipline Count As %
Business, Management and Accounting 2 25%
Computer Science 1 13%
Unknown 5 63%

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