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Internal Crowdsourcing in Companies

Overview of attention for book
Cover of 'Internal Crowdsourcing in Companies'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Internal Crowdsourcing: Theoretical Foundations and Practical Applications
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    Chapter 2 An Introduction to Internal Crowdsourcing
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    Chapter 3 Managing the Crowd: A Literature Review of Empirical Studies on Internal Crowdsourcing
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    Chapter 4 Systematization Approach for the Development and Description of an Internal Crowdsourcing System
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    Chapter 5 Design of a Process and Role Model for Internal Crowdsourcing
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    Chapter 6 An Empirical Analysis of an Internal Crowdsourcing Platform: IT Implications for Improving Employee Participation
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    Chapter 7 Proposals for the Future of Internal Crowdsourcing: A Trade Union-Based Approach
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    Chapter 8 Good Practice at GASAG Group: Recommendations for the Application of Internal Crowdsourcing from a Business Perspective
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    Chapter 9 The Living Group Works Council Agreement as Social Innovation: Internal Crowdsourcing in the GASAG Group
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    Chapter 10 The Use of Internal Crowdsourcing for Qualification and Competence Development in Organizations
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    Chapter 11 Power to the Network: The Concept of Social Business and Its Relevance for IC
Attention for Chapter 10: The Use of Internal Crowdsourcing for Qualification and Competence Development in Organizations
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Citations

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Summary Dimensions citations
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Chapter title
The Use of Internal Crowdsourcing for Qualification and Competence Development in Organizations
Chapter number 10
Book title
Internal Crowdsourcing in Companies
Published by
Springer, Cham, December 2020
DOI 10.1007/978-3-030-52881-2_10
Book ISBNs
978-3-03-052880-5, 978-3-03-052881-2
Authors

André Uhl, Edgar Göll

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Unknown 2 67%
Readers by discipline Count As %
Social Sciences 1 33%
Unknown 2 67%

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