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Closing the Gender Pay Gap in Medicine

Overview of attention for book
Cover of 'Closing the Gender Pay Gap in Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: How Healthcare Organizations Can Benefit from a Road Map to Close the Gender Pay Gap
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    Chapter 2 Organizational Culture, Practices, and Patterns of Interaction that Drive the Gender Pay Gap in Medicine: Second-Generation Gender Bias and Other Complexities
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    Chapter 3 How Compensation Is Determined and Potential Pitfalls for Pay Equity
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    Chapter 4 Regulatory and Legal Considerations Regarding Salary Equity
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    Chapter 5 Utilizing Change Management Principles to Establish Organizational Infrastructure and Operations That Drive Salary Equity
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    Chapter 6 Organizational Strategies to Support the Culture Change Necessary to Sustain Salary Equity
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    Chapter 7 Exemplar: Closing the Gender Pay Gap at the Medical College of Wisconsin
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    Chapter 8 A Road Map for Closing the Gender Pay Gap in Medicine: How Organizations Can Begin the Journey
Attention for Chapter 1: Introduction: How Healthcare Organizations Can Benefit from a Road Map to Close the Gender Pay Gap
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Citations

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Readers on

mendeley
6 Mendeley
Summary Dimensions citations
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Chapter title
Introduction: How Healthcare Organizations Can Benefit from a Road Map to Close the Gender Pay Gap
Chapter number 1
Book title
Closing the Gender Pay Gap in Medicine
Published by
Springer, Cham, January 2021
DOI 10.1007/978-3-030-51031-2_1
Book ISBNs
978-3-03-051030-5, 978-3-03-051031-2
Authors

Amy S. Gottlieb

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 %
Unspecified 2 33%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Unspecified 2 33%
Economics, Econometrics and Finance 1 17%
Unknown 3 50%

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