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Management, Valuation, and Risk for Human Capital and Human Assets

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Cover of 'Management, Valuation, and Risk for Human Capital and Human Assets'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction—What Kind of an Asset Is Human Capital, How Should It Be Measured, and in What Markets?
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    Chapter 2 Team Composition and Project-Based Organizations: New Perspectives for Human Resource Management
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    Chapter 3 The Effect of Virtual Work Environments and Social Systems on Human Capital and Assets
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    Chapter 4 Perspectives on Human Capital Initiatives
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    Chapter 5 Models of Human Capital Valuation: A Review with Examples
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    Chapter 6 Investments in Human Capital: Elements of Investments, Their Valuation, a True and Fair View of Financial Statements Compiled by Using the Classical Approach, and the Related Financial Performance Ratios
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    Chapter 7 Intellectual Capital Efficiency and Corporate Performance: Some Empirical Evidence
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    Chapter 8 An Assessment of the Accounting Perspective on Intellectual Capital and Some Results from the European Union
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    Chapter 9 Human Capital Assessment: A Labor Accounting or a Management Control Perspective?
Attention for Chapter 8: An Assessment of the Accounting Perspective on Intellectual Capital and Some Results from the European Union
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Citations

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Chapter title
An Assessment of the Accounting Perspective on Intellectual Capital and Some Results from the European Union
Chapter number 8
Book title
Management, Valuation, and Risk for Human Capital and Human Assets
Published by
Palgrave Macmillan, New York, January 2014
DOI 10.1057/9781137355720_8
Book ISBNs
978-1-349-47216-1, 978-1-137-35572-0
Authors

Michele Di Marcantonio, Marco Mattei

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Economics, Econometrics and Finance 1 50%

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