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Cited by 409

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Corporate Board Governance and Voluntary Disclosure of Executive Compensation Practices*

Open access
Laksmana, Indrarini·2008·Contemporary Accounting Research

Abstract

This study examines how corporate boards respond to investor demands for information on executive compensation practices and whether certain board and compensation committee characteristics, as proxies for board governance quality, are associated with the extent of board disclosure of compensation practices. A unique feature of this study is the development of a comprehensive checklist of 23 compensation-related items. I validate this index by showing that the disclosure scores are inversely related to two measures of information asymmetry: bid-ask spread and return volatility. This provides evidence that greater compensation disclosure reduces information asymmetry. The study presents some evidence that boards with the power to act independently from management provide more details about executive compensation practices. Moreover, it contributes to the literature on corporate governance and disclosure by showing that greater commitment of directors to perform their duties results in greater transparency.

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Metadata

Authors
Laksmana, I.
Venue
Contemporary Accounting Research
Publisher
Wiley
Published
2008-12
Volume
25
Issue
4
Pages
1147-1182
ISSN
  • 0823-9150 (ISSN-L)
  • 1911-3846
OpenAlex
W3124457484
Cited by
409
References
65
FWCI
30.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Corporate Board Governance and Voluntary Disclosure of Executive Compensation Practices*. https://app.cochat.ai/papers/10.1506/car.25.4.8
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Laksmana, I. (2008). Corporate Board Governance and Voluntary Disclosure of Executive Compensation Practices*. Contemporary Accounting Research. https://doi.org/10.1506/car.25.4.8

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.