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Cited by 351

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Corporate mandatory disclosure practices in Bangladesh

Akhtaruddin, M.·2005·The International Journal of Accounting

Abstract

This study reports the results of an empirical investigation of the extent of mandatory disclosure by 94 listed companies in Bangladesh. It also reports the results of the association between company-specific characteristics and mandatory disclosure of the sample companies. The results indicate that companies in general have not responded adequately to the mandatory disclosure requirements of the regulatory bodies. It has been found that companies, on average, disclose 44% of the items of information, which leads to the conclusion that prevailing regulations are ineffective monitors of disclosure compliance by companies. Company age appears to be an insignificant factor for mandatory disclosure. And there is little support for industry size as a predictor of mandatory disclosure except where size is measured by sales. Then it is marginally significant. Profitability was also found to have no effect on disclosure. And status, i.e., whether a company is modern or traditional also has no effect on mandatory disclosure.

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Metadata

Authors
Akhtaruddin, M.
Venue
The International Journal of Accounting
Published
2005-01
Volume
40
Issue
4
Pages
399-422
ISSN
0020-7063 (ISSN-L)
OpenAlex
W2034319077
Cited by
351
References
19
FWCI
12.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Corporate mandatory disclosure practices in Bangladesh. https://app.cochat.ai/papers/10.1016/j.intacc.2005.09.007
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Akhtaruddin, M. (2005). Corporate mandatory disclosure practices in Bangladesh. The International Journal of Accounting. https://doi.org/10.1016/j.intacc.2005.09.007

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.