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Cited by 517

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Association between Competition and Managers' Business Segment Reporting Decisions

Harris, Mary Stanford·1998·Journal of Accounting Research

Abstract

This paper investigates the relation between levels of industry competition and managers' choices of which operations to report as business segments. One reason managers have objected to segment disclosures is that these disclosures allegedly provide commercially valuable information to competitors that is not available elsewhere. This objection might seem to imply that managers are most reluctant to provide segment disclosures for operations in highly competitive industries; however, if abnormally high earnings tend to occur in less competitive industries, managers' segment reporting discretion may be exercised to avoid reporting these operations as business segments. Using a sample of 929 firms reporting business segments in their annual reports during 1987 to 1991, I estimate a logit model of management's decision to report operations in a given industry as a segment as a function of two measures of industry competition: the four-firm concentration ratio and a measure of the speed of profit adjustment. The

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Metadata

Authors
Harris, M. S.
Venue
Journal of Accounting Research
Publisher
JSTOR
Published
1998
Volume
36
Issue
1
Pages
111
ISSN
0021-8456 (ISSN-L)
OpenAlex
W2333932433
Cited by
517
References
1
FWCI
23.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Association between Competition and Managers' Business Segment Reporting Decisions. https://app.cochat.ai/papers/10.2307/2491323
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Harris, M. S. (1998). The Association between Competition and Managers' Business Segment Reporting Decisions. Journal of Accounting Research. https://doi.org/10.2307/2491323

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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.