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Cited by 502

The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.

COMPETITIVE DYNAMICS OF INTERFIRM RIVALRY.

Baum, J. A. C., Korn, H. J.·1996·Academy of Management Journal
DOI 10.2307/256781
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Abstract

In this study, we examined how firm-specific competitive conditions influence firms' patterns of market entry and exit, focusing on two features of firms' competitive conditions: market domain overlap, which measures the potential for competition, and multimarket contact, which measures the potential for mutual forbearance. A dynamic analysis of California commuter airlines from 1979 through 1984 showed that increases in market domain overlap raised airlines rates of market entry and exit, but increases in multimarket contact lowered them, especially in markets clearly dominated by a single airline. Thus, paradoxically, close competitors are not the most intense rivals: airlines that meet in multiple markets are less aggressive toward each other than those that meet in one or a few markets.

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Registry

Crossref · 10.2307/256781

Cites

75 of 75 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Baum, J. A. C., & Korn, H. J.
Venue
Academy of Management Journal
Publisher
Academy of Management
Published
1996-04-01
Volume
39
Issue
2
Pages
255-291
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
DOI
10.2307/256781
OpenAlex
W2033064994
Cited by
502
References
75
FWCI
18.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: COMPETITIVE DYNAMICS OF INTERFIRM RIVALRY. https://app.cochat.ai/papers/10.2307/256781
The paper
Baum, J. A. C., & Korn, H. J. (1996). COMPETITIVE DYNAMICS OF INTERFIRM RIVALRY. Academy of Management Journal. https://doi.org/10.2307/256781

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.