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Cited by 1,211

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Market Networks and Corporate Behavior

Baker, Wayne E.·1990·American Journal of Sociology

Abstract

Data on market relations between a large population of corporations and investment banks are used to study the organization-market interforce-the pattern of direct market ties between a firm and its banks. Forms of interfaces range from a long-term, exclusive tie (the relationship interface) to many short-lived, episodic ties (the transaction interface), with hybrid forms between the two poles. Contrary to widespread belief, the article finds that strong relationships still exist. Transactions interfaces are rare. Most firms use hybrid interfaces. A firm's interface is conceptualized as the intentional result of its efforts to reduce dependence and exploit power advantages. Observed interfaces are shown to be related systematically to various power-dependence concepts, including resource intensity (number of transactions and dollar amounts raised), criticality (the availability of resource alternatives), power asymmetry between a firm and its main bank, organization size, standardization of exchange, and the use of tandem strategies (director interlocks).

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Metadata

Authors
Baker, W. E.
Venue
American Journal of Sociology
Published
1990-11
Volume
96
Issue
3
Pages
589-625
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W1982695941
Cited by
1,211
References
3
FWCI
31.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Market Networks and Corporate Behavior. https://app.cochat.ai/papers/10.1086/229573
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Baker, W. E. (1990). Market Networks and Corporate Behavior. American Journal of Sociology. https://doi.org/10.1086/229573

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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.