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Cited by 385

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Institutional Sources of Boundary-Spanning Structures: The Establishment of Investor Relations Departments in the Fortune 500 Industrials

Rao, Hayagreeva, Sivakumar, Kumar·1999·Organization Science

Abstract

The authors analyze the coercive and mimetic conditions leading to the establishment of investor relations departments among Fortune 500 industrial firms during the 1984–1994 period. The results show that antimanagement resolutions brought to a vote by social movement activists significantly contributed to the establishment of investor relations departments. Intense scrutiny by financial analysts also impelled firms to create such departments. Whereas social movement activists framed shareholder rights as a problem and compelled organizations to uphold them, professional analysts subtly coerced organizations to signal their commitment to investor rights by creating boundary-spanning structures. That solution was transmitted through board interlocks to other organizations.

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Metadata

Authors
Rao, H., & Sivakumar, K.
Venue
Organization Science
Published
1999-02
Volume
10
Issue
1
Pages
27-42
ISSN
  • 1047-7039 (ISSN-L)
  • 1526-5455
OpenAlex
W1977522850
Cited by
385
References
56
FWCI
8.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Institutional Sources of Boundary-Spanning Structures: The Establishment of Investor Relations Departments in the Fortune 500 Industrials. https://app.cochat.ai/papers/10.1287/orsc.10.1.27
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Rao, H., & Sivakumar, K. (1999). Institutional Sources of Boundary-Spanning Structures: The Establishment of Investor Relations Departments in the Fortune 500 Industrials. Organization Science. https://doi.org/10.1287/orsc.10.1.27

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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.