Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 562

The DOI matches its Crossref record.

Political Dynamics and the Circulation of Power: CEO Succession in U.S. Industrial Corporations, 1960-1990

Ocasio, William·1994·Administrative Science Quarterly

Abstract

This paper is based on my doctoral dissertation research at Stanford University. An earlier version appeared in the Academy of Management Best Papers Proceedings 1993. I would like to thank my dissertation committee, Jeff Pfeffer, Bill Barnett, Jim March, and Joel Podolny, as well as Deborah Ancona, Mauro Guillen, Marshall Meyer, Paul Osterman, Maureen Scully, John Van Maanen, Marc Ventresca, Jim Walsh, and three anonymous ASO reviewers for invaluable advice, suggestions, and encouragement. Any remaining errors are my own. To explain patterns of political dynamics, this paper develops a model of the circulation of power and compares it with an alternative model, the institutionalization of power, in an event history analysis of CEO succession. The circulation of power emphasizes the internal contests for control and opposition to the CEO that emerge with increased executive tenure and under conditions of economic adversity. The study finds support for an increasing rate of CEO succession during the first decade of tenure, consistent with the model of circulation, followed by a slow decline afterward, consistent with institutionalization. The effects of economic adversity were found to trigger circulation when combined with long prior board tenure and large board size. Also, contrary to conventional views, under economic adversity, more inside board members increase CEO succession.'

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/2393237

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 562

Metadata

Authors
Ocasio, W.
Venue
Administrative Science Quarterly
Publisher
JSTOR
Published
1994-06
Volume
39
Issue
2
Pages
285
ISSN
0001-8392 (ISSN-L)
OpenAlex
W1990073668
Cited by
562
References
0
FWCI
17.73
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Political Dynamics and the Circulation of Power: CEO Succession in U.S. Industrial Corporations, 1960-1990. https://app.cochat.ai/papers/10.2307/2393237
The paper
Ocasio, W. (1994). Political Dynamics and the Circulation of Power: CEO Succession in U.S. Industrial Corporations, 1960-1990. Administrative Science Quarterly. https://doi.org/10.2307/2393237

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.