Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 384

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Keeping Directors in Line: Social Distancing as a Control Mechanism in the Corporate Elite

Open access
Westphal, James D., Khanna, Poonam·2003·Administrative Science Quarterly

Abstract

In this study, we consider the social process by which the corporate elite may have resisted pressure from stakeholders to adopt changes in corporate governance that limit managerial autonomy. We examine (1) how directors who participate in corporate governance changes that reflect greater board control over management may be subjected to a kind of informal social sanctioning, which we refer to as social distancing, on other boards; (2) how the tendency for directors to experience social distancing may be moderated by their status in the corporate elite; and (3) how directors who experience such social control could be deterred from participating subsequently in governance changes that threaten the interests of fellow top managers. We test our hypotheses with survey data on processes of social control from a sample of directors and CEOs at Forbes 500 companies and archival data on director participation in four corporate governance changes. The findings show that (1) directors who participate in governance changes that threaten managerial interests experience a higher level of social distancing on other boards, particularly when they have low to medium status in the corporate elite, and (2) directors are less likely to participate in such changes if they have recently experienced social distancing (directly or indirectly). Our theory and empirical tests ultimately address the question of how, or by what social process, boards of directors help maintain the solidarity of the corporate elite and serve the interests of corporate leaders.

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 · 10.2307/3556678

Cites

7 of 7 references verified0 citation errors · 0 not checkable

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

Cites

Show all 7 references

Cited by

Metadata

Authors
Westphal, J. D., & Khanna, P.
Venue
Administrative Science Quarterly
Publisher
JSTOR
Published
2003-09
Volume
48
Issue
3
Pages
361-398
ISSN
  • 0001-8392 (ISSN-L)
  • 1930-3815
OpenAlex
W2130890314
Cited by
384
References
7
FWCI
13.68
Type
journal article
Language
en
Open access
green

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

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.