Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 320

The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.

Wall Street vs. Main Street: Firm Strategies for Defending Legitimacy and Their Impact on Different Stakeholders

Lamin, Anna, Zaheer, Srilata·2012·Organization Science

Abstract

We assess the effect of firm strategies to defend legitimacy on two different stakeholder groups—the public (“Main Street”) and the investment community (“Wall Street”). We identify four types of firm strategies in response to challenges to their legitimacy—denial, defiance, decoupling, and accommodation— drawing from theory and from case studies of international outsourcing. We then develop and test hypotheses on the effectiveness of these strategies in defending legitimacy across these two stakeholder groups, using data from media reports and press releases on all 126 distinct accusations of the use of international sweatshops by U.S. firms from 1990 through 2002. We find that denial and defiance responses hinder the recovery of legitimacy on Main Street, and none of the responses has a positive effect on public perception, whereas Wall Street is unaffected by denial and defiance but views decoupling favorably. Main Street and Wall Street thus perceive firm actions to defend its legitimacy quite differently, suggesting that these worlds operate by separate moralities in which Main Street appears to privilege fairness as a core value, whereas Wall Street privileges profit.

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 · 10.1287/orsc.1100.0631

Cites

73 of 73 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 73 references

Cited by

See all 320

Metadata

Authors
Lamin, A., & Zaheer, S.
Venue
Organization Science
Published
2012-02
Volume
23
Issue
1
Pages
47-66
ISSN
  • 1047-7039 (ISSN-L)
  • 1526-5455
OpenAlex
W2153070359
Cited by
320
References
73
FWCI
30.75
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: Wall Street vs. Main Street: Firm Strategies for Defending Legitimacy and Their Impact on Different Stakeholders. https://app.cochat.ai/papers/10.1287/orsc.1100.0631
The paper
Lamin, A., & Zaheer, S. (2012). Wall Street vs. Main Street: Firm Strategies for Defending Legitimacy and Their Impact on Different Stakeholders. Organization Science. https://doi.org/10.1287/orsc.1100.0631

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.