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; 3 of the 3 references it cites were found in a registry or an index.

Focusing the Corporate Product: Securities Analysts and De-diversification

Zuckerman, Ezra W.·2000·Administrative Science Quarterly

Abstract

The issue of corporate control is examined through an analysis of the de-diversification activity of publicly held American firms from 1985 to 1994. Prominent accounts of such behavior depict newly powerful shareholders as having demanded a dismantling of the inefficient, highly diversified corporate strategies that arose in the late 1950s and the 1960s. This paper highlights an additional factor that spurred such divestiture: the need to present a coherent product identity in the stock market. It is argued that because they straddle the industry categories that investors—and securities analysts, who specialize by industry—use to compare like assets, diversified firms hinder efforts at valuing their shares. As a result, managers of such firms face pressure from analysts to dediversify so that their stock is more easily understood. Results indicate that, in addition to such factors as weak economic performance, de-diversification is more likely when a firm's stock price is low and there is a significant mismatch between its corporate strategy and the identity attributed to the firm by analysts.

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 · 10.2307/2667110

Cites

3 of 3 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 3 references

Cited by

See all 562

Metadata

Authors
Zuckerman, E. W.
Venue
Administrative Science Quarterly
Publisher
JSTOR
Published
2000-09
Volume
45
Issue
3
Pages
591-619
ISSN
  • 0001-8392 (ISSN-L)
  • 1930-3815
OpenAlex
W2167596930
Cited by
562
References
3
FWCI
54.09
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: Focusing the Corporate Product: Securities Analysts and De-diversification. https://app.cochat.ai/papers/10.2307/2667110
The paper
Zuckerman, E. W. (2000). Focusing the Corporate Product: Securities Analysts and De-diversification. Administrative Science Quarterly. https://doi.org/10.2307/2667110

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.