Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 624

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

The effects of business–university alliances on innovative output and financial performance: a study of publicly traded biotechnology companies

George, Gerard, Zahra, Shaker A, Wood, D.Robley·2002·Journal of Business Venturing

Abstract

Abstract Companies in the biotechnology industry face major challenges in developing and commercializing new products. Focusing on publicly traded biotechnology firms that are not members of university incubators or research parks, this paper argues that the links these companies develop with universities can have beneficial effects on a company's operations. Analysis of 2457 alliances undertaken by 147 biotechnology firms shows that companies with university linkages have lower research and development (R&D) expenses while having higher levels of innovative output. However, the results do not support the proposition that companies with university linkages achieve higher financial performance than similar firms without such linkages.

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 · 10.1016/s0883-9026(01)00069-6

Cites

5 of 5 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 5 references

Cited by

See all 624

Metadata

Authors
George, G., Zahra, S. A., & Wood, D. R.
Venue
Journal of Business Venturing
Publisher
Elsevier BV
Published
2002-10
Volume
17
Issue
6
Pages
577-609
ISSN
0883-9026 (ISSN-L)
OpenAlex
W2005396663
Cited by
624
References
5
FWCI
16.41
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: The effects of business–university alliances on innovative output and financial performance: a study of publicly traded biotechnology companies. https://app.cochat.ai/papers/10.1016/s0883-9026(01)00069-6
The paper
George, G., Zahra, S. A., & Wood, D. R. (2002). The effects of business–university alliances on innovative output and financial performance: a study of publicly traded biotechnology companies. Journal of Business Venturing. https://doi.org/10.1016/s0883-9026(01)00069-6

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.