Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 300

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Assessing the Impact of Organizational Practices on the Productivity of University Technology Transfer Offices: An Exploratory Study

Open access
Siegel, Donald, Waldman, David, Link, Albert·1999·National Bureau of Economic Research

Abstract

We present quantitative and qualitative evidence (field research) on university technology transfer offices (TTOs).These offices negotiate licensing agreements with firms to commercialize university-based technologies.A stochastic frontier production function framework is used to assess the relative productivity of 113 university TTOs.Our field research provided a useful reality check on the specification of the econometric model.The empirical findings imply that licensing activity is characterized by constant returns to scale.Environmental and institutional factors appear to explain some of the variation in TTO efficiency.Relative productivity may also depend on organizational practices in university management of intellectual property, which potentially attenuate palpable differences in the motives, incentives, and organizational cultures of the parties to licensing agreements.Unfortunately, there are no existing data on such practices, so we rely on inductive, qualitative methods to identify them.We present detailed information on our use of these methods.This information may be useful to economists who are contemplating fieldwork.Based on 55 interviews of managers/entrepreneurs, scientists, and administrators at five research universities, we conclude that the most critical organizational factors are likely to be reward systems for faculty, TTO staffing and compensation practices, and actions taken by administrators to extirpate informational and cultural barriers between universities and firms.

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 · 10.3386/w7256

Cites

40 of 40 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 40 references

Cited by

See all 300

Metadata

Authors
Siegel, D., Waldman, D., & Link, A.
Venue
National Bureau of Economic Research
Published
1999-07
OpenAlex
W2075629269
Cited by
300
References
40
Type
report
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

How to cite

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

This page
CoChat. (2026). Citation check: Assessing the Impact of Organizational Practices on the Productivity of University Technology Transfer Offices: An Exploratory Study. https://app.cochat.ai/papers/10.3386/w7256
The paper
Siegel, D., Waldman, D., & Link, A. (1999). Assessing the Impact of Organizational Practices on the Productivity of University Technology Transfer Offices: An Exploratory Study. National Bureau of Economic Research. https://doi.org/10.3386/w7256

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.