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The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Putting Patents in Context: Exploring Knowledge Transfer from MIT

Open access
Agrawal, Ajay, Henderson, Rebecca·2002·Management Science

Abstract

In this paper we explore the degree to which patents are representative of the magnitude, direction, and impact of the knowledge spilling out of the university by focusing on the Massachusetts Institute of Technology (MIT), and in particular, on the Departments of Mechanical and Electrical Engineering. Drawing on both qualitative and quantitative data, we show that patenting is a minority activity: a majority of the faculty in our sample never patent, and publication rates far outstrip patenting rates. Most faculty members estimate that patents account for less than 10% of the knowledge that transfers from their labs. Our results also suggest that in two important ways patenting is not representative of the patterns of knowledge generation and transfer from MIT: patent volume does not predict publication volume, and those firms that cite MIT papers are in general not the same firms as those that cite MIT patents. However, patent volume is positively correlated with paper citations, suggesting that patent counts may be reasonable measures of research impact. We close by speculating on the implications of our results for the difficult but important question of whether, in this setting, patenting acts as a substitute or a complement to the process of fundamental research.

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Metadata

Authors
Agrawal, A., & Henderson, R.
Venue
Management Science
Published
2002-01
Volume
48
Issue
1
Pages
44-60
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2096968483
Cited by
1,017
References
18
FWCI
51.37
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Putting Patents in Context: Exploring Knowledge Transfer from MIT. https://app.cochat.ai/papers/10.1287/mnsc.48.1.44.14279
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Agrawal, A., & Henderson, R. (2002). Putting Patents in Context: Exploring Knowledge Transfer from MIT. Management Science. https://doi.org/10.1287/mnsc.48.1.44.14279

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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.