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Cited by 463

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

New Evidence on Instrumental, Conceptual, and Symbolic Utilization of University Research in Government Agencies

Amara, Nabil, Ouimet, Mathieu, Landry, RÉjean·2004·Science Communication

Abstract

This article addresses three questions: What is the extent of instrumental, conceptual, and symbolic use of university research in government agencies? Are there differences between the policy domains in regard to the extent of each type of use? What are the determinants of instrumental, conceptual, and symbolic use of university research? Based on a survey of 833 government officials, the results suggest that (1) the three types of use of research simultaneously play a significant role in government agencies, (2) there are large differences between policy domains in regard to research utilization, and (3) a small number of determinants explain the increase of instrumental, conceptual, and symbolic utilization of research in a different way.

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Metadata

Authors
Amara, N., Ouimet, M., & Landry, R.
Venue
Science Communication
Published
2004-09
Volume
26
Issue
1
Pages
75-106
ISSN
  • 0164-0259 (ISSN-L)
  • 1075-5470
  • 1552-8545
OpenAlex
W2002747675
Cited by
463
References
2
FWCI
11.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: New Evidence on Instrumental, Conceptual, and Symbolic Utilization of University Research in Government Agencies. https://app.cochat.ai/papers/10.1177/1075547004267491
The paper
Amara, N., Ouimet, M., & Landry, R. (2004). New Evidence on Instrumental, Conceptual, and Symbolic Utilization of University Research in Government Agencies. Science Communication. https://doi.org/10.1177/1075547004267491

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.