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Cooperative Research Centers and Faculty Satisfaction: Multi-level Predictive Analysis

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Abstract

This chapter contribution to the edited volume acknowledges that there is little empirical research focused on the benefits and risks that academic faculty may expose themselves to while participating in these partnership arrangements. Beth M. Coberly and Denis O. Gray address three questions What outcomes do faculty experience from their participation in a cooperative research center (CRC)? To what extent is faculty satisfaction with their involvement in CRCs explained by variables at different levels of analysis? The use of quantitative and qualitative questionnaire data from 275 faculty involved in federally-funded CRCs. Their descriptive findings suggest participating faculty receive a mix of tangible and intangible benefits and few report negative consequences. Predictive analyses indicated faculty satisfaction is explained by variables operating at the organizational (university research funding), center (primary discipline), and individual level (faculty benefits and symmetry with industry). Qualitative analysis of respondent concerns highlighted some promising new predictors. Implications for future research and policy are discussed. For a complementary examination of faculty benefits and challenges when participating in centers, see the chapter contribution by Garrett-Jones and colleagues on role conflict amongst academic faculty working in Australian CRCs.

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Notes

  1. 1.

    For more information on IUCRCs, please refer to the program website (http://www.nsf.gov/eng/iip/iucrc/) or Managing the IUCRC: A Guide for Directors and Other Stakeholders (Gray and Walters 1998).

  2. 2.

    In order to assess the impact of including non-IUCRCs in our sample, our analyses were re-run excluding faculty from these centers. The results did not change.

  3. 3.

    Predictive analyses were run with rank and tenure status coded as continuous and categorical predictors. Treating them as categorical predictors did not change our findings.

  4. 4.

    Responses were given on a 5-point Likert scale with a score of one meaning a very negative impact, a score of 3 meaning no impact, and a score of 5 meaning a very positive impact. A factor loading of 0.40 was used as the inclusion criterion for a factor.

  5. 5.

    While this finding might seem counter-intuitive some faculty have told us that they find industry’s influence less onerous than the imperative to publish in the most disciplinary journals and that requirements for regular reports by industry helps faculty publish sooner.

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Acknowledgements

This project was completed with support from the National Science Foundation Industry/University Cooperative Research Centers Program (EEC-0631414) and its Science and Technology Centers Program (CHE-9876674). The authors appreciate the help of the faculty respondents who cooperated in this study and the feedback provided during the editorial process. We would also like to thank Dr. Drew Rivers and anonymous reviewers for their constructive editorial comments and suggestions on the manuscript.

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Correspondence to Beth M. Coberly .

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Coberly, B.M., Gray, D.O. (2013). Cooperative Research Centers and Faculty Satisfaction: Multi-level Predictive Analysis. In: Boardman, C., Gray, D., Rivers, D. (eds) Cooperative Research Centers and Technical Innovation. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4388-9_5

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