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Gibson, E., Daim, T.U. and Dabić, M. 
ORCID: 0000-0001-8374-9719,
2019.
Evaluating university industry collaborative research centers.
Technological Forecasting and Social Change, 146, pp. 181-202.
ISSN 0040-1625
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Abstract
This research provides performance metrics for cooperative research centers that enhance translational research through partnerships formed by government, industry and academia. Centers are part of complex ecosystems and vary greatly in the type of science conducted, organizational structures and expected outcomes. The ability to realize their objectives depends on transparent measurement systems to assist in decision making in research translation. We introduce a hierarchical decision model that uses both quantitative and qualitative metrics. A generalizable model is developed based upon program goals. The results are validated through consultation with experts. The method is illustrated using data from the National Science Foundation's industry/university cooperative research center (IUCRC) program. The methodology provides a basis for a generalizable model and measurement system to compares performance of university science and engineering focused research centers supported by industry and government.
| Item Type: | Journal article | ||||||
|---|---|---|---|---|---|---|---|
| Publication Title: | Technological Forecasting and Social Change | ||||||
| Creators: | Gibson, E., Daim, T.U. and Dabić, M. | ||||||
| Publisher: | Elsevier | ||||||
| Date: | September 2019 | ||||||
| Volume: | 146 | ||||||
| ISSN: | 0040-1625 | ||||||
| Identifiers: |
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| Divisions: | Schools > Nottingham Business School | ||||||
| Record created by: | Linda Sullivan | ||||||
| Date Added: | 24 Jun 2019 08:24 | ||||||
| Last Modified: | 07 Jun 2021 03:00 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/36897 |
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