Evaluating university industry collaborative research centers

被引:55
作者
Gibson, Elizabeth [1 ]
Daim, Tugrul U. [2 ,3 ]
Dabic, Marina [4 ,5 ]
机构
[1] Univ Colorado, Boulder, CO 80309 USA
[2] Portland State Univ, Portland, OR 97207 USA
[3] Chaoyang Univ Technol, Taichung, Taiwan
[4] Nottingham Trent Univ, Nottingham, England
[5] Univ Zagreb, Zagreb, Croatia
基金
美国国家科学基金会;
关键词
Research and Development Management; Hierarchical Decision Modeling; Industry University Collaboration; National Science Foundation; OF-THE-LITERATURE; COOPERATIVE RESEARCH; RESEARCH IMPACT; TRIPLE-HELIX; TECHNOLOGY; INNOVATION; PERFORMANCE; KNOWLEDGE; SCIENCE; NETWORK;
D O I
10.1016/j.techfore.2019.05.014
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:181 / 202
页数:22
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