DocumentCode :
3115130
Title :
A grey model for evaluating research performance of university researchers in China
Author :
Zhang, Zhuo ; Xu, Zan ; Luo, Qunhui ; Chuanmin, Mi
Author_Institution :
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
2039
Lastpage :
2044
Abstract :
Research performance is an important subject for evaluating university researchers and projects they take. In China, many universities set an objective to establish research universities, in which research is one of the most important tasks of faculty members. Therefore, research performance becomes a key criterion for evaluating a faculty member. However, there is no suitable evaluation methodology to assess the performance of faculty members in order to conduct them to pursue research excellence. This paper suggests evaluating research performance of university faculty members from the aspects of research funding, academic publications, industrial applications, teaching by research, and academic ethics. A grey evaluation model is used to measure the research performance based on these aspects. It uses a multi-level indicator system to present the major performance areas. A grey coefficient is provided to comprehensively evaluate the research performance of a faculty member in university, so that it can be used as a reference for his/her future promotion. It also can be used to assess his /her capabilities for granting new research projects in the future.
Keywords :
educational institutions; ethical aspects; grey systems; China; academic ethics; academic publications; faculty members; grey coefficient; grey evaluation model; industrial applications; research performance; teaching; university researchers; Cybernetics; Sliding mode control; grey evaluation; performance; research; university researchers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location :
Singapore
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2383-5
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2008.4811591
Filename :
4811591
Link To Document :
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