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DEA based multi-period evaluation system for research in academia
Authors:So Young Sohn  Yoonseong Kim
Affiliation:1. Department of Engineering, Qunnipiac University, Hamden, CT 06518, United States;2. Tulane Energy Institute, Tulane University, New Orleans, LA 70118, United States;3. Department of Engineering Management and Systems Engineering, George Washington University, Washington, DC 20052, United States;1. Department of Engineering Graphics, Design and Projects, University of Jaen, Spain;2. Department of Animal and Vegetal Biology and Ecology, Faculty of Experimental Sciences, University of Jaen, Spain;3. Department of Animal Biology, Faculty of Biology, University of Barcelona, Spain;1. Department of Economics, University of Memphis, 427 Fogelman Admin Building, Memphis, TN 38152, United States;2. Federal Communications Commission, 445 12th Street, SW, Washington, DC 20554, United States;1. University of Medicine and Pharmacy “Carol Davila,” Bucharest, Romania;2. Emergency Institute of Cardiovascular Diseases “Prof. Dr. C. C. Iliescu,” Cardiology Department, Bucharest, Romania;3. Elias Emergency University Hospital, Cardiology Department, Bucharest, Romania;1. Department of Economics, Bar-Ilan University, 52900 Ramat-Gan, Israel;2. IZA, Bonn, Germany;3. Department of Economics, Ariel University, 40700 Ariel, Israel
Abstract:Various types of incentive systems are widely used by many companies and organizations for better performances. However, despite the demand for the fair incentive systems, those systems in academia have not been well established and fairly operated. Using an example of a professor evaluation system, we examine two main problems of the existing incentive systems in academia – ignoring the input aspect and focusing only on the short-term performance. By applying the super-efficiency DEA and considering multi-period output, we show that the input factors and the time trend of outcomes need to be incorporated for the fair evaluation of professors and their research performance.
Keywords:
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