Improved DEA Evaluation Models of IRTU Knowledge Innovation

  • Lin-hua Bu
  • Xiao-feng Ju
  • Xiao-hong Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 163)


To address the inadequacy of traditional Data Envelopment Analysis (DEA) as it can only handle efficiency evaluation of a single point in time, this paper proposes a new efficiency evaluation model of knowledge innovation of Innovative Research Teams in University (IRTU) with DEA improved by taking into consideration the fact that IRTU knowledge innovation occurs over multiple time periods and is characterized by time sequentiality. The improved model can not only handle knowledge innovation at a single point in time, but also that at several points in time. An empirical research validates the improved model.


IRTU Knowledge innovation DEA model Impetus system 



This work was supported by project (10YJC630008) supported by China Ministry of Education Humanities and Social Sciences Fund, NSFC (71073039), SRDF (20112302110022), by China Post-doctoral Fund and the Fundamental Research Funds for the Central Universities (Grant No.HIT.NSRIF.2012026).


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Harbin Institute of TechnologyHarbinPeople’s Republic of China

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