• DocumentCode
    2930808
  • Title

    An exploration research of the independent college operation efficiency indicators based on dea

  • Author

    Lin Hong ; Qing Li ; Yu Wang

  • Author_Institution
    Sch. of Manage., Beijing Normal Univ. Zhuhai, Zhuhai, China
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    340
  • Lastpage
    343
  • Abstract
    The independent college is an emerging strength of higher education, which first appeared at the end of the last century. A total of 298 independent colleges have been approved by the state up until 2012. There are three kinds of independent college school systems. The independent colleges help relieving the problem of too many college students. Because of the particularity of the independent colleges, it is difficult to have a specific method to compare their operation performance with that of other institutions of higher education. Data envelopment analysis (DEA) is a non-parametric evaluation method that is suitable for processing multi-input, multi-output complex systems evaluation problems and analyzing management information. In the paper, data envelopment analysis is used to analyze the independent colleges´ operation efficiencies by selecting three well-developed independent colleges as the decision-making unit (DMU). This paper has done some exploration research on the operation efficiency indicators.
  • Keywords
    data envelopment analysis; educational institutions; further education; DEA; DMU; data envelopment analysis; decision making unit; exploration research; higher education; independent college operation efficiency indicators; management information; nonparametric evaluation method; operation performance; Data envelopment analysis; Decision making; Educational institutions; Employment; Libraries; Performance evaluation; DEA; DMU; independent college; operation efficiency indicator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2013 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2166-9430
  • Print_ISBN
    978-1-4673-5247-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2013.6714794
  • Filename
    6714794