• DocumentCode
    3264200
  • Title

    Measurement of Managerial Performance Based on Two-Stage Relative Efficiency Method

  • Author

    Xu Yan-li ; Feng Ying-jun

  • Author_Institution
    Sch. of Manage., Harbin Normal Univ., Harbin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    Two-stage relative efficiency model, a newly named analytical method, is presented here in order to measure managerial performance fairly. This method evaluates managerial performance by eliminating the influence of existing conditions. Empirical results show that managers in firms with relatively superior existing conditions still need to work hard to maintain their competitiveness and achieve better than before performance. On the other hand, managers in those firms with relatively inferior existing conditions can also achieve better than before performance and fair evaluation if they conscientiously make great efforts. The method presented here can avoid penalizing good managers who manage within an unfavorable existing condition as well as avoid rewarding poor managers who manage in a favorable existing condition. In a word, the two-stage relative efficiency model is an equitable and objective measuring method for efficiency.
  • Keywords
    data envelopment analysis; management science; data envelopment analysis; management science; managerial performance measurement; objective measuring method; two-stage relative efficiency method; Computational intelligence; Conference management; Data envelopment analysis; Electrochemical machining; Electronic mail; Environmental factors; Measurement errors; Performance analysis; Statistics; Working environment noise; data envelopment analysis (DEA); management possibility set; managerial performance; objectively basic condition; two-stage relative efficiency method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.253
  • Filename
    5231010