• DocumentCode
    1728377
  • Title

    Influence factors analysis of online auditing performance assessment based on AHP and GIA

  • Author

    Chen, Wei ; Liu, Si Feng ; Smieliauskas, Wally J. ; Trippen, Gerhard

  • Author_Institution
    Dept. of Inf. Manage., Nanjing Audit Univ., Nanjing, China
  • fYear
    2011
  • Firstpage
    37
  • Lastpage
    41
  • Abstract
    An influence factors analysis method for online auditing performance assessment based on AHP (analytic hierarchy process) and GIA (grey incidence analysis) is proposed in this paper according to the requirements of online auditing performance assessments. In this method, a grey incidence model is developed to analyze the influence factors of online auditing performance based on the characteristics of online auditing. Then, the AHP is used to compute the weights of each assessment criterion of online auditing, and the performance of online auditing are calculated. Finally, representing the performance assessment results computed by AHP and values of each assessment criterion are set as two sequences, and GIA is used to analyze the importance degree of influence factors of online auditing performance quantitatively. The results of this study provide useful decision information to implement online auditing projects in China. Additionally, an effective method for analyzing the importance degree of influence factors of online auditing performance quantitatively is provided in this study.
  • Keywords
    auditing; decision making; grey systems; IT performance assessment; analytic hierarchy process; grey incidence analysis; influence factors analysis; online auditing performance assessment; Bismuth; Matrix decomposition; AHP; GIA; IT performance assessment; continuous auditing; online auditing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6044129
  • Filename
    6044129