4.4 Article

Influence factors analysis of online auditing performance assessment A combined use between AHP and GIA

期刊

KYBERNETES
卷 41, 期 5-6, 页码 587-598

出版社

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/03684921211243257

关键词

Systems theory; Continuous auditing; Online auditing; Performance assessment; GIA; Auditing; Analytical hierarchy process

资金

  1. National Natural Science Foundation of China [70971068, 70701018]
  2. Humanities and Social Science Foundation of the Ministry of Education of China [08JC630045]
  3. Qin Lan Project of Jiangsu Province
  4. Priority Academic Program Development of Jiangsu Higher Education Institutions (Auditing Science and Technology)

向作者/读者索取更多资源

Purpose - Consistent with the requirements of online auditing performance assessments, the purpose of this paper is to propose an influence factors analysis method using analytic hierarchy process (AHP) and grey incidence analysis (GIA) to analyze the importance degree of influence factors on online auditing performance quantitatively. Design/methodology/approach - 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 computed. Finally, representing the performance assessment results computed by AHP and values of each assessment criterion as two sequences, GIA is used to analyze the importance degree of influence factors of online auditing performance quantitatively. Findings - The main, secondary and minor influence factors of performance assessment of the online auditing project are identified. For online auditing projects, costs incurred are not the main influence factors of performance. Online auditing projects with higher benefits, higher quality and better design are the really effective ones. Besides, there is no direct relationship between the value of the weight of each criterion and the value of the degree of grey incidence. Practical implications - The results of this study provide useful decision information to implement online auditing projects. Originality/value - An effective method for analyzing the importance degree of influence factors of online auditing performance quantitatively is provided in this study.

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