{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T13:13:50Z","timestamp":1782825230204,"version":"3.54.5"},"reference-count":17,"publisher":"Emerald","issue":"5\/6","license":[{"start":{"date-parts":[[2012,6,8]],"date-time":"2012-06-08T00:00:00Z","timestamp":1339113600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,6,8]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>The results of this study provide useful decision information to implement online auditing projects.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>An effective method for analyzing the importance degree of influence factors of online auditing performance quantitatively is provided in this study.<\/jats:p><\/jats:sec>","DOI":"10.1108\/03684921211243257","type":"journal-article","created":{"date-parts":[[2014,11,4]],"date-time":"2014-11-04T05:15:22Z","timestamp":1415078122000},"page":"587-598","source":"Crossref","is-referenced-by-count":10,"title":["Influence factors analysis of online auditing performance assessment"],"prefix":"10.1108","volume":"41","author":[{"given":"Wei","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sifeng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wally J.","family":"Smieliauskas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gerhard","family":"Trippen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","reference":[{"key":"key2022012420291475000_b1","doi-asserted-by":"crossref","unstructured":"Alles, M.G., Kogan, A. and Vasarhelyi, M.A. (2002), \u201cFeasibility and economics of continuous assurance\u201d, Auditing: A Journal of Theory and Practice, Vol. 21 No. 1, pp. 125\u201038.","DOI":"10.2308\/aud.2002.21.1.125"},{"key":"key2022012420291475000_b2","unstructured":"Chen, W. 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