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Outlier detection in auditing : integrating unsupervised learning within a multilevel framework for general ledger analysis
Cho, Soohyun; Vasarhelyi, Miklos A.; Te-Wierik, Liam - In: The journal of information systems : JIS ; a semiannual … 38 (2024) 2, pp. 123-142
Persistent link: https://www.econbiz.de/10014633223
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Artificial intelligence co-piloted auditing
Gu, Hanchi; Moffitt, Kevin; Vasarhelyi, Miklos A. - In: International journal of accounting information systems 54 (2024), pp. 1-30
Persistent link: https://www.econbiz.de/10015072615
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The ethical implications of using artificial intelligence in auditing
Munoko, Ivy; Brown-Liburd, Helen L.; Vasarhelyi, Miklos A. - In: Journal of business ethics : JBE 167 (2020) 2, pp. 209-234
Persistent link: https://www.econbiz.de/10012316462
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Attended process automation in audit : a framework and a demonstration
Zhang, Chanyuan; Thomas, Chanta; Vasarhelyi, Miklos A. - In: The journal of information systems : JIS ; a semiannual … 36 (2022) 2, pp. 101-124
Persistent link: https://www.econbiz.de/10013412379
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Editorial: continuous audit intelligence as a service (CAIaaS) and intelligent app recommendations
Dai, Jun; Vasarhelyi, Miklos A. - In: Journal of emerging technologies in Accounting 17 (2020) 2, pp. 1-15
Persistent link: https://www.econbiz.de/10014308063
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Measuring audit quality with surprise scores : evidence from China and the U.S.
Hu, Hanxin; Sun, Ting; Vasarhelyi, Miklos A.; Zhang, Min - In: The journal of information systems : JIS ; a semiannual … 38 (2024) 2, pp. 51-78
Persistent link: https://www.econbiz.de/10014633220