Measures to improve auditor efficiency in fraud detection.
This study focuses on the effects of the availability of the Beneish M-Score Model on the audit risk assessments and fraudulent earnings management detections by experienced and inexperienced auditors.
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2008
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Online Access: | http://hdl.handle.net/10356/10012 |
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sg-ntu-dr.10356-100122023-05-19T05:41:38Z Measures to improve auditor efficiency in fraud detection. Chan, Pearl Yan Yee. Choy, Kelly Pui Yeng. Loh, Jia Hui. Low, Kin Yew Nanyang Business School DRNTU::Business::Auditing::Auditors This study focuses on the effects of the availability of the Beneish M-Score Model on the audit risk assessments and fraudulent earnings management detections by experienced and inexperienced auditors. 2008-09-24T07:38:49Z 2008-09-24T07:38:49Z 2006 2006 Final Year Project (FYP) http://hdl.handle.net/10356/10012 Nanyang Technological University application/pdf |
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DRNTU::Business::Auditing::Auditors Chan, Pearl Yan Yee. Choy, Kelly Pui Yeng. Loh, Jia Hui. Measures to improve auditor efficiency in fraud detection. |
description |
This study focuses on the effects of the availability of the Beneish M-Score Model on the audit risk assessments and fraudulent earnings management detections by experienced and inexperienced auditors. |
author2 |
Low, Kin Yew |
author_facet |
Low, Kin Yew Chan, Pearl Yan Yee. Choy, Kelly Pui Yeng. Loh, Jia Hui. |
format |
Final Year Project |
author |
Chan, Pearl Yan Yee. Choy, Kelly Pui Yeng. Loh, Jia Hui. |
author_sort |
Chan, Pearl Yan Yee. |
title |
Measures to improve auditor efficiency in fraud detection. |
title_short |
Measures to improve auditor efficiency in fraud detection. |
title_full |
Measures to improve auditor efficiency in fraud detection. |
title_fullStr |
Measures to improve auditor efficiency in fraud detection. |
title_full_unstemmed |
Measures to improve auditor efficiency in fraud detection. |
title_sort |
measures to improve auditor efficiency in fraud detection. |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/10012 |
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1770565033078554624 |