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Title:
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A MODEL-BASED APPROACH FOR PREVENTING AND DETECTING FRAUD IN ACCOUNTS PAYABLE: AUSTRALIA AND NEW ZEALAND CASE STUDIES |
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Author(s):
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Jianxing Li, Greg Stephens, Richard Vidgen, Peter Roebuck |
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ISBN:
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978-972-8939-09-0 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2010 |
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Edition:
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Single |
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Keywords:
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Fraud Detection, Prevention, Accounts Payable, Information Systems, Controls |
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Type:
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Full Paper |
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First Page:
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156 |
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Last Page:
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164 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Fraud is a matter of grave social and economic concern. For organizations, accounts payable fraud remains the most common type of fraud because it dominates most payment functions which are facing lots of challenges. Traditional anti-fraud approaches are widely accepted but demand very detailed knowledge about the fraud, IT security domain and the specific business environment. Also, the successful implementation of solutions would potentially be costly and require highly qualified expertise. This paper is developing a model-based approach to improve the efficiency and effectiveness for proactively preventing and detecting fraud in accounts payable. The approach is broadly characterized by: (1) Using IT techniques to facilitate the protection of accounts payable. (2) Providing an extensive set of red flags and IT control practices by conducting literature review and empirical study. (3) Modeling the fraud and information security knowledge on a very concrete and highly granular level. |
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