COMBATING FRAUD WITH THE USE OF ARTIFICIAL INTELLIGENCE WITHIN PUBLIC-LISTED COMPANIES IN MALAYSIA / OTHILIA WONG.
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TextPublication details: Kuala Lumpur : Asia Pacific University, 2020Description: 133 pages : illustrations ; 30 cmSubject(s): Fraud -- Prevention -- Malaysia | Commercial crimes -- Malaysia | Artificial intelligence -- Financial applications | Technological innovationLOC classification: PG-24-0146Online resources: Available in APres - Requires login to view full text. Dissertation note: A project submitted in partial fulfillment of the requirements of Asia Pacific University of Technology and Innovation for the degree of B.A. (Hons) in Accounting and Finance with a specialism in Forensic Accounting (UC3F1906AF(FA)). Summary: The growing concern on fraud in the economy has caused tremendous changes to the economy and society and with the rapid growth of technology, especially in the field of artificial intelligence, has provide an avenue to fight the uprising of fraud. The purpose of this study is to evaluate the effectiveness of combating fraud with the use of artificial intelligence within public listed companies in Malaysia. Four different variables that affect the combating fraud are identified to be tested in this study which include machine learning, blockchain technology, fuzzy logic, and robotic process automation.
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Reference
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APU Library Reference Collection | Undergraduate Theses | PG-24-0146 (Browse shelf (Opens below)) | 1 | Not for loan (Restricted access) | Available in APres | 00018589 |
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A project submitted in partial fulfillment of the requirements of Asia Pacific University of Technology and Innovation for the degree of B.A. (Hons) in Accounting and Finance with a specialism in Forensic Accounting (UC3F1906AF(FA)).
The growing concern on fraud in the economy has caused tremendous changes to the economy and society and with the rapid growth of technology, especially in the field of artificial intelligence, has provide an avenue to fight the uprising of fraud. The purpose of this study is to evaluate the effectiveness of combating fraud with the use of artificial intelligence within public listed companies in Malaysia. Four different variables that affect the combating fraud are identified to be tested in this study which include machine learning, blockchain technology, fuzzy logic, and robotic process automation.
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