Machine learning in predicting anti-money laundering compliance with protection motivation theory among professional accountants.

Machine learning in predicting anti-money laundering compliance with protection motivation theory among professional accountants.

Money laundering represents a significant global threat, necessitating the vigilance of professional accountants in detecting and reporting suspicious customer activities within their jurisdiction to the relevant authorities. Despite the legal obligation to comply with anti-money laundering regulati...

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Bibliographic Details
Main Authors: Masrom, Suraya, Ahmad Tarmizi, Masetah, Halid, Sunarti, Abdul Rahman, Rahayu, Abd. Rahman, Abdullah Sani, Ibrahim, Roslina
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science (IAES) 2023
Subjects:
T58.6-58.62 Management information systems
Online Access:http://eprints.utm.my/105348/2/RoslinaIbrahim2023_MachineLearninginPredictingAntiMoneyLaundering.pdf
http://eprints.utm.my/105348/
https://doi.org/10.21833/ijaas.2023.07.007
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/105348/2/RoslinaIbrahim2023_MachineLearninginPredictingAntiMoneyLaundering.pdf
http://eprints.utm.my/105348/
https://doi.org/10.21833/ijaas.2023.07.007

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