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

• 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

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...