Abstract
Background: Banks and financial institutions are vulnerable to money laundering (ML) as a result of crime proceeds infiltrating banks in the form of significant cash deposits. Improved financial crime compliance processes and systems enable anti-ML (AML) analysts to devote considerable time and effort to case investigation and process quality work, thereby lowering financial risks by reporting suspicious activity in a timely and effective manner. This study uses Job Characteristics Theory (JCT) to evaluate the AML system through the job satisfaction and motivation of its users. The purpose of this study is to determine how satisfied AML personnel are with their jobs and how motivated they are to work with the system. Methods: This cross-sectional study used JCT to investigate the important elements impacting employee satisfaction with the AML system. The five core dimensions of the job characteristics were measured using a job diagnostic survey. The respondents were employees working in the AML department of a Malaysian bank, and the sample group was chosen using a purposive sampling approach. A total of 100 acceptable replies were gathered and analysed using various statistical approaches. A motivating potential score was generated for each employee based on five main job characteristics. Results: Findings revealed that five core job characteristics, namely, skill diversity, task identity, task importance, autonomy and feedback, positively influence the AML system employees' job satisfaction. However, skill variety and autonomy are found to be low, which are reflected in the poor motivating potential score. Conclusion: This study examined the characteristics of the AML system and its users' job satisfaction. Findings revealed that task significance is the most widely recognised characteristic, followed by feedback and task identity. However, there is a lack of skill variety and autonomy, which must be addressed to improve employee satisfaction with the AML system.
Highlights
By 2026, the worldwide anti-money laundering (AML) market is expected to reach $3.7 billion, with a compound annual growth rate (CAGR) of 18.3% throughout the projected period (Kbvresearch, 2020)
The questionnaire was created in Google forms and distributed through online to the employees of AML department of the bank from 1st November 2018 until 31st December 2018. 400 employees were working in the department during the data collection period and the questionnaire was sent out to all of them
The majority are between 22 to 29 years old, and 36% of them have under 2 years of experience with AML department, while 51% have 2 to 5 years of experience
Summary
By 2026, the worldwide anti-money laundering (AML) market is expected to reach $3.7 billion, with a compound annual growth rate (CAGR) of 18.3% throughout the projected period (Kbvresearch, 2020). Banks and financial institutions help people move money globally and keep track of their clients’ identities and financial habits. Governments throughout the world have recruited their help in detecting and preventing ML, which is a critical instrument in long-term economic development and the battle against crime (Zaman et al, 2020). Banks and financial institutions are vulnerable to money laundering (ML) as a result of crime proceeds infiltrating banks in the form of significant cash deposits. This study uses Job Characteristics Theory (JCT) to evaluate the AML system through the job satisfaction and motivation of its users. Results: Findings revealed that five core job characteristics, namely, skill diversity, task identity, task importance, autonomy and feedback, positively influence the AML system employees’ job satisfaction. Conclusion: This study examined the characteristics of the AML article can be found at the end of the article
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