Job characteristics of a Malaysian bank's anti-money laundering system and its employees' job satisfaction.

Journal: F1000Research
Published Date:

Abstract

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. 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. 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. 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.

Authors

  • Rathimala Kannan
    Department of Information Technology, Faculty of Management, Multimedia University, Cyberjaya, Selangor, 63100, Malaysia.
  • Yonesh Reddiar
    Anti-Money Laundering Specialist, Standard Chartered Global Business Services, Kuala Lumpur, Kuala Lumpur, 57000, Malaysia.
  • Kannan Ramakrishnan
    Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selangor, 63100, Malaysia.
  • Marrynal S Eastaff
    Department of Information Technology, Hindusthan College of Arts and Science, Coimbatore, Tamil Nadu, 641028, India.
  • Shobana Ramesh
    PG and Research Department of Management Studies, Hindusthan College of Arts and Science, Coimbatore, Tamil Nadu, 641028, India.