From crime prevention to norm compliance: anti-money laundering (AML) policy adoption in Singapore from 1989–2021

Menon, Rishik Elias

doi:10.1108/jmlc-12-2021-0134

Cited by 2 publications

(1 citation statement)

References 55 publications

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“…This study also refers to the situational crime prevention theory (SCPT) proposed by Clarke (1997) and Menon (2023) to develop a fraud and financial crime prevention in the banking services industry. In practice, this theory makes perpetrators better understand and take advantage of certain situations that have the potential to support the occurrence of crimes (Gilmour, 2016).…”

Section: Introductionmentioning

confidence: 99%

Fraud prevention in the Indonesian banking sector using anti-fraud strategy

Shonhadji,

Agus Irwandi

2023

Banks and Bank Systems

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Fraud and financial crimes involving banking employees have become serious and complex problems throughout the world, including Indonesia. This study aimed to analyze a fraud prevention through anti-fraud strategy and modified situational crime prevention theory. Data were obtained using a questionnaire distributed and interviewed to accounting officers, marketing departments, customer services, tellers, operational supervisors and risk management of banks in Indonesia. Respondent filled in 217 questionnaires completely. The data analysis technique used is a path analysis technique with the WarpPLS. The results show that anti-fraud strategies have a positive effect on fraud prevention. Banking in Indonesia has succeeded in implementing anti-fraud strategy through a whistleblowing policy, which focuses on efforts to protect whistleblowers and disclose potential fraud, compliance with the implementation of internal controls in activity units, and the proper functioning of risk management. The modified situational crime prevention theory also has a positive effect, and religiosity is a moderating variable. The results have also informed that banks have attempted to create conditions and awareness for perpetrators that the benefits of fraud are less and not commensurate with the high risks borne, and narrowing opportunities and providing strict sanctions to perpetrators can prevent fraud.

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Section: Introductionmentioning

confidence: 99%

Fraud prevention in the Indonesian banking sector using anti-fraud strategy

Shonhadji,

Agus Irwandi

2023

Banks and Bank Systems

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Corruption prevention in organizational clustering in Indonesia: through the role of the HU-model in detecting corruption

Umar,

Purba,

Siahaan

et al. 2024

JMLC

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Purpose This paper aims to test the effectiveness of the Haryono Umar (HU)-model used in corruption prevention strategies through corruption detection as a tool for detecting corruption because the mode of corruption is increasingly dynamic and complex by focusing on the causes of corruption: pressure, opportunity, rationalization, capability and lack of integrity. Design/methodology/approach The research uses multiple regression methods, classification and regression trees and the HU-model application system developed by researchers. The research sample uses secondary data from financial reports on the Indonesia stock exchange according to organizational clustering (such as red, grey and green areas). Findings The research result showed that of the 470 sample companies, there were 445 companies, or 98.9%, in the red cluster (indicated corruption), 19 companies, or 4.04, in the green clusters or not indicated corruption and six companies, or 1.28%, were included in the grey cluster or potential corruption. By knowing the cluster of an organization, efforts to prevent corruption can be made effective and efficient. Implementing the HU-model proves that the amount of pressure, the abundance of opportunities, the ease of rationalization and the high level of position and authority strengthen the drive for corruption if there is a lack of integrity. Research limitations/implications Each internal organization can use this model independently and find conditions related to corruption so that they can immediately take action to prevent it. Originality/value The application of the HU-model is a discovery in preventing corruption by focusing on the possibility of corruption occurring in each organization through organizational clustering.

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From crime prevention to norm compliance: anti-money laundering (AML) policy adoption in Singapore from 1989–2021

Cited by 2 publications

References 55 publications

Fraud prevention in the Indonesian banking sector using anti-fraud strategy

Fraud prevention in the Indonesian banking sector using anti-fraud strategy

Corruption prevention in organizational clustering in Indonesia: through the role of the HU-model in detecting corruption

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