Crime detection operational model based on evaluation of anti-money laundering law in Iran

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EHSANI BAHMAN; Hendiani Abdollah; GHASEMI AHMAD; NIAZKHANI MORTEZA

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Journal: Police Management Studies Year:2020 | Volume:14 | Issue:4 Page(s): 357-373

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Title

Crime detection operational model based on evaluation of anti-money laundering law in Iran

Author(s)

EHSANI BAHMAN | Hendiani Abdollah | GHASEMI AHMAD | NIAZKHANI MORTEZA | Issue Writer Certificate

Keywords

Law assessmentQ1

crime discoveryQ1

money laundering lawQ1

money launderingQ1

operational modelQ1

Abstract

Background and Aim: Considering the global dimensions of the fight against money laundering and the destructive effects of money laundering on the Iranian economy, the detection of money laundering has been considered by crime detection units. The present study was conducted to evaluate the anti-money laundering law in Iran in order to provide an operational model for crime detection. Method: This research is applied in terms of purpose and was conducted in combination. In the qualitative phase, the data foundation method was used and in the quantitative phase, the LISREL structural equation modeling method was used. Qualitative sector participants included anti-money laundering experts in the banking, economic, judicial, and police crime detection units. Participants in this section were purposefully selected and after the twentieth person, theoretical saturation was achieved. In the quantitative section, 45 people were randomly selected. The data collection tool was a semi-structured interview in the qualitative part and a researcher-made questionnaire in the quantitative part. Linear regression test was used to test the research hypotheses. Results: Applying the Lewis Modar model in evaluating anti-money laundering law is 69% effective in the operational model of crime detection. Also, 71 indicators were approved based on this model. Lewis Moder's modified and indigenous model is 48% decisive in the operational pattern of money laundering detection. Results: From the point of view of experts and based on LISREL structural equation model, the final indicators of the effectiveness of legal and regulatory measures, the effectiveness of supervisory and control measures and the effectiveness of enforcement measures have been effective on the operational pattern of money laundering detection. The crime of money laundering is significant.

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APA: Copy

EHSANI, BAHMAN, Hendiani, Abdollah, GHASEMI, AHMAD, & NIAZKHANI, MORTEZA. (2020). Crime detection operational model based on evaluation of anti-money laundering law in Iran. POLICE MANAGEMENT STUDIES QUARTERLY (PMSQ), 14(4 ), 357-373. SID. https://sid.ir/paper/409363/en

Vancouver: Copy

EHSANI BAHMAN, Hendiani Abdollah, GHASEMI AHMAD, NIAZKHANI MORTEZA. Crime detection operational model based on evaluation of anti-money laundering law in Iran. POLICE MANAGEMENT STUDIES QUARTERLY (PMSQ)[Internet]. 2020;14(4 ):357-373. Available from: https://sid.ir/paper/409363/en

IEEE: Copy

BAHMAN EHSANI, Abdollah Hendiani, AHMAD GHASEMI, and MORTEZA NIAZKHANI, “Crime detection operational model based on evaluation of anti-money laundering law in Iran,” POLICE MANAGEMENT STUDIES QUARTERLY (PMSQ), vol. 14, no. 4 , pp. 357–373, 2020, [Online]. Available: https://sid.ir/paper/409363/en

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