THE ROLE OF POLICE IN ENSURING ECONOMIC SECURITY AND THE POTENTIAL TO ENHANCE THIS ROLE

The police play a crucial role in ensuring Mongolia's economic security and the stability of the financial sector, particularly in effectively combating serious economic crimes like money laundering. To assess the current state of police involvement in economic security and anti-money laundering efforts, the SWOT-AHP analysis method was utilized. This analysis aimed to evaluate the present situation, future economic security, and potential for increased police participation in combating money laundering. Internally, the police organization's strengths include specialized teams, internal cooperation, and a structure to track illicit financial flows. However, weaknesses such as insufficient human resources, weak technology and innovation, and inadequate data supply for monitoring money flow were identified. Externally, favorable conditions like a strong legal framework, international financial support, and opportunities for knowledge exchange were noted. Conversely, challenges such as low public awareness, international crime networks, and political and economic influences were identified as potential obstacles. Overall, enhancing police capabilities and addressing weaknesses will be crucial in ensuring economic security and combating money laundering effectively.

Authors

Institutions

Publication Details

Journal
International Journal of Innovative Technologies in Social Science
Published
2025-03-28
DOI
https://doi.org/10.31435/ijitss.1(45).2025.3175
Citations
1
Primary Topic
Crime, Illicit Activities, and Governance
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE ROLE OF POLICE IN ENSURING ECONOMIC SECURITY AND THE POTENTIAL TO ENHANCE THIS ROLE

Altansukh Norov, Urjin Odkhuu
1 citations
International Journal of Innovative Technologies in Social Science
Crime, Illicit Activities, and Governance
4.20
article

THE ROLE OF POLICE IN ENSURING ECONOMIC SECURITY AND THE POTENTIAL TO ENHANCE THIS ROLE

Altansukh Norov, Urjin Odkhuu
article en
1 citations

Abstract

The police play a crucial role in ensuring Mongolia's economic security and the stability of the financial sector, particularly in effectively combating serious economic crimes like money laundering. To assess the current state of police involvement in economic security and anti-money laundering efforts, the SWOT-AHP analysis method was utilized. This analysis aimed to evaluate the present situation, future economic security, and potential for increased police participation in combating money laundering. Internally, the police organization's strengths include specialized teams, internal cooperation, and a structure to track illicit financial flows. However, weaknesses such as insufficient human resources, weak technology and innovation, and inadequate data supply for monitoring money flow were identified. Externally, favorable conditions like a strong legal framework, international financial support, and opportunities for knowledge exchange were noted. Conversely, challenges such as low public awareness, international crime networks, and political and economic influences were identified as potential obstacles. Overall, enhancing police capabilities and addressing weaknesses will be crucial in ensuring economic security and combating money laundering effectively.

International Journal of Innovative Technologies in Social Science(1(45))
National Defense University (KH), National University of Mongolia (MN)
Openalex Percentile: Top 9%
Crime, Illicit Activities, and Governance
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.