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The preferred type of financial intelligence for early detection of terrorist financing activities

Hussain Syed Gowhor (HDR Student, Department of Security Studies and Criminology, Macquarie University, North Ryde, Sydney, Australia)

Journal of Money Laundering Control

ISSN: 1368-5201

Article publication date: 20 August 2021

Issue publication date: 8 June 2022

257

Abstract

Purpose

This paper aims to inform the readers about the preferred type of financial intelligence for early detection of terrorist financing activities.

Design/methodology/approach

Literature review methodology was adopted to find the existing approaches of financial intelligence and logical reasoning was applied to sort out what type of financial intelligence is more preferable for early detection of terrorist financing activities.

Findings

It was found that proactive financial intelligence executed through financial intelligence tools is the most preferred type of financial intelligence for early detection of terrorist financing activities.

Research limitations/implications

The research will pave the way for further research on how to design financial intelligence tools for the early detection of terrorist financing activities.

Practical implications

The financial intelligence units will use the preferred type of financial intelligence for the early detection of terrorist financing activities.

Social implications

It will help to establish peace in the society by thwarting terrorist conspiracies because early detection of terrorist financing through financial intelligence tools will stop the flow of funds to and from terrorists.

Originality/value

The originality of the paper lies in distinguishing proactive financial intelligence from reactive financial intelligence.

Keywords

Acknowledgements

The author is thankful to Dr Alex Simpson of the Department of Security Studies and Criminology at Macquarie University for his valuable opinion on the draft of the paper.

Citation

Gowhor, H.S. (2022), "The preferred type of financial intelligence for early detection of terrorist financing activities", Journal of Money Laundering Control, Vol. 25 No. 3, pp. 681-690. https://doi.org/10.1108/JMLC-07-2021-0070

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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