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Research Paper Volume 7 Issue 3 3129 - 3144 June 16, 2024

From Diamonds to Deception: Exploring Money Laundering as a White-Collar Crime through a Criminological Analysis of the Nirav Modi Scam

Lead author · Corresponding
Sarrah Nayar
Student at University of Mumbai, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.117795
Abstract

This article examines the concept of white-collar crime through the lens of the high-profile Nirav Modi fraud case in India. It delves into the theoretical underpinnings of white-collar crime, tracing its origins to Edwin Sutherland's seminal work and exploring its manifestations in corporate and occupational contexts. The intricate dynamics of money laundering, a prevalent facet of white-collar criminality, are also scrutinized. The article dissects the modus operandi of the Nirav Modi scam, shedding light on the collusion between bank employees and Modi's companies to defraud Punjab National Bank of nearly $1.8 billion through unauthorized bank guarantees. Employing the Fraud Triangle and Fraud Diamond theories, it probes the motives, opportunities, and rationalizations that enabled this audacious fraud. Furthermore, the far-reaching aftermath of the scandal is examined, spanning stock market turmoil, regulatory reforms, and legislative developments in the Prevention of Money Laundering Act. Finally, the article explores criminological perspectives on white-collar crime prevention, underscoring the need for a multifaceted approach encompassing victim education, deterrence, and stringent oversight measures.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 7, Issue 3, Page 3129 - 3144
DOI: https://doij.org/10.10000/IJLMH.117795
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CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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