Forensic Accounting in the Digital Age: Utilizing AI, Blockchain, and Data Analytics in Financial Crime Investigations

Muhammed Zakir Hossain, Annatul Islam Hredoy and Md. Jobaer Rahman Rashid
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Muhammed Zakir Hossain: Associate Professor, Department of Business Studies, State University of Bangladesh, Bangladesh
Annatul Islam Hredoy: Carlson School of Management, University of Minnesota, United States of America
Md. Jobaer Rahman Rashid: Humphrey School of Public Affairs, University of Minnesota, United States of America

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Abstract: This research paper examines the role and efficacy of forensic accounting in financial crime investigations, emphasizing its importance in identifying and mitigating various forms of financial fraud, such as money laundering, embezzlement, and financial statement manipulation. This study employs a mixed-method approach, integrating qualitative interviews with forensic accountants and quantitative survey data, to investigate the techniques and tools utilized in forensic accounting and the challenges encountered by professionals in the discipline. The results demonstrate that although forensic accounting methods are proficient in detecting financial crimes, significant deficiencies exist in the available tools, alongside challenges including jurisdictional obstacles and elevated investigation expenses. This research enhances the comprehension of forensic accounting practices and provides recommendations for enhancing fraud detection techniques and regulatory structures. It also proposes directions for future research, specifically in examining the potential of emerging technologies, such as artificial intelligence and blockchain, to enhance forensic accounting investigations.

Keywords: Investigative Techniques; Financial Fraud; Fraud Detection; Financial Crime; Forensic Accounting (search for similar items in EconPapers)
Date: 2025-10-30
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Published in European Journal of Science and Modern Technologies, 2025, 1 (5), pp.90-102. ⟨10.59324/ejsmt.2025.1(5).09⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05736408

DOI: 10.59324/ejsmt.2025.1(5).09

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