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Purpose This paper aims to determine how forensic accounting contributes to fraud detection and prevention and answer the following research questions: What are the standard techniques for fraud detection and prevention; and What are the significant challenges that hinder the application of forensic accounting in fraud prevention and detection? Design/methodology/approach The authors use the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method to carry out a systematic literature review (SLR) to identify and assess the existing literature on forensic accounting. Findings There exists a positive correlation between forensic accounting and fraud detection and prevention. Moreover, in both the empirical and non-empirical findings, the authors note that fraud is complex, and in carrying out fraud investigations, one must be aware of its complexity. Practical implications Although drug counterfeiting is a sector where forensic accountants have paid less attention, it is a rapidly expanding fraud area. This paper finds that to detect fraud at an early stage, one must increase consumer understanding of basic forensic accounting techniques by implementing accurate supply chain monitoring systems and inventory management controls and conducting adequate and effective regulatory, honest and legitimate customs inspections. Social implications The major factors that restrict forensic accounting are a lack of awareness and education. Hence, it is essential to incorporate forensic accounting in undergraduate and post-graduate courses. Originality/value From the existing literature, it has been observed that very few studies have been conducted in this field using the PRISMA and SLR techniques. Also, the authors carried out a holistic study that focuses on three different areas – fraud detection, fraud prevention and the challenges in forensic accounting.
Purpose This paper aims to determine how forensic accounting contributes to fraud detection and prevention and answer the following research questions: What are the standard techniques for fraud detection and prevention; and What are the significant challenges that hinder the application of forensic accounting in fraud prevention and detection? Design/methodology/approach The authors use the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method to carry out a systematic literature review (SLR) to identify and assess the existing literature on forensic accounting. Findings There exists a positive correlation between forensic accounting and fraud detection and prevention. Moreover, in both the empirical and non-empirical findings, the authors note that fraud is complex, and in carrying out fraud investigations, one must be aware of its complexity. Practical implications Although drug counterfeiting is a sector where forensic accountants have paid less attention, it is a rapidly expanding fraud area. This paper finds that to detect fraud at an early stage, one must increase consumer understanding of basic forensic accounting techniques by implementing accurate supply chain monitoring systems and inventory management controls and conducting adequate and effective regulatory, honest and legitimate customs inspections. Social implications The major factors that restrict forensic accounting are a lack of awareness and education. Hence, it is essential to incorporate forensic accounting in undergraduate and post-graduate courses. Originality/value From the existing literature, it has been observed that very few studies have been conducted in this field using the PRISMA and SLR techniques. Also, the authors carried out a holistic study that focuses on three different areas – fraud detection, fraud prevention and the challenges in forensic accounting.
Purpose This study aims to investigate the perceived willingness to adopt and use Forensic Accounting and Investigation Standards (FAIS) in Forensic Accounting and Investigation (FAI) assignments. The study also analyses the usefulness of FAIS in achieving the principle of natural justice (PNJ) concerning fairness. Design/methodology/approach The respondents comprised 118 accounting professionals whose online survey responses were analyzed descriptively. This study also uses a 2 × 2 contingency analysis representing two levels of usefulness and fairness. Findings The results revealed that FAIS 410 received the highest mean rating while FAIS 240 received the lowest mean rating in willingness to adopt and use FAIS, and most of the standards were related to the PNJ concerning fairness. The study shows the accounting professionals’ readiness to adapt and flourish with the help of these Standards in FAI assignments. Practical implications The findings of this study will increase practitioners’ awareness of the usefulness and fairness of FAIS, which will enhance their understanding of the significance of implementing these newly developed standards to harmonize the investigative process in forensic audits. Additionally, the findings may encourage regulators, researchers, accounting bodies and their members to adopt and conduct further FAIS studies that can advance financial crime prevention, detection and investigation knowledge. Originality/value This paper substantially contributes to the literature as it is the first to examine the usefulness and fairness of “Forensic Accounting and Investigation Standards” in the context of forensic audits and investigations, which has not been previously explored.
Economic crime is an increasing threat to the economic development of a state. While the legislative system tries to create tools to detect and prevent fraud, criminals continue to look for ways to commit and benefit from economic crimes, including fraud, money laundering, sanctions avoidance and corruption. Forensic accounting applies scientific techniques and accounting principles to detect fraudulent activities. Due to technological progress, corporate scams have increased enormously, and therefore, the need for forensic accountants has increased. Professionals specializing in this type of accounting don’t just examine financial statements: they take a holistic approach, incorporating statistical analysis, big data and machine learning, interviews, and physical observation to arrive at the truth – which is just as crucial to due diligence as it is to criminal cases.
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