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39 articles for “Fraud”
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Critical Analysis of Online Fraud Prevention and Legal Frameworks inIndia: A Meta-Analytic Review
Abstract: Increased digitalization of the financial and government systems in India means that there is an augmented prospect of online frauds, therefore making it a challenge that needs integrated efforts with superior technologies and solid legal frameworks. This meta- analytic review critically looks into the amalgamation of emergent aspects of artificial intelligence, deep learning, and biometric authentication with the emerging legal aspects of fraud prevention in the Indian situation. Biometric systems, …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 9, Issue 2, 2026 · pp. 12–21 Read article
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Domestic Payment Frauds in India (2022–2025): A Quantitative Analysis of Trends, Risk Indicators, and Policy Implications
Abstract: The rapid rise of digital payment systems in India, especially the Unified Payments Interface (UPI), has changed how financial transactions are made by improving convenience, speed, and access for everyone. However, this increase in digital payments has also led to more cyber-related risks, particularly domestic payment fraud. This research aims to look at the patterns and implications of domestic payment fraud in India from September 2022 to March 2025, using …
Published in NOLEGEIN Journal of Business Risk management · Vol. 8, Issue 2, 2025 · pp. 6–15 Read article
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Optimizing Enterprise Financial Risk Management: An Advanced Ensemble Machine Learning Framework for Transactional Fraud Mitigation and Business Continuity
Abstract: Transactional fraud represents a critical threat to enterprise risk management (ERM) and corporate governance, draining billions annually from global financial infrastructures. The Nasdaq Global Financial Crime Report estimates total fraud losses at $485.6 billion annually, with credit card fraud alone accounting for $28.6 billion. Managing this operational vulnerability is severely challenged by data asset asymmetry, where legitimate transactions dwarf fraudulent anomalies by a ratio exceeding 500:1. Standard classification models trained …
Published in NOLEGEIN Journal of Business Risk management · Vol. 9, Issue 2, 2026 Read article
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Data Analytics First, Controls Second, Auditing Third: Ranking the Relative Strength of Three Fraud Detection Mechanisms
Abstract: Purpose: In the era of digital finance, organizations deploy multiple mechanisms to combat fraud, including Data-Driven Forensic Analytics (DDFA), Internal Control Integrity (ICI), and Continuous Auditing Systems (CAS). However, practitioners often struggle with resource allocation, unsure which mechanism yields the highest return on investment. This study addresses this gap by empirically ranking the relative strength of these three predictors in explaining Fraud Detection Effectiveness (FDE). Design/methodology/approach: The study synthesizes empirical …
Published in NOLEGEIN Journal of Organizational Behavior Management · Vol. 9, Issue 2, 2026 Read article
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An Empirical Assessment of Integrated Fraud Detection Mechanisms:Evidence from Finance and Audit Professionals
Abstract: This study examines the effectiveness of an integrated fraud detection framework combining data‑driven forensic analytics, internal control systems, and continuous auditing mechanisms. While prior research often examines these components in isolation, this study adopts a unified empirical approach to assess their joint contribution to perceived fraud detection effectiveness. Design/methodology/approach: A quantitative cross‑sectional design is employed using primary survey data collected from 120 finance, audit, and risk professionals across banking, manufacturing, …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 9, Issue 2, 2026 Read article
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The Intelligent Frontier: Orchestrating AI and Machine Learning for Advanced Financial Fraud Detection
Abstract: Traditional rule-based systems cannot match that scale. They are too slow, too rigid, and too reactive. This paper examines how AI and ML are reshaping fraud detection. It evaluates LSTMs, GNNs, and Transformers as detection tools. Mastercard reported a 20% uplift in fraud detection rates. The paper also maps two emerging frontiers: Agentic AI and Quantum Graph Neural Networks. Strategic guidance is offered throughout CFOs and finance leaders. Global financial …
Published in NOLEGEIN Journal of Leadership and Strategic Management · Vol. 9, Issue 2, 2026 · pp. 30–37 Read article
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Predictive Fraud Detection Architecture: A Multi-Method Empirical Evaluation of Data-Driven Forensic Analytics, Internal Control Systems, and Continuous Auditing Using Primary Organizational Data
Abstract: The growing complexity of financial systems and the increasing sophistication of fraudulent activities have intensified the need for predictive and data-driven fraud detection architectures. Traditional audit approaches, characterized by periodic reviews and retrospective analysis, are no longer sufficient to address real-time financial risks. This study develops and empirically evaluates a predictive fraud detection architecture that integrates data-driven forensic analytics, internal control systems, and continuous auditing mechanisms using primary organizational data. …
Published in NOLEGEIN Journal of Business Risk management · Vol. 9, Issue 2, 2026 Read article
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Overcoming corporate fraud
Abstract: This report provides a comprehensive review of corporate fraud, its nature, causes, and potential solutions. Corporate fraud is a significant problem that can take many forms, including embezzlement, financial statement fraud, insider trading, and bribery. The causes of corporate fraud include pressure, opportunity, and rationalization. Companies can take several steps to prevent and detect fraud, including developing a strong ethical culture, implementing internal controls, conducting regular audits, and providing anti-fraud …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 5, Issue 2, 2022 · pp. 48–51 Read article
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When Technology Maturity Matters: a Moderated Regression Study of Forensic Analytics and Fraud Detection
Abstract: Purpose: Data‐driven forensic analytics (DDFA) is widely promoted as a key tool for fraud detection, yet organisations report mixed results. This study investigates whether the effectiveness of DDFA depends on the organisation’s technological maturity – defined asthe sophistication of IT infrastructure, data governance, and analytical skills. Design/Methodology/Approach: A two‐wave longitudinal survey was conducted with 210 finance and audit professionals in a large emerging economy; 178 completed both waves (retention 84.8%). …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 9, Issue 2, 2026 Read article
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From Perception to Empirical Association: an Integrated Assessment of Fraud Detection Effectiveness Using Forensicanalytics, Internal Controls, and Continuous Auditing
Abstract: The increasing complexity of financial transactions and the limitations of perception‑based fraud detection studies necessitate empirically grounded frameworks that move beyond subjective assessments. This study advances the literature by examining the associations among data‑driven forensic analytics (DDFA), internal control systems (ICS), continuous auditing (CA), and fraud detection effectiveness (FDE) using an integrated empirical assessment. An integrated model combining these three mechanisms is developed. A quantitative cross‑sectional research design is adopted, …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 2, 2026 Read article
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Human–AI Collaboration in Fraud Detection, Risk Scoring, and Compliance Automation in Fintech
Abstract: As artificial intelligence (AI) systems assume increasingly consequential roles in financial fraud detection, risk scoring, and regulatory compliance, the question of how human expertise and machine intelligence are best integrated has become central to both operational effectiveness and ethical governance. Human–AI collaboration in fintech is not a transitional state on the path to full automation; it is a principled design choice that combines the pattern recognition and scalability of machine …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 9, Issue 2, 2026 · pp. 8–16 Read article
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A Case Study on Analysis of Fraud Issues in E-tailing
Abstract: India has gone through a huge transformation shifting its gear from traditional to modern methods of retailing in 21st Century and developed countries have already implemented and channelized the profit out it. The society of developed countries has also acknowledged this revolution. The Globalization has led to transformation in technology and led born of e-tailing for business and consumer related services. In recent years e-tailing as acquired a prominence in …
Published in NOLEGEIN Journal of Management Information Systems · Vol. 4, Issue 2, 2021 · pp. 18–27 Read article
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Legal Framework in Deep Diving into Financial Frauds via Ad Click, Credit Card Management and Document Dispensation in E-commerce Transactions
Abstract: The financial industry is at a critical juncture with unheard-of potential and threats as it charts its course into a digital future. The advent of machine learning (ML) and artificial intelligence (AI) represents a paradigm change, offering a potent toolkit to bolster defences against more elusive and pernicious financial scams. In order to understand the dynamics of these frauds, pinpoint the weaknesses that allow them to spread, and clarify the …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 8, Issue 1, 2025 · pp. 28–33 Read article
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AI in Finance: Fraud Detection and Risk Assessment
Abstract: Artificial Intelligence (AI) is changing how the financial world spots scams and handles risks. It acts like a super-smart helper, catching trouble fast—whether it’s crooks stealing money or loans going sour. This paper explores how AI helps banks and companies stay safe, digs into what experts have learned, and look at what’s coming next. We also ask a big question to guide future work, all in simple words anyone can …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 8, Issue 2, 2025 · pp. 45–50 Read article
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What DO Audit Directors SAY? Qualitative Validation of the CAS Control Adjustment → Detection Pathway
Abstract: Purpose: Quantitative studies have established that Continuous Auditing Systems (CAS) are positively associated with Fraud Detection Effectiveness (FDE), and that Internal Control Integrity (ICI) mediates this relationship. However, the underlying mechanisms remain a “black box.” This study provides qualitative validation of the mediation pathway, exploring how real‑time monitoring translates into improved detection outcomes through control adjustments. Design/methodology/approach: Semi‑structured interviews were conducted with 15 audit directors (10 internal audit heads, 5 …
Published in NOLEGEIN Journal of Leadership and Strategic Management · Vol. 9, Issue 2, 2026 · pp. 50–58 Read article
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Whistleblowing Mechanisms and Corporate Scams in India: a Critical Study
Abstract: Corporate scams have become a major concern for corporate governance in India, raising questions about the effectiveness of internal monitoring systems. Among various governance mechanisms, whistleblowing plays an important role in identifying unethical practices, financial fraud, and misconduct within organisations. The present study critically examines the effectiveness of whistleblowing mechanisms in detecting and preventing corporate scams in India and identifies the challenges faced by whistleblowers in reporting misconduct. The study …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 9, Issue 2, 2026 Read article
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From Perception to Prediction? a Cross‑sectionalsurvey of 120 Finance Professionals with Fulldiagnostic Checks
Abstract: Purpose: Perception‑based surveys are common in forensic accounting research but are often criticised for lacking methodological rigor, particularly regarding common method bias, multicollinearity, and discriminant validity. This study addresses these criticisms by presenting a cross‑sectional survey of 120 finance and audit professionals that implements and transparently reports a comprehensive suite of diagnostic checks – including Harman’s single‑factor test, full collinearity VIF, confirmatory factor analysis (CFA), average variance extracted (AVE), composite …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 2, 2026 Read article
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Growing Application of Forensic Accounting in Assessment and Control of Financial Crimes
Abstract: Forensic accounting has evolved into a crucial discipline in detecting and preventing financial crimes, particularly in the digital age, where cyber-enabled fraud has intensified. This study examines how forensic accounting techniques have adapted to address modern financial crimes, incorporating artificial intelligence (AI), blockchain technology, and big data analytics. The research aims to evaluate the effectiveness of these advanced tools in fraud detection and financial transparency. A combination of qualitative analysis …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 8, Issue 1, 2025 · pp. 1–15 Read article
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The Significance of Forensic Accounting in Enhancing Financial Sustainability of Micro, Small, and Medium Enterprises (MSMEs).
Abstract: Micro, small, and medium-sized enterprises (MSMEs) play a pivotal role in economic growth by providing jobs, fostering innovation, and increasing overall GDP, thus contributing to a stronger economy and higher national prosperity. Although, these organizations tend to encounter many challenges related to fraud, fraud framing, and problem, like compliance, which also make their financial sustainability. More so, it can be a Human Resource tool in this regard to provide investigative …
Published in NOLEGEIN Journal of Entrepreneurship Planning, Development and Management · Vol. 7, Issue 1, 2024 Read article
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Islamic Economics: Foundation, Role and Trends
Abstract: The rules, values and standards of conduct that organize economic life and establish relations of production in an Islamic society are Islamic economic system. These rules and standards are based on Islamic order recognized in Quran. Islamic economics based on specific concept of universe and the creation of man is contradictory to the concept adopted and accepted by modern science. Islamic economics postulates although ability and expertise are required for …
Published in NOLEGEIN Journal of Business Ethics , Ethos & CSRw · Vol. 3, Issue 2, 2020 · pp. 38–50 Read article