Search Results for financial-fraud
Abstract
The importance of this research lies in its addressing a highly important and contemporary topic by focusing on employing artificial intelligence techniques as an advanced analytical tool in the work of the auditor. This employment aims to enhance the auditor's ability to detect fraudulent practices in financial statements, which contributes to raising the quality of the audit process and keeping pace with global technological developments. This is reflected in reducing detection risks and enhancing the auditor's understanding of the economic unit's environment under audit. AI-based auditing contributes to providing accurate and distinctive information that supports the process of detecting fraud in financial statements, which positively impacts reducing the risk of financial fraud. Moreover, adopting AI in audit firms gives them a tangible competitive advantage and supports enhancing stakeholders' confidence in the results and reliability of the audit process. To achieve this, a survey form was designed for this purpose to survey the opinions of a sample of auditors and employees in audit units who have professional experience related to the nature of the research. The research reached a number of conclusions, including that the sample agreed that the contribution of AI systems to improving the accuracy of detecting financial fraud compared to traditional methods based on manual rules came in first place, while adopting the hybrid approach that combines AI and traditional rules is the best practice in fraud detection systems came in second place, with regard to the extent of AI's contribution to detecting and reducing financial fraud.
Abstract
This research highlights the critical gap in integrated digital accounting and tax auditing studies concerning complex financial fraud. The problem lies in the inadequacy of traditional auditing to keep pace with digital sophistication and big data. This study aims to analyze the role of intelligent technologies in mitigating fraud and enhancing financial information quality. Adopting a descriptive-analytical approach, a survey was conducted with a purposive sample of 100 experts. The research contribution involves testing the "Fraud Diamond" model using anomaly detection algorithms and continuous auditing. Results revealed a strong positive impact of digital auditing on fraud mitigation (R=0.78), with high predictive power for information quality when mediated by fraud reduction (Sig=0.000). These findings surpass previous studies in risk prediction accuracy. The study benefits society by protecting investor rights and advocating for electronic integration with tax authorities to ensure national economic integrity
Abstract
The study aimed to identify the effectiveness of applying "Consulting Services: links to the Provision of judicial accounting services" Standard. A field study on a random sample of judicial accountants, academic faculty members, and Certified Accountants, and Auditors in KSA is applied, by distributing questionnaire. It turns out that KSA environment is willingness to activate the role of judicial accounting considering the development standard (consulting services: links to the provision of judicial accounting services). Further, judicial accounting is considered a line of defense and prevention against fraud and financial corruption. The results also revealed a relationship between the factors that contribute to the activate the standard and the level of expected benefit from their application in the environment. Lastly, several recommendations are made, continue raising awareness among the local community in KSA about the importance of judicial accounting services. Also, monitoring and adaptation to the latest changes in the field of judicial accounting services, is crucial to maintaining a high level of effectiveness in implementing the standard.