Search Results for combat-fraud
Abstract
Aim to this search to statement impact effectiveness procedures Combat fraud in limit from practices Accounting creative, with attempt Identify on procedures Combat fraud, and highlight practices Accounting creative. And done Accreditation on curriculum descriptive in the side theoretical for being the most Relevance to nature the topic, as for the side Applied Lost Lean to Curriculum the study analytical by adoption on questionnaire via Projection what It was completed touched mechanism in the side theoretical to study effectiveness procedures Combat fraud in limit from practices Accounting creative.
Study population Included Auditing offices in Baghdad, And The questionnaire was distributed to randomly selected sample. The sample size was 134 auditors. (122) valid statistical items were obtained for conducting the analysis, representing 96% of the total sample size Researched.
And I concluded results search to that it There is impact with indication Statistic for effectiveness procedures Combat fraud in limit from practices Accounting creative, and that System Censorship internal effective and audit procedure The Independent Represent Basis in effectiveness procedures Combat fraud with a view limit from practices Accounting creative.
Abstract
Artificial intelligence (AI) applications are essential for enhancing payment security and improving customer experience in financial institutions. This research aims to examine the challenges faced by Mastercard in Australia and Visa in Singapore in implementing these technologies. The study focuses on three main areas: challenges related to fraud and privacy, the strategies employed by both companies to address these challenges, and the impact of AI applications on customer satisfaction and trust. The research adopts an analytical methodology that combines both qualitative and quantitative data, relying on diverse sources including academic studies and annual reports. The findings reveal that the effectiveness of AI applications varies across the two markets, reflecting different responses to local challenges. For instance, Mastercard demonstrates a greater reliance on machine learning technologies in Australia to combat fraud, while Visa in Singapore focuses more on enhancing privacy and data protection. The study offers strategic recommendations aimed at improving payment security and customer experience, such as increasing transparency in data usage and strengthening communication with customers. This research contributes to a deeper understanding of the role of AI in financial services, providing valuable insights for companies and practitioners in the sector. By addressing the unique challenges of each market, customer satisfaction can be enhanced and greater trust in digital payment services can be fostered.