SACM - United Kingdom
Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9667
Browse
3 results
Search Results
Item Embargo Integrating Emerging Technologies and Data Analytics Skills into Saudi Accounting Curricula: An Institutional Logics Perspective(Saudi Digital Library, 2025-07-01) Bin Mibrad, Ibrahim; Xiao, LingThis study investigates the integration of emerging technologies and data analytics skills into Saudi accounting curricula. Leading organisations, such as the Big Four accounting firms, AICPA, and AACSB, have called for these skills to be embedded in accounting education to keep pace with evolving professional demands. However, the integration process remains slow or insufficient both internationally and within Saudi Arabia. Moreover, despite the importance of this area, there has been little research in developing and MENA countries, including Saudi Arabia, which have distinctive cultural, economic, and political systems. This research seeks to understand the drivers and barriers to integrating these skills in Saudi accounting curricula and explores how these obstacles can be addressed. Grounded in a systematic literature review, the study conducted 34 semi-structured interviews with accounting educators and representatives of professional accounting bodies, both nationally and internationally, alongside document analysis. The study found that while Saudi and Western accounting educators share some common factors influencing technology integration, cultural and religious norms in Saudi Arabia uniquely impact the process. This research also provides novel insights into the integration of emerging technologies in accounting curricula within a developing, MENA context, using the institutional logics perspective (ILP). Through ILP, the study examines how accounting educators navigate two co-existence competing logics: traditional and modernisation. These varied responses from faculty members, including compliance, defiance, combination and compartmentalisation, are shaped by factors such as adherence, the religious principle of Al-Amanah, age and retirement considerations, and strong job security. Furthermore, the findings offer valuable implications for decision-makers, including department heads, and accounting educators, as they consider integrating emerging technologies into accounting curricula.8 0Item Restricted Unlocking Profitability: The Role and Importance of Data Analytics in Construction Financial Management(University College London, 2025) Abussaud, Laian; Krystallis, IliasThe construction industry faces persistent challenges in financial management, including cost overruns, tight profit margins, and unpredictable project variables. This dissertation investigates the transformative role of data analytics in addressing these challenges and enhancing profitability in construction projects. By comparing projects that implement data-driven financial strategies with those using traditional methods, the study employs a quantitative, quasi-experimental design to assess key financial performance indicators such as cost variance, profitability, and return on investment. Drawing from secondary datasets and real-world case studies, the research demonstrates how historical and real-time data, predictive modeling, and integrated analytics tools contribute to improved cost estimation, resource allocation, and risk mitigation. Findings indicate that comprehensive utilization of data analytics significantly enhances financial outcomes, providing a compelling case for its broader adoption in the industry. The study not only bridges a critical research gap but also offers practical recommendations for construction firms, project managers, and policymakers seeking to harness analytics for sustainable financial success.15 0Item Restricted Utilizing Data Analytics for Fraud Detection and Prevention in Online Banking Systems of Saudi Arabia(University of Portsmouth, 2024-09) Almotairy, Yazeed; Jiacheng, TanThis thesis addresses the critical issues of online banking and online banking fraud in Saudi Arabia. The thesis focusses on the older methodologies of the online banking systems in Saudi Arabia. The frauds are discussed in detail that are occurring in the online banking systems and are causing inconvenience to the users and account holders of the online banks and applications. In this thesis, online banking frauds are discussed thoroughly, and the traditional fraud detection methods are elaborated as well. The vulnerabilities in the current systems are explored. It discusses how the older systems are not performing well and why the new system encompasses the power of data analytics and machine learning. The methods proposed use a set of data analytics and machine learning algorithms and techniques to detect fraud or any fraudulent activity that a scammer or fraudster may perform. The results of this study explain how the proposed system can outperform the traditional methodologies being used in Saudi Arabian online banking systems. The proposed system can also enhance the user experience. The possible privacy and ethical concerns are also discussed. In the end, it is also discussed what the future prospects are for the researchers who are looking to enhance this research or want to work in the field of data analytics and machine learning to improve the security of the security of online banking applications. In conclusion, this thesis not only contributes to the body of knowledge on online banking frauds in Saudi Arabia and their detection but also features future research topics for new researchers.52 0