The Impact of Artificial Intelligence on the Efficiency of System Management in Banks (Statistical Study)
Keywords:
Artificial Intelligence in Bank Management, Sustainable Urban and Regional Planning, Risk Management, Fraud Detection, Urban Project Financing, Quality Performance, Technological Innovation, Financial Decision-MakingAbstract
Today's global economy is witnessing increasing competitiveness driven by the rapid development of information technologies, which have become pivotal in various sectors, including regional and urban planning. The tremendous advancement in information systems has propelled institutions, both in the public and private sectors, towards adopting modern technologies to process financial and accounting data in innovative ways characterized by professional and intellectual intelligence. This transformation is crucial for enhancing the sustainability of financial institutions, particularly banks, in a dynamic environment that demands continuous adaptation to cyclical, contingent, and sudden changes.
In the context of regional and urban planning, the efficiency of financial and banking systems has become a fundamental element in supporting sustainable development and effectively financing urban projects. However, traditional methods of bank management are no longer sufficient to keep pace with the accelerating developments in enhancing the efficiency of financial systems, especially concerning the prevention of manipulation, detection of fraud, and management of risks. This situation has necessitated the adoption of advanced methodologies based on Artificial Intelligence (AI), which provides sophisticated technologies that enable the enhancement of the efficiency and reliability of banking system management. This contributes to achieving the requirements of SAR and QIP necessary for highly efficient bank management, which positively reflects on regional and urban planning by improving project financing and directing investments in more accurate and sustainable ways.
Artificial intelligence is considered one of the most important modern technologies that significantly contribute to rapid technological development, thereby enhancing opportunities for innovation and growth in various fields. With the increasing use of AI technologies, it has become vital in improving the efficiency of urban planning, resource management, and enhancing the sustainability of cities, in addition to improving the quality of banking services and increasing the potential and efficiency of banks. Despite the widespread adoption of these technologies and the extensive discussion about their capabilities, they are still surrounded by ambiguity or exaggeration that may raise expectations and lead to unrealistic perceptions. This makes the understanding of AI and its real potential unclear to many decision-makers or executives in the public and private sectors, which calls for conscious strategies that effectively employ these technologies in supporting sustainable regional development.
This research seeks to achieve two main objectives: The first is to clarify the concept of artificial intelligence and its technologies, along with the concept of electronic financial auditing, its procedures, and everything related to bank management. The second objective is to demonstrate the role of artificial intelligence in enhancing the quality of bank management and its reflection on overall performance, with a focus on its impact on regional and urban planning. These technologies contribute to the development of financial systems that support urban projects and enhance the efficiency of regional planning through effective financial resource management and the achievement of economic sustainability in urban areas.
The research was based on two main hypotheses:
The use of artificial intelligence techniques helps in achieving quality bank management and performance in the implementation of all banking systems and programs (electronic auditing, deposits, withdrawals, etc.), thereby enhancing the efficiency of regional and urban planning by supporting development projects and improving the investment of financial resources.
The use of artificial intelligence plays a role in achieving quality performance, and the use of digital transformation technologies leads to the activation of continuous auditing. Electronic financial banking auditing in general, supported by artificial intelligence, helps in enhancing transparency and governance within banks, leading to more accurate financial decisions that positively reflect on the sustainability and financing of urban and development projects.
On the practical side, work was done to test the role of artificial intelligence in implementing the efficiency of banking system management and its role in achieving quality performance, through the use of a questionnaire distributed electronically to a number of academic accountants and auditors in a selected group of banks. A total of (54) questionnaires were distributed, and (32) questionnaires were answered and analyzed using the (SPSS 30 - 2024) program.
Based on this, the research was divided into four main axes:
The first axis dealt with the research methodology, while the second axis reviewed the theoretical framework of artificial intelligence and its role in improving the efficiency of banking system management. The third axis focused on the applied aspect, while the research concluded in the fourth axis with conclusions and recommendations aimed at enhancing the integration between artificial intelligence and bank management within the framework of sustainable regional planning.
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References
1. Barzan, Sabeha (2015), "The Impact of Electronic Auditing on Enhancing the Independence and Efficiency of the Internal Auditor," Journal of Economic and Administrative Sciences, Volume (32), Issue (4), College of Administrative Technical, Baghdad.
2. Jarrah, Nada Badr (2019), "Artificial Intelligence Techniques for Developing Statistical Machine Learning," Iraqi Journal of Information Technology, Volume (9), Issue (3), College of Administration and Economics, University of Basra.
3. Helmy, Riham Mohamed Abdel Latif (2022), "The Impact of Artificial Intelligence on the Auditor’s Role in the Auditing Process: A Field Study," Fifth Scientific Conference for the Department of Accounting and Auditing "Challenges and Prospects for the Accounting and Auditing Profession in the 21st Century," Faculty of Commerce, Ain Shams University.
4. Rizk, Alaa Ahmed (2020), "The Contribution of Artificial Intelligence Techniques in Supporting the Quality of Professional Performance in Accounting and Auditing Firms in Egypt (An Applied Study on Large Accounting and Auditing Firms)," Accounting Thought Journal, Volume (24), Issue (2), Faculty of Commerce, University of Aswan.
5. Al-Samarraie, Ammar Essam and Al-Shureida, Nadia Abdel-Jabbar (2020), "The Role of Artificial Intelligence Techniques Using Digital Auditing in Achieving Auditing Quality and Supporting Its Strategy from the Perspective of Auditors: A Field Study in Audit Firms in the Kingdom of Bahrain," International Journal of Economics and Business, University of Applied Sciences, Kingdom of Bahrain.
6. Samehdan, Maha and Salemo, Tamara (2021), "Reflections of Artificial Intelligence on the Field of Auditing," Issue (15), Arab Monetary Fund.
7. Abu Aqleh, Moataz Yusuf Ahmed and Othman, Afra Al-Fadl Mohamed (2021), "The Importance of Developing the Electronic Auditing Profession Through Artificial Intelligence Technology to Achieve Performance Quality," [link].
8. Abdul-Majid, Qutayba Mazen (2009), "Using Artificial Intelligence in Electrical Engineering Applications (Study and Comparison)," Unpublished Master's Thesis, Arab Academy in Denmark.
9. Anbar, Sami Jaber (2015), "Auditing Quality Based on Artificial Intelligence," PhD Thesis Submitted to the Council of the Higher Institute for Accounting and Financial Studies, University of Baghdad.
10. Taher, Shiya Rida and Ahmed Dalir, Musa (2022), "The Role of Artificial Intelligence Techniques in Improving the Quality of Accounting Information: An Analytical Study of the Opinions of Academics Specializing in the Kurdistan Region of Iraq," Tikrit Journal of Administrative and Economic Sciences, Volume (18), No. (60), Salahaddin University, Erbil.
11. Al-Taai, Omar Zuhair Ezz El-Din (2023), "The Role of Artificial Intelligence in Improving the Quality of Internal Auditing: An Exploratory Study in Some Iraqi Banks," Regional Studies Journal, Year (17), Issue (55), Faculty of Administration and Economics, University of Mosul.
12. Abu Al-Qasim, Mohamed (2012), "Artificial Intelligence and Expert Systems," Libya.
13. Mohsen, Imad Saadoun and Al-Saqa, Ziad Hashem Yahya (2022), "The Role of Electronic Internal Auditing in Increasing the Effectiveness of the Internal Control System: An Applied Study in the Ninawa Directorate of Water," Tikrit Journal of Administrative and Economic Sciences, Volume (18), No. (60), Faculty of Administration and Economics, University of Mosul.
14. Medahi, Mohamed (2022), "Reflections of the Fourth Industrial Revolution Applications—Artificial Intelligence on the Economies of Arab Countries," Tikrit Journal of Administrative and Economic Sciences, Volume (18), No. (60), Faculty of Economic, Commercial, and Management Sciences, Akli Mohand Oulhadj University of Bouira, Algeria.
15. Al-Matarneh, Ghassan Falah (2013), "Introduction to Contemporary Auditing," Zamzam Publishers, 1st Edition, Amman, Jordan.
16. Al-Huwaidi, Ali Mahmoud Mustafa (2015), "The Impact of Joint Auditing on the Quality of Financial Reports: An Applied Study on Egyptian Banks Listed on the Stock Exchange," Journal of the Faculty of Commerce for Scientific Research, Faculty of Commerce, Alexandria University.
17. Yaseen, Ali Taha, Aidan, Ahmed Kazem, and Barak, Jasim Aidan (2020), "The Reality of Electronic Auditing in Iraqi Commercial Banks from the Perspective of External Auditors: An Exploratory Study of the Opinions of a Sample of External Auditors," Journal of the Faculty of Administration and Economics for Economic, Administrative, and Financial Studies, Volume (1), Issue (12).
Second: Foreign Sources:
18. Aneta, Zemankova, (2019), Artificial intelligence in audit and accounting: development, current trends, opportunities and threats, international conference on control, artificial intelligence, robotics &optimization.
19. Bi, Q., Goodman, K.E., Kaminsky, J. and Lessler, J., (2019), What is machine learning? A primer for the epidemiologist, American journal of epidemiology, 188(12).
20. Isaca, (2018), Auditing artificial intelligence", www.isaca.org/auditing-Al.
21. Nguyen, H., (2019), Artificial intelligence and its impact on workforce, Business Management, Centria University of Applied Sciences.
22. Omoteso, K., (2012), The application of artificial intelligence in auditing: Looking back to the future. Expert Systems with Applications, 39(9).
23. Reese, H., (2017), Understanding the differences between Al, machine learning, and deep learning Uglum, Marcy Kim, (2021), Consideration of the ethical implications of artificial intelligence in the audit profession, www.scholarworks.uni.edu/hpt.
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