تأثير التدريب التفاعلي بالواقع المعزز المدعوم بالذكاء الاصطناعي على كفاءة مراجعي نظم تخطيط موارد المؤسسة ERP)) دراسة استطلاعية استقصائية على ديوان المحاسبة الليبي
DOI:
https://doi.org/10.65405/3zj19765Keywords:
Interactive Training,Augmented Reality (AR),Artificial Intelligence (AI),Enterprise Resource Planning (ERP),Auditors’ Competence,Libyan Court of AccountsAbstract
This study aimed to explore the role of Augmented Reality (AR) technologies supported by Artificial Intelligence (AI) in enhancing the competence of Enterprise Resource Planning (ERP) auditors at the Libyan Court of Accounts. The study problem arises from the limited adoption of interactive modern training technologies within auditing institutions in developing countries, alongside the absence of intelligent training models that consider individual differences and auditors’ levels of professional experience,The study employed a descriptive-analytical survey design, collecting field data using a questionnaire distributed to a convenience sample of auditors at the Libyan Court of Accounts who possess practical experience with ERP systems. Data were analyzed using appropriate statistical methods to assess perception levels and evaluate the impact of interactive training on auditors’ competence,The results indicated a high level of acceptance and positive perception regarding the integration of AR+AI technologies in the auditing work environment. The findings demonstrated that interactive training significantly contributes to meeting professional needs, improving performance, accelerating the learning process, and reducing operational errors. Moreover, statistically significant differences were observed in the evaluation of the effectiveness of these technologies, which were attributed to auditors’ years of professional experience and prior training,The study concluded that transitioning from traditional training models to intelligent interactive learning environments represents a strategic necessity to keep pace with digital transformation requirements in auditing institutions. It recommended adopting training programs based on digital simulations and developing the technical infrastructure of the Libyan Court of Accounts to support the implementation of AI and AR technologies, thereby enhancing the quality and efficiency of financial and administrative auditing practices.
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References
1. Chayakonvikom, M., Fuangvut, P., & Prinyapol, N. (2016). The incompatibility of end-user learning styles and the current ERP training approach. International Journal of Information and Education Technology, 6(6), 481–486. https://doi.org/10.7763/IJIET.2016.V6.736
2. Dallasega, P., Gualtieri, L., Padovano, A., & Rocca, G. (2025). Investment evaluation of augmented reality-based training: A human-centered model. Production Engineering, 19, 665–694. https://doi.org/10.1007/s11740-025-01331-4
3. Hayes, J., Gabbard, J. L., & Mehta, R. K. (2025). Learning selection-based augmented reality interactions across different training modalities: Uncovering sex-specific neural strategies. Frontiers in Neuroergonomics, 6, 1539552. https://doi.org/10.3389/fnrgo.2025.1539552
4. Kokina, J., Blanchette, S., Davenport, T. H., & Pachamanova, D. (2025). Challenges and opportunities for artificial intelligence in auditing: Evidence from the field. International Journal of Accounting Information Systems, 56, Article 100734. https://doi.org/10.1016/j.accinf.2025.100734
5. Martins, B. R., Jorge, J. A., & Zorzal, E. R. (2021). Towards augmented reality for corporate training. arXiv preprint arXiv:2102.09453. https://arxiv.org/pdf/2102.09453.pdf
6. Mhaskey, S. V. (2024). Integration of artificial intelligence (AI) in enterprise resource planning (ERP) systems: Opportunities, challenges, and implications. International Journal of Computer Engineering in Research Trends, 11(12), 1–9. https://doi.org/10.22362/ijcert/2024/v11/i12/v11i1201
7. Morales Méndez, G., & del Cerro Velázquez, F. (2024). Impact of augmented reality on assistance and training in Industry 4.0: Qualitative evaluation and meta-analysis. Applied Sciences, 14(11), 4564. https://doi.org/10.3390/app14114564
8. Pohrib, S.-D., Goga, A.-S., & Písla, A. (2025). Smart ERP systems – From data to decisions. In Proceedings of the 19th International Conference on Business Excellence 2025 (pp. 380–401). https://doi.org/10.2478/picbe-2025-0032
9. Ramidi, S. (2025). AI-driven automation for period closing in cloud ERP systems. International Journal of Science and Advanced Technology, 16(1), 1–10. https://www.ijsat.org/papers/2025/1/3008.pdf
10. Sharma, M. (2025). AI integration in ERP evaluation across trends and architectures. Journal of Information Systems Engineering, [Vol/Issue], [Pages]
11. Stratbeans. (2024). Training measurement KPIs: Measure learning impact. https://stratbeans.com/training-measurement-kpis/
12. Superagi. (2025). Revolutionizing corporate training trends and future of AI-driven content generation in 2025. https://superagi.com/revolutionizing-corporate-training-trends-and-future-of-ai-driven-content-generation-in-2025/
13. BrandXR. (2025). AI-driven augmented and virtual training and simulations transforming enterprise workforce development. https://www.brandxr.io/ai-driven-augmented-and-virtual-reality-training-and-simulations-transforming-enterprise-workforce-development
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