Authors : Mutahar Hussain Kazim; Asawer Saif Muhanna Al Hinai; Sara Ahmed Ghulam Al Baloushi; Abir Abdullah Mohammed Al Malki; Alla Khamis Sagheer Al Owaisi

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/5csep2w5

DOI : https://doi.org/10.38124/ijisrt/25may1168

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Performance management mainly relies on human-managed systems such as annual reviews, manual data collection and qualitative assessments which is considered as a traditional form of human resource function. This research examines how Artificial Intelligence (AI) is transforming performance management in Oman’s private sector companies. Using interviews and surveys, the study explores AI’s potential to create fair, more accurate and efficient evaluation systems. The private companies are still in the early stages, currently utilizing AI primarily in recruitment. The company recognizes AI’s benefits in reducing human bias and improving HR evaluation system. Private organisations who have successfully implemented AI across its performance review processes involves AI tools like Natural Language Processing, machine learning, and predictive analytics are used to evaluate employee performance, reduce bias in promotions, and provide real- time feedback.

Keywords : Artificial Intelligence (AI), Performance Management, Natural Language Processing, Continuous Feedback Continuous Feedback and Data-Driven Solutions.

References :

1. Galis, A., & Mavromoustakis, C. X. (2019). Cloud virtual network services using AI: A tutorial and a case study. Computer Networks, 149, 1–17.
2. Koch, S., & Schermuly, C. C. (2020). Performance assessment methodology for AI-supported decision-making in human resource management. Procedia Computer Science, 176, 2403–2412.
3. Gonzalez, M. F., Capman, J. F., Oswald, F. L., Theys, E. R., & Tomczak, D. L. (2019). “Where’s the I-O?” Artificial intelligence and machine learning in talent management systems. Personnel Assessment and Decisions, 5(3), Article 5.
4. Stroet, H. P. J. (2020). AI in performance management: What are the effects for line managers? [Bachelor's thesis, University of Twente].
5. Al Eisaei, M. S. A., Bin Madun, A., & Mohamed Adnan, M. A. (2023). The impact of artificial intelligence in human resource management systems on the performance of workers in the Sultanate of Oman. International Journal of Academic Research in Business and Social Sciences, 13(10), 1940–1954.
6. Nyathani, R. (2023). AI in performance management: Redefining performance appraisals in the digital age. ResearchGate.
7. Riecken, J. (2022). The impact of artificial intelligence on human resource management: A study on the implications for HR professionals [Bachelor's thesis, University of Twente].