Authors : Mutahar Hussain Kazim; Kawther Jasim Al Ajmi; Anfal Hassan Al Lawati; Yaqeen Hilal Al Siyabi; Sara Salim Al Hosni

Volume/Issue : Volume 10 - 2025, Issue 12 - December

Google Scholar : https://tinyurl.com/53wfkb66

Scribd : https://tinyurl.com/ye2b6y65

DOI : https://doi.org/10.38124/ijisrt/25dec418

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Abstract : This research examines how Artificial Intelligence (AI) is influencing employee well-being, stress management, and productivity within Oman’s private sector. In Oman, AI technologies are being leveraged to enhance employee well-being by analyzing data related to their management and needs. The study assesses employees’ awareness of AI tools, their readiness to adopt them, and the perceived impact of AI on workplace efficiency and well-being. Results indicate that while general awareness of AI remains moderate, employees demonstrate strong openness toward AI-enabled well-being programs and recognize AI’s potential to improve their daily work experiences. The findings reveal that AI contributes significantly to enhancing work–life balance, simplifying tasks, and reducing workload pressure. The survey further shows that employees frequently rely on AI-based systems such as automated reminders, task management tools and wellness applications to manage work-related stress. Majority of the employees reported consistently using AI for stress reduction and a group of employees feel AI improves their well-being and productivity. The study concludes by emphasizing that a hybrid human–AI approach is the most effective model for enhancing employee well-being in the private sector. As Oman advances toward its Vision 2040 goals, the responsible integration of AI can play a vital role in supporting healthier, more productive, and more efficient work environments.

Keywords : Artificial Intelligence, Employee Well-Being, Work Life Balance, Stress Management, Productivity.

References :

1. Akter, F., et al (2024). AI-Driven Workload Optimization: Enhancing Employee Well-Being and Productivity to Promote Sustainable Economic Growth (SDG 8) in Malaysia.
2. Shajoul and Howie (2020). A Study on Employee Well-being: Examining the Effects of Artificial Intelligence Applications on Human Resource Management Practices. Master's Thesis, BI Norwegian Business School, Oslo.
3. Babu T, et al (2024). The Impact of Artificial Intelligence in the Workplace and Its Impact on Employees' Digital Well-being. Journal of Management and Planning Studies.
4. Al Eisaei, M. S. A., Madun, A. B., & Adnan, M. A. B. M(2023). The Impact of Artificial Intelligence in Human Resource Management Systems on the Performance of Workers in the Sultanate of Oman.
5. Cascio, W. F. (2018). Managing Human Resources: Productivity, Quality of Work Life, Profits. McGraw-Hill Education.
6. Kaaria, A. G. (2024). Artificial Intelligence and Employee Well-Being: Balancing Technological Progressions with Human-Centric Workplace Strategies, a Research Agenda. East African Journal of Information Technology, 7(1), 355–365.
7. Getaruelas, R., Manalo, R. L., Al Alawi, M., Al Shaqsi, A., & Saletrero, N. R. (2024). Digital Integration of HR Services of Private Companies in Oman: A Comprehensive Analysis. Library of Progress-Library Science, Information Technology & Computer, 44(3).