The Impact of Artificial Intelligence on Employee Performance and Satisfaction: A Study from Academic Sector

Authors

  • Kashif Bashir Khawaja Fareed University of Engineering and Information Technology Rahim Yar Khan, IBA-MS Author
  • Dr. Muhammad Nazim Khawaja Fareed University of Engineering and Information Technology Rahim Yar Khan, IBA-MS Author

Keywords:

Artificial Intelligence, Employee Performance, Employee Satisfaction, AI Implementation, Training and Support, Job Displacement, Employee Engagement

Abstract

This research study delves into the influence of artificial intelligence (AI) on employee performance and satisfaction across sectors, offering unique insights. Our methodology, combining surveys and literature reviews, reveals a generally positive perception of AI among employees, with moderate variations. Regression analysis unveils a significant positive relationship between AI and employee performance (β = 0.638), explaining 40.7% of performance variance (R² = 0.407). While AI promises enhanced efficiency and accuracy, challenges such as job displacement are acknowledged. The study underscores the importance of providing adequate training and support to employees to maximize AI's benefits. These findings hold significance for practitioners and academic institutions aiming to harness AI effectively. Future research could explore tailored strategies for optimizing AI benefits across sectors.

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Published

2024-08-29

Issue

Section

Articles

How to Cite

The Impact of Artificial Intelligence on Employee Performance and Satisfaction: A Study from Academic Sector. (2024). Innovative Journal of Business and Economics Strategy (IJBES), 1(1). https://www.ijbes.com/index.php/ijbes/article/view/5