Assessing the Influence of AI-Enabled HR Analytics on Employee Satisfaction in IT Organizations

Abstract

Another significant technological change which has had an impact on contemporary human resource management practices is the development of Artificial Intelligence. HR analytics based on AI are increasingly being used by organizations to analyze high amounts of information on employees and aid in their strategic decision-making regarding hiring, performance appraisal, employee engagement, and workforce planning. These analytics technologies are important in enhancing workforce management and employee experience in the IT sector where the competition on skilled professionals is fierce. Nevertheless, the success of AI-based HR systems is highly conditional upon the perception and acceptance of employee of these technologies in the work place. This paper considers how AI-powered HR analytics affects employee satisfaction in IT companies. The study also examines the role of perceived usefulness and ease of use on the attitude of employees towards such systems by use of the Technology Acceptance Model (TAM). The information was gathered by means of a structured questionnaire among IT professionals and was examined using statistical methods. The results show that positive attitudes toward AI-based HR analytics can help enhance employee satisfaction and technological acceptance of HR practices. The paper also emphasizes the role of transparency, fairness and good communication in the implementation of AI-based HR systems.