ARTIFICIAL INTELLIGENCE IN HR: REDUCING TURNOVER INTENTIONS WITH AI-DRIVEN EMPLOYEE ENGAGEMENT SOLUTIONS

Abstract

This study examines the key factors influencing turnover intention and employee engagement, focusing on the moderating role of AI-powered employee engagement solutions. The research explores how perceived organisational support (POS) mitigates turnover intentions and how AI-driven tools enhance POS, reduce workplace bullying, and improve overall engagement.A quantitative research design was employed, collecting data from 240 employees working in small and medium-sized IT organizations. Structural equation modelling (SEM) was used to test the hypothesized relationships, providing empirical insights into the direct and moderating effects of AI-powered engagement solutions.The results confirm that POS plays a significant role in enhancing work engagement and reducing turnover intention. Additionally, AI-driven employee engagement solutions amplify the positive effects of POS by offering real-time feedback, personalized career development, and proactive workplace monitoring. These interventions create a more supportive and engaging work environment, effectively reducing workplace bullying and employee disengagement.Organizations must invest in AI-driven HR solutions to enhance employee engagement, retention, and workplace culture. AI-powered tools enable early detection of disengagement, real-time feedback, and data-driven HR decision-making, fostering a more responsive and supportive organizational climate. Moreover, integrating ethical AI frameworks ensures transparency and fairness in AI-driven HR strategies. By leveraging these innovations, businesses can retain top talent, improve job satisfaction, and create a healthier, more inclusive work environment.