ARTIFICIAL INTELLIGENCE INTEGRATION AND EMPLOYEE EXPERIENCE: THE MEDIATING ROLE OF PREDICTIVE ANALYTICS AND MODERATING ROLE OF HYBRID WORK MODELS

Abstract

Organizations are rapidly integrating artificial intelligence into everyday operations, raising important questions about how these technologies shape employees’ work experiences. The study aimed to investigate the direct effect of AI integration on employee experience, examine the mediating role of predictive analytics, and test whether hybrid work models strengthen this relationship. A quantitative, cross-sectional design was used, drawing data from employees across a technology-intensive sector. Validated multi-item scales were applied, and SmartPLS was used for structural equation modelling, supported by SPSS for descriptive analysis. The results showed that AI integration had a positive and significant effect on employee experience. Predictive analytics partially mediated this relationship, indicating that analytics translate technological capability into clearer, more supportive workflows. Hybrid work models strengthened the association, showing that flexible environments amplify the value of AI tools. The findings contribute to theory by highlighting the layered mechanisms through which technology influences employees and offer practical insights for organizations implementing AI-driven systems.