| Abstract [eng] |
This master thesis examines the impact of integrating artificial intelligence (AI) into business processes on employee performance, focusing on the mediating role of employee engagement and the moderating role of AI literacy. The relevance of the study lies in the acceleration of digitalisation, which raises questions about how technological advances affect employee motivation, productivity and job results. The thesis consists of three main parts: a literature review, a research methodology and an analysis of the empirical results. The literature review concludes that the integration of artificial intelligence inevitably has an impact on productivity by promoting automation, optimising tasks and enhancing collaboration. However, the strength of this impact depends not only on the technical implementation, but also on the strategic alignment of organisations, employee training, AI literacy development and motivational factors. The integration of AI into business processes cannot be seen only through the prism of technological efficiency. The mediating role of employee engagement and the moderating role of AI literacy provide deeper insights into how AI affects employee performance. The empirical study involved 309 respondents from various sectors in Lithuania (IT, finance, manufacturing, services, etc.). It measured four main constructs: AI integration, employee engagement, AI literacy and job performance. The results showed that AI integration significantly predicts both employee engagement and job performance, while engagement mediates a significant part of this effect. The moderation analysis did not show a statistically significant interaction effect of AI literacy, although AI literacy had a strong direct effect job performance. The results have both theoretical and practical implications: they confirm that technology adoption does not directly affect employees and, in general, organisational performance, but rather through psychological pathways such as engagement. In practice, organisations should not only focus on technical skills, but also on the emotional adaptation of employees. Limitations of the study include: the limitation of the sample (single country, specific industries) and the cross-sectional study design, which restricts the possibility of drawing causal inferences. Future research is recommended to develop more sophisticated models to measure AI-related activities, to study long-term changes and to strengthen the understanding of the dimensions of AI literacy across disciplines, as this construct is still insufficiently researched. |
