THE IMPACT OF ARTIFICIAL INTELLIGENCE ON ORGANIZATIONAL PERFORMANCE

Abstract

This research explores how faculty training and development initiatives influence organizational performance within Kazakhstan's higher education institutions. It further examines the mediating effect of AI adoption on this relationship. A structured questionnaire was used as the primary method for data collection, with responses gathered from a sample of 218 employees working in higher education institutions across Kazakhstan. The results indicate that AI adoption serves as an intermediary factor between training and development practices and organizational performance, confirming the proposed research model. Additionally, the study introduces a theoretical framework based on Career Construction Theory to analyze AI adoption’s potential role in shaping organizational performance. By integrating both institutional and individual factors, this research provides deeper insights into the drivers of organizational performance.

Keywords: training and development; AI adoption; organizational performance; Higher Education; Quantitative