The purpose of this study was to examine the impact of artificial intelligence interventions in transforming learning and development of organizations and to investigate whether artificial intelligence can replace traditional learning methods.
Mixed method approach was adopted to conduct the study. The sample size for quantitative study was 300 employees belonging to domains of technology, finance, health care and manufacturing. Structural equation modeling was done to arrive at the results. The qualitative study was done on 25 employees by conducting in-depth interviews followed by thematic analysis.
The findings of quantitative study revealed that perceived usefulness, perceived experience and learning effectiveness significantly contributed to transformation of traditional learning. The same was validated by qualitative study, and it also indicated that respondents preferred blended learning and artificial intelligence cannot replace traditional learning.
The study contributes to research by highlighting the impact of artificial intelligence in transformation of traditional learning and development based on departmental and job-specific roles as well as sectors that require physical training in addition to knowledge-based training.
