Exploring the impact of AI on employee self-competence performance key variables and outcomes

Abstract In the dynamic business world, organizations must upgrade their functioning and develop human resources skills to achieve optimal performance. Researchers are currently concentrating on strategic human resources management practices that utilize AI technology, with the aim of enhancing employee competency and achieving the highest possible organizational goals. Therefore, the purpose of this study is to investigate the potential impact of AI experience, AI utilization, AI technical ability, and AI app usefulness on employee self-competence performance in Jordanian pharmaceutical manufacturers. The variables under investigation included AI experience (X1), AI utilization (X2), AI technical ability (X3), AI app usefulness (X4), and individual competency performance (Y). This study employs a purposive sampling technique to gather quantitative data. The SPSS software application analyzes the primary data collected through a questionnaire in this study. The findings show that the AI experience, AI utilization, AI technical ability, and AI app usefulness have a significant positive effect on employee self-competence performance. The findings of this study have implications for stakeholders seeking to enhance individual manufacturing performance. This research identifies the effectiveness of AI experience, use, technical proficiency, and application utility as crucial factors influencing employee performance. These findings provide vital insights for business leaders seeking to improve productivity and operational efficiency. Furthermore, these findings provide a robust basis for evaluating performance and enhancing decision-making processes.