Adapting AI Innovation Processes to Improve Job Performance: Empirical Evidence from Jordanian information technology Sector

Abstract

In recent years, artificial intelligence has received considerable attention in business, particularly in information technology Sector, due to its potential to enhance employee performance. However, there are still implementation challenges to overcome. This study aims to examine impact of Artificial intelligence and its associated variables (experience system, neural networks, genetic algorithms, and intelligence agents) on job performance. A total of 367 employees from Jordanian information technology firms were surveyed. Smart PLS 4 was used for data analysis. The results indicated a significant positive relationship between artificial intelligence and job performance, moderated by organisational support. As part of its efforts to mitigate challenges related to artificial intelligence, organizations are encouraged to support employees during these transitions. It acts as a starting point for future research projects on the various impacts of artificial intelligence, guiding organisational actions as they interact with this artificial intelligence -driven changes, while striking a balance between technological advancements and human interests