Moderating influence of artificial intelligence capability between business intelligence system and decision-making quality in banking industry

This paper examined the impact of Business Intelligence Systems (BIS) on decision-making quality among top-level management in the Jordanian banking sector, with Artificial Intelligence Capability as a moderating variable, to enhance understanding of the link between business intelligence and decision-making quality. A questionnaire was used to gather data from 297 employees of Jordanian Commercial Banks. The research hypotheses were developed and tested using partial least squares structural equation modeling (PLS-SEM). The results revealed a positive relationship between system quality, data quality, and decision-making quality, with service quality showing a particularly strong impact. Effective system quality techniques were found to enhance decision-making quality, underscoring the importance of BI resource management. The findings also indicated a significant effect of data quality on strategic decision-making quality, while data visualization did not show a statistically significant impact. Furthermore, the results confirmed the moderating role of Artificial Intelligence Capability in the relationships between system quality, data quality, data visualization, and decision-making quality. Overall, the findings of this study contribute valuable insights to the literature on business intelligence and strategic decision-making.