The primary objective of this paper is to explore the impact of business intelligence applications on supply chain risk management through a sample obtained from the Jordanian industrial companies sector. To achieve the research objectives, 185 questionnaires were collected and analyzed using partial least squares-structural equation modeling (PLS-SEM). It was concluded that all proposed hypotheses were acceptable and supported, as there was a strong and positive impact of business intelligence applications on all supply chain risk management practices. Based on this, a set of theoretical and practical recommendations was developed to contribute to enhancing the effectiveness of supply chain risk management.
Al-Natour et al. (Sun,) studied this question.