1. NASEEM MOHAMMAD TWAISSI - Department of Business Administration, Al-Hussein Bin Talal University, Ma’an, Jordan.
2. AHMAD EL-KHATEEB - College of Business Administration and Economics, Al-Hussein Bin Talal University, Jordan.
3. MUTASEM AL-SHARIF - Faculty of Design Sciences, University of Antwerp, Belgium.
4. GEBREEL AHMAD ALMOMANY - Dubai Electricity & Water Authority, Dubai, United Arab Emirates.
5. MARYAM AHMAD ABU KARAKI - Al Balqa Applied University, Jordan.
In this scholarly inquiry, we illuminate profound insights into the modalities through which the insurance domain in Jordan is acclimating to the incorporation of artificial intelligence (AI). A nuanced comprehension of the ramifications and potential benefits of AI deployment is pivotal for industry stakeholders to make erudite decisions regarding their assimilation strategies. This investigation primarily focused on delineating the ramifications of AI on the insurance milieu in Jordan. Empirical findings revealed a statistically robust positive influence of AI, notably in areas such as risk assessment, revenue generation, and client satisfaction within the Jordanian insurance framework. With a confidence interval established at α ≤ 0.05, our data underscores a compelling correlation coefficient of 80%, signifying a potent linkage between AI and the insurance sector. Consequently, it is imperative to underscore that personnel within the industry should perceive AI as a conduit to augment their professional tasks, rather than a prerequisite for their sustained tenure.
Artificial Intelligence, Insurance Industry, Risk, Revenue, Customer Satisfaction. Jordan.