The purpose of this empirical study is to determine how Jordan's internal control system affects the efficiency of accounting information systems (AIS) services and client satisfaction. The study's goal is to shed light on how important a robust internal control system is for increasing customer satisfaction with AIS services. A quantitative research methodology is used to collect data from a survey of 265 representative customers of Jordanian enterprises (Commercial BANKS). Data is analyzed using second generation analysis technic (SmartPLS) software. In the context of AIS, the findings emphasize the significance of the internal control system in bolstering the link between service quality and customer satisfaction. The research advances our understanding of AIS and has significant ramifications for companies seeking to improve customer satisfaction and service quality. The researcher also offered suggestions for further research.

The purpose of this paper is to investigate potential links between Blockchain technology (BCT) and big data analytics (BDA) with supply chain risk management (SCRM) and supply chain performance (SCP) in the Jordanian Chemical and Cosmetic Industries Sector. Additionally, the paper tests a conceptual model that links SCRM to indirect effects. To test our proposition, data were collected from 364 employees working in Jordanian Chemical and Cosmetic Industries Sector. The data were analyzed using structural equation modeling with aid of the Lavaan R package. The results show that the influences of blockchain technology and big data analytics on supply chain performance do occur directly, and indirectly through the cascading of a supply chain risk management.