Nowadays, organizations continue to grow larger and larger, not only in the number of employees, but in the number of departments and the type of employees. In such cases, cloud-based information systems are beneficial to organizations through their superior informational capabilities compared to traditional information systems, however, there are few academic studies that have dealt with the two systems together, and focus only on the technical aspects, and the determinants that affect the adoption of systems cloud management information is not checked from the user's perspective. In this study, we attempt to investigate the determinants of Cloud-MIS adoption by considering the framework of current state bias theory as a basis for giving guidance to cloud service providers on how to design their products in order to increase adoption and use. The study sample was represented by the employees working in the Technical Engineering College Mosul, sample size (100) employees and the data were analyzed using SMART PLS. The results showed that perceived risk was the most important factor regarding behavioral adoption determinants of Cloud-MIS use, followed by regret avoidance and inertia. Ultimately, this study recommends to researchers that the models used to measure adoption determinants can be combined to further explore the factors that have an impact on a cloudbased management information system.