Challenges of Cloud Computing Adoption Model for Higher Education Level in Zanzibar (the Case Study of SUZA and ZU)

The progressive education department in creating nations, including Zanzibar, is experiencing the issue of conveying dimension of the data and interchanges innovation. Technology like cloud computing encourages educating, learning, what's more, on motion exercising, which is essential for instructive necessities. Based on these difficulties the study attempts to find those challenges in implementing the cloud computing adoption model to Zanzibar's universities such as SUZA and ZU to overcome the existing problems. In the effort of identifying those challenges the study proposes a special model named as ITOETAM to break down different challenges and precise complications faced by SUZA and ZU in implementing clouding system. The model validated via an online survey of 84 respondents from students, lecturers and staff of Zanzibar's universities (SUZA and ZU), partial least squares demonstrating (PLS-SEM) led to affirm the cloud computing adoption model (ITOETAM) measurements. The model consists of five constructs named CCAM, IEF, TF, OF, and EF, where all were significant to CCAM with T-value more than 1.98 and p-value less than 0.05 for example, (IEF beta=0.709), TF beta=0.596), and EF beta=-0.317)) have proven the proper challenges of cloud computing adoption model at university level in Zanzibar's universities except OF beta=0.027) which rejecting the model. The rejected factors were due to the size is big enough and not considered as matter, also the age of the institution is too long since they start providing services. Based on validation of measurement and structural model test, the study found that data security and risk among technological factors, peer pressure and government regulation categorized as environmental factors, privacy and management as internal-external factors proved as a statistical significant challenge in implementing the cloud computing adoption model to the higher educational entity especially SUZA and ZU. This model is usable and significance to researchers and planners for policy implication. (C) 2019 The Authors. Published by Elsevier B.V.