The TOEQCC Framework for Sustainable Adoption of Cloud Computing at Higher Education Institutions in the Kingdom of Jordan

The extensive use of cloud computing influences changes in managing information technology and communication systems. The term “Cloud Computing” refers to a new management information system that emphasizes the distribution of various computer services across the internet, such as the World Wide Web. Security and privacy concerns and the deployment of resources in shared settings are only a few of the difficulties posed by cloud computing. This study’s overarching goal is to aid Jordanian higher education institutions (JHEIs) in making informed decisions about cloud computing by creating a framework that considers the most important elements influencing adoption. This study, therefore, presents a framework for the adoption of cloud computing in JHEIs by modifying the Diffusion of Innovation (DOI) theory, the Technology Acceptance Model (TAM), and the Technology, Organization, and Environment (TOE) framework. To better understand the elements influencing the adoption of cloud computing in the context of JHEIs, the authors offer a framework they call the Technology-Organization-Environment-Quality of Cloud Computing Adoption (TOEQCC), which builds on the fundamental theories and proposed models. The study aimed to solve the problem of cloud computing adoption at higher educational institutions through suggesting a new framework, which aims to improve the awareness of cloud computing factors as well as the roadmap for the adoption process. Eleven different Jordanian universities (both governmental and private) collaborated on this study. In addition to gathering data from the Jordanian Minister of Higher Education (JMHE) and the Jordanian Higher Education Accreditation Commission, the research team also performed three focus groups with Jordanian students and distributed three hundred questionnaires (JHEAC). NVivo was used to analyze the data following the steps: data reduction, data visualization, and conclusion drawing/verification. Statistics and frequency data are shown in tables, pie charts, bar charts, and column charts. Other tools were employed, such as Microsoft Visio and Microsoft Business Intelligence.