Quality assurance consider as one of the most important concerns in higher education institutions, which may influence the overall rank of universities. Innovation technology may play an important role in improving such quality of higher education institutions. Innovation technology provides several benefits, which are seen immediately, for instant, allowing students to share information easily and to discover new experiences within the education system. This study aims to find out the key factors of innovative technology affecting the quality assurance at higher education institutions in Jordan. By adopting the diffusion of innovation theory, this study sheds light on several factors that extended from this theory. Fieldwork including five universities in Jordan was conducted to specify the actual technological factors that may influence quality assurance at higher education institutions. An interpretive paradigm using triangulation methods was applied to collect data, conducting sixteen semi-structured interviews with major stakeholders in Jordanian universities, including professors, university vice-chancellors, IT managers, heads of departments, and deans of schools. The researchers also held two focus groups and distributed 232 surveys to Jordanian students.

In the current research, the objective is to investigate the many aspects of brands that influence the purchasing decisions of consumers. A total of 470 questionnaires were delivered to participants who were in possession of cellular devices that were branded with the Samsung brand. The structural equation modeling approach was used in order to evaluate the study hypotheses. According to the findings of the research, there is a strong favorable influence of perceived brand name and perceived brand quality on consumer purchase choices. On the other hand, the study discovered that perceived brand price and perceived brand value have a negligible effect on a customer's decision to make a purchase. In addition to the fact that several study possibilities have been found that may be of assistance to other researchers, the suggestions were produced with the intention of enhancing the function of the brand dimensions in order to profit from it in the marketing of cellular devices for both firms and consumers.

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.