Descriptive Literature Review and Classification of Community Cloud Computing Research

Abstract

Cloud computing has been devoted to the development of recent advanced technology, aiding in improving a government’s functioning and the services it offers to its people and organizations. It has achieved widespread popularity due to the rising number of benefits, including scalability, versatility, reliability, safety, confidentiality, pay-per-use, and dynamicity for the distribution of IT services. This paper explores a descriptive literature review and aims to classify the scattered communities involved in cloud computing research in information technology. This involves 51 referred published articles between 2010 and 2020 relating to the inception of community cloud computing by various organizations. Based on a systematic structured of reviewed literature and grounded theory approach, articles are categorized with respect to the eleven key influencing variables: cost, security, performance, QoS, trust, accuracy, ease of use, usefulness, architecture, framework, and model. Following that, those variables are comprehended into final one in order to envisage the community cloud computing adoption factors and concepts. This will consent for a strong examination of the community cloud computing phenomenon. The study is a novel attempt to demonstrate the differences in key factors for cloud computing in varying community settings and their causal relationships among the considered variables. The findings from the long-term systematic review contribute by assisting a collection of determinants for the penetration of community clouds services and potential adopters. It could serve as a basis for future directions and the development of theories in the exploring the community cloud computing in the field of information systems. This study contributes to identify various existing research gaps by providing holistic insights and future exploratory approaches that are anticipated to result in a robust unified structure for the adoption of community cloud computing services in the higher education institution (HEIs).

Quadruple Theories Based Determinants and their Causal Relationships Affecting the Adoption of Community Cloud in Saudi HEI

“…The article by Aldahwan and Ramzan [ 16 ], studiedcontributes to the field of community cloud computing research by offering a comprehensive review of related trends in concepts, methodology, research framework, architecture, model, and future research directions.…”

On the Willingness of Fujian Farmers to Sell Agricultural Products by Means of New Media from the Perspective of Rural Revitalization: Analysis Model Design Based on Programmed Grounded Theory

“…In grounded theory, the first is to conduct an open coding analysis on all interview data texts; that is, the interviewer will code, conceptualize, and categorize the data in the original text records of interviewees, so as to form the original data statements, as well as initial concepts and categories. In this study, Nvivo12plus software [21][22][23][24][25] is used to sort out the interview materials, and more than 300 original sentences are obtained. en, 37 initial concepts and 17 effective initial categories are generated by categorizing the initial concepts with word frequency greater than 2 times.…”

The Descriptive Data Analysis for the Adoption of Community Cloud in Saudi HEI-Based Factor Adoption

“…The article by Aldahwan and Ramzan [ 20 ] conducted a comprehensive review of the literature on community cloud adoption and the application of community cloud technology in various industries. The research shows that the community cloud computing technology provides significant benefits to higher education institutions, but that a centralized, well-structured system is required.…”