A Cloud Computing Technology for Knowledge Centers

El-Azab, Samia; Alazab, Mamoun; Utsumi, P. E. Takeshi

doi:10.1109/econf.2013.67

Cited by 1 publication

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“…Other studies have referred to distance collaborative teaching and research [84], clouded and ''ubiquitous'' learning environments [80], and CC for students with attention deficit hyperactive disorder (ADHD) [89]. Finally, varied categories include working in a library setting [70], rural e-learning sustainability [87],cloud-based e-learning security measures and management standards [83], teaching resource application [88], university business processes [81], CC for knowledge centers [85], teaching assistant systems [75],e-learning application design [71], and CC for faculty members [76].…”

Section: ) Review and Survey Articlesmentioning

confidence: 99%

Cloud Computing Adoption in Higher Education Institutions: A Systematic Review

et al. 2019

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Cloud computing (CC) is a recently developed computing paradigm that can be utilized to deliver everything-as-a-service to various businesses. In higher education institutions (HEIs), CC is rapidly being deployed and becoming an integral part of institution experience. CC adoption in HEIs is accompanied by numerous scientific contributions that address the topic from different perspectives. A systematic review of these heterogeneous contributions, which provide a coherent taxonomy, can be considered interesting for HEIs to identify opportunities to use CC in its own context. Therefore, this systematic literature review aims to analyze existing research on adopting and using CC in HEIs, review background research to develop a coherent taxonomy and provide a landscape for future research on CC in HEIs. The outcomes of this paper include a coherent taxonomy and an overview of the basic characteristics of this emerging field in terms of motivation and barriers of adopting CC in HEIs, existing individual and organizational theoretical models to understand the future requirements for extensively adopting and using CC in HEIs, and factors that influence the adoption of CC in HEIs at individual and organizational levels. Considerable information is available in relation to adopting and using CC in HEIs. This review will enhance this information by offering an in-depth analysis of the existing data to bridge any gap and expand on existing literature.

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