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Multiple Perspective of Cloud Computing Adoption Determinants in Higher Education a Systematic Review

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  • Mohammed Banu Ali

    (Alliance Manchester Business School, University of Manchester, Innovation Management and Policy Division, UK)

Abstract

Cloud computing has become a major talking point in recent times. An innovation such as cloud computing for higher education institutions (HEI) can be a cost effective means to operate their IT systems effectively without having to spend vast amounts of money on developing their IT infrastructure. HEIs also face the burden of several challenges e.g. limited infrastructure resources and IT budget, as well as limited teaching staff, technical experts, and IT skilled personnel. With support from a systematic literature review approach, this article identifies the key determinants of cloud adoption from a technological, organisational, environmental and personal perspectives. A total of 17 cloud adoption studies in the HEI context and their respected models from the period of 2012 to 2017 are reviewed and discussed. The findings suggest a lack of cloud adoption studies in the HEI domain from multiple perspectives, particularly in relation to the wider socio-technical concerns related to cloud adoption and future studies related to this research gap are deliberated.

Suggested Citation

  • Mohammed Banu Ali, 2019. "Multiple Perspective of Cloud Computing Adoption Determinants in Higher Education a Systematic Review," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 9(3), pages 89-109, July.
    • Handle: RePEc:igg:jcac00:v:9:y:2019:i:3:p:89-109
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    Cited by:

    1. agarwal, shekhar & Gordon, Anna, 2022. "Complexities for the Indian Economy of China's Growing Technological Competence," OSF Preprints fk3r7, Center for Open Science.
    2. Hakan Aydin, 2021. "A Study of Cloud Computing Adoption in Universities as a Guideline to Cloud Migration," SAGE Open, , vol. 11(3), pages 21582440211, July.
    3. Guangzhen Zhang & Wangyang Jiang, 2023. "Remote Sensing Image Semantic Segmentation Method Based on a Deep Convolutional Neural Network and Multiscale Feature Fusion," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 19(1), pages 1-16, January.
    4. agarwal, shekhar, 2022. "India’s Rising Technology Economy: Sources and Consequences," OSF Preprints x6yzm, Center for Open Science.
    5. Shahbaz, Muhammad & Zahid, Rimsha, 2022. "Probing the factors influencing cloud computing adoption in healthcare organizations: A three-way interaction model," Technology in Society, Elsevier, vol. 71(C).

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