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Conceptualizing a model for adoption of cloud computing in education

Author

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  • Sabi, Humphrey M.
  • Uzoka, Faith-Michael E.
  • Langmia, Kehbuma
  • Njeh, Felix N.

Abstract

Cloud computing is a pervasive computing paradigm that has revolutionized how computer infrastructure and services are delivered. Current research trends on cloud computing have been focused on the technology, applications, costs, benefits, and security of cloud computing at the organizational level within small and medium sized enterprises. Little research attention has been paid on adoption and usage of cloud computing at educational establishments and how contextual factors can influence diffusion and adoption of cloud computing. Universities in developing countries are faced with challenging socio-economic and political constraints that limit their ability to invest in expensive information systems to compete on the global stage. Using constructs from the diffusion of innovation theory and the technology acceptance model, this paper proposes a model that takes account of contextual, economic, and technological influences in the perception and adoption of cloud computing at universities in sub-Saharan Africa. Results from a pilot study, based on the model, through a survey of university lecturers and IS experts shows reliability and validity of the instrument and supports its usage for a more extensive study. Implications, potential contributions to research, and suggestions for future study are discussed.

Suggested Citation

  • Sabi, Humphrey M. & Uzoka, Faith-Michael E. & Langmia, Kehbuma & Njeh, Felix N., 2016. "Conceptualizing a model for adoption of cloud computing in education," International Journal of Information Management, Elsevier, vol. 36(2), pages 183-191.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:2:p:183-191
    DOI: 10.1016/j.ijinfomgt.2015.11.010
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    3. Haneem, Faizura & Kama, Nazri & Taskin, Nazim & Pauleen, David & Abu Bakar, Nur Azaliah, 2019. "Determinants of master data management adoption by local government organizations: An empirical study," International Journal of Information Management, Elsevier, vol. 45(C), pages 25-43.
    4. Hiran, Kamal Kant & Dadhich, Manish, 2024. "Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order SEM-ANN analytical approach," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    5. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.

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