Technology enables progress for individuals and organisations; however, adopting technology may not always be simple. Cloud computing technology has revolutionised how one consumes IT. Governments too can leverage the advantages of adopting cloud computing. A review of the literature reveals a gap in research on the adoption of cloud computing by the South African public sector. Limited research has been done on the topic of cloud computing and none of them are from a quantitative perspective. This study set out to answer the question, “What is the extent (current state, benefits, barriers and readiness levels) of the adoption of cloud computing by the South Africa public sector?” The study is of much value to the public sector of South Africa and other countries and organisations wanting to understand what to consider when adopting cloud computing. The study used a survey research strategy that was exploratory in nature. The sample comprised government CIO’s and government Senior IT management. Questionnaires were sent via a web link and 51 responses were completed. The results revealed that more than half of the South African public sector has adopted cloud computing; however there is a lack of visibility of government initiatives that promote cloud computing. The study shows that public organisations that have adopted cloud computing significantly perceive more benefits of cloud computing than organisations that are yet to adopt. The Technology Organisation Environment (TOE) framework tested the barriers to adoption, revealing areas of concern that are limiting successful cloud computing adoption and adoption rates. The study uncovers a timeline for further cloud computing adoption in the South African public sector.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:21142 |
| Date | January 2016 |
| Creators | Govender, Judian |
| Publisher | Nelson Mandela Metropolitan University, Faculty of Business and Economic Sciences |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis, Masters, MBA |
| Format | xii, 119 leaves, pdf |
| Rights | Nelson Mandela Metropolitan University |
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