Cloud computing: a success model for South African private hospitals

Authors

  • Aubrey Kamalizeni University of KwaZulu-Natal, Durban, South Africa; aubkamalizeni@yahoo.com
  • Collin Kamalizeni Mananga Management Centre, Mbabane, Eswatini; Collink54@yahoo.com
  • Sanjay Ranjeeth University of KwaZulu-Natal, Durban, South Africa; ranjeeths@ukzn.ac.za https://orcid.org/0000-0002-0069-9830

Keywords:

Cloud computing, computing, healthcare, hospitals, information systems, information technology, IT, modelling, South Africa

Abstract

Over the years, hospitals have failed to access important data quickly due to unavailability of kept records leading to either loss of time or reassembling the processes to recapture lost information. The purpose of this paper was to find out about the critical quality factors influencing South African hospitals cloud computing performance. The primary research focus was on private cloud computing (CC) and 72 questionnaires were administered on CC quality by the Chief Information Officers to explore their thoughts on the matter. The findings show that the incorporation of trust into the performance model of information systems should explain the performance of cloud computing in hospitals in an appropriate way. In addition, the quality of information service and device functionality affect cloud satisfaction directly, thus the two are directly affected by trust satisfaction. Trust is the mediator element between the quality of service and fulfilment. This popular CC model will assist hospitals determine success or failure in South Africa. This study further noted that the findings from surveying CIOs can be different from those of regular users. For better understanding of this subject, this study proposes comparative research to be carried out in the future.

To cite: Kamalizeni, A., Kamalizeni, C. & Ranjeeth, S. (2020). Cloud computing: a success model for South African private hospitals. Journal of Management & Administration (2020/2), 1–17. https://hdl.handle.net/10520/ejc-jomad-v2020-n2-a6

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Published

2020-12-01

Issue

Section

Research Articles