Original Research

Cloud capability maturity model: A study of South African large enterprises

Viresh Moonasar, Visvanathan Naicker
SA Journal of Information Management | Vol 22, No 1 | a1242 | DOI: https://doi.org/10.4102/sajim.v22i1.1242 | © 2020 Viresh Moonasar, Visvanathan Naicker | This work is licensed under CC Attribution 4.0
Submitted: 23 April 2020 | Published: 27 November 2020

About the author(s)

Viresh Moonasar, Vodacom, Gauteng; School of Business Leadership, University of South Africa, Midrand, South Africa
Visvanathan Naicker, Department of Business and Information Administration, Faculty of Business and Information Management, Cape Peninsula University of Technology, Cape Town, South Africa


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Abstract

Background: The adoption of cloud services can enable enterprises to realise improved cost structures, agility and productivity, yet the rate of adoption has been measured. Despite the benefits of cloud computing and the fact that the overall adoption of public cloud services is gaining momentum, South African large enterprises are cautious in adopting the services of cloud service providers because of perceived challenges of cloud adoption.

Objectives: The objective of this study was to examine how do South African large enterprises assess and advance their cloud readiness and maturity such that cloud service practices contribute positively to business efficiency and agility whilst mitigating against the perceived risks of cloud computing.

Method: This research employed a qualitative approach using in-depth interviews. Sixteen South African large enterprise cases were studied by interacting with respondents associated with cloud decision-making. Data were collected from specific cases, utilising non-probability sampling.

Results: Reinvention of the organisation can be enabled through the advanced, integrated cloud and analytic features available through the global public cloud providers such as artificial intelligence and machine learning. A cloud maturity framework and a cloud capability maturity model to optimise and advance cloud maturity status are presented.

Conclusion: This article guides information technology (IT) managers to achieve an optimal cloud maturity status level using a proposed cloud capability maturity model. The cloud framework developed in this study will assist IT managers and decision-makers to use evidence-based management principles to determine their maturity of cloud adoption.


Keywords

cloud maturity; cloud service model; cloud capability maturity model; cloud service provider.

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