Green information and communication technology (ICT) is viewed as a pioneering initiative that plays a key role in reducing the negative impact of ICT on the environment. The research problem of the study was the low green ICT adoption rate in South African small and medium enterprises (SMEs). The primary objective was to identify the most prominent barriers resulting in this low adoption rate. The first secondary objective was to determine the barrier with the strongest underlying correlation resulting in the low adoption rate of green ICT in South African SMEs. The second secondary objective was to recommend strategies on how to improve the adoption rate of green ICT. A self-administered questionnaire was used to collect data through electronic and paper-based surveys. A census study was conducted among owners and managers of high-technology-based SMEs located in Gauteng. An exploratory factor analysis was employed to identify the barriers resulting in the low adoption rate of green ICT. These barriers were found to be a lack of funding, awareness, legislation, skills, and knowledge based on complexity and uncertainty. A lack of funding was identified as the most prominent barrier to adopting low green ICT. Although five constructs were discussed in the literature, the overall results presented six components, with the construct of knowledge being made up of two parts – complexity and uncertainty. This study recommends that SMEs align green ICT initiatives with their strategic goals and that government consider more adequate support structures for SMEs. The study confirmed a low green ICT adoption rate in South African SMEs, and more research is required to explore the impact of each of the factors above on the environment. / Business Management / M. Com. (Business Management)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/27372 |
| Date | 12 1900 |
| Creators | Bok, Elizma Sharee |
| Contributors | Tolmay, Alet, Sookdeo, Barnes |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Dissertation |
| Format | 1 online resource (xii, 166 leaves) : illustrations (some color), application/pdf |
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