Cloud Adoption Framework for Small and Medium-Size Enterprises (SMEs) in Ethiopia
| dc.contributor.advisor | Fekade, Getahun (PhD) | |
| dc.contributor.author | Birhane, Woldegebreal | |
| dc.date.accessioned | 2018-12-21T08:54:14Z | |
| dc.date.accessioned | 2023-11-04T15:13:12Z | |
| dc.date.available | 2018-12-21T08:54:14Z | |
| dc.date.available | 2023-11-04T15:13:12Z | |
| dc.date.issued | 2018-11-16 | |
| dc.description.abstract | Cloud Computing (CC) is being accepted as one of the emerging technologies that create a new opportunity for enterprises with limited resources. It is promised that cloud can allow firms to reduce costs and to operate more flexibly than with a traditional Information Technology (IT) infrastructure. However, the promising opportunities go hand-in-hand with several challenges that can pose risks for a firm planning to adopt CC. A number of frameworks and models have been developed by prior studies to support cloud adoption process. However, these models and frameworks have been formulated to the context of developed countries. Though worldwide research may be applicable to at least some extent research regarding the adoption of cloud is not fully generalizable to corporate environment. In this study, we have proposed a conceptual cloud adoption model grounded by Technology Organization and Environment (TOE) and Diffusion of Innovation (DOI) frameworks. According to this model, six variables are influencing the Small and Medium Enterprises (SMEs)’ decision to adopt CC. To test the proposed model, we have used dataset collected from 136 SMEs and analyzed using Multiple Linear Regression (MLR). The analysis revealed that the model is statistically significant [F (6,129) 73.631 and p <0.001]. Four out of the six determinants were found to be significant for their influence of cloud adoption. Moreover, a Cloud Deployment Selection Model (CDSM) has been also proposed to support SMEs’ in predicting an appropriate cloud model for their business need. The model is generated by refining the MLR output and using the established principles of Analytic Hierarchy Process (AHP). | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/15229 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | AAU | en_US |
| dc.subject | Cloud Computing | en_US |
| dc.subject | Cloud Adoption | en_US |
| dc.subject | TOE | en_US |
| dc.subject | DOI | en_US |
| dc.subject | Framework | en_US |
| dc.subject | AHP | en_US |
| dc.subject | SMEs | en_US |
| dc.title | Cloud Adoption Framework for Small and Medium-Size Enterprises (SMEs) in Ethiopia | en_US |
| dc.type | Thesis | en_US |