Understanding the factors that influence the adoption of Big Data at a government department in the Western Cape
| dc.contributor.advisor | Njenga, James | |
| dc.contributor.author | Bruintjies, Andre | |
| dc.date.accessioned | 2023-03-06T08:08:47Z | |
| dc.date.accessioned | 2024-05-03T08:47:52Z | |
| dc.date.available | 2023-03-06T08:08:47Z | |
| dc.date.available | 2024-05-03T08:47:52Z | |
| dc.date.issued | 2022 | |
| dc.description | Magister Commercii (Information Management) - MCom(IM) | en_US |
| dc.description.abstract | Big Data, henceforth (BD), enables governments to produce and accumulate huge amounts of structured and unstructured data through their everyday activities. Due to the types of data produced and the volume, velocity and complexity of the data, government organisations need to find innovative ways to analyse it. Government organisations have since realised the potential to derive value from BD and, therefore, a need to adopt BD into their data activities. Currently, South African governmental organisations have not fully committed to adopting BD because they are unsure if they are adequately equipped, and additional empirical research is required to understand the salient factors that influence BD adoption. | en_US |
| dc.identifier.uri | https://hdl.handle.net/10566/12681 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of the Western Cape | en_US |
| dc.rights.holder | University of the Western Cape | en_US |
| dc.subject | Big data | en_US |
| dc.subject | Information systems | en_US |
| dc.subject | Information technology | en_US |
| dc.subject | Western Cape | en_US |
| dc.subject | Information management | en_US |
| dc.title | Understanding the factors that influence the adoption of Big Data at a government department in the Western Cape | en_US |