A conceptual framework for the adoption of e-logistics technologies: Towards improved data analytics practice in the Western Cape fishing industry
| dc.contributor.advisor | Pather, Shaun | |
| dc.contributor.author | Khumalo, Bradley Bucky | |
| dc.date.accessioned | 2023-08-08T10:20:45Z | |
| dc.date.accessioned | 2024-05-03T08:47:44Z | |
| dc.date.available | 2023-08-08T10:20:45Z | |
| dc.date.available | 2024-05-03T08:47:44Z | |
| dc.date.issued | 2023 | |
| dc.description | Doctor Educationis | en_US |
| dc.description.abstract | E-logistics technologies to enhance supply chain efficiencies and improve data analytics across nations and industries continue to be developed. These provide the capacity and capability to enable timely, accurate and readily accessible data analytics at low cost and greater efficiencies. The abundance of these technologies has not translated to increased e-logistics technology adoption in the local fishing industry. Instead, the industry continues to use, as part of its operations, outdated methods of data collection resulting in frequently inaccurate and incoherent analyses. While quantitative fisheries management has significantly improved, data analytics has remained a challenge. Consequently, there have been numerous calls for the adoption and implementation of e-logistics technologies which would improve data analytics capabilities, complementing quantitative fisheries management interventions. | en_US |
| dc.identifier.uri | https://hdl.handle.net/10566/12644 | |
| 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 | Data analytics | en_US |
| dc.subject | Fishing industry | en_US |
| dc.subject | Western Cape | en_US |
| dc.subject | Technology | en_US |
| dc.title | A conceptual framework for the adoption of e-logistics technologies: Towards improved data analytics practice in the Western Cape fishing industry | en_US |