Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/4610
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dc.contributor.authorManeswa, Jubilee P.-
dc.date.accessioned2025-11-06T13:44:31Z-
dc.date.available2025-11-06T13:44:31Z-
dc.date.issued2025-
dc.identifier.citationManeswa, J. P. (2025). The impact of the adoption of 5G technology in low income/rural areas: A case study of Chitungwiza, Zimbabwe (Undergraduate dissertation). Mutare: Africa University.en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/4610-
dc.description.abstractThis study examined the impact of 5G technology adoption in low-income areas, focusing on Chitungwiza, Zimbabwe. As the fifth generation of wireless communication, 5G provided faster, more reliable connections with higher data transfer speeds, lower latency, and greater network capacity. The research assessed how 5G adoption could help bridge the digital divide by improving access to high-speed internet and digital services. It explored potential benefits in education, healthcare, and economic development while identifying challenges such as infrastructure requirements, affordability, and societal barriers. The study analyzed the socio economic impact of 5G adoption, including effects on local businesses, job creation, entrepreneurship, and community development. Data was collected through questionnaires targeting low-income residents and small businesses, enabling a comprehensive analysis of diverse perspectives. Despite financial challenges associated with implementation, the anticipated long-term benefits positioned 5G as a valuable investment for fostering inclusive growth.en_US
dc.language.isoenen_US
dc.publisherAfrica Universityen_US
dc.subject5G technologyen_US
dc.subjectdigital divideen_US
dc.subjectlow-income areasen_US
dc.subjectChitungwizaen_US
dc.subjectsocio-economic impacten_US
dc.subjectcommunity developmenten_US
dc.subjectadoption challengesen_US
dc.titleThe Impact of the Adoption of 5G Technology in Low Income Rural Areas: A Case Study of Chitungwiza, Zimbabween_US
dc.typeOtheren_US
Appears in Collections:Department of Artificial Intelligence, Software Engineering and Computer Science



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