University of Venda
The Adoption of the National Traffic Information System (NaTIS) by the Citizens during the Covid-19 Pandemic in South Africa
Abstract
dc:description.abstractThis study examines citizens' engagement with the National Department of Transport services in South Africa, focusing on the NaTIS system. The central issue under investigation is the factors influencing the adoption and utilization of NaTIS among South African citizens. This study identifies and synthesizes several key themes through an extensive literature review. These themes include - the significance of user-friendliness and robust support mechanisms, adaptability to new technologies, working experience, awareness, trust, user preferences, and the role of social influence in technology adoption. Underpinned by the Unified Theory of Acceptance and Use of Technology (UTAUT), this study employs a mixed-method approach, hence, incorporating both quantitative and qualitative methods. It utilizes surveys, factor analysis, and regression analysis to gather and analyse data, thereby, offering a comprehensive understanding of the factors influencing NaTIS adoption. The study provides empirical insights into citizens' interactions with NaTIS. Key findings emphasize the importance of - user-friendliness, adaptability to new technologies, and social influence - in promoting technology acceptance. These findings present valuable guidance for policymakers and public service managers, to enhance the quality of e-Government services in South Africa. The recommendations offered in the study can contribute to making public services more citizen-centric and technologically-acceptable.
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
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- Rambau, Thifhindulw Maxwell
- Advisors dc:contributor.advisor
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- Munyoka, W.
- Ochara, N. M.
Subjects
dc:subject × 6Rights
dc:rights- Statement dc:rights
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- University of Venda
Identifiers
dc:identifier.*- Repository record dc:identifier.uri
- http://univendspace.univen.ac.za/handle/123456789/2678
- OAI identifier oai:identifier
- oai:univendspace.univen.ac.za:123456789/2678