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A model for information architecture of government web sites in Southern Africa

The main purpose of this research is to investigate the Information Architecture (IA) of government web sites in Southern Africa. The government web sites of Mozambique and South Africa were selected for the purpose of this research. A further aim of this research was to derive a model for the IA of government web sites. The model was based on IA components and guidelines as well as on web site components and E-government requirements. The IA guidelines in the model were derived from general design guidelines and guidelines for government web sites. The IA guidelines in the proposed model were used to conduct an analytical and empirical evaluation of the selected sites. The selection of the sites was based on similarities in the Information and Communication Technology (ICT) strategies and policies, the annual Internet growth rates, the Internet user profiles and the Egovernment initiatives in both countries. Differences between the sites also contributed to their selection. Mozambique is one of the least developed countries in the world, while South Africa is one of the most developed countries in Africa. Heuristic evaluation was used for the analytical evaluation while questionnaires and user testing were used for the empirical evaluation. Some of the usability problems identified in the heuristic evaluation, such as incorrect organisation of information and navigation issues, were also identified in the empirical evaluation, confirming to the existence of these usability problems. The results of this research show that the IA of government web sites has an impact on user performance and satisfaction and that the proposed model can be used to design and evaluate the IA of government web sites in Southern Africa.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:10479
Date January 2006
CreatorsBernardo, Tomás
PublisherNelson Mandela Metropolitan University, Faculty of Science
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeThesis, Masters, MSc
Formatxiii, 175 leaves, pdf
RightsNelson Mandela Metropolitan University

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