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Validation of e-Government Information Delivery Attributes: The Adoption of the Focus Group Method

Monteiro, J. A. , Bernardo, Maria do Rosário Matos , Mafalda Luísa de Castro Ferreira , Tânia de Jesus Vilela da Rocha. Corresponding author: Monteiro, J. A.

ISLA — Instituto Politécnico de Gestão e Tecnologia

JUCS - Journal of Universal Computer Science, Volume 27, Issue 10, 28 10 2021, pp. 1069–1095

In democratic countries, government websites became an important channel for interaction with the public administration in the last few years. Nevertheless, several issues have an impact on the way users access to content and information. Lack of accessibility and usability or, in the broad sense, lack of concern with user needs, can still be found in many government websites. To address the problem, a previous literature review on e-government information delivery attributes was performed. Based on this review, a large set of attributes related to quality was obtained to evaluate these dimensions in the context of e-government. The purpose of this study is to better understand which of these attributes are the most valued, in the users&rsquo; perspective, for evaluating content delivered by government websites. A qualitative approach was adopted, using Focus Group interviews as a strategy to obtain data and Thematic Analysis to analyze such data. The main results highlighted the attributes related to content delivery, interaction, and emotional aspects. User Experience, accessibility, and usability were prioritized by Focus Group participants.

Keywords

#e-Government #government websites #user experience #Accessibility #Usability #user needs #content distribution #user interaction #emotional factors #website quality evaluation #Computer science #Focus group #Thematic analysis #Context (archaeology) #Government (linguistics) #Quality (philosophy) #Set (abstract data type)

Bibliographic Details

Publication Type Journal article

Publication Year 2021

Journal / Conference / Work JUCS - Journal of Universal Computer Science

ISSN 0948-6968

Volume / Issue Vol. 27 (10)

Pagination pp. 1069–1095

Publication Status Published

Quartile (SCImago) Q2

Scopus Indexing Indexed source (via SCImago)

ISLA Authors & Affiliations

Validation of e-Government Information Delivery Attributes: The Adoption of the Focus Group Method

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Bibliographic Details

ISLA Authors & Affiliations