Satisfaction with Open Government Data Portals: A User-Centric Configurational Perspective

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Ressource 1Télécharger: Satisfaction with Open Government Data Portals_ A User-Centric Co.pdf (435.10 [Ko])
Etat: Public
Version: Final published version
Licence: Non spécifiée
ID Serval
serval:BIB_AE2AC43C14AF
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Satisfaction with Open Government Data Portals: A User-Centric Configurational Perspective
Titre de la conférence
Proceedings of the Forty-Third International Conference on Information Systems
Auteur⸱e⸱s
Francey Alizée, Mettler Tobias
Editeur
Association for Information Systems
Organisation
Forty-Third International Conference on Information Systems
Adresse
Copenhagen, Denmark
Statut éditorial
Publié
Date de publication
04/11/2022
Peer-reviewed
Oui
Langue
anglais
Résumé
Open Government Data (OGD) has become an important theme of digital transformation strategies as it promises data-driven innovation and greater transparency in government. Many governments have chosen to implement national data portals to grant access to large amounts of public sector datasets. However, the expected uptake by the economy and society has been slow, and criticism towards the basic idea of open government is growing. In this paper, we take an in-depth look at how the perceptions of the features of the portal lead to users’ satisfaction with the OGD portal. Taking a user- centred perspective, we apply a fuzzy-set Qualitative Comparative Analysis methodology to identify different configurations which lead users to be satisfied with the OGD portal. Based on our empirical analysis, we formulate concrete recommendations on how the results can be used to define tailor-based strategies targeting the features of the OGD portals.
Mots-clé
Open Government Data, OGD, Use, Portal, Datasets, Qualitative Comparative Analysis
Création de la notice
23/08/2022 17:13
Dernière modification de la notice
16/11/2022 8:12
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