Drivers of Dissatisfaction with an Open Government Data Portal: A Critical Incident Technique Approach
Détails
Télécharger: Paper9637_Revised.pdf (447.35 [Ko])
Etat: Public
Version: Author's accepted manuscript
Licence: Non spécifiée
Etat: Public
Version: Author's accepted manuscript
Licence: Non spécifiée
ID Serval
serval:BIB_00343182EBAD
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
Drivers of Dissatisfaction with an Open Government Data Portal: A Critical Incident Technique Approach
Titre de la conférence
EGOV-CeDEM-ePart2023 CEUR proceedings
Editeur
Springer Nature Switzerland
Organisation
EGOV-CeDEM-ePart 2023
Adresse
Corvinus University of Budapest
September 4-7, 2023
September 4-7, 2023
ISBN
9783031411373
9783031411380
9783031411380
Statut éditorial
Publié
Date de publication
2023
Langue
anglais
Résumé
Open government data (OGD) has emerged as a crucial aspect of dig- ital transformation strategies, prompting many governments to establish national OGD portals to facilitate access to large amounts of public sector datasets. How- ever, despite the OGD portals’ goal of serving as intermediaries between OGD producers and OGD users, they have faced numerous criticisms for their low use and failure to adequately meet users’ needs. The lack of consensus within the OGD community on the sources of dissatisfaction with the OGD portals and their negative impact on their use warrants a detailed examination of users’ dissatisfy- ing experiences. Taking a user-centred perspective, I adopt a critical incident technique (CIT) approach to identify the drivers and sources of dissatisfaction with a national OGD portal. Based on my analysis, a descriptive model is pro- posed to help to comprehend the interrelations between three sources of dissatis- faction with the OGD portal and ten respective drivers: OGD production (i.e., development of high-quality datasets, completeness of the metadata), OGD dis- tribution (i.e., accessibility of the datasets, organisation of the datasets, centrali- sation of the datasets, search engine, interface, visualisation), and OGD use (i.e., skills and knowledge, and added value).
Mots-clé
Open Government Data, Dissatisfaction, Critical Incident Technique
Création de la notice
07/12/2023 15:44
Dernière modification de la notice
08/12/2023 7:08