E-government adoption and user’s satisfaction: an empirical investigation
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Notice bibliographique
Résumé
Purpose – The purpose of this paper is to examine the relationships among e-government attributes in terms of social influence, perceived effectiveness, system quality, and information quality user satisfaction and intention to use e-government services in United Arab Emirates (UAE). Design/methodology/approach – This study is based on previous research on e-government services, and has relied partially on Delone and Mclean’s (2004) updated IS success model and the new theoretical and accepted model (UTAUT). These models were used to examine the impact of some selected attributes of e-government on the adoption of e-government services in the UAE from the perspective of a citizen. A questionnaire survey was used to collect data from a total of 1,800 e-government users in the UAE and structural equation modeling was utilized to test the theoretical model. Findings – This study has identified five main findings. First, it provides evidence of the direct effects of e-government attributes on user satisfaction. Second, it provides evidence of the direct effects of user satisfaction on user intention to use e-government services. Third, it provides evidence of the direct effects of e-government attributes on intention to use. Fourth, it demonstrates the positive total effects (direct and indirect) of e-government attributes on the intention to use e-government services in the UAE through user satisfaction. Fifth, two attributes of e-government – system quality and information quality – have emerged as having a strong effect on the intention to use e-government services. Research limitations/implications – The research study was limited to the UAE geographical region. It would be very interesting to see if there are regional variations when compared to the findings of this research study. The target respondents for this study are internet users. Future research needs to be extended to include both users and nonusers of the internet for the purpose of comparison, and looking at the perception of a technology divide among citizens as a factor influencing citizen intention to adopt e-government services. Practical implications – This study would help policy makers understand e-government users and to implement policies at large to meet the citzens ' needs of e-government services. The results of the study and the proposed model can be used as a guideline for e-government strategy formulation and implementation for the Government of UAE. The results of the study imply that decision makers of e-government programs should take into considerations these attributes when developing e-government programs because they affect users’ satisfaction and in turn enhances users’ intentions to use e-government services and consequently increase the success of e-government strategic programs. Originality/value – This paper is one of the few studies on e-government adoption in an Arab country and the first study on e-government adoption in the UAE. The paper’s originality and value comes from its theoretical contribution as a first paper in this region to empirically test the impact of some selected variables (social influence, perceived effectiveness, system quality, and information quality) on user satisfaction and intention to adopt e-government services. In contrast to previous research, this paper selected user satisfaction as a mediated, rather than a dependent variable.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle