Factors Influencing Interoperability Level Required for the Implementation of T-Government in Saudi Arabia
Notice bibliographique
Résumé
Governments around the world have invested significant sums of money on Information and Communication Technology (ICT) to improve the efficiency and effectiveness of services being provided to their citizens. However, they have not achieved the desired results because of the lack of interoperability between different government entities. Therefore, many governments have started shifting away from the original concept of e-Government towards a much more transformational approach that encompasses the entire relationship between different government departments and users of public services, which can be termed as transformational government (t-Government). This implementation of t-Government requires a high level of interoperability between government organisations. In this paper, a model is proposed to explore and investigates the key factors that influence interoperability required for the implementation of t-Government in Saudi Arabian context from four key areas, namely, organisational, technological, political and social using institutional theory as a lens. This model was developed comprising the effect of six main constructs: technological compatibility, organizational compatibility, governance readiness, citizen centricity and e-Government program on interoperability required for the implementation of t-Government. The model factors, relationships, and hypotheses stemmed from the literature on Information Sharing, Information Integration, G2G, interoperability and t-Government models.The results show that technological compatibility, organizational compatibility, and governance readiness have a positive impact on the interoperability required for the implementation of t-Government in this particular context. Unexpectedly, it indicates that citizen centricity has negative impact on the interoperability required for the implementation of t-Government. It also shows that there is a direct and positive impact from e-Government program (Yesser) to technological compatibility and governance readiness. Moreover, it shows that there is a direct and positive impact from citizen centricity to e-Government program (Yesser). Unexpectedly, the results indicate that e-Government program (Yesser) has no impact on the interoperability required for the implementation of t-Government. It also indicates that the e-Government program (Yesser) doesn’t affect organizational compatibility.This paper provides a model for creating interoperability between government organisations to help e-Government officials and policy makers to identify the key factors that can affect the interoperability level required for the implementation of t-Government, and examines how these issues could be treated in practice. It also provides a guideline to researchers with regard to the impact of these identified factors on interoperability required for t-Government implementation.
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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 | 0,002 | 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 | 0,001 |
| Communication savante | 0,000 | 0,004 |
| 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».