Notice bibliographique
Résumé
Information and communications technologies (ICTs) have become key tools and had a revolutionary impact of how we see the world and how we live (Dabesaki, 2005). They have the potential to be a major driving force behind the economic growth of any nation because of their potentially strong restructuring impact on existing economic activities and the ability to affect economic activities in a variety of ways. These include improving the quality of existing services, creating new services, raising labor and productivity, increasing capital intensity, enhancing economics of scale, and creating new economic structures. ICTs are also paving the way for greater ease of movement of technical and financial services, and are instrumental to development during the rapid globalization process. From the information technology revolution, a new kind of economy emerges. This is the information-based economy in which information along with capital and labor is a critical resource for creation of income and wealth for the enhancement of competitiveness. ICTs have also left their mark on the political and social dimensions of development, specifically by enhancing participation in decision-making processes at the corporate, local, and national levels. It is an established fact that a few developing countries like China, India, and Brazil are successfully taking advantage of the opportunities information and communications technologies offer and have made significant improvement in their economic, and many more developing countries (including Nigeria) are beginning to derive some of the potential benefits. For most of the developing world, however, information and communications technologies remain just a promise, and it seems a distant one at that. There is little evidence from past experience of national and international development policies, strategies, and programs to suggest that much will change for large segments of the world’s poorest people. Nigeria, like most developing countries, is an “information- poor” country where the deployment and application of ICTs is still in its infancy. This article, which is an updated version of an earlier one (Ajiferuke & Olatokun, 2005), presents the current status of ICT in Nigeria, particularly its applications in some sectors of the nation’s economy. It also identifies some inhibitions to the effective deployment and exploitation of ICT in Nigeria and concludes with a discussion of the policy issues, challenges, and prospects of ICT use in Nigeria.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| 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 ».