The impact of national culture traits on the usage of web 2.0 technologies
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Notice bibliographique
Résumé
Purpose Web 2.0 technologies are becoming popular and are being used not only for social networking but also to facilitate communication and increase knowledge sharing in the work environment. Extensive research has been conducted in the past to understand the factors affecting the adoption and use of IT systems but few have studied the influence of national culture on such adoption models. When it comes to web 2.0 usage, the literature is only emerging and the role of national culture has not been addressed. The purpose of this paper is to fill this gap. Design/methodology/approach In order to better understand the factors that affect the use of web 2.0 technologies and the influence of national culture on it, data were collected from 376 young adults in the age range of 18‐29 from the USA, Thailand and Bahrain. A model was developed and statistically tested to understand the influence of national culture traits, social grooming aspects, efficiency, online privacy, perceived usefulness, subjective norms and gender. Findings Based on the type of web 2.0 usage (expressive or instrumental) different variables were demonstrated to be significant predictors. For expressive usage, uncertainty avoidance, maintaining relationships, online privacy and perceived usefulness were significant. For instrumental usage, long‐term orientation and perceived usefulness were significant. A ranking of various types of web 2.0 usage was also created, showing very few differences among countries. Research limitations/implications This research is the first step in a series of research activities that should be conducted to better understand the influence of culture in the adoption and usage of web 2.0 technologies. The sample was composed only of “Millennial” generation students and should be extended to other generations and to other countries with markedly different cultural profiles. Practical implications The findings of the paper help to better understand the usage of web 2.0 technologies by young adults who are about to enter the labor market and are likely to use Enterprise 2.0 applications in their work environment. Since web 2.0 technologies are centered on the concepts of communication, collaboration and information sharing, they will influence the behavior of future knowledge workers in terms of knowledge sharing. Accordingly, better understanding of web 2.0 use will help to improve the understanding of Enterprise 2.0 and knowledge management tools usage in a global environment. Originality/value This paper's original contribution stems from the fact that the influence of national culture on the use of web 2.0 has not yet been addressed in the literature.
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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 | 0,001 |
| 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 | 0,000 |
| 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 découle