A bibliometric analysis of social media in hospitality and tourism research
Notice bibliographique
Résumé
Purpose While the importance of social media will continue to grow, the purpose of this study is to provide a retrospective systematic literature review of the social media research published in major hospitality and tourism journals over a specific time period. Design/methodology/approach The study conducted a bibliometric analysis to review the literature of 439 social media articles published in 51 hospitality and tourism journals over a 15-year time span (2002-2016). Findings Ulrike Gretzel authored the highest fractional citations. The results indicated that social media-related research was mostly published in top-tier journals. The International Journal of Contemporary Hospitality Management was amongst the four leading journals in terms of the percentage of published social media articles. While inter-country social media research collaborations were relatively modest, interestingly, inter-country collaborations have been steadily increasing in the past five years. Another finding indicated that social media research in hospitality and tourism journals has been predominantly quantitative. The results revealed six new areas within the consumer behaviour research theme, namely, eWOM, service recovery, customer satisfaction, brand/destination image and service quality. Finally, it is important to note that four new trends in social media research appeared between 2011 and 2016, namely, big data, netnography, Travel 2.0 and Web 2.0. Research limitations/implications While this study made significant contributions to the social media literature, some limitations do exist. For example, the current research excluded publications from major conferences, books, book chapters and dissertations. Additionally, it is not within the scope of this paper to take into account issues related to self-citations. Practical implications The results obtained from analysis contribute to a comprehensive understanding of social media research progress in hospitality and tourism. For example, evaluating the performance of individual scholars helps educational institutions to compete in the global university ranking system. Additionally, to compete for funding opportunities on the topic of social media, institutions can use citation counts to demonstrate their competitiveness. Furthermore, due to the expected future growth in the number of social media platforms, practitioners need to understand motivating factors and tourists’ needs in different countries, target market segments, age groups and cultures to create highly engaging communities around their brands. Originality/value To the best of the authors’ knowledge, the sample of this study synthesized the largest selection of social media articles published in hospitality and tourism journals. This is the first study to apply the fractional score at the author level, the adjusted appearance score at the university level and the average citation score at the journal and inter-country levels in the analysis. In addition, prevalent research orientations and research trends in social media made significant contributions to existing literature.
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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 | 0,009 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,031 | 0,029 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».