Impact of user-generated travel posts on travel decisions
A comparative study on Weibo and Xiaohongshu
Datos Bibliográficos
| ID | 13136368 |
|---|---|
| Autores | Zhuoli Wang (Hong Kong Polytechnic University), W J Huang (0000-0002-8721-9704, Hong Kong Polytechnic University, autor de correspondencia), Becky Liu-Lastres (0000-0002-7970-4865, Indiana University – Purdue University Indianapolis) |
| Año | 2022 |
| Volumen | 3 |
| Número | 2 |
| Páginas | 100064-100064 |
| Fecha de publicación | 2022-08-02 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Annals of Tourism Research Empirical Insights (JOURNAL) |
| Identificadores de la revista | ISSN: 2666-9579 • E-ISSN: 2666-9579 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.annale.2022.100064 |
| OpenAlex | W4289515866 |
| Idioma | EN |
| Citas recibidas | 38 |
| Referencias citadas | 52 |
With the growing popularity and versatility of mobile applications, this study examined consumers' usage of multi-functional social media content apps and the influence of user-generated travel posts on their travel decision-making. Using the case of Chinese millennial travelers and Weibo and Xiaohongshu as representative apps, semi-structured interviews and surveys were conducted. Results showed that while respondents used Weibo more often in daily life, Xiaohongshu was more likely to influence their destination selection. Key attributes of travel posts and preferences of different user groups were identified. The relative importance of each attribute in guiding dining/accommodation/transportation/shopping/attraction decisions was examined. The most active app users placed lower importance on the number of images and higher importance on length of text and language style
Accommodation · Advertising · Business · Geography · Internet privacy · Key (lock · Mobile apps · Popularity · Selection (genetic algorithm · Social media · Style (visual arts · World Wide Web · Computer Science · Consumer Behavior in Brand Consumption and Identification · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Psychology · Social Psychology · Artificial Intelligence
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| Obras citantes distintas | 38 |
|---|---|
| Citas por año | 12,67 |
| Intervalo de citas | 2023 - 2026 (4) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 36 |