How Tourists Perceive the Usefulness of Technology Adoption in Hotels
Interaction Effect of Past Experience and Education Level
Datos Bibliográficos
| ID | 12974299 |
|---|---|
| Autores | Pimtong Tavitiyaman (0000-0002-3475-6856, Hong Kong Polytechnic University, autor de correspondencia), Xinyan Zhang (0000-0002-8274-8711, Hong Kong Polytechnic University), Wing Yin Tsang (Hong Kong Polytechnic University) |
| Año | 2020 |
| Volumen | 18 |
| Número | 1 |
| Páginas | 64-87 |
| Fecha de publicación | 2020-08-11 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Journal of China Tourism Research (JOURNAL) |
| Identificadores de la revista | ISSN: 1938-8160 • E-ISSN: 1938-8179 |
| Editorial | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/19388160.2020.1801546 |
| OpenAlex | W3048535885 |
| Idioma | EN |
| Citas recibidas | 11 |
| Referencias citadas | 42 |
This study examines the interaction effect of past experience and education level on the perceived usefulness of hotel technology. This study also investigates the influence of the perceived usefulness of hotel technologies, such as artificial intelligence, robotics, and service automation, on the behavioral intention of customers through their past experience. A total of 301 international tourists participated in this study. Results show that the past experiences and education level of tourists exhibit an interaction effect on the perceived usefulness of hotel technologies in terms of understanding and answering questions, providing accurate information, and communicating through various languages. The perception of technology adoption tends to show the commonality for the inexperienced tourists regardless of education level. However, such a perception fluctuates among experienced tourists with increased educational level, particularly among the graduate group. In addition, the effect of the perceived usefulness of hotel technologies on behavioral intention is stronger for experienced hotel customers than for inexperienced ones. Academic and managerial implications are also discussed for future research development
Business · Perception · Service (business · AI in Service Interactions · Applied Psychology · Digital Marketing and Social Media · Psychology · Social Psychology · Technology Adoption and User Behaviour · Marketing
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| Obras citantes distintas | 11 |
|---|---|
| Citas por año | 2,75 |
| Intervalo de citas | 2022 - 2026 (5) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 11 |