| id |
caadria2021_130 |
| authors |
Han, Yoojin and Lee, Hyunsoo |
| year |
2021 |
| title |
Exploring the Key Attributes of Lifestyle Hotels: A Content Analysis of User-Created Content on Instagram |
| source |
A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 71-80 |
| doi |
https://doi.org/10.52842/conf.caadria.2021.1.071
|
| summary |
This study aims to investigate the key attributes of lifestyle hotels by analyzing user-created content on Instagram, an image-based social network service. In an era of uncertainty in the tourism and hospitality industry, it is inevitable that hotels must create a competitive identity. However, even with the significant growth of the lifestyle hotel segment, the concept of a lifestyle hotel is still vague. Therefore, to explore how to define, perceive, and interpret lifestyle hotels and to suggest their crucial attributes, this paper examines user-created content on Instagram. The data from 20,886 Instagram posts related to lifestyle hotels, including 2,209 locations, 43,586 hashtags, and 20,866 images, were analyzed using Vision AI, a social network analysis method and computer vision technology. The results of this study demonstrated that lifestyle hotels are perceived as design-focused branded hotels that represent the urban lifestyle and share both vacation and urban activities. Furthermore, the results reflected one of the latest hospitality trends-a holiday in an urban setting in addition to the primary purpose of traveling. Finally, this research suggests broader uses of big data and deep learning for analyzing how a place is consumed in a geospatial context. |
| keywords |
Lifestyle Hotel; Hospitality Experiences; User-Created Content; Social Network Analysis; Vision AI |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (13,681,753 bytes) |
| references |
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| last changed |
2022/06/07 07:50 |
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