농어촌 공유숙박 리뷰에 관한 다층적 분석: 공간, 시간, 감성의 관점에서A Multi-Layered Analysis of Rural and Coastal Shared Accommodation Reviews Across Space, Time, and Sentiment
- Other Titles
- A Multi-Layered Analysis of Rural and Coastal Shared Accommodation Reviews Across Space, Time, and Sentiment
- Authors
- 김부성; 안민영; 김태영; 유동희
- Issue Date
- Dec-2025
- Publisher
- 한국인터넷전자상거래학회
- Keywords
- Shared Accommodation; Airbnb; Online Consumer Review; Text Mining; Sentiment; Analysis; Topic Analysis
- Citation
- 인터넷전자상거래연구, v.25, no.6, pp 281 - 304
- Pages
- 24
- Indexed
- KCI
- Journal Title
- 인터넷전자상거래연구
- Volume
- 25
- Number
- 6
- Start Page
- 281
- End Page
- 304
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/81847
- ISSN
- 1598-1983
- Abstract
- Rural and coastal regions in South Korea face growing sustainability challenges from population decline, aging, and vacant housing. Airbnb’s detached accommodations have become a key means of revitalizing local economies and regenerating cultural landscapes by turning idle housing into tourism assets. Understanding the detailed needs and emotions of visitors is essential for sustaining rural tourism vitality and maximizing these regional benefits. Despite Airbnb’s rising importance especially after COVID-19 increased demand for contact-free lodging most prior studies have focused on metropolitan areas, offering limited insights into rural contexts. This study applies text mining to Airbnb reviews from rural (Sancheong, Hamyang, Hadong) and coastal (Namhae) regions of Gyeongnam Province from February 2020 to May 2025. The analysis reveals that during the pandemic, rural visitors emphasized spatial satisfaction and SNS sharing, while coastal visitors valued scenic experiences. After the pandemic, priorities shifted toward host satisfaction, cleanliness, and visual appeal, with hygiene issues remaining the core negative concern.
Academically, this study expands the literature on sharing accommodation by bridging spatial, emotional, and temporal perspectives, offering a multidimensional understanding of rural and coastal Airbnb experiences. It further demonstrates how sentiment-based text analytics can serve as an empirical tool for linking tourism behavior with regional sustainability.
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Collections - College of Business Administration > Department of Management Information Systems > Journal Articles
- 농업생명과학대학 > 식품자원경제학과 > Journal Articles
- 인문사회계열 > 농업경제학과 > Journal Articles
- 인문사회계열 > 경영정보학과 > Journal Articles

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