A comparative study on the perception of integrated resort in Korea before and after COVID-19 using social big data

Jang Heon Han () and Kab Soo An ()

Edelweiss Applied Science and Technology, 2024, vol. 8, issue 6, 1538-1553

Abstract: The study was conducted to compare and analyze perceptions of integrated resorts before and after the outbreak of COVID-19 and to explore ways to revitalize the operation of integrated resorts that can be utilized in the post-Corona era. Keywords highly related to integrated resorts were collected from major social media and SNS channels in Korea, such as Naver, Daum, and Google. Unstructured big data analysis research was conducted using social network analysis and semantic network analysis, which are major methodologies for social big data. The keyword data collection period was divided into the time before and after the outbreak of COVID-19. A total of 7,933 keywords were collected before the outbreak, and 7,395 were collected during the period after the outbreak. The study included a total of 100 keywords, with 50 from each period. The research results showed that, first, before the outbreak of COVID-19, the keywords ‘Casino’, ‘Yeongjong-do’, ‘Hotel’, ‘Dream Tower’, ‘Incheon’, ‘Development’, ‘Domestic’, and ‘Business’ appeared with high frequency. After the outbreak, the keywords ‘Jeju’, ‘Resort’, ‘Dream Tower’, ‘Hotel’, ‘Inspire’, and ‘Business’ showed high frequencies of appearance. Second, CONCOR analysis confirmed the presence of seven keyword clusters before and after the outbreak of COVID-19. Based on the results of this study, various implications for integrated resorts that can be utilized in the post-Corona era suggested, along with future directions for integrated resort research.

Keywords: COVID-19; Integrated resort; Semantic network analysis; Social media big data; Social network analysis. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/2271/888 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ajp:edwast:v:8:y:2024:i:6:p:1538-1553:id:2271

Access Statistics for this article

More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().