Artikel
Awareness and resolution of touristification in Korea using social media big data analytics
Purpose: This study aimed to evaluate the resolution of touristification and the SNS user's perception of the phenomenon through analysis of social big data. Design/methodology/approach: Data were collected from a "café" and a blog on social media platforms (Naver, Daum) that were collected as analysis channels. It was analyzed using social network analysis and semantic network analysis. Findings: Sixty of the 986 entries were selected using the keyword "touristification" for social media big data research. First, various keywords recognized by tourists, such as "tourist destination", "citizen", "gentrification", "phenomenon", "Bukchon", were extracted. Second, convergence of iteration correlation (CONCOR) analysis distinguished five groups. Research limitations/implications: The study assessed the implications of touristification's resolution. This study used social big data before Covid-19, and there was a limit to sample collection. Originality/value: Existing studies related to touristification were conducted mainly on qualitative and empirical research, but this study expanded the research methodology to big data research that combines social network analysis and semantic network analysis.
- Language
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Englisch
- Bibliographic citation
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Journal: Global Business & Finance Review (GBFR) ; ISSN: 2384-1648 ; Volume: 26 ; Year: 2021 ; Issue: 1 ; Pages: 68-78 ; Seoul: People & Global Business Association (P&GBA)
- Classification
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Management
- Subject
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Touristification
Social Media Big Data
Social Network Analysis
Semantic Network Analysis
Overtourism
- Event
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Geistige Schöpfung
- (who)
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Cho, Yoonhee
- Event
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Veröffentlichung
- (who)
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People & Global Business Association (P&GBA)
- (where)
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Seoul
- (when)
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2021
- DOI
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doi:10.17549/gbfr.2021.26.1.68
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Cho, Yoonhee
- People & Global Business Association (P&GBA)
Time of origin
- 2021
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