Awareness and Resolution of Touristification in Korea Using Social Media Big Data Analytics

• 발행기관: People & Global Business Association
• 저자명: Yoonhee Cho
• 간행물 정보: 『Global Business and Finance Review』Vol.26 No.1, 68~78쪽, 전체 11쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2021.03.30

영문 초록

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.

목차

Ⅰ. Introduction

Ⅱ. Materials and Methods

Ⅲ. Results

Ⅳ. Discussion and Conclusion

Ⅴ. Limitations and Future Studies

B

키워드

Touristification Social Media Big Data Social Network Analysis Semantic Network Analysis Overtourism