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Communication &Intelligent Networks

A Study on the Type of Frequent Customers of Fruit Cafes and the Type of Visiting Purpose through Social Big Data Analysis

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.17 No.4 (2025.11)바로가기
  • 페이지
    pp.285-296
  • 저자
    Eunhee Shim, Gi-Hwan Ryu, Jonghyun Park
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A486487

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원문정보

초록

영어
The purpose of this study is to analyze and systematically classify the types of regular customers and the purpose of visiting fruit cafes through social big data analysis using Textom. As competition in the café market intensifies, the importance of customer retention strategies is increasing, and customers' visit experiences and opinions expressed on social media are becoming important marketing resources. In this study, 15,247 posts containing keywords such as 'fruit café', 'regular', and 'visit' were collected on SNS from January 2024 to December 2024 and text mining and semantic network analysis were performed. As a result of the analysis, regular customers of the fruit café were categorized into five types: 'health-seeking', 'atmosphere-oriented', 'workspace-oriented', 'communication-oriented', and 'taste exploration', and the purpose of visiting was categorized as 'maintaining healthy eating habits', 'escaping and healing from everyday life', 'utilizing work and study space', 'social interaction', and 'experiencing new tastes'. This study provides practical implications for establishing café marketing strategies and improving services by understanding café customers' needs and behavior patterns in depth through social big data analysis.

목차

Abstract
1. Introduction
2. a theoretical background
2.1 Theoretical Background
2.2 Related Theory
3. Research objectives. Objectives. Tools. Methods
3.1 Purpose of the study
3.2 Subject of study
3.3 Research Methods
4. Analysis of results
4.1 Descriptive statistics of collected social big data
4.2 Presenting the results of text mining analysis using Textom
4.3 Results of classification of customer types and characteristics of each type
4.4 The results of the categorization of the purpose of the visit and the characteristics of each purpose
4.5 Relationship between customer type and purpose of visit
5. Conclusion
5.1 Summary and discussion of research results
5.2 Theoretical Implications
5.3 Practical Implications
5.4 Symbolic Implications
5.5 Limitations of Research and Future Research Directions
5.6 Conclusion Summary
References

키워드

Big data analysis café franchise. Regular customers Typology Meaning Network Analysis

저자

  • Eunhee Shim [ Master D. student, Department of Tourism and Food industry, Graduate School of Smart Convergence, Kwangwoon University, Seoul, Korea ]
  • Gi-Hwan Ryu [ Professor, Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University, Seoul, Korea ]
  • Jonghyun Park [ Professor, Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University, Seoul, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

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