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Restaurant Industry Trends and Consumer Dining Behavior : Implications for Global Marketing Strategies

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.17-22
  • 저자
    Suk-Joon, Jung
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A486459

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원문정보

초록

영어
This study aims to analyze the key trends in the global restaurant industry and the changes in consumer dining behavior, providing implications for effective global marketing strategies. In recent years, the foodservice industry has undergone structural transformations driven by factors such as health consciousness, sustainability, and digital transition, while the COVID-19 pandemic has accelerated the adoption of contactless services and digital platforms. Using big data sources including online reviews, news articles, and social media posts, this study applies text mining techniques to identify major themes and patterns. The results indicate that consumer values have shifted from price and quality to a focus on health, convenience, experience, and sustainability. Furthermore, differences in preferences and value orientations across countries and brands highlight the importance of balancing localization and standardization in global brand strategies. This research complements the limitations of traditional survey-based studies by providing empirical evidence of changes in industry trends and consumer perceptions through big data analysis. We expect to impact the field by offering strategic insights into how global restaurant businesses can achieve sustainable competitiveness in a rapidly evolving market.

목차

Abstract
1. Introduction
2. Literature Review
3. Research Design
3.1. Research Model and Procedure
3.2. Data Collection Methods
3.3. Data Analysis Tools and Techniques
4. Results & Discussion
4.1. Text Mining Analysis Results and In-depth Analysis
4.2. Country/Brand Comparison and Global Marketing Implications
5. Conclusion
References

키워드

Global Marketing Restaurant Industry Big Data Consumer Dining Behavior Text Mining

저자

  • Suk-Joon, Jung [ Professor, Department of Food Service Industry, Baekseok University, 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

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.17 No.4

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