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A Study on the Consumer Perception of Oriental Medicine Using Big Data

첫 페이지 보기
  • 발행기관
    국제문화기술진흥원 바로가기
  • 간행물
    International Journal of Advanced Culture Technology(IJACT) KCI 등재 바로가기
  • 통권
    Volume 13 Number 3 (2025.09)바로가기
  • 페이지
    pp.153-162
  • 저자
    JINHO LEE, Gi-Hwan Ryu
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A473978

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원문정보

초록

영어
After COVID-19, the medical service industry selected a clinic through online reviews, that is, reviews that appeared on social media, and the younger generation who used smartphones and the new silver generation who are accustomed to smartphones choose a clinic based on reviews and evaluations from nearby clinics to receive medical services. For this study, Korean medical clinic is selected as the central word and big data words are collected. In other words, the collection period is a total of three years from January 2022 to December 2024 Korean medical clinic was ranked first, and the frequency was 12177, the largest central word. In addition, in terms of the proportion of each topic, Topic 8 was the largest area, confirming that the subject occupies a major proportion within this corpus. This suggests that Topic 8 forms an independent subject area that is distinct from other topics. In the Concor analysis, Therefore, it appeared as three clusters, but when the words were confirmed, it was analyzed in this study as a total of three clusters, and the first cluster was named oriental medicine recognition, the second cluster was named patient disease, and the third cluster was named oriental medicine treatment. In this way, the perception of oriental medicine clinics was confirmed, and it was confirmed that patients' perception of oriental medicine clinics changed for the purpose of treating diseases such as diet and hair loss in traffic accidents. However, it is analyzed that this cannot be competitive because patients can choose oriental medicine clinics or Western medicine clinics according to their propensity.

목차

Abstract
1. INTRODUCTION
2. RESEARCH METHODS
3. DISCUSSION
4. CONCLUSION
REFERENCES

키워드

Big Data Social Media Oriental Medicine Clinic Consumer Awareness Cluster Analysis

저자

  • JINHO LEE [ Ph. D. Student, Department of Immersive Content Convergence, Graduate School, KwangWoon University, Seoul, Korea ]
  • Gi-Hwan Ryu [ 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
    국제문화기술진흥원 [The International Promotion Agency of Culture Technology]
  • 설립연도
    2009
  • 분야
    공학>공학일반
  • 소개
    본 진흥원은 문화기술(Culture Technology) 관련 산·학·연·관으로 구성된 비영리 단체이다. 문화기술(CT)은 정보통신기술(ICT), 문화적 사고 기반의 예술, 인문학, 디자인, 사회과학기술이 접목된 신융합기술(New Convergence Technology, NCT)로 정의한다. 인간의 삶의 질을 향상시키고, 진보된 방향으로 변화시키고, 문화기술 관련 분야의 학술 및 기술의 발전과 진흥에 공헌하기 위하여, 제3조의 필요한 사업을 행함을 그 목적으로 한다.

간행물

  • 간행물명
    International Journal of Advanced Culture Technology(IJACT)
  • 간기
    계간
  • pISSN
    2288-7202
  • eISSN
    2288-7318
  • 수록기간
    2013~2025
  • 등재여부
    KCI 등재
  • 십진분류
    KDC 600 DDC 700

이 권호 내 다른 논문 / International Journal of Advanced Culture Technology(IJACT) Volume 13 Number 3

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