Earticle

초록

영어

The purpose of this study was to analyze consumer perceptions and consumption behaviors toward vegan foods according to food-related lifestyles using big data analysis. Unstructured text data were collected from social media and online platforms, and Textom and UCINET were used for analysis. The results showed that major keywords related to vegan foods included health, diet, environment, inner beauty, ethics, and trends. Semantic network analysis identified structural relationships among the keywords. Based on CONCOR analysis, four clusters were derived: attributes and functionality of vegan products, integrated lifestyle and value orientation, global market and industry trends, and product commercialization and emerging trends. This study is meaningful in that it structurally examines the perceptions of vegan food consumption using big data and provides basic data for developing marketing strategies in the health and beauty industries.

중국어

本研究旨在利用大数据分析,系统探究不同饮食生活方式下消费者对纯素食品的认知 与消费行为.为此,本研究针对从社交媒体及网络平台收集的非结构化文本数据开展文本挖 掘分析,分析工具采用Textom与UCINET.分析结果显示,与纯素食品相关的核心关键词包 括健康,减肥,环境,美容,伦理,潮流等;通过语义网络分析,明确了关键词之间的结构 关系.CONCOR分析结果表明,消费者对纯素食品的认知可划分为纯素产品属性与功能性, 综合生活方式及价值追求,全球市场与产业动向,产品商业化与最新潮流等四大集群.本研 究的意义在于通过大数据分析系统揭示了纯素食品消费认知结构,为健康,美容等相关产业 的营销策略制定提供了基础数据.

목차

Abstract
I. 서론
II. 이론적 배경
1. 빅데이터 및 텍스트 마이닝
2. 식생활 라이프스타일 및 비건식품 관련 선행연구
III. 연구 방법
1. 연구문제
2. 분석 대상 및 자료 수집
3. 데이터 처리 및 정제
4. 자료 분석 방법
IV. 결과 및 고찰
1. 식생활 라이프스타일 및 비건식품 관련 키워드 빈도분석
2. N-gram 분석 결과
3. 의미연결망 및 연결정도 중심성 분석
4. CONCOR 분석 결과
V. 결론
참고문헌
中文摘要

키워드

저자

• 박혜진 [ Hye-Jin Park | 창신대학교 식품영양학과 교수 ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  국제보건미용학회지 [Journal of Health and Beauty]

• 간기

  계간

• pISSN

  2005-369X

• eISSN

  2765-1347

• 수록기간

  2007~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 593 DDC 646