빅데이터를 활용한 무인카페 소비자 인식에 관한 연구

• 영문명: A Study on the User Experience at Unmanned Cafe Using Big Data Analsis: Focus on text mining and semantic network analysis
• 발행기관: 강원대학교 경영경제연구소
• 저자명: 이승엽 박병현 남장현
• 간행물 정보: 『아태비즈니스연구』제14권 제3호, 241~250쪽, 전체 10쪽
• 주제분류: 인문학 > 문학
• 파일형태: PDF
• 발행일자: 2023.09.30

영문 초록

Purpose - The purpose of this study was to investigate the perception of 'unmanned cafes' on the network through big data analysis, and to identify the latest trends in rapidly changing consumer perception. Based on this, I would like to suggest that it can be used as basic data for the revitalization of unmanned cafes and differentiated marketing strategies. Design/methodology/approach - This study collected documents containing unmanned cafe keywords for about three years, and the data collected using text mining techniques were analyzed using methods such as keyword frequency analysis, centrality analysis, and keyword network analysis. Findings - First, the top 10 words with a high frequency of appearance were identified in the order of unmanned cafes, unmanned cafes, start-up, operation, coffee, time, coffee machine, franchise, and robot cafes. Second, visualization of the semantic network confirmed that the key keyword “unmanned cafe” was at the center of the keyword cluster. Research implications or Originality - Using big data to collect and analyze keywords with high web visibility, we tried to identify new issues or trends in unmanned cafe recognition, which consists of keywords related to start-ups, mainly deals with topics related to start-ups when unmanned cafes are mentioned on the network.

목차

Ⅰ. 서론

Ⅱ. 이론적 배경

Ⅲ. 연구의 설계

Ⅳ. 연구 결과

Ⅴ. 결론

References

키워드

Big Data Semantic Network Analysis Text Mining Unmanned Cafe