지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국조리학회 Culinary Science & Hospitality Research Culinary Science & Hospitality Research Vol.27 No.9(Wn.134)
- 발행연도
- 2021.9
- 수록면
- 1 - 10 (10page)
이용수
초록· 키워드
오류제보하기
The objective of this study is to procure the understanding and awareness among customers of Gamjatang restaurants in Busan area through big data analytics of online customer reviews. Reviews used in this study were collected from Google travel by SCTM 3 with keywords "Gamjatang restaurants". Time span of data was from January 1st, 2019 to June 1st, 2021. As results, 5,414 reviews from 105 restaurants were collected and 70 top frequent words like "Gamja", "Taste", "Service", etc. were extracted to process semantic network analysis. For understanding the semantic network of top frequency words，Ucinet 6.0 was applied and centrality coefficient of these words were calculated to illustrate the connection and significance of these words. Furthermore, CONCOR analysis for clustering was conducted and four segmentations, "Food", "Location", "Internal Environment" and "Service" were obtained. Collectively, relative implications for the industry and future research could be well provided and discussed.
목차
ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. METHODOLOGY
4. RESULTS
5. CONCLUSIONS
REFERENCES
참고문헌 (38)
참고문헌 신청
Aralbayeva, S., Tao, S., & Kim, H. S. (2018). A study of comparison between restaurnt industries in Seoul and Busan through big data analytics. Culinary Science & Hospitality Research, 24(7), 109-118.
Ban, H. J., & Kim, H. S. (2019). Semantic network analysis of hotel package through the big data. Culinary Science & Hospitality Research, 25(2), 110-119.
Bilgihan, A., Seo, S., & Choi, J. (2018). Identifying restaurant satisfiers and dissatisfiers: Suggestions from online reviews. Journal of Hospitality Marketing & Management, 27(5), 601- 625.
Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 1165-1188.
Chun, C. J., & Park, H. W. (2010). Textual analysis of a political message: The inaugural addresses of two Korean presidents. Social Science Information, 49(2), 215-239.
Ban, H. J., & Kim, H. S. (2019). Semantic network analysis of hotel package through the big data. Culinary Science & Hospitality Research, 25(2), 110-119.
Bilgihan, A., Seo, S., & Choi, J. (2018). Identifying restaurant satisfiers and dissatisfiers: Suggestions from online reviews. Journal of Hospitality Marketing & Management, 27(5), 601- 625.
Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 1165-1188.
Chun, C. J., & Park, H. W. (2010). Textual analysis of a political message: The inaugural addresses of two Korean presidents. Social Science Information, 49(2), 215-239.
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