소셜 미디어 빅데이터 분석을 통한 호텔 로비라운지 인식 규명 및 운영 활성화 방안에 관한 연구 (A Study on the Operation Activation Plans of Hotel Lobby Lounge and Perception on Hotel Lobby Lounge by Analyzing Social Media Big Data)

서지정보

· 발행기관 : (사)한국관광레저학회
· 수록지 정보 : 관광레저연구 / 33권 / 1호 / 233 ~ 247페이지
· 저자명 : 조윤희

초록

The hotel's lobby lounge is an important place to offer the hotel's first impression to its guests. The hotel lobby lounge performs various functions such as rest, meals, and cafes, and its spatial role is gradually expanding. The purpose of this study to examine the operation activation plans of hotel lobby lounge and perception of hotel lobby lounge customer’s by unstructured big data analysis. This study used a Cafe, Blog by social media(Naver, Daum) that were gathered as analysis channels. The 3,221 words were collected as through social network analysis with a keyword of ‘hotel lobby lounge’ for unstructured big data research. The period was limited for 1 year from April 22, 2019 to April 21, 2020. The data was text mining by Krkwic for semantic network analysis, Ucinet was to draw the network between words linked to accompanying keyword. As a results, first, various keywords recognized by hotel customer’s such as ‘seoul’, ‘postscript’, ‘Sheraton’, ‘Yeongjongdo’, ‘auxiliary facilities’, ‘provided’, ‘composition’, ‘breakfast’, ‘fitness’, ‘room’, ‘service’ were extracted. Second, as the result of CONCOR analysis, finally 4 groups were grouped. The studies discussed the implication of hotel lobby lounge operation activation and promotion strategies.

영어초록

The hotel's lobby lounge is an important place to offer the hotel's first impression to its guests. The hotel lobby lounge performs various functions such as rest, meals, and cafes, and its spatial role is gradually expanding. The purpose of this study to examine the operation activation plans of hotel lobby lounge and perception of hotel lobby lounge customer’s by unstructured big data analysis. This study used a Cafe, Blog by social media(Naver, Daum) that were gathered as analysis channels. The 3,221 words were collected as through social network analysis with a keyword of ‘hotel lobby lounge’ for unstructured big data research. The period was limited for 1 year from April 22, 2019 to April 21, 2020. The data was text mining by Krkwic for semantic network analysis, Ucinet was to draw the network between words linked to accompanying keyword. As a results, first, various keywords recognized by hotel customer’s such as ‘seoul’, ‘postscript’, ‘Sheraton’, ‘Yeongjongdo’, ‘auxiliary facilities’, ‘provided’, ‘composition’, ‘breakfast’, ‘fitness’, ‘room’, ‘service’ were extracted. Second, as the result of CONCOR analysis, finally 4 groups were grouped. The studies discussed the implication of hotel lobby lounge operation activation and promotion strategies.

참고자료

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