Opportunities of big data applications to develop global marketing strategies: analyzing hotel guest online reviews

글로벌 마케팅 활성화를 위한 빅데이터 효용성 연구: 온라인 호텔 리뷰를 중심으로

초록

This study seeks to opportunities of big data applications to develop global marketing strategies in Korean hotel industry. Online review, as one of the most advantageous user-generated contents, offers new insights into hotel customer satisfaction in a global society by discriminating among hotels by classes, and foreign customer review ratio. This study collected 96,085 user-generated reviews on expedia.com for 383 hotels from the capital area of Korea. By employing 3 x 2 between-subject ANOVAs, this study found that hotels with higher class differ statistically in terms of their customer satisfaction rates on the hotel attributes (Room cleanness, Service & staff, Room comfort, and Hotel condition). This study also found that hotels with higher ratio of the hotels’ foreign language review to the hotels’ Korean language review differ statistically in terms of their customer satisfaction rates on the hotel attribute of Service & staff; yet no difference found on other attributes.

키워드

Big data; Online hotel review; Customer satisfaction; Hotel class; Foreign language review; 빅데이터; 온라인 호텔 리뷰; 고객만족; 호텔 등급; 외국어리뷰
제목
Opportunities of big data applications to develop global marketing strategies: analyzing hotel guest online reviews
제목 (타언어)
글로벌 마케팅 활성화를 위한 빅데이터 효용성 연구: 온라인 호텔 리뷰를 중심으로
저자
한주형; 정남호
발행일
2017-07
유형
Y
저널명
관광레저연구
권
29
호
7
페이지
233 ~ 252