메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Hao Duo (서울대학교) Shanshan Li (서울대학교) 김기한 (서울대학교)
저널정보
상명대학교 글로벌문화예술교육연구소 Research in Dance and Physical Activity Research in Dance and Physical Activity Vol.5 No.3
발행연도
2021.12
수록면
67 - 93 (27page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
The purpose of this study is to explore the factors that may affect the audience demand for broadcast tennis matches of China Open. The data were gathered from a total of 102 matches -- the televised tennis matches of China Open from 2015 to 2019. Four dependent variables (TV ratings) representing audience demand for broadcast tennis matches, surveyed nationwide, tier1 cities, tier2 cities and tier3 cities, were regressed on a series of antecedent factors associated with each match. The means of television ratings in higher tiers cities are significantly higher than that in lower tiers cities. Higher television ratings nationwide and in tier2, tier3 cities were associated with the presence of local player. And higher television ratings in tier1 cities were associated with higher facial attractiveness of players. In addition, matches with the presence of super star showed positive effects on television ratings nationwide and in tier1, tier2 cities. And higher TV ratings were related with the match with the greater importance. The broadcast channel seems to be the most powerful predictor of TV ratings. Other than the broadcast channel, prime time matches also appeared to have a positive effect on the TV ratings significantly. Through the comparison of the factors influencing the ratings of cities at different levels, this study found that these differences are mainly concentrated in the first category of factors: the form of consumer preferences. These findings can provide a reference for the organizers of the China Tennis Open for the sale of media broadcasting rights.

목차

등록된 정보가 없습니다.

참고문헌 (38)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

최근 본 자료

전체보기

댓글(0)

0