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해양관광자원의 검색어 지수와 노출량 간의 관계 -여수해양관광을 중심으로-

The Relationship between Search Word Index and Exposure Vlume for Marine Tourism Resources -Focused on Yeosu Marine Tourism Resources-

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키워드

주제분류학제간연구

초록

To understand the influence relationship between online tourism search words and exposure volume of marine tourism, in this study, five marine tourism experts were formed, and they derived 10 items of search words for Yeosu marine tourism resources using Strategy Canvas analysis and ERRC action framework method. This study used Naver Datalab(datalab.naver.com) for the search word index and used Keyword Manager 2.0 for the exposure volume of search words. The collection period was set for one month from October 4(Friday) to November 3(Sunday), 2019, to secure mutual unity. A simple regression analysis was performed using SPSS 21.0 to analyze the relationship between the search word index and the search word exposure volume. To look at the results, for one month, the search words were high on weekends(Friday and Saturday), reflecting the characteristics of the trip destination on Friday and Saturday, and the exposure volume on the PC was highest in Yeosu trip, and that of Dolsan Bridge was the lowest. On the Mobile, Odongdo was found to be the highest and Dolsan Bridge was the lowest. The hypothesis was adopted because the effect of the search word index on the exposure was found to be statistically significant, and therefore, the index of the search words and the exposure volume of the search words were found to be correlated and mutually influenced. On the basis of this, this study suggested a promotion strategy of marine tourism city.

Abstract

To understand the influence relationship between online tourism search words and exposure volume of marine tourism, in this study, five marine tourism experts were formed, and they derived 10 items of search words for Yeosu marine tourism resources using Strategy Canvas analysis and ERRC action framework method. This study used Naver Datalab(datalab.naver.com) for the search word index and used Keyword Manager 2.0 for the exposure volume of search words. The collection period was set for one month from October 4(Friday) to November 3(Sunday), 2019, to secure mutual unity. A simple regression analysis was performed using SPSS 21.0 to analyze the relationship between the search word index and the search word exposure volume. To look at the results, for one month, the search words were high on weekends(Friday and Saturday), reflecting the characteristics of the trip destination on Friday and Saturday, and the exposure volume on the PC was highest in Yeosu trip, and that of Dolsan Bridge was the lowest. On the Mobile, Odongdo was found to be the highest and Dolsan Bridge was the lowest. The hypothesis was adopted because the effect of the search word index on the exposure was found to be statistically significant, and therefore, the index of the search words and the exposure volume of the search words were found to be correlated and mutually influenced. On the basis of this, this study suggested a promotion strategy of marine tourism city.

참고문헌 (14)

  1. 강봉조, "기상과 제주지역 관광지 입장객 수 및 모바일 관광정보 검색량 간의 관계 분석", MICE관광연구, 18(2), pp.77~97 (2018), 한국마이스관광학회[DOI]
  2. 박정민, "범죄 발생 빈도수와 웹 검색 빈도수의 관계 분석 연구", 한국융합학회논문지, 9(5), pp.15~20 (2018), 한국융합학회[DOI]
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  4. 성흥기, "검색빈도를 활용한 관광지의 관광객 수 예측에 관한 연구", 한국ITS학회 학술대회 발표집, pp.849~854 (2018)
  5. 정구점, "해양관광자원의 관광수용태세에 관한 연구 -관광동기와 만족을 중심으로-", 고객만족경영연구, 11(1), pp.15~28 (2009), 한국고객만족경영학회
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  7. 최재혁, "빅데이터를 활용한 휴양림 이용객현황과 인터넷 검색어의 상관관계분석", 한국산림휴양학회지, 19(4), pp.13~23 (2015), 한국산림휴양복지학회[DOI]
  8. 최홍열, "소셜 미디어 빅데이터 분석을 이용한 나홀로 여행 트렌드 분석: 제주도를 중심으로", 관광경영연구, 23(1), pp.45~64 (2019), 관광경영학회[DOI]
  9. 목포타임즈, "여수시 브랜드 선호도, 전국 75개 지자체 중 ‘5위’", ~ (2017)
  10. "스타태그"[URL]
  11. "키워드메니저 2.0", ~ (2019)

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