International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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A Study on User Perception of Tourism Platform Using Big Data

  • Se-won Jeon (Department of Immersive Content Convergence, Graduate School, Kwangwoon University) ;
  • Sung-Woo Park (Department of Immersive Content Convergence, Graduate School, Kwangwoon University) ;
  • Youn Ju Ahn (Department of Public Adminstration, Graduate School, Kwangwoon University) ;
  • Gi-Hwan Ryu (Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University)
  • Received : 2024.01.25
  • Accepted : 2024.02.08
  • Published : 2024.03.31
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Abstract

The purpose of this study is to analyze user perceptions of tourism platforms through big data. Data were collected from Naver, Daum, and Google as big data analysis channels. Using semantic network analysis with the keyword 'tourism platform,' a total of 29,265 words were collected. The collection period was set for two years, from August 31, 2021, to August 31, 2023. Keywords were analyzed for connected networks using TexTom and Ucinet programs for social network analysis. Keywords perceived by tourism platform users include 'travel,' 'diverse,' 'online,' 'service,' 'tourists,' 'reservation,' 'provision,' and 'region.' CONCOR analysis revealed four groups: 'platform information,' 'tourism information and products,' 'activation strategies for tourism platforms,' and 'tourism destination market.' This study aims to expand and activate services that meet the needs and preferences of users in the tourism field, as well as platforms tailored to the changing market, based on user perception, current status, and trend data on tourism platforms.

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