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논문검색

Analyzing Chinese Tourists’ Experiences in Seoul and Tokyo: A Mixed Methodology of Text Mining and Interviews

원문정보

초록

영어

The study of tourism experiences has gained significant attention for its potential to drive tourism prosperity. This interest is particularly relevant in the context of Chinese tourists, who accounted for a significant share of global tourism spending before the COVID-19 pandemic nearly one-fifth. As the world gradually recovers from the effects of the pandemic, the rebound in the tourism sector must be effectively capitalized on, and destinations must actively improve their services to attract more tourists seeking enriching experiences. This study utilizes a comprehensive mixed-methods approach combining text mining and interviews to explore the success factors that contribute to Chinese tourists’ overall tourism experience during their trip to South Korea and Japan. The study specifically targets new Chinese tourists and identifies their changing preferences and expectations. To provide a deeper understanding of the findings, the study utilizes a tourism experience conceptual model to systematically analyze the key tourism experience elements, covering both positive and negative factors, encountered by Chinese tourists in Seoul and Tokyo. Based on these insights, the study aims to provide city-specific practical recommendations to help local tourism industry stakeholders enhance their services and provide visitors with a more rewarding experience. By examining the specific tourism experiences of Chinese travelers, this study not only contributes to the existing literature but also provides actionable insights that can be applied to a variety of destinations to guide their continued growth and improvement.

목차

A B S T R A C T
Ⅰ. Introduction
Ⅱ. Conceptual Background
2.1. Tourism Experience Conceptual Model
2.2. Previous Research on Tourism Experience
Ⅲ. Methodology
3.1. Research Procedure
3.2. Data Collection and Analysis
3.3. Text Mining Analysis
3.4. Interview Analysis
Ⅳ. Results
4.1. LDA Topic Modeling and Results
4.2. Interview Results
Ⅴ. Discussion and Implications
5.1. Discussion of Findings
5.2. Recommendations for Seoul and Tokyo
5.3. Limitations and Future Research
5.4. Implications for Research and Practice

저자정보

  • Xiaowen Feng Data Analyst, JD.Com China, Beijing, China
  • Seongbeom Kim PhD Candidate, Graduate School of Information, Yonsei University, Korea
  • Zhiyi Chen Master's Student, Graduate School of Information, Yonsei University, Korea
  • Hee-Woong Kim Professor, Graduate School of Information, Yonsei University, Korea

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