Earticle

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

키워드

저자

• 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 ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Asia Pacific Journal of Information Systems

• 간기

  계간

• pISSN

  2288-5404

• eISSN

  2288-6818

• 수록기간

  1990~2026

• 등재여부

  KCI 등재,SCOPUS

• 십진분류

  KDC 325 DDC 658