Earticle

초록

영어

Online data mining in big data is increasingly utilized across various industries, including tourism, food evaluation, hotels, and various app software. Customers’ online reviews significantly impact these sectors, influencing other customers’ perceptions and thereby affecting industry development. In the hotel industry, online reviews are particularly influential due to the intangible nature of hotel services, making it difficult for customers to assess quality before use. This paper examines online reviews of hotels in Jeju Island to identify the external factors that influence customer choice attributes. Using word frequency analysis in big data mining, the study reveals that room quality is the most critical factor in customer selection, aligning with traditional industry trends. Moreover, the "catering services" provided by hotels significantly influence customer choices. This study highlights that, for island hotels, customers place a greater emphasis on tangible services in their selection attributes.

목차

ABSTRACT
1. Introduction
2. Literature Review
2.1 Online Data Mining in Hospitality Research
2.2 Online Hotel Review and Consumer Decision-Making
3. Methodology
3.1 Data Collection
3.2 Data Analysis
4. Results
4.1 Data Pre-Processing
4.2 Semantic Network Analysis
4.3 Quantitative Analysis
5. Discussion
6. Conclusions
6.1 Implications
6.2. Limitations & Future Directions
REFERENCES

키워드

저자

• Jun Yu [ Assistant Professor, School of Tourism Management, Huangshan University ]
• Jue Wang [ Assistant Professor, School of Global Studies, Kyungsung University ]
• Lei Zhao [ Associate Professor, School of Tourism Management, Huangshan University ]
• Hak-Seon Kim [ Professor, School of Hospitality & Tourism Management, Kyungsung University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  산업혁신연구 [The Journal of Industrial Innovation]

• 간기

  계간

• pISSN

  2005-2936

• eISSN

  2800-0080

• 수록기간

  1985~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658