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A Comparative Study of Business Hotels in Busan and Seoul through Big Data Analysis - Evaluating Online Customer Review -

첫 페이지 보기
  • 발행기관
    경성대학교 산업개발연구소 바로가기
  • 간행물
    산업혁신연구 KCI 등재 바로가기
  • 통권
    제40권 제3호 (2024.09)바로가기
  • 페이지
    pp.340-354
  • 저자
    Sonam Sherpa, Kim Seieun, Huh In-Young, Jue Wang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A454980

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원문정보

초록

영어
This research aims to investigate factors influencing customer satisfaction in business hotels across two major South Korean cities, Busan and Seoul, using a combination of frequency analysis, t-distributed Stochastic Neighbor Embedding (t-SNE) clustering, exploratory factor analysis, and linear regression. Analyzing 60 frequently mentioned words from customer reviews, key differences between the two cities were identified. In Busan, words such as “station,” “beach,” and “view” were prominent, indicating a preference for sightseeing and beach-related activities. Conversely, in Seoul, terms like “airport” and “business” were more frequent, suggesting a stronger focus on business travel. t-SNE clustering revealed four significant clusters for each city: Room, Location, Tour, and Service for Busan, and Accommodation, Proximity, Shopping, and Value for Seoul. Exploratory factor analysis identified four key factors: Experience, Proximity, Scenery, and Room for Busan, and Location, Mobility, Room, and Experience for Seoul. Linear regression analysis showed that Experience and Proximity positively influenced customer satisfaction in both cities, while Room quality had a negative impact. The findings underscore the importance of improving room conditions and service quality to enhance overall customer experience. These insights provide valuable guidance for hotel management to tailor their strategies according to the distinct needs of customers in Busan and Seoul.

목차

Ⅰ. Introduction
Ⅱ. Literature Review
2.1 Business Hotel
2.2 Electronic Word of Mouth (eWOM)
2.3 Customer Satisfaction
Ⅲ. Methodology
3.1 Data Collection
3.2 Data Analysis
Ⅳ. Results
4.1 Frequency Analysis
4.2 t-SNE Clustering
4.3 Factor Analysis
4.4 Linear Regression Analysis
Ⅴ. Discussion and Implications
5.1 Discussion
5.2 Theoretical Implications
5.3 Managerial Implications
Ⅵ. Limitations and Future Research
References

키워드

business hotel big data analytics Busan Seoul customer satisfaction

저자

  • Sonam Sherpa [ Graduate Student, Department of Global Business, Kyungsung University ]
  • Kim Seieun [ Lecturer, Department of Global Hospitality Management, Kyungsung University ]
  • Huh In-Young [ Graduate Student, Department of Global Business, Kyungsung University ]
  • Jue Wang [ Ph.D. Assistant Professor, School of Global Studies, Kyungsung University ] Corresponding author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    경성대학교 산업개발연구소 [INDUSTRIAL DEVELOPMENT INSTITUTE KYUNGSUNG UNIVERSITY]
  • 설립연도
    1985
  • 분야
    사회과학>지역개발
  • 소개
    연구소는 경영및 경제 전반에 관한 이론과 실무의 연구개발을 통하여 산학협동을 기하고 이를 토대로 국민경제의 발전에 기여함을 목적으로 한다

간행물

  • 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

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