STUDY OF TOURIST SATISFACTION AT BUSAN’S TEMPLES: A QUANTITATIVE TEXT MINING APPROACH

Authors

  • Varren Christian Lim Department of Global Business, Kyungsung University
  • Narariya Dita Handani School of Global Studies, Kyungsung University & Department of Management, Faculty of Economics and Business, Universitas Wijaya Kusuma Surabaya

DOI:

https://doi.org/10.33736/ijbs.8516.2024

Keywords:

Religious tourism, Temple, Busan, Tourist satisfaction, Big data

Abstract

This study leverages big data analytics to provide a comprehensive analysis of tourist satisfaction at temples in Busan through the examination of online reviews. Utilizing quantitative textual analysis, including frequency analysis, co-occurrence network analysis, and cluster analysis, the research identifies both positive and negative aspects of the temple tourist experience. While visitors frequently highlight the beauty, ambiance, and convenience of temple visits, challenges such as accessibility issues and admission pricing also emerge. This dual perspective offers a balanced view of the tourist experience. The study is notable for its application of advanced text mining tools to a significant dataset, setting it apart from previous research on temple tourism in Busan. The findings underscore the importance of maintaining the temples’ aesthetic appeal and accessibility while addressing tourists' concerns to enhance overall satisfaction. These insights are crucial for temple management and stakeholders in the religious tourism sector, providing a foundation for strategic improvements and a deeper understanding of visitor needs and expectations.

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Published

2024-12-26

How to Cite

Varren Christian Lim, & Narariya Dita Handani. (2024). STUDY OF TOURIST SATISFACTION AT BUSAN’S TEMPLES: A QUANTITATIVE TEXT MINING APPROACH. International Journal of Business and Society, 25(3), 930–946. https://doi.org/10.33736/ijbs.8516.2024