Earticle

초록

영어

This study aims to demonstrate the impact of the recent growth in K-POP on the increase in the number of international tourists visiting South Korea. Consequently, not only Seoul but also regional areas such as Busan, Jeonju, and Gwangju have witnessed a rise in foreign visitor numbers. To substantiate the influence of K-POP on tourism in Korea and its regions, this study leverages the K-Prototype algorithm, a clustering analysis method known for its efficacy in handling mixed datasets. The dataset employed in this study is derived from the ‘2022 Foreign Tourist Survey’ conducted by the Korea Culture and Tourism Institute. The primary objective is to create clusters based on the behavior patterns and preferences of foreign tourists. Through this clustering process, distinct groups of foreign tourists originating from different countries can be defined, allowing for the identification of their common interests and preferences, particularly related to K-pop as a motivating factor for their tourism activities.

목차

Abstract
1. Introduction
2. Data
2.1. Data Preprocessing
3. Methods
3.1 Modeling
4. Result
5. Conclusion
Reference

저자

• 최엘리사 [ 한양대학교 경영대학 비즈니스인포매틱스학과 ]
• 조지윤 [ 한양대학교 경영대학 비즈니스인포매틱스학과 ]

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