@inproceedings{abec34dfed9347939718109c50d2ade9,
title = "A Cluster Analysis of Lotte Young Plaza Using Semantic Network Analysis Method",
abstract = "The COVID-19 pandemic has had a significant impact on tourism-driven industries worldwide. As East Asia is gaining control in the fight against the coronavirus, countries in this region started easing their travel restrictions. Tourist-oriented retail stores are slowly preparing to receive international visitors again, and to be well adjusted, it is crucial to understand foreign customers' perceptions. From the seven most popular tourism platforms in China, we collected comments about Lotte Young Plaza in South Korea and applied semantic network analysis to understand its perception among young Chinese customers. Based on this analysis, we divided the conclusions into 6 aspects: People whose main purpose is to buy clothes, people who have communication needs in Chinese, the Lotte Department Store's driving force on customer flow to Lotte Young Plaza, young people, features of Lotte Young Plaza (mouthwash) and cosmetics.",
keywords = "Clustering analysis, Comment, Consumer experience, Enterprise, Lotte, Semantic network analysis",
author = "Che, \{Shao Peng\} and Dongyan Nan and Pim Kamphuis and Xinvu Jin and Kim, \{Jang Hyun\}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021 ; Conference date: 04-01-2021 Through 06-01-2021",
year = "2021",
month = jan,
day = "4",
doi = "10.1109/IMCOM51814.2021.9377390",
language = "English",
series = "Proceedings of the 2021 15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Sukhan Lee and Hyunseung Choo and Roslan Ismail",
booktitle = "Proceedings of the 2021 15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021",
}