[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.14400/JDC.2020.18.8.001

A Text Mining Analysis of Attributes for Satisfaction and Effect of Consumer Ratings to Korea and China Duty Free Stores - Focusing on Chinese Tourists -

Yang, DaSom (Department of Business Administration, Sung Kyun Kwan University)
Kim, Jong Uk (School of Business Administration, Sung Kyun Kwan University)

Publication Information

Journal of Digital Convergence / v.18, no.8, 2020 , pp. 1-9 More about this Journal

Abstract

This study aims to find new attributes by analyzing Korea and China duty free store online reviews and examine the influence of these attributes on star ratings(satisfaction)of duty free store. For study, we used Dazhong Dianping that largest online review site in China. Using R, we analyzed 5,659 reviews of Korea duty free store and 4,051 reviews of China duty free store. According to the analysis, Sale, Food and Membership attributes had a positive effect on star rating of Korea duty free store. Sale, Product, Airport, Food and Membership had a positive effect on star rating of China duty free store. This study has identified new factors such as food that showed the importance of providing space of restaurants while shopping at duty free store. This study has contributed to the existing literature by finding new attribute such as food. Practically, this finding will help to duty free industry workers better understand the impact of providing space of restaurants on duty free store.

Keywords

Text mining; Duty free Store; Online Review; Chinese Tourist; Latent Dirichlet Allocation(LDA);

Citations & Related Records

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