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http://dx.doi.org/10.6109/jkiice.2021.25.1.152

Analysis of Factors Affecting Satisfaction of Korean Cosmetics by Chinese Consumers Using Statistical Analysis Techniques  

Qiu, Yajun (Department of Business Management, Woosong University)
Han, Kai (Department of Business Management, Woosong University)
Jung, Hoekyung (Department of Computer Engineering, Paichai University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.1, 2021 , pp. 152-159 More about this Journal
Abstract
In the Chinese market, the market share of Korean cosmetics is rapidly increasing and its position in the global market is gradually becoming stable. The reasons why Chinese consumers are enthusiastic about Korean cosmetics are as follows. First of all, Korean cosmetics are suitable for Asian Chinese consumers. Second, the star effect of Korean cosmetics has shown an undoubted effect, making Korean cosmetics rapidly developing and rapidly occupying the Chinese market. Chinese consumers' satisfaction with Korean cosmetics directly affects the Korean cosmetics market. Therefore, the research subject of this study is set to Chinese consumers and focuses on factors that affect Chinese consumers' satisfaction with Korean cosmetics. The "Chinese Consumer Satisfaction with Korean Cosmetics" model is established to find the relevant influencing factors and simulate the hypothesis to analyze and propose the factors that actually affect the satisfaction of Chinese consumers with Korean cosmetics.
Keywords
China; Consumers; Cosmetics; Satisfaction; Statistics;
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  • Reference
1 K. S. Ham and S. Y. Lee, "A study on the changes of the trade environment of the chinese market and the Korean enterprises' strategies of export to China," 2015 ICBE, pp. 401-403, Jul. 2015.
2 J. Wang, "Korean cosmetics market," Science of Household Chemicals, vol. 3, pp. 33-36, 2020.
3 T. Zhu, "Analysis on the present situation of Korean cosmetics export to China," Modern Economic Information, vol. 10, pp.190, 2015.
4 I. Azjen, "Understanding Attitudes and Predicting Social Behavior," Englewood Cliffs, 1980.
5 F. D. Davis, "A technology acceptance model for empirically testing new end user information systems: theory and results," Doctoral dissertation, Massachusetts Institute of Technology, 1986.
6 W. Zhang, "Advanced course of SPSS statistical analysis," Higher Education Press, 2017.
7 C. O. Jung, I. Y. Yeo, and H. K. Jung, "Classification Model of facial acne using deep learning," Journal of the Korea Institute of Information and Communication Engineering, vol. 23, no. 4, pp. 381-387, Apr. 2019.   DOI
8 D. Y. Hwang, J. S. Bang, and H. K. Jung, "Procuct recommendation system based on user purchase priority," Journal of information and communication convergence engineering, vol. 18, no. 1, pp. 55-60, Mar. 2020.   DOI