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한국복식학회(IJCF) 학술지영문홈페이지
[ Article ]
International Journal of Costume and Fashion - Vol. 21, No. 2, pp.80-90
ISSN: 2233-9051 (Print) 2288-7490 (Online)
Print publication date 31 Dec 2021
Received 07 Oct 2021 Revised 22 Dec 2021 Accepted 26 Dec 2021
DOI: https://doi.org/10.7233/ijcf.2021.21.2.080

Analysis of Home Furnishing Trends Caused by the COVID-19 Pandemic

Young-Seok Koo ; Chorong Youn†
Professor, Dept. of Clothing & Textiles, Pusan National University; Busan, Korea
Assistant Professor, Dept. of Clothing & Textiles, Pusan National University; Busan, Korea

Correspondence to: † chorong.youn@pusan.ac.kr

Citation Koo, Y-S., & Youn, C., (2021). Analysis of home furnishing trends caused by the COVID-19 pandemic. International Journal of Costume and Fashion, 21(2), 80-90.

Abstract

The purpose of this study was to investigate consumer trends and perceptions of home furnishing in the COVID-19 pandemic using social media data and online news and provide fundamental data to decision-makers for the development of home furnishing products. Text mining and network analysis were employed to extract meaningful words related to home furnishing and reveal the relationships among them. The text data were collected from blogs and online news searched by Naver and Daum with the keyword "home furnishing." The big data was analyzed using text mining, network, CONCOR, and sentiment analysis. The results revealed that keywords such as home furnishing brands, product items, retail brands, usages, and functions were mentioned with high frequency. In the results of TF-IDF, the ranking of home furnishing brands stood out. Moreover, the keywords were clustered into four groups: the impact of COVID-19 on the market, purchasing criteria, retailing, and product characteristics. Lastly, the sentiment analysis highly expressed positive emotions through words such as favorite, interest, and joy related to home furnishing. This study provides insights into the home furnishing industry by identifying the increasing trend of online shopping, leading brands and a new representative brand, and items of interest.

Keywords:

Home furnishing, COVID-19, Big data, Text mining

Acknowledgments

This work was supported by a 2-Year Research Grant of Pusan National University.

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