과제정보
이 논문은 2021학년도 영산대학교 교내연구비의 지원에의하여 이루어진것임
참고문헌
- Ahn, J. (2019, December 16). Instagram, the most followed hashtag in Korea this year is '#Gongstagram'. Global Economy Daily. Retrieved January 26, 2022, from www.getenews.co.kr
- Amekaji look. (2019). Dictionary of current affairs. Retrieved January 4, 2022 from https://terms.naver.com/entry.naver?docId=5764034&cid=43667&categoryId=43667
- Analysis module. (2017). Textom. Retrieved January 2, 2022, from https://textom.co.kr/home/bbs/view.php?id=notice&page_num=15&page=1&no=39
- Bae, J. (2020). 4차 산업혁명과 스마트 비즈니스 [4th industrial revolution and smart business]. Seoul: Parkyoungsa.
- Choi, Y., & Lee, K. (2021). Changes in consumer perception of one mile-wear and home wear: The impact of Covid-19 outbreak. Journal of Fashion Business, 25(2), 110-126. doi:10.12940/jfb.2021.25.2.110
- Data, data everywhere. (2010, February 27). The Economist, pp. 4-6.
- De Mauro, A., Greco, M., & Grimaldi, M. (2016). A formal definition of big data based on its essential features. Library Review, 65(3), 122-135. doi:10.1108/LR-06-2015-0061
- Dijcks, J. (2011). Oracle: Big data for the enterprise. Oracle. Retrieved December 8, 2021, from https://www.oracle.com/technetwork/database/bi-datawarehousing/wp-big-data-with-oracle-521209.pdf
- Fenn, J. (2010). Hype cycle for emerging technologies, 2010. Gartner. Retrieved January 2, 2022, from www.gartner.com
- Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144. doi:10.1016/j.ijinfomgt.2014.10.007
- Gwak, H., & Lee, K. (2021). Consumer perception of types of fashion live commerce: Using text mining. Journal of Fashion Business, 25(3), 90-107. doi:10.12940/jfb.2021.25.3.90
- Ha, J. (2002). Functionalism expressed in American fashion design. Journal of the Korean Society of Clothing and Textiles, 26(9/10), 1455-1466.
- Heo, J. S., & Lee, E. J. (2019). Trend analysis of fashion brand evaluation using big data -Focusing on Gucci brand-. Journal of the Korean Society of Costume, 69(6), 38-51. doi:10.7233/jksc.2019.69.6.038
- Jeong, A. (2020). A study on the characteristics of Amekaji-look in Korea (Unpublished master's thesis). Seoul National University, Seoul, Korea.
- Kim, C., & Ro, M. (2009). Diffusion and limitation of American trendy casual style in Korea -Focusing on the styles of American celebrities-. Journal of the Korean Society of Costume, 59(2), 128-142.
- Kim, D. J., & Lee, S. (2019). A study of consumer perception on fashion show using big data analysis. Journal of Fashion Business, 23(3), 85-100. doi:10.12940/jfb.2019.23.3.85
- Kim, H. (2001). A study on design features of unisex young casual wear. Journal of the Korean Society of Costume, 51(6), 85-99.
- Kim, J., & Lee, J. (2018). Comparison and analysis of domestic and foreign sports brands using text mining and opinion mining analysis. The Journal of the Korea Contents Association, 18(6), 217-234. doi:10.5392/JKCA.2018.18.06.217
- Kim, S. S., & Kim, Y. S. (2016). Study on recognitions of luxury brands by using social big data. Fashion & Textile Research Journal, 18(1), 1-14. doi:10.5805/SFTI.2016.18.1.1
- Kim, Y. (2018). A study on Japanese men's street fashion -From Urahara to Neo-Urahara-. Journal of Fashion Design, 18(4), 1-16. doi:10.18652/2018.18.4.1
- Kim, Y. (2020). 소셜네트워크분석 기법의 이해와 적용: 네트워크 구조와 클러스터링 그리고 QAP [Understanding and application of social network analysis techniques: Network structure, clustering, and QAP]. Korea Insitute of Public Administration, 34, 58-68.
- Koo, Y. S. (2020). Trend analysis on clothing care system of consumer from big data. Fashion & Textile Research Journal, 22(5), 639-649. https://doi.org/10.5805/SFTI.2020.22.5.639
- Korea Institute of S&T Evaluation and Planning. (2018). KISTEP Technology Trend Brief (2018-11). Retrieved December 8, 2021 from https://www.kistep.re.kr/flexer/view.jsp?FileDir=/board/0031&SystemFileName=1533627124484.pdf&ftype=pdf&FileName=1533627124484.pdf
- Laney, D. (2001). 3-D data management: Controlling data volume, velocity and variety. META Group Research Note, 6(70).
- Lee, K. (2008). Change of Japanese street fashion after the Second World War. Fashion & Textile Research Journal, 10(1), 30-39.
- Lee, S. (2012). 네트워크 분석 방법론 [Network analysis method]. Seoul: Nonhyeong.
- Marx, W. D. (2020). Ametora: How Japan saved American style. (S. Park, Trans.). Seoul: Workroom Press. (Original work published 2015).
- Min, J. (2019, May 8). Come back! Biscuit pants...fashionable these days, wear work clothes. Hankyung Economy. Retrieved January 26, 2022, from www.hankyung.com
- Schroeck, M., Shockley, R., Smart, J., Romero-Morales, D., & Tufano, P. (2012). Analytics: The real-world use of big data. Somers, NY: IBM Institute for Business Value, Said Business School.
- Search Results for the 'American Casual' Category in Musinsa Codimap. (n.d.). [Photograph]. Musinsa Codimap. Retrieved from https://store.musinsa.com/app/codimap/lists?style_type=americancasual&tag_no=&brand=&display_cnt=60&list_kind=big&sort=date&page=1
- Seon, J., Jung, H., & Lee, J. (2021). Changes in street fashion networks using social big data -Time-series approach to public attention and cluster attributes-. Journal of the Korean Society of Costume, 71(3), 124-142. doi:10.7233/jksc.2021.71.3.124
- Song, E., & Lim, H. (2021). Perceptions and trends of digital fashion technology -A big data analysis-. Fashion & Textile Research Journal, 23(3), 380-389. doi:10.5805/SFTI.2021.23.3.380
- Sung, K. S. (2020). Research on the reaction to Newtro fashion through social media. The Treatise on The Plastic Media, 23(2), 10-18. doi:10.35280/KOTPM.2020.23.2.2
- Yadranjiaghdam, B., Pool, N., & Tabrizi, N. (2016). A survey on real-time big data analytics: Applications and tools. 2016 International Conference on Computational Science and Computational Intelligence (pp.404-409). Las Vegas, NV: IEEE
- Yum, H. (1999). A study on street fashion in Japan - Focusing on the 1980s-. Journal of Fashion Business, 3(4), 55-66.
- Yum, H. (2004). A study on the Japanese street fashion since the 1990's. Journal of Fashion Business, 8(2), 102-115.