한국의류학회지 (Journal of the Korean Society of Clothing and Textiles)

  • 제46권6호
  • /
  • Pages.963-986
  • /
  • 2022
  • /
  • 1225-1151(pISSN)
  • /
  • 2234-0793(eISSN)
한국의류학회 (The Korean Society of Clothing and Textiles)
권호 표지
DOI QR코드

DOI QR Code

국내 패션 시스템에서 패션 트렌드 정보 예측의 영향력

Influence of Fashion Trend Forecasting on Korean Fashion System

  • Dawn Jung (Dept. of Textiles, Merchandising & Fashion Design, Seoul National University) ;
  • Sung Eun Kim (Dept. of Textiles, Merchandising & Fashion Design, Seoul National University) ;
  • Jisoo Ha (Research Institute of Human Ecology, Seoul National University)
  • 투고 : 2022.01.11
  • 심사 : 2022.08.16
  • 발행 : 2022.12.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

This article surveys the fashion forecasting industry in Korean domestic markets. With the rise of new media and devices with high technology, the paradigm of fashion trends forecasting systems has dramatically changed. New perspectives of trend forecasting are required to understand the trend flow and consumer behavior of the MZ generation. The research questions are as follows: 1) Major trend forecasting companies studied the development of their strategies and new forecasting methods. 2) The consumers' needs in the domestic market were analyzed. The influence of the trend companies' forecasting on the market was investigated. The results are as follows: 1) International trend forecasting significantly affected the domestic market. The concordance rate between consumers' online searches about fashion trends was approximately 70.14%. The match rate by category is as follows: The highest rate, 85.06% is from pattern and print, color is 83.92%, the item is 80.39%, and style is 54.32%. 2) Specialized information such as the Pantone color chart is being widely consumed, leading to a trend among the masses. 3) The Korean-specific socio-cultural background has an impact on domestic trends.

키워드

과제정보

본 연구는 2017년 대한민국 교육부와 한국연구재단의 중견연구 사업의 연구비를 지원받아 수행되었음(NRF-2017S1A5A2A01027263).

참고문헌

  1. Bae, J. C. (2021, June 22). 삼성패션의 변신...몸집 줄이고 해외명품 발굴 [Transformation of Samsung Fashion...reduce body size and discover overseas luxury goods]. The Korea Economic Daily. Retrieved from https://www.hankyung.com/economy/article/2021062111771
  2. Barnett, E. (2011, May 1). Trend-spotting is the new £36bn growth business. The Telegraph. Retrieved from http://www.tel egraph.co.uk/finance/newsbysector/mediatechnologyandte lecoms/8482964/Trend-spotting-is-the-new-36bn-growth-business.html
  3. Brahma, S. (2022, October 10). Top 12 fashion forecasting agencies for trend forecasting & analytics. The Fashion Frill. Retrieved from https://thefashionfrill.com/fashion/fashionforecasting-agencies/
  4. Brucculieri, J. (2018, December 3). The 8 most unforgettable fashion trends from 2018. HuffPost. Retrieved from https://www.huffpost.com/entry/fashion-trends-2018_n_5c0167fde4b0b69ed37ac9de
  5. Carvell, N. (2016, October 12). 10 trends you need to know for winter. GQ. Retrieved from https://www.gq-magazine.co.uk/article/autumn-winter-2016-trends
  6. Choi, H.-J., & Ha, J.-S. (2005). A study on type of planning information available from fashion information providers of Korea. Journal of the Korean Society of Costume, 55(4), 151-165.
  7. Choi, M.-Y., & Son, M.-Y. (2008). The study on domestic fashion information service industry for systematization of fashion trend information planning process. Journal of the Korean Society for Clothing Industry, 10(6), 926-935.
  8. Cunningham, E. (2019, July 15). In the age of mass fashion, made-to-order finds new appeal. Vogue Business. Retrieved from voguebusiness.com/fashion/made-to-order-brands-retail-2019
  9. Dodes, R. (2010, July 14). The 80-year hunt for 'It' fashions. The Wall Street Journal. Retrieved from https://www.wsj.com/articles/SB10001424052748704288204575363151343676336
  10. DuBreuil, M., & Lu, S. (2020). Traditional vs. big-data fashion trend forecasting: an examination using WGSN and EDITED. International Journal of Fashion Design, Technology and Education, 13(1), 68-77. doi:10.1080/17543266.2020.1732482
  11. Harris, C. (2017). The fundamentals of digital fashion marketing. London and New York: Bloomsbury Visual Arts.
  12. Holland, G., & Jones, R. (2017). Fashion trend forecasting. London: Laurence King Publishing.
  13. Hong, J. I. (2018, September 25). "네이버 점유율 71.5%...이용자 23%, 다음.구글로 바꿀 것" ["NAVER rate 71.5%...user 23% will transfer to Daum and Google"]. Yonhapnews. Retrieved from https://www.yna.co.kr/view/AKR20180919182000017
  14. Jang, N., & Kim, M.-J. (2020). Material as a key element of fashion trend in 2010~2019 - text mining analysis -. Fashion & Textile Research Journal, 22(5), 551-560. doi:10.5805/SFTI.2020.22.5.551
  15. Kang, J. S. (2022, February 4). 비주얼, 80만 유저 데이터 분석 [Visual, 800,000 user data analysis]. Fashionbiz. Retrieved from https://www.fashionbiz.co.kr/article/view.asp?idx=189694
  16. Kang, Y. H. (2011, May 2). 64조 시장 '트렌드 예측 산업' 뜬다. [Trend forecasting business market size is expected to expand]. The Korea Economic Daily. Retrieved from https://www.hankyung.com/international/article/2011050262031
  17. Kim, E. Y. (2020, May 10). 아직도 롱패딩? 코로나 이후 아웃 도어가 살아남는 방법은. [Still long padded coat? how outdoors survive after COVID-19?]. Chosun Biz. Retrieved from https://biz.chosun.com/site/data/html_dir/2020/05/09/2020050900207.html
  18. Kim, E., Fiore, A. M., Payne, A., & Kim, H. (2021). Fashion trends: Analysis and forecasting (2nd ed.). London: Bloomsbury Visual Arts.
  19. Kim, K.-H., & Byun, H.-W. (2020). The analysis of fashion trend cycle using big data. Journal of the Korea Convergence Society, 11(12), 113-123. doi:10.15207/JKCS.2020.11.12.113
  20. Kim, S. I. (2018, October 16). '쇼미더머니' 나플라.루피.마마손 힙합 열기... 저항.허세.과장의 미학 ['Show Me The Money' nafla.Loopy.Mommy Son make hip hop fever...resist.bluff.exaggerate from an aesthetic point of view]. Readers News. Retrieved from http://www.readersnews.com/news/articleView.html?idxno=90426
  21. Kim, S.-N. (2008). Study on the categorization of sensitive language as reflected in fashion textiles trend books (Unpublished master's thesis). Duksung Women's University,
  22. Kim, S.-Y., & Yang, H.-Y. (2006). A study on the fashion trend according to the changes of cultural code - Focusing on 2005 fashion trends -. Journal of the Korean Society of Costume, 56(2), 134-146.
  23. Kim, Y. E. (2012, October 6). 인터패션플래닝 박상진 대표이사, "트렌드 정보사로그 가치 찾을 터" 대대적 변화 추구한다 [Interfashion Planning CEO Park Sangjin seek change tendency and looks for value of trend forecast fashion]. Fashion Review. Retrieved from http://www.fashion-review.co.kr/fc/imgView03b.html?num=1894&PHPSESSID=8d9139d4011dee3c5a66f8f5e8777bf4
  24. Kim, Y. J. (2021, June 22). 패션 씽크탱크 '삼성디자인넷' 문 닫아 [Fashion think tank 'Samsung Designnet' closed]. Mediapen. Retrieved from http://www.mediapen.com/news/view/638946#:~:text=%EC%82%BC%EC%84%B1%EB%94%94%EC%9E%90%EC%9D%B8%EB%84%B7%EC%9D%80%20%22%EC%98%A8%EB%9D%BC%EC%9D%B8,%EB%A6%AC%EC%84%9C%EC%B9%98%20%EC%84%BC%ED%84%B0'%20%EC%97%AD%ED%95%A0%EC%9D%84%20%ED%95%B4%EC%99%94%EB%8B%A4
  25. Kim, Y. K., & Lee, K. H. (2005). A study on men's fashion image coordination through trend analysis. Journal of the Korean Society of Clothing and Textiles, 29(5), 703-714.
  26. Koo, E. S. (2021, August 13). '명품 황제株' LVMH, 시총 500 조 향해 질주 ['International luxury goods' company LVMH run towards a market cap of 500 trillion won]. The Korea Economic Daily. Retrieved from https://www.hankyung.com/finance/article/202108132776i
  27. Lee, I. (2003). A study on the relativity between fashion trend and consumer acceptance. Journal of the Korean Home Economics Association, 41(10), 185-198.
  28. Lee, J. R. (2018, May 30). 패션이 과학과 만나면 어떤 일이 벌 어질까? [When fashion meets science?]. Dongascience. Retrieved from https://www.dongascience.com/news.php?idx=22612
  29. Lee, M. J. (2021, August 13). "럭셔리 패션.뷰티 덕분" 신세계 인터내셔날, 2분기 '역대 최대' 실적 달성 ["Thanks do luxury fashion and beauty" Shinsegae International achieves 'record-high' 2Q earnings]. Hankyung Business. Retrieved from https://magazine.hankyung.com/business/article/202108129932b
  30. Lee, S. J. (2019, December 27). 유튜브 등 온라인 동영상 이용률 47% 급성장 [Online video such as YouTube use 47% rapid growth]. Newsis. Retrieved from https://newsis.com/view/?id=NISX20191227_0000873024&cID=10602&pID=10600
  31. Maureen. (2018, February 22). Runway predictions for Fall 18/19 by WGSN. The YesStylist. Retrieved from https://www.yesstyle.com/blog/2018-02-22/runway-predictions-for-fall-18-19-by-wgsn-trendspotting/
  32. Moon, B. H. (2017, September 15). 미국 新소비 트렌드 가방은 명품.옷은 SPA [New consumption trend in the US bags are luxury brands, and clothes are SPA brands]. Fashion Seoul. Retrieved from https://fashionseoul.com/150231
  33. Nam, S. G. (2012, April 9). 에이다임, 인터패션플래닝 분리 [Adigm, separate from Interfashion Planning]. Fashionbiz. Retrieved from https://www.fashionbiz.co.kr/article/view.asp?cate=1&sub_num=22&idx=126721
  34. Park. C. K. (2018). 4차 산업혁명 시대 콘텐츠가 왕이라면 컨텍스트는 신이다 [If content is king in the era of the 4th industrial revolution, context is god]. Seoul: Cloud9.
  35. Pouillard, V. (2013). The rise of fashion forecasting and fashion public relations, 1920-1940s: The history of Tobe and Bernays. In H. Berghoff, & T. Kuhne (Eds.), Globalizing beauty: Consumerism and body aesthetics in the twentieth century (pp. 151-169). New York, NY: Palgrave Macmillan.
  36. Samsung Designnet. (2015). 2015 F/W Women > Collection Trend > Overview: Innovative chaos. SDN. Retrieved September 8, 2019, from https://www.samsungdesign.net/member/logon_fail_Redirect.asp?a=/Fashion/Collection/New_Content_Print.asp&b=year1%3D2015%26season%3Dfw%26an%3D78%26itemidx%3D473%26sex%3DWOMEN%26HtmlHeadC%25E2%2580%25A6
  37. Samsung Designnet. (2016). 2016 S/S Women > Collection Trend > Key Mood: Age of infinite individuality : Taste curation. SDN. Retrieved September 8, 2019, from https://www. samsungdesign.net/member/logon_fail_Redirect.asp?a=/Fashion/Collection/New_Collection_Print.asp&b=year1%3D2016%26season%3Dss%26an%3D83%26itemidx%3D494%26item%3DOverview%26sec%5Fsele%25E2%2580%25A6
  38. Samsung Designnet. (2018). 2018 S/S Women > Collection Trend > Overview: Focus on diversity. SDN. Retrieved September 8, 2019, from https://www.samsungdesign.net/member/logon_fail_Redirect.asp?a=/Fashion/Collection/New_Content_Print.asp&b=year1%3D2018%26season%3Dss%26an%3D103%26itemidx%3D593%26sex%3DWOMEN%26HtmlHead%25E2%2580%25A6
  39. Seo, Y., & Kim, Y. (2019). Characteristics and network analysis of seasonal fashion trend color. Journal of Korea Society of Color Studies, 33(2), 17-28. doi:10.17289/jkscs.33.2.201905.17
  40. Shin, H. S., Lee, J. H., Suh, Y. J., & Kim, J. Y. (2001). An analysis of the female consumers' acceptance of the new mode at a turning point of fashion trend - Focusing on the minimalism-influenced trend and maximalism-influenced trend -. Journal of Fashion Business, 5(4), 73-88
  41. Slabbert, H. (2017, January 17). #BizTrends 2017: Four runway trends for A/W 17. Bizcommunity. Retrieved from https://www.bizcommunity.com/Article/196/728/155271.html
  42. Song, B. R. (2021, May 28). AI 태깅 기술로 분석한 2021 F/W 패션 트렌드 1 - 아이템 순위 & 무드 [2021 F/W fashion trend analyzed with AI tagging technology 1 - Item ranks & mood]. Vogue Korea. Retrieved from https://www.vogue.co.kr/2021/05/28/ai-%ed%83%9c%ea%b9%85-%ea%b8%b0%ec%88%a0%eb%a1%9c-%eb%b6%84%ec%84%9d%ed%95%9c-2021-f-w-%ed%8c%a8%ec%85%98-%ed%8a%b8%eb%a0%8c%eb%93%9c-2/
  43. The Business of Fashion, & McKinsey & Company. (2016). The state of fashion 2017 [PDF document]. McKinsey & Company. Retrieved from https://www.mckinsey.com/~/media/McKinsey/Industries/Retail/Our%20Insights/The%20state%20of%20fashion/The-state-of-fashion-2017-McK-BoF-report.pdf
  44. Thomassey, S., & Zeng, X. (2018). Introduction: Artificial intelligence for fashion industry in the big data era. In S. Thomassey, & X. Zeng (Eds.), Artificial intelligence for fashion industry in the big data era (pp. 1-6). Singapore: Springer. doi:10.1007/978-981-13-0080-6_1
  45. Trochu, E. (2017, October 13). Color trends for Fall/Winter 2017- 2018. Vogue. Retrieved from https://www.vogue.fr/fashion/fashion-inspiration/diaporama/colors-back-to-school-trends-fall-winter-2017-2018/45555
  46. Velasquez, A. (2019, July 22). WGSN unveils Spring/Summer 2020 men's fashion trends at project New York. Rivet. Retrieved from https://sourcingjournal.com/denim/denim-trends/spring-summer-2020-mens-fashion-trends-wgsn-retail-161157/
  47. Velasquez, A. (2020, April 17). Coronavirus-era artwork will influence print and pattern trends. Rivet. Retrieved from https://sourcingjournal.com/denim/denim-trends/coronavirus-era-artwork-influence-print-pattern-fashion-snoops-203753/
  48. Vogue. (2014, October 7). Top 20 trends for Spring/Summer 2015 Vogue. Retrieved from https://www.vogue.fr/fashion/fashion-inspiration/diaporama/fwpe2015-top-20-trends-for-spring-summer-2015/15479
  49. W Magazine. (2016, February 25). Spring 2016's best white shirts-and how to wear them. W Magazine. Retrieved from https://www.wmagazine.com/gallery/white-shirts-spring-2016-fashion-trend
  50. Women's Health. (2019, October 25). 6 of the biggest activewear trends for 2020. Women's Health. Retrieved from womenshealth.com.au/activewear-trends-2020/
  51. Yang, Y. J., & Kim, M. H. (2019). Comparative study of street fashion in Seoul and Paris from the perspective of accepting trend forecast information. Journal of Cultural Product & Design, 58, 155-172. doi:10.18555/kicpd.2019.58.15
  52. Zhao, L., Li, M., & Sun, P. (2020). Neo-Fashion: A data-driven fashion trend forecasting system using catwalk analysis. Clothing and Textiles Research Journal. Advance online publication. doi:10.1177/0887302X211004299