Fashion & Textile Research Journal (한국의류산업학회지)

The Society of Fashion and Textile Industry (한국의류산업학회)
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A Study on the Perception of Fashion Platforms and Fashion Smart Factories using Big Data Analysis

빅데이터 분석을 이용한 패션 플랫폼과 패션 스마트 팩토리에 대한 인식 연구

  • 송은영 (한세대학교 섬유패션디자인학과)
  • Received : 2021.10.18
  • Accepted : 2021.12.09
  • Published : 2021.12.31
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Abstract

This study aimed to grasp the perceptions and trends in fashion platforms and fashion smart factories using big data analysis. As a research method, big data analysis, fashion platform, and smart factory were identified through literature and prior studies, and text mining analysis and network analysis were performed after collecting text from the web environment between April 2019 and April 2021. After data purification with Textom, the words of fashion platform (1,0591 pieces) and fashion smart factory (9750 pieces) were used for analysis. Key words were derived, the frequency of appearance was calculated, and the results were visualized in word cloud and N-gram. The top 70 words by frequency of appearance were used to generate a matrix, structural equivalence analysis was performed, and the results were displayed using network visualization and dendrograms. The collected data revealed that smart factory had high social issues, but consumer interest and academic research were insufficient, and the amount and frequency of related words on the fashion platform were both high. As a result of structural equalization analysis, it was found that fashion platforms with strong connectivity between clusters are creating new competitiveness with service platforms that add sharing, manufacturing, and curation functions, and fashion smart factories can expect future value to grow together, according to digital technology innovation and platforms. This study can serve as a foundation for future research topics related to fashion platforms and smart factories.

Keywords

References

  1. Ahn, M. S., & Oh, I. K. (2015). Analysis of attitudes on using five-star hotel packages applying network text analysis method - Using portal sites. International Journal of Tourism Management and Sciences, 30(5), 163-181.
  2. Amber, W. O., Hirst, G., & Budanitsky, A. (2008). Real word spelling correction with trigrams - A reconsideration of the mays, damerau, and mercer model. Proceeding of 9th International Conference on Intelligent Text Processing and Computational Linguistics, 49(19), 605-616.
  3. An, H. S., & Park, M. J. (2017). A study on the user perception in fashion design through social media text-mining. Journal of the Korean Society of Clothing and Textiles, 41(6), 1060-1070. doi:10.5850/JKSCT.2017.41.6.1060
  4. 'As an example, the status of manufacturing as a service'. (2018, June 11). S&T GPS. Retrieved June 25, 2021, from https://now.k2base.re.kr/portal/issue/ovseaIssued/view.do?poliIsueId=ISUE_000000000000847&menuNo=200046&pageIndex
  5. Cha, M. G., & Keon, S. H. (2015). A semantic network analysis of "creative economics" in news frame. Korean Journal of Journalism & Communication Studies, 59(2), 88-120.
  6. Cho, Y. J. (2020). Study on perception of 3D printing fashion using big data analysis. The Korean Society of Science & Art, 38(1), 271-283. doi:10.17548/ksaf.2020.01.30.271
  7. Choi, Y. H., Jeong, J. H., & Lee K. H. (2021). Research trends and knowledge structure of digital transformation in fashion. Journal of Digital Convergence, 19(3), 319-329. doi:10.14400/JDC.2021.19.3.319
  8. Choi, Y. H., & Lee, K. H. (2020). Ethical fashion research trend using text mining - Network analysis of the published literature 2009- 2019. Fashion & Textile Research Journal, 22(2), 181-191. doi:10.5805/SFTI.2020.22.2.181
  9. Chun, S. C., Kim, H. J., & Youn, J. Y. (2019). Platform business success cases and growth factors. Journal of Basic Design & Art, 20(4), 455-474. doi:10.47294/KSBDA.20.4.33
  10. Eom, K. H., & Oh, R. K. (2017). A study on the importance of fashion curation service design based on big data - Mainly with Korean Male Life Style in Their 30s~40s. Journal of the Korean Society of Design Culture, 23(4), 559-570. doi:10.18208/ksdc.2017.23.4.559
  11. Gupta, S. (2019). Driving Digital Strategy(S. J. Kim, Trans.). Seoul: Freelec. (Original work published 2019)
  12. Han, K. H. (2019). A study on the consumer's perception of Hi Seoul Fashion Show using big data analysis. Journal of Fashion Business, 23(5), 81-95. doi:10.12940/jfb.2019.23.5.81
  13. Jang, N. K., & 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
  14. Jun, C. N., & Seo, I. W. (2013). Analyzing the bigdata for practical using into technology marketing - Focusing on the potential buyer extraction. Journal of Marketing Studies, 21(2), 181-203.
  15. Jung, H. (2018). A study on the megatrend of korean fashion industry in the new normal era. Korean Society of Basic Design & Art, 19(4), 391-404. doi:10.47294/KSBDA.19.4.29
  16. Kang, E. M. (2020). A study on consumer perception on athleisure look using big data. Journal of the Korean Society of Design Culture, 26(4), 1-18. doi:10.18208/ksdc.2020.26.4.1
  17. Kang, W. G., Ko, E. S., Lee, H. R., & Kim, J. N. (2018). A study of the consumer major perception of packaging using big data analysis - Focusing on text mining and semantic network analysis. Journal of the Korea Convergence Society, 9(4), 15-22. doi:10.15207/JKCS.2018.9.4.015
  18. Kim, E. D. (2017a). A study on the ergonomic fashion design in fashion websites since 2000. Unpublished doctoral dissertation, Ewha Womans University, Seoul.
  19. Kim, H. S. (2017b). An exploratory study on the semantic network analysis of food tourism through the big data. Culinary Science & Hospitality Research, 23(4), 22-32. doi:10.20878/cshr.2017.23.4.003
  20. Kim, H. W., & Jeon, C. N. (2014). An exploratory study on content creation methods utilizing big data - Linguistic and story resources for effective creation of TV home shopping content. Journal of Cyber Communication Academic Society, 31(3), 5-51.
  21. Kim, J. H., & Lee, J. M. (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
  22. Kim, J. S. (2018). A study on the perception of fashion streaming service using text mining analysis - Focused on PROJECT ANNE. Journal of Fashion Design, 18(1), 107-118. doi:10.18652/2018.18.1.7
  23. 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
  24. Kim, S. R. (2020a). A convergence study on the perception of anorak fashion using big data analysis. The Korean Society of Science & Art, 38(1), 43-55. doi:10.17548/ksaf.2020.09.30.43
  25. Kim, S. R. (2020b). A study on the development of fashion design through the convergence of digital technology - Focusing on big data and 3D virtual clothing program. Journal of Cultural Product & Design, 62, 285-297. doi:10.18555/kicpd.2020.62.26
  26. Kim, Y. H. (2020c, July 1). 4차 산업혁명 시대의 개인맞춤 시장과 제조 밸류체인의 변화 [Changes in personalized markets and manufacturing value chains in the era of the 4th Industrial Revolution.]. IITP Retrieved July 25, 2021, from https://www.itfind.or.kr/WZIN/jugidong/1953/file1196802886173208631-1953(2020.07.01)-25.pdf
  27. Kim, Y. H., & Kim, Y. J. (2016). Social network analysis. Seoul: Parkyoungsa
  28. Koo, Y. S. (2020). Trend analysis on clothing care system of consumer from big data. Fashion & Textile Research Journal, 22(5), 639-649. doi:10.5805/SFTI.2020.22.5.639
  29. Lee, J. H., Lee, J. M., Kim, W. K., & Kim, H. G. (2017). A study on perception of swimsuit using big data text-mining analysis. Korean Journal of Sport Science, 28(1), 104-116. https://doi.org/10.24985/kjss.2017.28.1.104
  30. Lee, J. S., & Lee, J. J. (2016). A study on the development of shoe design using 3D scanning and 3D printing - Focused on heel design. The Korea Society of Fashion Design, 16(2), 99-111. doi:10.18652/2016.16.2.7
  31. Lee, J. Y., & Jung, H. J. (2020). Exploring consumers' perceptions of bags using the SNS big data. A Journal of Brand Design Association of Korea, 18(1), 55-70. doi:10.18852/bdak.2020.18.1.55
  32. 'Leverage 100% of your marketing data with social media in-depth analysis'. (2018, April 30). Chosunbiz. Retrieved May 15, 2021, from http://biz.chosun.com/site/data/html_dir/2018/04/30/2018043001300.html
  33. Lim, Y. T., & Lim, H. S. (2020). A comparative analysis of the prediction models for the direction of stock price using the online company reviews. Journal of the Korea Convergence Society, 11(8), 165-171. doi:10.15207/JKCS.2020.11.8.165
  34. Martin, F. R. (2019, January 23). How important are semantic networks in artificial intelligence. Analytics India Magazine. Retrieved May 15, 2021. from https://analyticsindiamag.com/semantic-networks-ai/
  35. Park, J. Y. (2020, August 22). 패션 플랫폼의 변신 [Transformation of the Fashion Platform]. econovill.com. Retrieved June 15, 2021, from https://www.econovill.com/news/articleView.html?idxno=408794
  36. Shin, N. R. (2016, November 9). 일상생활 속으로 파고드는 가상현실 [Virtual reality that penetrates into everyday life]. DIGIECO. Retrieved June 25, 2021, from http://www.thegoodcpa.com/%EA%B8%B0%ED%83%80%EC%9E%90%EB%A3%8C/846902
  37. Song, E. Y. & Lim, H. S. (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
  38. Song, T. M., & Song, J. Y. (2016). Social big data research methodology with R. Seoul: Hannarae.
  39. Sung, K. S. (2020). Social media big data analysis of Z-generation fashion. Journal of the Korea Fashion & Costume Design Association, 22(3), 49-61. doi:10.30751/kfcda.2020.22.3.49
  40. Yang, E. K., & Lee, J. H. (2020). Typing intelligent characteristics of the fashion business platform and strategic directions - Focused on domestic and foreign case analysis. Journal of Fashion Design, 20(1), 55-72. doi : 10.18652/2020.20.1.4