한국의류산업학회지 (Fashion & Textile Research Journal)

  • 제25권1호
  • /
  • Pages.72-81
  • /
  • 2023
  • /
  • 1229-2060(pISSN)
  • /
  • 2287-5743(eISSN)
한국의류산업학회 (The Society of Fashion and Textile Industry)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Perception of Metaverse Fashion Using Big Data Analysis

  • Hosun Lim (Dept. of Clothing and Textiles, Sookmyung Women's University)
  • 투고 : 2022.12.27
  • 심사 : 2023.01.23
  • 발행 : 2023.02.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

As changes in social and economic paradigms are accelerating, and non-contact has become the new normal due to the COVID-19 pandemic, metaverse services that build societies in online activities and virtual reality are spreading rapidly. This study analyzes the perception and trend of metaverse fashion using big data. TEXTOM was used to extract metaverse and fashion-related words from Naver and Google and analyze their frequency and importance. Additionally, structural equivalence analysis based on the derived main words was conducted to identify the perception and trend of metaverse fashion. The following results were obtained: First, term frequency(TF) analysis revealed the most frequently appearing words were "metaverse," "fashion," "virtual," "brand," "platform," "digital," "world," "Zepeto," "company," and "game." After analyzing TF-inverse document frequency(TF-IDF), "virtual" was the most important, followed by "brand," "platform," "Zepeto," "digital," "world," "industry," "game," "fashion show," and "industry." "Metaverse" and "fashion" were found to have a high TF but low TF-IDF. Further, words such as "virtual," "brand," "platform," "Zepeto," and "digital" had a higher TF-IDF ranking than TF, indicating that they had high importance in the text. Second, convergence of iterated correlations analysis using UNICET revealed four clusters, classified as "virtual world," "metaverse distribution platform," "fashion contents technology investment," and "metaverse fashion week." Fashion brands are hosting virtual fashion shows and stores on metaverse platforms where the virtual and real worlds coexist, and investment in developing metaverse-related technologies is under way.

키워드

과제정보

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2022S1A5A2A01046690).

참고문헌

  1. Cho, Y. J. (2020). A 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
  2. Cho, Y. J. (2022). An exploratory study on consumers' perception towards upcycling through big data analysis. The Journal of Nextgeneration Convergence Technology Association, 6(2), 172-185. doi:10.33097/JNCTA.2022.06.02.172
  3. Choi, E., & Pyun. J. (2021). Effect of brand experience on brand attitude within Meta-bus through avatars - Focused on Gucci villa in Zepeto. Journal Korea Society of Visual Design Forum, 73, 83-94. doi:10.21326/ksdt.2021.26.4.007
  4. Han, K. H. (2019). A study on the consumer's perception of HiSeoul fashion show using big data analysis. Journal of Fashion Business, 23(5), 81-95. doi:10.12940/jfb.2019.23.5.81
  5. Han, K. H.. (2021). A study on leggings perception change with big data analysis - Based on covid-19. The Korea Journal of Sport, 19(3), 51-65. doi:10.46669/kss.2021.19.3.005
  6. Huh, J., & 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
  7. Jang, J. M. (2019). Analysis of K-league major discourse discovered through big data - Based on the online community. Unpublished doctoral dissertation, Chungnam National University, Daejeon.
  8. 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
  9. Jeon, H. J., & Kim, G. D. (2022). Suggestion of metaverse based online fashion shopping mall application service - Focused on the virtual fitting service. Journal of Digital Contents Society, 23(4), 589-601. doi:10.9728/dcs.2022.23.4.589
  10. 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.
  11. Kang, E. M. (2021). Changes in fashion perception due to the spread of COVID-19 - Focusing on the comparison between 2019 and 2020. Journal of the Korean Society of Design Culture, 27(1), 15-27. doi:10.18208/ksdc.2020.27.1.15
  12. Kang, E. M. (2022). Changes in perception of fashion rental service before and after COVID-19 through big data. Journal of the Korean Society of Design Culture, 28(1), 1-15. doi:10.18208/ksdc.2022.28.1.1
  13. Kim, D. H., & Lee, J. H. (2022). A case study on metaverse fashion marketing of global fashion luxury brand. Journal of Art & Design Research, 25(1), 11-24.
  14. Kim, G. M., & Ahn, J. A. (2021). A study on the activation of virtual space using metaverse zepeto app. Journal of Cultural Product & Design, 66, 375-383. doi:10.18555/kicpd.2021.66.032
  15. Kim, H. S. (2017). 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
  16. Kim, H. W., & Jun, 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 Cybercommunication Academic Society, 31(3), 5-51.
  17. Kim, J. H., & Lee, J. M. (2018). Comparison and analysis of domestic and foreign sports brands using text mining and opinion mining analysis. Journal of the Korea Contents Association, 18(6), 217-234. doi:10.5392/JKCA. 2018.18.06.217
  18. 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
  19. Kim, K. (2021) A study on the 'exhibition space and applicability using metaverse technology'. Design Research, 6(4), 152-160. doi:10.46248/kidrs.2021.4.152
  20. 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
  21. Kim, K., Seong, O., & Kim, S. (2022a). Analysis of virtual fashion style preferences and purchasing behavior of metaverse platform "Zepeto" users. Journal of Fashion Business, 26(3), 33-49. doi:10.12940/JFB.2022.26.3.33
  22. Kim, S. (2020). Metaverse. Paju: PlanB
  23. Kim, S. H., & Yoo, J. Y. (2021). A Study on the recognition and acceptance of metaverse in the entertainment industry - Focusing on the case of K-pop idol 'aespa' fandom. Journal of the Korea Entertainment Industry Association, 15(7), 1-15. doi:10.21184/jkeia.2021.10.15.7.1
  24. Kim, S. R. (2022). An analysis of changes in perception of metaverse fashion before and after Covid-19 using topic modeling based on text mining. The Journal of Next-generation Convergence Technology Association, 6(10), 2043-2055. doi:10.33097/JNCTA.2022.06.10.2043
  25. Kim, W. B., Hur, H. J., & Choo, H. J. (2022b). Case study on fashion brand flagship store in metaverse. Journal of the Korean Society of Clothing and Textiles, 46(3), 545-563. doi:10.5850/jksct.2022.46.3.545
  26. Kim, W. R., Park, E. J., & Ko, J. M. (2022c). A study on fashion brand on metaverse platform using business model canvas. Journal of Communication Design, 79, 320-333. doi:10.25111/jcd.2022.79.22
  27. Kim, Y., & Kim, J. (2022). Luxury fashion brands case analysis of using metaverse. Journal of Fashion Business, 26(3), 50-71. doi:10.12940/JFB.2022.26.3.50
  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, A., & Lee, J. H. (2018). A study of perception of golfwear using big data analysis. Fashion & Textile Research Journal, 20(5), 533-547. doi:10.5805/SFTI.2018.20.5.533
  30. Lee, E. J., & Jeon, J. (2022). Effect of experience of fashion brand metaverse virtual reality store on perceived avatar identification, perceived fun, and consumer-brand self-congruity. The Journal of the Convergence on Culture Technology, 8(4), 387-395. doi:10.17703/JCCT.2022.8.4.387
  31. Lee, E. S., & Um, G. J. (2021). A case study using metaverse according to marketing changes in fashion luxury brands. Design Research, 6(4), 375-386. doi:10.46248/kidrs.2021.4.375
  32. Lee, J. H., & Choi, E. Y. (2021). Performance distribution in metaverse, a new paradigm. Journal of Korean Dance, 54, 51-68. doi:10.52892/RIKD.2021.54.3
  33. 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
  34. Lee, J. M. (2021a). A study on home training market prospect and development plan using big data analysis. The Korean Journal of Physical Education, 60(1), 189-202. doi:10.23949/kjpe.2021.1.60.1.15
  35. 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
  36. Lee, S. (2021b). Metaverse begins. Seoul: Good moring media.
  37. Lee, S. Y., & Lim, J. S. (2021). A study on fashion contents based on Metaverse - Focused on the case of fashion game applying gamification. Proceeding of the Korean Society of Fashion Design. Spring Conference, Korea, pp. 47-48.
  38. Lee, Y., Lee, H. K., & Choi, Y. (2022). Consumer perception of 3D printing fashion - A text-mining analysis. Korean Society of Fashion Design, 22(3), 75-88. doi:10.18652/2022.22.3.5
  39. Park, K. S. (2021). A case study of virtual fashion industry of fashion brands through convergence with metaverse. The Korean Society of Science & Art, 39(4), 161-178. doi:10.17548/ksaf.2021.09.30.161
  40. Rickman, T. A., & Cosenza, R. M. (2007). The changing digital dynamics of multichannel marketing - The feasibility of the weblog: text mining approach for fast fashion trending. Journal of Fashion Marketing and Management, 11(4), 604-621. doi:10.1108/13612020710824634
  41. Salloum, S. A., Al-Emran, M., & Shaalan, K. (2017). Mining social media text - Extracting knowledge from Facebook. International Journal of Computing and Digital Systems, 6(2), 73-81. doi:10.12785/ijcds/060203
  42. Shin, H. R., & Yum, M. S. (2022). Development of new hanbok fashion design for metaverse avatars - Focused on the metaverse platform 'ZEPETO'. Korean Society of Fashion Design, 22(3), 161-179. doi:10.18652/2022.22.3.10
  43. Song, E. Y. (2021). A study on the perception of fashion platforms and fashion smart factories using big data analysis. Fashion & Textile Research Journal, 23(6), 799-809. doi:10.5805/SFTI.2021.23.6.799
  44. Song, E. Y. (2022). A study on the clothing production system by digital transformation. Unpublished doctoral dissertation, Sookmyung Women's University, Seoul.
  45. 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
  46. 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
  47. Yoo, Y. J., & Choi, J. H. (2022). A study on the collaboration of metaverse platform Zepeto - Focusing on fashion items. Journal of Basic Design & Art, 3(2), 377-393. doi:10.47294/ksbda.23.2.26