DOI QR코드

DOI QR Code

토픽 모델링을 이용한 지속가능패션 연구 동향 분석

Analysis of sustainable fashion research trends using topic modeling

  • 이하나 (고려대학교 BK21지속가능생활시스템교육연구단)
  • Lee, Hana (BK21 FOUR R&E Center for Sustainable Living System, Korea University)
  • 투고 : 2021.07.31
  • 심사 : 2021.08.19
  • 발행 : 2021.08.31

초록

As interest in the sustainable fashion industry continues to increase along with climate issues, it is necessary to identify research trends in sustainable fashion and seek new development directions. Therefore, this study aims to analyze research trends on sustainable fashion. For this purpose, related papers were collected from the KCI (Korean Citation Index) and Scopus, and 340 articles were used for the study. The collected data went through data transformation, data preprocessing, topic modeling analysis, core topic derivation, and visualization through a Python algorithm. A total of eight topics were obtained from the comprehensive analysis: consumer clothing consumption behavior and environment, upcycle product development, product types by environmental approach, ESG business activities, materials and material development, process-based approach, lifestyle and consumer experience, and brand strategy. Topics were related to consumption, production, and education of sustainable fashion, respectively. KCI analysis results and Scopus analysis results derived eight topics but showed differences from the comprehensive analysis results. This study provides primary data for exploring various themes of sustainable fashion. It is significant in that the data were analyzed based on probability using a research method that excluded the subjective value of the researcher. It is recommended that follow-up studies be conducted to examine social trends.

키워드

참고문헌

  1. Agarwal, S. (2021). Integration of sustainable practices in fashion design education: An experimental study based on experiential learning. International Journal of Design Education, 15(2), 153-166. doi:10.18848/2325-128X/CGP/V15I02/153-166
  2. Blei, D. M. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84. doi:10.1145/2133806.2133826
  3. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.
  4. Chang, J., Boyd-Graber, J., Gerrish, S., Wang, C., & Blei, D. M. (2009). Reading tea leaves: How humans interpret topic models. Proceeding of the 23th Annual Conference on Neural Information Processing Systems, 22, 288-296.
  5. Choi, H. J. (2016). A survey on the research trends in the field of eco and eco-friendly fashion in Korea: Focused on journal publications from 2010 through 2014. Journal of the Korean Society of Costume, 66(5), 163-173. doi:10.7233/jksc.2016.66.5.163
  6. Choi, W., Sul, J., Jeong, H., & Yoon, H. (2018). Comparison and analysis of subject classification for domestic research data. The Journal of the Korea Contents Association, 18(8), 178-186. doi:10.5392/JKCA.2018.18.08.178
  7. 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
  8. Choi, Y.-H., Jeong, J., & Lee, K.-H. (2021). Research trends and knowledge structure of digital transformation in fashion. Journal of Digital Convertgence, 19(3), 319-329. doi:10.14400/JDC.2021.19.3.319
  9. Choo, H. J., Nam, Y. J., Lee, Y., Lee, H. K., Lee, S. J., Lee, S.-E., ... & Kim, D. Y. (2012). Domestic research trends in IT fashion. Fashion & Textile Research Journal, 14(4), 614-628. doi:10.5805/KSCI.2012.14.4.614
  10. DeLong, M., & Bang, H. (2021). Patterns of dressing and wardrobe practices of women 55+ years living in Minnesota. Fashion Practice, 13(1), 48-68. doi:10.1080/17569370.2021.1872896
  11. Farra, E. (2019, August 26). 150 brands have joined Emmanuel Macron's fashion pact to make the fashion industry more sustainable. Vogue. Retrieved June 15, 2021, from https://www.vogue.com/article/fashion-pact-sustainability-g7-summit-emmanuel-macron
  12. Hahn, S., & Kim, Y. (2014). The research trends of fashion studies and fashion design.aesthetics.fashion history field: Focused on 2004~2013 and . The Research Journal of the Costume Culture, 22(4), 579-594. doi:10.7741/rjcc.2014.22.4.579
  13. Heo, J. Y. (2020). Upcycling shirt design with de-constructionist idea method. Bulletin of Korean Society of Basic Design & Art, 21(5), 655-668. https://doi.org/10.47294/KSBDA.21.5.47
  14. Hustvedt, G., & Dickson, M. A. (2009). Consumer likelihood of purchasing organic cotton apparel: Influence of attitudes and self-identity. Journal of Fashion Marketing and Management, 13(1), 49-65. doi:10.1108/13612020910939879
  15. Jacobs, T., & Tschotschel, R. (2019). Topic models meet discourse analysis: A quantitative tool for a qualitative approach. International Journal of Social Research Methodology, 22(5), 469-485. doi:10.1080/13645579.2019.1576317
  16. Jang, N., & Kim, M. J. (2017). Research trend analysis in fashion design studies in Korea using topic modeling. Journal of Digital Convergence, 15(6), 415-423. doi:10.14400/JDC.2017.15.6.415
  17. Jeong, S. J., & Rhee, Y. (2018). A study on corporate social responsibility activities of fashion companies. Journal of the Korea Fashion and Costume Design Association, 20(1), 17-28. doi:10.30751/kfcda.2018.20.1.17
  18. Jo, H. I., Kim, J. W., & Lee, B. G. (2019). A study on research trends of block-chain using LDA topic modeling: Focusing on United States, China, and South Korea. Journal of Digital Contents Society, 20(7), 1453-1460. doi:10.9728/dcs.2019.20.7.1453
  19. Ju, S. R., & Chung, M. S. (2015). Evaluation of corporate social responsibility activities for fashion company's sustainable management: On the moderating effects of consumers' perceived fit and motivation. The Research Journal of the Costume Culture, 23(4), 644-660. doi:10.7741/rjcc.2015.23.4.644
  20. Kim, H. G., Ryu, K. W., & Paek, I. S. (2020). Topic modeling with a literature review of the Journal of Wind Energy. Journal of Wind Energy, 11(2), 30-36. doi:10.33519/kwea.2020.11.2.004
  21. Kim, M. H. (2009). Analysis of domestic research trends in fashion illustration. Journal of the Korean Society of Clothing and Textiles, 33(8), 1337-1346. doi:10.5850/JKSCT.2009.33.8.1337
  22. Kim, N., Lee, D., Choi, H., & Wong, W. X. S. (2017). Investigations on techniques and applications of text analytics. The Journal of Korean Institute of Communications and Information Sciences, 42(2), 471-492. doi:10.7840/kics.2017.42.2.471
  23. Kim, S. Y. (2018). Domestic research trends in fashion cultural products. Journal of Korea Design Forum, 23(2), 61-72. doi:10.21326/ksdt.2018.23.2.006
  24. Kim, S. Y. (2019). Domestic research trends in fashion designer. Journal of Korea Design Forum, 24(2), 31-42. doi:10.21326/ksdt.2019.24.2.003
  25. Koh, H. K., An, D. H., & Suh, Y. G. (2021). ESG environment management: Case study of Blackyak style. Journal of Product Research, 39(3), 77-86. https://doi.org/10.36345/KACST.2021.39.3.009
  26. Lee, H., & Ma, J. J. (2020). A study of the trend in sustainable fashion research based on the previous research achievements of the centre for sustainable fashion. The Research Journal of the Costume Culture, 28(5), 652-668. doi:10.29049/rjcc.2020.28.5.652
  27. Lee, M., & Lee, J. (2019). Research trends in Journal of Fashion Business: A social network analysis of keywords in fashion marketing and design area. Journal of Fashion Business, 23(3), 51-66. doi:10.12940/jfb.2019.23.3.51
  28. Leydesdorff, L., & Nerghes, A. (2017). Co-word maps and topic modeling: A comparison using small and medium-sized corpora (N< 1,000). Journal of the Association for Information Science and Technology, 68(4), 1024-1035. doi:10.1002/asi.23740
  29. Mohammed, S. H., & Al-augby, S. (2020). LSA & LDA topic modeling classification: Comparison study on e-books. Indonesian Journal of Electrical Engineering and Computer Science, 19(1), 353-362. doi:10.11591/ijeecs.v19.i1.pp%25p
  30. Mukendi, A., & Henninger, C. E. (2020). Exploring the spectrum of fashion rental. Journal of Fashion Marketing and Management, 24(3), 455-469. doi:10.1108/JFMM-08-2019-0178
  31. Park, D. Y., Kim, D. H., & Kim, K. W. (2021). Topic modeling-based domestic and foreign public data research trends comparative analysis. Journal of Digital Convergence, 19(2), 1-12. doi:10.14400/JDC.2021.19.2.001
  32. Park, J., & Oh, H. J. (2017). Comparison of topic modeling methods for analyzing research trends of archives management in Korea: Focused on LDA and HDP. Journal of Korean Library and Information Science Society, 48(4), 235-258. doi:10.16981/kliss.48.201712.235
  33. Park, J. H., & Song, M. (2013). A study on the research trends in library & information science in Korea using topic modeling. Journal of the Korean Society for Information Management, 30(1), 7-32. doi:10.3743/KOSIM.2013.30.1.007
  34. Shen, B. (2014). Sustainable fashion supply chain: Lessons from H&M. Sustainability, 6(9), 6236-6249. doi:10.3390/su6096236
  35. Sievert, C., & Shirley, K. (2014). LDAvis: A method for visualizing and interpreting topics. Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces, 63-70.
  36. Silvestri, R. (2021, June 27). Fast fashion is still a big threat to our environment: Here's what needs to change. Vogue. Retrieved June 15, 2021, from https://en.vogue.me/fashion/fast-fashion-2021-statistics/
  37. Suh, B. J., & Shin, S. Y. (2017). A study on the research trends on domestic platform government using topic modeling. Informatization Policy, 24(3), 3-26. doi:10.22693/NIAIP.2017.24.3.003
  38. Suk, H., & Lee, E. J. (2017). Fashion consumer's environmental awareness, pursuing values in disposal, sustainable fashion consumption attitude and fashion disposal behavior. The Research Journal of the Costume Culture, 25(3), 253-269. doi:10.7741/rjcc.2017.25.3.253
  39. Trejo, H. X., Smith, H. A., Trejo, N. K., & Lewis, T. L. (2019). Made in New York: A collaborative model to encourage slow fashion. Clothing and Textiles Research Journal, 37(3), 139-154. doi:10.1177/0887302X19838331
  40. Won, Y. K., & Kim, Y. W. (2021). Analysis of research trends in Korean English education journals using topic modeling. The Journal of the Korea Contents Association, 21(4), 50-59. doi:10.5392/JKCA.2021.21.04.050
  41. Yoo, S. T., Park, K. S., Lee, Y. S., Hwang, S. J., & Kim, K. S. (2020). Analysis of domestic industrial security trends using LDA topic modeling. Korean Journal of Industrial Security, 10(2), 79-103. doi:10.33388/kais.2020.10.2.079