디지털융복합연구 (Journal of Digital Convergence)

  • 제19권3호
  • /
  • Pages.319-329
  • /
  • 2021
  • /
  • 2713-6434(pISSN)
  • /
  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
권호 표지
DOI QR코드

DOI QR Code

패션 영역에서 디지털 전환 관련 연구동향 및 지식구조

Research Trends and Knowledge Structure of Digital Transformation in Fashion

  • 최영현 (한양대학교 의류학과) ;
  • 정진하 (한양대학교 경영대학) ;
  • 이규혜 (한양대학교 의류학과 휴먼테크융합전공)
  • Choi, Yeong-Hyeon (Dept. of Clothing and Textiles, Hanyang University) ;
  • Jeong, Jinha (Business School, Hanyang University) ;
  • Lee, Kyu-Hye (Human-Tech Convergence Major, Dept. of Clothing and Textiles, Hanyang University)
  • 투고 : 2020.12.09
  • 심사 : 2021.03.20
  • 발행 : 2021.03.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구에서는 정보학적 접근을 통해 디지털 전환을 다룬 국내 패션 관련 연구동향과 지식구조를 밝히는 것을 목적으로 하였다. 국내 학술연구에서 나타난 관련 연구의 연도별, 학술지별 현황을 파악하고, 네트워크 분석을 통해 주요 연구 주제어를 도출하며, 시기별 주요 연구 동향과 지식 구조를 분석했다. 2010년부터 2020년까지 국내 학술 플랫폼에 게재된 159편의 연구를 수집했고, Python 3.7을 통해 데이터를 정제했으며, NodeXL 1.0.1을 통해 중심성 측정 및 네트워크 구현을 진행했다. 분석 결과 관련 연구는 2016년을 기점으로 활발하게 진행되었으며, 주로 의류학, 예술학 학술지에 밀집된 것으로 나타났다. 온라인 플랫폼, AR/VR이 가장 많이 언급되는 주제어로 나타났으며, 소비자 심리분석, 마케팅 전략 제시, 사례 분석이 주요 연구 방법으로 사용되고 있었다. 군집화를 통해 의류학의 세부 분과별 주요 연구 내용을 도출할 수 있었다. 시기별 주요 주제 분석 결과, 시간이 지남에 따라 소비자 중심의 연구에서 플랫폼이나 서비스에 대한 전략 제시 또는 디자인 개발 연구로 보다 다양하게 변화하고 있었다. 본 연구는 디지털 전환에 대한 패션 분야의 통찰력을 높이는데 기여하고, 관련 주제의 연구를 설계하는데 기초연구로 사용될 수 있을 것이다.

This study aims to investigate Korean fashion-related research trends and knowledge structures on digital transformation through information-based approaches. Accordingly, we first identified the current status of the relevant research in Korean academic literature by year and journal; subsequently, we derived key research topics through network analysis, and then analyzed major research trends and knowledge structures by time. From 2010 to 2020, we collected 159 studies published on Korean academic platforms, cleansed data through Python 3.7, and measured centrality and network implementation through NodeXL 1.0.1. The results are as follows: first, related research has been actively conducted since 2016, mainly concentrated in clothing and art areas. Second, the online platform, AR/VR, appeared as the most frequently mentioned topic, and consumer psychological analysis, marketing strategy suggestion, and case analysis were used as the main research methods. Through clustering, major research contents for each sub-major of clothing were derived. Third, major subject by period was considered, which has, over time, changed from consumer-centered research to strategy suggestion, and design development research of platforms or services. This study contributes to enhancing insight into the fashion field on digital transformation, and can be used as a basic research to design research on related topics.

키워드

참고문헌

  1. D. S. Yeon. (2019). Digital Trend 2020. Seoul: Garden of Books.
  2. C. Matt., T. Hess & A. Benlian. (2015). Digital transformation strategies. Business & Information Systems Engineering, 57(5), 339-343. DOI: 10.1007/s12599-015-0401-5
  3. J. H. Yoo & W. Y. Cho. (2018). Corporate strategies and platform capabilities in the digital transformation era. Communications of the Korea Institute of Information Scientists and Engineers, 36(9), 34-43.
  4. H. An., S. Kwon & M. Park. (2019). A case study on the recommendation services for customized fashion styles based on artificial intelligence. Journal of the Korean Society of Clothing and Textiles, 43(3), 349-360. DOI; 10.5850/JKSCT.2019.43.3.349
  5. M. H. Kim & S. H. Kim. (2020). A study on the convergence content of AI(Artificial Intelligence) fashion styling service 'Stitch Fix'. The Korean Society of Science and Art, 38(1), 13-24. DOI; 10.17548/ksaf.2020.01.30.13
  6. Y. H. Choi & K. H. Lee. (2020). Ethical fashion research trend using text mining: Network analysis of the published literature 2009-2019. Fashion and Textile Research Journal, 22(2), 181-191. DOI: 10.5805/SFTI.2020.22.2.181
  7. P. Bertola & J. Teunissen. (2018). Fashion 4.0 innovating fashion industry through digital transformation. Research Journal of Textile and Apparel, 22(4), 352-369. DOI: 10.1108/RJTA-03-2018-0023
  8. J. Conlon. (2020). From PLM 1.0 to PLM 2.0: the evolving role of product lifecycle management (PLM) in the textile and apparel industries. Journal of Fashion Marketing and Management: An International Journal, 24(4), 533-553. DOI: 10.1108/JFMM-12-2017-0143
  9. R. Hansen & S. K. Sia. (2015). Hummel's Digital Transformation Toward Omnichannel Retailing: Key Lessons Learned. MIS Quarterly Executive, 14(2). 51-66.
  10. V. Scuotto., E. Arrigo., E. Candelo & M. Nicotra. (2019). Ambidextrous innovation orientation effected by the digital transformation: A quantitative research on fashion SMEs. Business Process Management Journal, 26(5), 1121-1140. DOI: 10.1108/BPMJ-03-2019-0135
  11. M. Matarazzo., L. Penco., G. Profumo & R. Quaglia. (2020). Digital transformation and customer value creation in Made in Italy SMEs: A dynamic capabilities perspective. Journal of Business Research, 123, 642-656. DOI: 10.1016/j.jbusres.2020.10.033
  12. M. Hauser., S. A. Günther., C. M. Flath & F. Thiesse. (2019). Towards digital transformation in fashion retailing: A design-oriented is research study of automated checkout systems. Business & Information Systems Engineering, 61(1), 51-66. DOI: 10.1007/s12599-018-0566-9
  13. V. Arribas & J. A. Alfaro. (2018). 3D technology in fashion: From concept to consumer. Journal of Fashion Marketing and Management: An International Journal, 22(2), 240-251. DOI: 10.1108/JFMM-10-2017-0114
  14. P. Bhargavi., B. Jyothi., S. Jyothi & K. Sekar. (2008). Knowledge extraction using rule based decision tree approach. International Journal of Computer Science and Network, 8(7), 296-301. DOI: 10.1080/01431160903154374
  15. Y. H. Choi & K. H. Lee. (2020). Korean consumers' political consumption of Japanese fashion products. Journal of the Korean Society of Clothing and Textiles, 44(2), 295-309. DOI: 10.5850/JKSCT.2020.44.2.295
  16. D. S. Kim & J. W. Kim. (2014). Research trend analysis using bibliographic information and citations of cloud computing articles: Application of social network analysis. Journal of Intelligence and Information Systems, 20(1), 195-211. DOI: 10.13088/jiis.2014.20.1.195
  17. M. S. Chung., S. H. Park., B. H. Chae & J. Y. Lee. (2017). Analysis of major research trends in artificial intelligence through analysis of thesis data. Journal of Digital Convergence, 15(5), 225-233. doi: 10.14400/JDC.2017.15.5.225
  18. J. S. Chong., D. S. Kim., H. J. Lee & J. W. Kim. (2019). A study on the development trend of artificial intelligence using text mining technique: Focused on open source software projects on Github. Journal of Intelligence and Information Systems, 25(1), 1-19. DOI: 10.13088/jiis.2019.25.1.001
  19. N. K. Jang & M. J. Kim. (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
  20. H. J. Seo., Y. H. Choi., S. T. Oh & K. H. Lee. (2019). Keyword networks in RJCC research: A co-word analysis and clustering. The Research Journal of the Costume Culture, 27(3), 193-205. DOI: 10.29049/rjcc.2019.27.3.193
  21. H. T. Kim. (2017). Access to digital transformation. Seoul: The Federation of Korean Information Industries.
  22. W. Y. Lee. (2010). A study of the technical tendency augmented reality and the application of fashion industry. Journal of the Korean Society Design Culture, 16(2), 367-377.
  23. J. H. Lee & E. H. Lee. (2011). Augmented reality as an emotional communication media on fashion communication. Journal of Korea Design Forum, 32, 7-20. https://doi.org/10.21326/ksdt.2011..32.001
  24. D. I. Lee & S. H. Choi. (2011). The usefulness of product display of online store by the product type of usage situation: Focusing on the moderate effect of the product portability. Journal of Channel and Retailing, 16(2), 1-24.
  25. Y. H. Choi & K. H. Lee. (2020). Analysis of football fans' uniform consumption: Before and after Son Heung-Min's transfer to Tottenham Hotspur FC. Journal of Intelligence and Information Systems, 26(3), 91-108. DOI: 10.13088/jiis.2020.26.3.091
  26. Y. H. Kim. (2013). Social Network Analysis. Seoul: Pakyoungsa.
  27. D. Santamarina., A. Bhattarai & K. Uhrmacher. (2020, May 8). The iconic brands that could disappear because of coronavirus. The Washington Post. https://www.washingtonpost.com/business/2020/04/29/which-iconic-brands-could-disappear-because-coronavirus/?arc404=true
  28. Y. H. Choi & K. H. Lee. (2020). Changes in consumer perception of fashion products in a pandemic: Effects of COVID-19 spead. The Research Journal of the Costume Culture, 28(3), 285-298. DOI: 10.29049/rjcc.2020.28.3.285