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http://dx.doi.org/10.14400/JDC.2021.19.3.319

Research Trends and Knowledge Structure of Digital Transformation in Fashion  

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)
Publication Information
Journal of Digital Convergence / v.19, no.3, 2021 , pp. 319-329 More about this Journal
Abstract
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.
Keywords
Digital transformation; Research trend; Knowledge structure; Text mining; Network analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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