How Does Digital Technology Inspire Global Fashion Design Trends? Big Data Analysis on Design Elements

Author:

Lee Nahyun1ORCID,Suh Sungeun2ORCID

Affiliation:

1. Department of Fashion and Textiles, Seoul National University, Seoul 08826, Republic of Korea

2. Department of Fashion Design & Merchandising, College of Social Science, Gachon University, Seongnam-Si, Gyeonggi-Do 13120, Republic of Korea

Abstract

Digital technology has changed every process of the fashion industry significantly. Using big data analysis methods such as text-mining, network, CONCOR, and content analyses, this study aims to understand the impact of digital technology trends from the fashion design perspective. The influence of digital technology on fashion design elements (e.g., color, print and graphic, textiles, and style and details) was evident through various keywords related to digital technology, humans, and nature, and the relationships between these keywords were confirmed. The analysis of the implicit meanings and directions of the derived keywords resulted in four clusters: (1) human- and nature-oriented design in the digital world as a new reality; (2) new textiles reflecting digital technology; (3) sustainable design technology; and (4) new utility fashion in the digital space. This study proposed a new design research methodology in which big data were incorporated and could be applied to educational curricula, allowing students to derive practical design elements through big data analysis and serving as a guide for planning and developing technology-inspired designs. Practically, it provided specific information on the direction of digital-technology-inspired fashion design trends, which could assist fashion designers and aspiring entrepreneurs in planning.

Funder

Gachon University research

Publisher

MDPI AG

Reference51 articles.

1. Team YouCam (2024, April 17). 2024 Fashion Tech Guide: Generative AI, AR Virtual Fitting, 3D Sampling, Omnichannel Strategy. Available online: https://www.perfectcorp.com/ko/business/blog/general/fashion-tech-the-complete-guide.

2. Mcdowell, M. (2024, April 17). Digital fashion is alive and well for Gen Z. Available online: https://www.voguebusiness.com/story/technology/digital-fashion-is-alive-and-well-for-gen-z.

3. Perspectives on fashion technology during the pandemic era: A mixed methods approach using text mining and content analysis;Kim;Fashion Text. Res. J.,2022

4. Big data and digital design models for fashion design;Zhao;J. Eng. Fibers Fabrics,2021

5. Digital 3D fashion designers: Cases of atacac and the fabricant;Fashion Theory,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3