This special issue will carry revised and extended versions of selected papers presented at the 2020 International Conference on Clothing and Textiles.
In the hyper-connected future, people, things, space, and everything will be networked and communicated, opening a new challenge and chance for every sector in the clothing and textile industry. The center of the industry moves quickly from product to service, from hardware to software, from functionality to information. What disruptive innovation will the future of the textile, clothing, and fashion industries experience in a smart-life space? How will higher education and research paradigm change in response to this?
Minimal research addresses this phenomenon and a robust body of knowledge are lacking to frame understanding. We particularly welcome submissions on topics addressing interdisciplinary knowledge of innovations using competencies in technology across all delivery channels, technologies, and market spaces for the clothing and textile industry.
Topics for this special issue may include (but are not limited to):
- Design/manufacturing process innovation
- Change in clothing culture and aesthetics
- Advancement in shopping/sales/personalization service
- Innovation in higher education of clothing and textiles academia
- Big data analysis, AI, 3D printing, IoT, robotics, VR/AR for fashion business
- Sustainability, high-functional fibers/textiles, high-performance fibers/textiles
- Smart textiles, wearables, sensing human body signal
Yuri Lee, Seoul National University (Korea), firstname.lastname@example.org
Submissions will also benefit from the usual advantages of open access publication:
Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient.
High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article.
No space constraints: Publishing online means unlimited space for figures, extensive data and video footage.
Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed.