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논문 기본 정보

자료유형
학술저널
저자정보
선준호 (한양대학교) 박선미 (건국대학교) 이규혜 (한양대학교)
저널정보
한국복식학회 복식 복식 제70권 제3호(통권 제226호)
발행연도
2020.6
수록면
61 - 75 (15page)
DOI
10.7233/jksc.2020.70.3.061

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초록· 키워드

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Given the increasing social interest in environmental issues, fashion design based on up-cycling is drawing attention as a sustainable, pro-environment alternative to new product creation. However, consumers in South Korea tend to perceive up-cycled products unfavorably. This study conducted big data analysis to understand consumer perceptions and desires regarding up-cycling to promote the development of consumer-oriented up-cycled fashion products. First, we collected and refined unstructured textual data on consumer opinions. Next, we conducted a survey to classify the refined data. A primary survey with a group of experts was used to remove unnecessary keywords, while a secondary survey administered to consumers helped to classify the resulting 54 keywords into five categories. We performed word cloud analysis on the classified unstructured data using NodeXL and R 3.6.1. For the purpose of product development, we used a combination of 34 keywords based on degree centrality from the “Design and Production Method,” “Material,” and “Item” categories(out of five total categories). Originality(scarcity), Temporality(historicity), and Eco-Friendliness(environmental ethics), which are attributes of up-cycling design, were reflected in the product, which was then developed with an emphasis on eco-friendly production processes and familiarity with products. Two fashion products were developed: an eco-bag produced by weaving cut waste yarn and waste clothing and a shirt produced by weaving waste leather. The study’s process and results propose a method for developing consumer-oriented up-cycled fashion products that can mitigate social problems and promote an eco-friendly product consumption culture while contributing to the use of big data in the fashion design industry.

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ABSTRACT
Ⅰ. 서론
Ⅱ. 이론적 배경
Ⅲ. 연구방법
Ⅳ. 연구결과
Ⅴ. 결론
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UCI(KEPA) : I410-ECN-0101-2020-381-000896395