비정형 데이터 마이닝을 이용한 패션제품 개발 -업사이클링에 대한 소비자 의견을 중심으로-Fashion Product Development with Unstructured Data Mining -Applying Consumer Responses to Up-Cycling-
- Other Titles
- Fashion Product Development with Unstructured Data Mining -Applying Consumer Responses to Up-Cycling-
- Authors
- 선준호; 박선미; 이규혜
- Issue Date
- Jun-2020
- Publisher
- 한국복식학회
- Keywords
- consumer centered product development; consumer opinion; eco-friendly product design; unstructured data; up-cycling fashion products; 소비자 중심 제품 개발; 소비자 의견; 친환경 제품 디자인; 비정형 데이터; 업사이클링 패션제품
- Citation
- 복식, v.70, no.3, pp.61 - 75
- Indexed
- KCI
- Journal Title
- 복식
- Volume
- 70
- Number
- 3
- Start Page
- 61
- End Page
- 75
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/145535
- DOI
- 10.7233/jksc.2020.70.3.061
- ISSN
- 1229-6880
- Abstract
- 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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