• Title/Summary/Keyword: 환경지속가능 패션제품

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Effect of Sustainable Fashion Product Characteristics on Consumer Purchase Intention - Focusing on Chinese Student in Hubei Province of China - (환경 지속가능한 패션제품 특성이 소비자 구매의도에 미치는 영향 - 중국 후베이성 지역 대학생 중심으로 -)

  • Liu, Ying;Lee, Young-Sook;Lee, Ji-Eun
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.198-210
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    • 2022
  • Recently, research on environmental sustainable fashion design has been conducted, but various studies on preference and purchase intention for environmental sustainable fashion products have not yet been conducted. Therefore, this paper studied the effect of the characteristics of environmental sustainable fashion products on purchase intention with preference as a mediating effect. This study focused on Generation MZ attending universities in Hubei Province, China, and a total of 350 online surveys were conducted from August 15, 2021 to August 20, 2021. Among them, 335 copies were used for the final analysis, excluding invalid questionnaires. SPSS26 and AMOS26 were used for analysis. First, the results of the analysis showed that environmental protection characteristics among the characteristics of environmental sustainable fashion products had a positive effect on preference. At the same time, environmental sustainability had a positive effect on purchase intention. Second, environmental protection and sustainability have a significant positive effect on preference. At the same time, environmental sustainability has a significant positive effect on purchase intention. Third, preference plays a significant mediating role in the relationship between the purchase intention of environmental protection.

The Effect of Empathy Value of Chinese Female University Students on Affection with Sustainable Fashion Products on Affection and Purchase Intention (중국 여대생의 지속가능한 패션제품에 대한 공감가치가 호감도와 구매의사에 미치는 영향)

  • Yi-Fei Wu;Young-Sook Lee
    • Journal of Internet of Things and Convergence
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    • v.10 no.3
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    • pp.35-48
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    • 2024
  • This study analyzed the value empathy of environmentally sustainable fashion products, encompassing environmental, economic, and social values, drawing from existing literature. We sought to verify the relationship between empathic value and the likability and purchase intention towards these products. To validate these relationships, we formulated research hypotheses and conducted an online survey targeting female college students residing in Guangzhou, Guangdong Province, China, who have experience purchasing environmentally sustainable fashion products. The survey was conducted from August 10th to August 20th, 2023, with a total distribution of 352 questionnaires. Among the collected responses, 313 valid responses were utilized for data analysis. The collected survey data underwent frequency analysis, exploratory factor analysis, reliability and validity analysis, correlation analysis, and multiple regression analysis using SPSS 26.0 software. The analysis yielded the following results. First, the empathy value of environmentally sustainable fashion products was classified into environmental protection values, economic values, and social values. Second, the economic and social values of environmentally sustainable fashion products were found to have a positive effect on favorability. Third, it was found that the environmental protection value and social value of environmentally sustainable fashion products had a positive effect on purchase intention. Fourth, it was found that Chinese female college students' favorability toward environmentally sustainable fashion products had a positive effect on their purchase intention. Based on these results, it is judged that companies need to emphasize the characteristics of products such as environmental protective value, economic value, and social value in order to promote consumers' purchase of environmentally sustainable fashion products. The purpose of this study is to help develop marketing strategies for environmentally sustainable fashion products by providing basic data, development ideas, and methods useful for environmentally sustainable fashion-related industries and companies by analyzing the relationship between empathy value, favorability, and purchase intention.

Good Design 2015 (지상전시 - 2015 우수디자인(GD)상품)

  • (사)한국포장협회
    • The monthly packaging world
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    • s.273
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    • pp.101-109
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    • 2016
  • 굿디자인(GOOD DESINE)이란 산업통상자원부가 주최하고 한국디자인진흥원의 주관 아래, 산업디자인진흥법에 의거하여 상품의 외관, 기능, 재료, 경제성 등을 종합적으로 심사하여 디자인의 우수성이 인정된 상품에 GOOD DESINE 마크를 부여하는 제도로 1985년부터 매년 시행해 오고 있다. GD마크 선정제란 우수한 디자인 상품개발을 장려하여 국가 경쟁력을 확보하고 국민 삶의 질 향상에 기여하는 것을 목표로 하고 있으며, 나아가 유니버설디자인, 서비스디자인, 전통시장, 산업단지 디자인을 고도화(우수디자인 선정, 장려 등)함으로써 사회적 문제해결과 지속가능한 창조경제를 실현하는데 그 의의가 있다. 선정 대상 품목으로는 제품디자인, 환경디자인, 소재표면처리디자인, 패션디자인, 포장디자인, 커뮤니케이션디자인, 건축디자인 패션디자인으로 대통령상 1점을 비롯해 국무총리상, 대상, 최우수상 등을 시상하고 있다. 굿디자인 상품은 향후 조달청이 시행하는 우수제품선정 및 물품구매 적격심사 시 우대되며, 중소기업청이 시행하는 수출유망중소기업지정 및 수출기업화 사업평가시 우대받을 수 있다. 마크사용에 있어 호주 디자인상(AIDA)과의 상호인증으로 마크 부착이 가능하다. 본 고에서는 2015년 우수디자인(GD)으로 선정된 제품 가운데 생활 포장 및 산업포장 부문 수상작들과 일부 선정된 제품들을 살펴본다.

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Comparison of physical materials using the 3D Clothing Simulation Z-weave program and its feasibility in the sustainable fashion industry (3D 의류 시뮬레이션 Z-weave 프로그램을 이용한 실물 소재 비교와 지속 가능한 패션 산업에서의 실현성)

  • Heeju Chae;Doeun Kim;Yoonji Shin
    • Smart Media Journal
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    • v.13 no.6
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    • pp.80-89
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    • 2024
  • This study aims not only to address environmental issues caused by indiscriminate fashion consumption, specifically in the context of Fast Fashion but also to find an alternative and a sustainable solution that is 'Upcycling' using the 3D clothing simulation program Z-weave. Upcycling products have limitations in that it is difficult to produce samples since finished products must be produced directly with limited materials and resources like waste clothes. To overcome these limitations, a 3D clothing simulation program is introduced to effectively utilize the limited resources of waste clothing. The purpose of this study is to confirm the similarity between a virtual fabric created through Z-weave and a real fabric, through this, to evaluate the possibility of application in the actual fashion industry. As a research method, surveys and interviews were conducted with related majors on virtual clothing created as similar as possible to actual clothing by adjusting the physical properties within the Z-weave program. This study attempted to describe the impact of digital technology on the fashion industry and how 3D clothing simulation programs can be used in sustainable fashion production.

Good Design in 2013 (2013년 우수디자인(GD))

  • (사)한국포장협회
    • The monthly packaging world
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    • s.246
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    • pp.44-57
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    • 2013
  • 우수디자인이라 불리는 굿디자인(GOOD DESIGN)은 산업디자인진흥법에 의거하여 상품의 외관, 기능, 재료, 경제성 등을 종합적으로 심사하여 디자인의 우수성이 인정된 상품에 마크를 부여하는 제도로 1985년부터 매년 시행하고 있다. GD마크 선정제란 우수한 디자인 상품을 선정, 장려함으로써 환경친화적 디자인개발을 유도하고 지속 가능한 녹색성장에 기여하고 상품의 디자인개발을 촉진하고 독창적이고 우수한 상품디자인을 개발, 상품의 경쟁력 강화를 통한 수출증대와 국민경제 발전에 기여하는데 목적이 있다. 또한 상품의 디자인 수준향상으로 국민의 다양한 욕구충족 및 국민생활의 질적 수준을 높이고 디자인에 대한 일반인의 인식 및 관심을 고취시킴으로써 산업디자인 발전을 촉진하는데 주력하고 있다. 굿디자인은 제품디자인, 환경디자인, 소재표면처리디자인, 패션디자인, 포장디자인, 커뮤니케이션디자인, 건축디자인, 패션디자인 부문으로 나누어 선정된다. 본 고에서는 2013년도 우수디자인(GD) 가운데 포장디자인 부문을 살펴보도록 한다.

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The Trends of Eco-Friendly Textiles Using Big Data from Newspaper Articles (신문기사 빅데이터를 활용한 친환경 섬유의 추이에 관한 연구)

  • Nam Beom Cho;Choong Kwon Lee
    • Smart Media Journal
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    • v.13 no.2
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    • pp.95-107
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    • 2024
  • The development of environmentally friendly products and services has become a trend, and the development and utilization of eco-friendly textiles with economic value is gaining attention as a new business model. Analyzing and identifying trends and developments in eco-friendly textiles can provide important information and insights for various stakeholders such as companies, governments, and consumers to help them achieve sustainable growth. For this study, we collected and analyzed data from newspaper articles mainly covering the textile and fashion sector from 2000 to June 2023. A total of 12,331 articles containing the keyword 'eco-friendly textiles' were collected, and after performing morphological analysis on the extracted data, Latent Dirichlet Allocation and Dynamic Topic Modeling analysis were performed to identify topics by year. The results of the study are expected to provide strategic guidance and insights for the sustainable development of the textile industry, thereby helping to promote the research, development, and commercialization of eco-friendly textiles.