• 한국의류산업학회지
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• 제14권6호
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• pp.941-951
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• 2012

As smartphones permeate the consumer lifestyle, branded application and mobile shopping have also received increased attention as an important marketing channel. This study identifies the general information about the use of smartphones, attitudes toward fashion applications, and mobile shopping intentions for smartphone users. Focus group interviews were conducted and 22 interviewees participated. The age of the participants ranged from 21 to 45 years old (55% were females). When examining the motivation to adopt a smartphone, respondents presented the comparable characteristics of early adopters and late adopters according to the time of adoption. Most respondents over the age of 30 showed some troubles to use a smartphone; however, participants in their 20s tended to enjoy exploring the new technology. More than half of respondents were aware of fashion applications, but were dissatisfied with fashion apps and used them infrequently. Respondents pointed out that fashion related apps were not too practical because they were not updated regularly, provided only limited information, and focused on brand promotions. In order to increase the intention to adopt mobile shopping, the price and payment security system needs to be considered. This was an exploratory study to identify the possibility of fashion branded apps as a major distribution channel. The findings of this study provide fundamental information to formulate marketing strategies for fashion businesses that have developed fashion apps.

• 복식문화연구
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• 제27권6호
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• pp.615-631
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• 2019

Smart healthcare clothing combines IoT, new technology, and clothing construction to perform specific care functions, and its utility has been expanding rapidly within aging and diversified societies. However, the related market remains at an early stage of development due to limited regulation, lack of consumer awareness, and the need for not only technical development but promotion plans for potential users. This paper aims to analyze factors influencing purchase intention for smart healthcare clothing with biosignal monitoring, including variables in the Technology Acceptance Model (TAM), clothing attributes, health-related lifestyle factors, and fashion innovativeness. A survey was conducted on a sample of 300 males and 300 females ranging in age from 20 to 50 years, and data were analyzed using SPSS 21.0. The results show that perceived usefulness, perceived aesthetic attributes, health responsibility, and fashion innovativeness were overall significant predictors of using smart healthcare clothing. Additionally, perceived ease of use and physical activity in the male subsample, and perceived compatibility within the female group, also had significant effects. Furthermore, age was a determining factor; for subjects in the 30s age group, perceived usefulness, compatibility, and health responsibility had significant positive associations. The results of this study can provide basic guidelines for designing merchandising plans to expand user acceptance of smart healthcare clothing.

• 패션비즈니스
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• 제23권1호
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• pp.1-13
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• 2019

This study aimed to analyze the preference, the factors of benefits sought, and the difference of benefits sought for smart clothing based on demographic characteristics. This survey study used questionnaire. The subjects of the survey consisted of men and women with ages ranging from twenty to fifty years old, who were living in Gyeongnam region. For the collected data analysis, Factor analysis, t-test, ANOVA, and Duncan multiple range tests were used by SPSS 23. The results obtained were as follows. The different analysis results for smart clothing based on demographic characteristics showed a significant difference with respect to marital status, age, monthly income, and occupation, but showed an insignificant difference with respect to gender. The factors of benefits sought for smart clothing were extracted from five factors-pursuit; image innovation and improvement, pursuit of healthcare, pursuit of body protection, pursuit of amusement and pleasure, and pursuit of hi-tech function. The different analysis results of smart clothing according to demographic characteristics showed a significant difference for pursuit of healthcare only with respect to gender, for pursuit of image innovation and improvement, healthcare, amusement and pleasure, and hi-tech function with respect to marital status, for pursuit of image innovation and improvement, healthcare, amusement and pleasure, and hi-tech function with respect to age, for pursuit of healthcare and body protection with respect to monthly income, and for all five factors with respect to occupation.

• 한국의상디자인학회지
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• 제21권4호
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• pp.181-194
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• 2019

The purpose of this study is to analyze the problems associated with the domestic fashion sewing industry and suggest solutions for re-development. The research methods are a content analysis of literature, including articles and reports, and interviewing practitioners who are in charge of the fashion industry. The problems of the domestic fashion sewing industry are as follows. 1. Weakness in price competitiveness and a lack of work. 2. Aging of workers and difficulty securing new workers. 3. The age of the production facilities and the lack of manpower required for mass production. 4. Unrealistically low cost of labor due to over-competition considering the lack of work.5. The prevalence of illegal label grinding. The solutions to the problems listed above are as follows. 1. Establishment of a win-win effort between fashion brands and sewing companies. 2. Allow systematic education, support, and development of a meister system for fostering sewing manpower. 3. Undertake efforts to improve the sewing work environment. 4. Establishment of the system for realizing the actual cost of labor. 5. Establishment of a quota system to secure domestic sewing production. 6. Construction of Smart DB to connect work orders. 7. Construction of a smart factory using technology such as automated systems of production suitable for the 4th Industrial Age. 8. Enforcement of specialized strategies to encourage fashion sewing companies, not only Seoul but also in other urban areas.

• 패션비즈니스
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• 제22권1호
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• pp.41-55
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• 2018

The purpose of this study was to investigate the trends of product design for textile convergence wearable smart textile fashion products according to college students' fashion life style. In this study, we used information obtained from a questionnaire issued to 201 female college students who were 20 years old for the final analysis. The questionnaires were to classify female college students groups according to the fashion life style, to examine characteristics, needs and wants of each group. The survey on the tendency of wearable smart textiles consisted of 22 items about concept and type of smart clothing product, functional material and intelligent material, recognition, preference, purchase intention, purchase factor and brand preference tendency. A total of 201 samples were analyzed by factor analysis, cluster analysis, ANOVA, crosstabs and $x^2-test$ using SPSS package program. 'brand preference oriented type was found to be interested in 'wearable' smart clothing product with monitoring function of bio-signal' and 'high functional fiber and textile product', but the credibility of 'smart clothes that can be worn and smart textile products to be useful in modern life' was low. 'fashionable individuality oriented' type showed interest in 'smart clothing and smart product', 'intelligent fiber' and 'wearable smart clothing product with monitoring function of bio-signal', but the preferences of 'light emitting fiber products' was low. 'practically purchasing-oriented' type was very interested in 'high-functional fiber and its textile products', but had inadequate knowledge on 'smart clothing and smart textile product' and showed low interest. Despite the fact that 'wearable smart clothing and smart textile products' are expensive, they were willing to purchase considering practicality and sophisticated style.

• 한국정보통신학회논문지
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• 제21권2호
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• pp.373-378
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• 2017

온라인 쇼핑 시장이 성장하는 가운데 소비자의 구매 프로세스는 온 오프라인의 경계 없이 복잡해졌고, 지능적인 맞춤형 서비스를 원하는 스마트 컨슈머가 등장하였다. 변화하는 소비자 및 소비 환경에 따라 각 관련 분야의 기업들은 다양한 옴니채널과 O2O 서비스를 제공하고 있으나 패션업계에서의 대응은 많이 늦은 편이다. 그리고 최근에 사물인터넷 환경도 표준화 기반 오픈 플렛폼으로 변화하고 있으며 사물의 유형에 따른 지능적인 서비스의 다양화가 요구되고 있다. 본 논문 에서는 패션업계에 적합한 스마트 피팅 디스플레이를 활용한 패션 O2O 시스템을 제안한다. 제안하는 시스템은 오프라인 매장에서 사용자가 수행한 피팅에 관한 정보를 데이터베이스화하여 사용자에게 제공하며 오프라인에서 수행한 사용자의 활동들을 온라인에서도 지원함으로써, 사용자의 구매활동을 지속적으로 유지, 관리할 수 있도록 한다. 아울러, 매장관리시스템 및 배송시스템의 정보 연계를 통해 고객 중심의 지능적인 피팅 서비스가 가능할 것으로 기대한다.

• 한국의류산업학회지
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• 제23권6호
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• pp.799-809
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• 2021

This study aimed to grasp the perceptions and trends in fashion platforms and fashion smart factories using big data analysis. As a research method, big data analysis, fashion platform, and smart factory were identified through literature and prior studies, and text mining analysis and network analysis were performed after collecting text from the web environment between April 2019 and April 2021. After data purification with Textom, the words of fashion platform (1,0591 pieces) and fashion smart factory (9750 pieces) were used for analysis. Key words were derived, the frequency of appearance was calculated, and the results were visualized in word cloud and N-gram. The top 70 words by frequency of appearance were used to generate a matrix, structural equivalence analysis was performed, and the results were displayed using network visualization and dendrograms. The collected data revealed that smart factory had high social issues, but consumer interest and academic research were insufficient, and the amount and frequency of related words on the fashion platform were both high. As a result of structural equalization analysis, it was found that fashion platforms with strong connectivity between clusters are creating new competitiveness with service platforms that add sharing, manufacturing, and curation functions, and fashion smart factories can expect future value to grow together, according to digital technology innovation and platforms. This study can serve as a foundation for future research topics related to fashion platforms and smart factories.

• 사물인터넷융복합논문지
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• 제10권1호
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• pp.59-68
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• 2024

중국의 거대한 인구와 산업 다양화는 IoT에 대한 수요 증가를 견인하였으며, IoT기술 발전은 스마트 쇼핑을 포함한 개인 및 가정생활의 모든 측면을 변화시키고 있는 사회환경 속에서 본 연구는 중국 창춘시(长春市)에 거주하는 여대생의 패션니즈를 충족하고, 중국 패션제품 라이브커머스의 서비스품질 개선을 통해 패션제품 산업의 발전을 촉진할 수 있는 방법모색을 목표로 하여 연구하였다. 분석 결과는 다음과 같다. 첫째, 중국 패션제품 라이브커머스의 서비스품질 특성은 고객 만족에 긍정적인 영향을 미쳤다. 둘째, 중국 패션제품 라이브커머스의 서비스품질 특성은 재사용 의도에 긍정적인 영향을 미쳤다. 셋째, 고객 만족도는 재사용 의도에 긍정적인 영향을 미쳤다. 이러한 결과로 볼 때, 라이브커머스의 서비스품질을 개선하면 제품 판매를 직접적으로 촉진하고 직접적인 경제적 이익을 창출할 수 있다고 판단할 수 있다. 또한 연구 결과인 패션제품 라이브커머스의 서비스품질이 고객만족과 재사용 의도에 미치는 것을 토대로 지역별, 타깃별 라이브커머스 플랫폼 마케팅 전략수립에 유용한 정보제공이 될 것으로 판단한다.

• 패션비즈니스
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• 제26권5호
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• pp.91-104
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• 2022

In this study, a cycling smart wear for measuring cycling posture and motion was developed using a three-dimensional motion analysis camera and an IMU inertial sensor. Results were compared according to parts to derive the optimal smart device attachment location, enabling correct posture measurement and cycle motion analysis to design a pattern. Conclusions were as follows: 1) 'S-T8' > 'S-T10' > 'S-L4' was the most significant area for each lumbar spine using a 3D motion analysis system with representative posture change (90°, 60°, 30°) to derive incisions and size specifications; 2) the part with the smallest relative angle change among significant section reference points during pattern design was applied as a reference point for attaching a cycling smart device to secure detachable safety of the device. Optimal locations for attaching the cycling device were the "S-L4" hip bone (Sacrum) and lumbar spine No. 4 (Lumbar 4^th); 3) the most suitable sensor attachment location for monitoring knee induction-abduction was the anatomical location of the rectus femoris; 4) a cycling smart wear pattern was developed without incision in the part where the sensor and electrode passed. The wearing was confirmed with 3D CLO. This study aims to provide basic research on exercise analysis smart wear, to expand the smart cycling area that could only be realized with smart devices and smart watches attached to current cycles, and to provide an opportunity to commercialize it as cycling smart wear.

• 패션비즈니스
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• 제25권5호
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• pp.88-98
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• 2021

In this study, the characteristics of digital anthropometric methods were determined with case studies. These methods were broadly classified into two categories: non-wearable and wearable. Then, these categories were further classified into four types: 3D Scanning, mobile app, smart clothing, and smart tool Among the non-wearable types, the "3D scanning" technique was based on the use of 3D hardware equipment. With this technique, the body shape was measured and the internal body information was obtained. Therefore, it is used in fields of healthcare and fitness. Among the wearable types, "Smart clothing" involves a special clothing that measures human body and a smartphone application. Both the components are linked to a fashion platform, which is based on the measured sizes that help shoppers. The "Smart tool" has the characteristic of measuring only with smart tools and smartphone applications; it does not involve the measurement of images. The common advantage of digital anthropometric methods are as follows: they reduce the time and cost of measurement by enabling self-measurement. Moreover, simple measurements are used to determine the size of anthropometry. Thereafter, it accumulates this data to track the continuous changes in size. From an industrial point of view, digital anthropometric technology should be used to increase sales. The on-demand market can be expanded as global consumers would throng the Korean fashion market. For the consumer, an avatar should be created to fit the user's size. This would provide a fun experience to the user.