• 복식문화연구
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• 제21권2호
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• pp.272-286
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• 2013

Mass customization is a marketing strategy to meet consumer needs for variation and uniqueness of products. Although there are quite a few studies quantitatively investigated the options provided by mass customization process, scholarly work related to mass customization has provided mixed results on consumer perception of complexity and their responses. The purpose of the study is to derive the factors that influence consumer complexity perception in online apparel mass customization process and consumers' needs to enhance mass customization services. Data were collected by conducting focus group interviews of which 29 participations in 4 groups. The results of the study suggested that consumers perceived complexity through mass customization process due to too many choice options. However, the effect of number of options on respondents' complexity perception was different depending on consumer characteristics such as consumer expertise and fashion involvement, and the characteristics of consumer preference development. Shopping context such as shopping purpose is another moderating factor. This study also suggests that a variety of marketing strategies which can enhance mass customization services affect the relationship between the number of options and consumers' complexity perception. The findings of the study provide academic and managerial implications.

• 한국의류학회지
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• 제36권11호
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• pp.1222-1236
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• 2012

This study examined the effects of product recommendation services as an atmosphere for online mass customization shopping sites on consumers' cognitive and affective responses. We conducted a between-subject experimental study using a convenience sample of college students. A total of 196 participants provided usable responses for structural equation modeling analysis. The findings of the study support the S-O-R model for a product recommendation system as an element of the shopping environment with an influence on OMC product evaluations and arousal. The results showed that OMC product recommendation service positively affected cognitive and affective responses. The findings of the study suggest that OMC retailers might pay attention to the affective and cognitive responses of consumers through product recommendation services that can enhance product evaluations and OMC usage intentions.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 추계학술대회 논문집
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• pp.97-100
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• 2002

An e-catalog system provides whole product data and services by publishing newly updated information that connects PDM systems in an enterprise. With its capability to connect customers, suppliers, producers, distributors and downstream manufacturing activities, the e-catalog system can be applied to integrate e-business and provide immense business opportunities. In this paper we propose a framework focusing on constructing an efficient e-catalog system that can be used for online mass customization. The effectiveness of the proposed framework is validated with experimental results.

• Fashion, Industry and Education
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• 제16권1호
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• pp.1-18
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• 2018

The purpose of this study was to investigate the influence of consumers' regulatory focus on their perceived values of the product as well as shopping process, and willingness to invest resources for online mass-customized products. Data were collected using an online survey from 251 young adult consumers, particularly those who have prior purchase experience of mass-customized products. Interpretation of results indicated that consumers' promotion regulatory focus impacted their perceived values of the product (social, emotional, monetary, and epistemic but not performance), perceived values of the shopping process (hedonic and utilitarian), and willingness to invest more money, time and effort. However, as anticipated, prevention regulatory focus had no significant influence on the dependent variables. Researchers provide crucial implications for brands of online mass-customized products to segment their market based on regulatory orientation, as well as better cater to customer demands by positioning their products as offering benefits that specifically caters to the needs of such consumers.

• 한국전자거래학회지
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• 제19권1호
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• pp.119-129
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• 2014

전자상거래 시장에서 롱테일 경제가 출현함에 따라 80/20 룰로 알려진 파레토 법칙의 일반적인 적용에 의문이 제기되고 있다. 이러한 제품 집중도의 변화는 인터넷 인프라 기반기술 위에 구현된 대량맞춤(mass customization)에서 기인한다고 예측된다. 본 연구는 그루폰과 유사한 소셜 커머스 웹사이트로부터 얻은 실거래 정보를 실증 분석하여 제품 및 고객 집중도를 분석하였다. 분석 결과, 이전 전자상거래 연구와 같이 소셜 커머스에서도 파레토 법칙과 다른 롱테일 패턴이 나타났다. 더욱이 email 또는 SMS를 통한 홍보가 판매 집중도 패턴에 영향을 미치는 것으로 파악되었다. email과 SMS를 통한 홍보는 모두 소셜 커머스 쿠폰 판매를 증가시킬 것이라는 예상과는 달리, SMS 홍보는 쿠폰 전반적으로 판매를 증가시키나, 소량 판매 제품의 경우 email 홍보는 오히려 제품 판매를 감소시키는 결과를 보였다.

• 한국의류산업학회지
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• 제11권3호
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• pp.437-444
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• 2009

According to the activation of the fashion electronic commerce, this research investigated the merits and demerits and improvement plan of the 3D virtual try-on technology using the qualitative research method. This research was performed by interview with 70 evaluation group. The evaluation group of 3D virtual try-on was organized and the fit evaluation process by 3D human body scan and the 3D virtual try-on of the i-Fashion technology center were experienced. This study was performed by interview after the actual and virtual try-on about the casual shirt. The convenience and accuracy of measurement, usability in online shopping, body evaluation, complement of sizing system, and body shape management were discovered as merits. The requirement of high accuracy in sizing and avatar, limits of fabric expression, practical limitation by cost, vexatious of measurement garment, differences between real and virtual fittings, personal information leakage risk, and etc were pointed out as demerits. The mass customization, customized garment connected with medical service, humanized avatar, improved fitting report, entertainment, coordination, wardrobe manager were proposed as improvement plan.

• 한국의류산업학회지
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• 제14권4호
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• pp.614-628
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• 2012

The purpose of this study was to analyze research trends and make suggestions regarding the future of information technology (IT) in the fashion industry. In this study, 437 papers written regarding IT fashion from five major journals published between 2000 and 2011 were examined. The research areas were then organized by subject and keyword, and divided into 16 high-context categories. Two IT fashion maps were constructed, one from a fashion consumer's perspective, and the other based on the fashion industry's supply chain. This study identified important trends in IT fashion such as: 3D scanners, 3D digital renderings of the human form, 3D digital garments, smart garments, mass customization, production automation, online shopping, home shopping, online communities, e-commerce, digital media, virtual reality, e-tail, the digital generation, E-CRM, and education. Data from body scans was collected and applied to production, and research on smart textiles was also carried out. As for IT fashion's service areas, the majority of the research focused on online shopping or online communication. Additionally, research done on avatars and cyber space, and studies on social networking services are shown. The results of this study indicated that a new field of research has opened and that current research has been developing. Also, this study showed what is needed to expand and strengthen IT fashion.

• 패션비즈니스
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• 제7권6호
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• pp.85-91
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• 2003

Quick Response based Mass-Customization can be produced and distributed customized goods and services on mass basis in apparel e-business. Because consumers cannot touch and feel the apparel products in e-business, they tend to have the negative buying behavior. The purposes of this study were to analyze factors of texture image, and to investigate the differences of consumer sensibility on texture image of apparel products based on different marketing channels (on-line/off-line). Two types of questionnaires for on-line and off-line were used to assess consumer sensibility on apparel fabric. The 8 swatches were selected based on the previous literatures. 202 returned questionnaires for each type (on-line/off-line) were analyzed by t-test, mean and standard deviation with SPSS 10.0. The result of this study was showed that there were partially significant differences on consumer sensibility on texture image of apparel products between on-line and off-line. In case of corduroy, consumers perceived more high-class image under on-line than off-line. In case of taffeta, consumers perceived more thin and dense image under off-line (traditional marketing channel) than on-line (e-commerce). In case of denim, consumers perceived more thin and natural image under off-line than online. In case of organza, consumers perceived more natural image under on-line than off-line. In case of satin, consumers perceived more natural image under on-line than off-line. In case of chiffon, consumers perceived denser image under on-line than off-line. In case of velvet, consumers perceived thinner image, higher-class image, and more natural image of texture sensibility under on-line than off-line. In case of single jersey, consumers perceived higher-class image, and denser image of texture under on-line than off-line.

• 경영정보학연구
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• 제10권2호
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• pp.137-158
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• 2008

기업 경쟁력 강화의 중요한 이슈인 대량 개별화(mass-customization)의 실행을 위하여 통합 고객관계 관리 프로세스로서의 CRM(customer relationship management)에 대한 관심과 활용에 대한 필요성은 점점 더 높아지고 있다. 특히, 기존 고객들의 구매 정보를 기반으로 고객의 구매 패턴을 파악하고 의도를 예측하는 것은 오늘날 실질적인 판매 전략을 수립하는 마케팅 분야에서 상당히 큰 비중을 차지하고 있다. 고객의 구매의도 예측에는 대량의 데이터로부터 과거에 인지하지 못했던 의미 있고, 근거 있는 정보를 추출하는 데이터마이닝(datamining)이 주로 사용되고 있다. 기존의 구매의도 예측에 사용된 데이터마이닝 기법들은 주로 신경망(neural networks)과 로지스틱 회귀분석(logistic regression analysis)이었는데, 예측 정확성 및 모형 구축의 어려움으로 인한 다양한 문제점들이 제기되고 있는 실정이다. 따라서, 본 논문에서는 기존의 기법들이 가지고 있는 단점들을 개선하기 위하여 신경망과 로지스틱 회귀분석 외에 연관규칙(association rule), 연관성 매트릭스(association matrix), 의사결정 나무(decision tree), 베이지안 망(bayesian network), SVM(support vector machine) 기법들을 추가로 제안하였다. 본 연구의 목적은 고객의 특정 상품에 대한 구매의도 예측을 위하여 새로운 알고리즘을 제시하기보다는 기존의 다양한 데이터마이닝 기법들을 적용시켜 봄으로써, 가장 우수한 예측성과를 나타내는 기법을 발견하는 것이다. 연구에 사용된 자료는 기존의 연구에서는 적용되지 않았던 편의점의 영수증 데이터이다. 예측 목표상품은 카테고리화 된 '우유'와 '냉동식품'이며, 제안된 기법들의 신뢰성을 위하여 전체 데이터를 10개의 training과 test 셋으로 중복되지 않게 구분함과 동시에 10번의 교차 검증(cross validation)을 실시하였다. 실험 결과 SVM이 영수증 데이터를 이용한 고객의 특정 상품에 대한 구매의도 예측에서 가장 우수한 성과를 나타내는 것을 확인하였다.