• 제목/요약/키워드: 의류추천

검색결과 66건 처리시간 0.019초

패션점포 내 모바일 제품추천 서비스에 대한 소비자의 정보제공의도와 협력의도 (Consumers' Willingness to Provide Information and Cooperation Intention in the Use of Mobile Product Recommendation Services for Fashion Stores)

  • 이현화;문희강
    • 한국의류학회지
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    • 제37권8호
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    • pp.1139-1154
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    • 2013
  • This study examined the effects of consumers' usefulness and the hedonic perception of their willingness to provide information and cooperation intention in the use of location-context based mobile product recommendation services for fashion stores. We examined the influence of consumers' beliefs regarding marketer's information practices on their perceptions of provided services. In addition, the moderating effects of consumers' epistemic curiosity and information control level were investigated. A total of 400 smartphone users were included as participants for the present study. The results showed that consumers who perceived information services as more hedonic and useful are more likely to provide personal information and cooperate with marketers. The findings of the study suggest that fashion retailers who plan to introduce mobile product recommendation services should pay attention to the hedonic aspects of the services. In addition, the effects of usefulness and hedonic perception of the two dependent variables were different according to the level of epistemic curiosity and information control.

온라인 패션쇼핑몰의 개인 상품 추천서비스가 인지적 태도와 감정적 애착을 통해 서비스 사용행동에 미치는 영향 (The Effect of Personalized Product Recommendation Service of Online Fashion Shopping Mall on Service Use Behaviors through Cognitive Attitude and Emotional Attachment)

  • 최미영
    • 한국의류산업학회지
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    • 제23권5호
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    • pp.586-597
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    • 2021
  • Personalized product recommendation service is receiving attention as a new marketing strategy while supporting consumer information search and purchasing decisions. This study attempted to verify the effect of self-reference on service use behavior through the dual path of cognitive attitude and emotional attachment. Using convenience sampling, an online survey was conducted with 324 women who were in their 20s and 30s. After collecting and compiling the survey data, the reliability and validity of variables constituting the conceptual research model were verified through confirmatory factor analysis using AMOS 22.0. Next, the significance of sequentially mediated pathways was verified using Process 3.5 Model 80. The results showed that self-referencing not only significantly affects service use intention by simply mediating cognitive attitudes but also sequentially mediates cognitive attitudes and additional information search. Furthermore, self-referencing was significant as an indirect path to service use intention by mediating additional information search. However, in the path mediated by emotional attachment, self-referencing was considered as a simple mediated path leading to service usage intention. These results indicate a dual path in the psychological mechanism, through cognitive and emotional evaluation, that prompts consumer behavioral responses to the personalized product information provided in the shopping process.

온라인 추천 상품의 제시방법이 웹사이트 이용의도에 미치는 영향 -심적 시뮬레이션의 매개효과를 중심으로- (The Effect of Recommended Product Presentation on Consumers' Usage Intentions of a Website -Focusing on the Mediating Roles of Mental Simulation-)

  • 이하경;안서원
    • 한국의류학회지
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    • 제42권6호
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    • pp.977-987
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    • 2018
  • This study tests the effect of recommended product presentation on consumers' usage intentions of a website, mediated by mental simulation. Mental simulation refers to perceptual experience, a more automatic form of mental imagery, initiated by exposure to the representations of objects. This study expects that when compliments of clothes (coordination items) are vertically presented online, consumers are likely to feel as if they wear the outfits due to the activation of mental simulation. The survey was conducted on 147 women in an age group between 20 and 40 years in a panel of an online survey firm. Data are analyzed using exploratory factor analysis and bootstrapping analysis by SPSS 20.0. The results show that when compliments (vs. substitutes) of clothes are presented, participants perceive a greater mental simulation. When compliments of clothes are vertically presented (vs. horizontally presented), mental simulation is also highly driven. In addition, mental simulation mediates the effects of online product presentation on consumers' usage intentions of a website. The findings of this study contribute to marketing strategies of online retailers in terms of how product recommendation can be offered to consumers with more psychological benefits.

신체 정보를 활용한 사이즈 추천 서비스에 대한 소비자의 정보 프라이버시 염려와 정보 제공 의도 -프라이버시 계산 이론을 중심으로 (Effect of Consumers' Privacy Concerns on Information Disclosure Intentions for Size Recommendation Services Based on Body Information -Focusing on Privacy Calculus Theory)

  • 서상우
    • 한국의류학회지
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    • 제47권3호
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    • pp.442-458
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    • 2023
  • This study aimed to elucidate the information privacy attitudes and behaviors of users of size recommendation services based on body information. Focusing on the privacy calculus theory, the effects of information privacy concerns as well as perceived risk and benefit of information disclosure on information disclosure intention were analyzed. Consumers who used size recommendation services based on body information were surveyed from August 18 to 24, 2022. Analysis of the 251 responses collected revealed that information privacy concerns did not significantly affect information disclosure intention. Information privacy concerns had a positive effect on perceived privacy risk; however, perceived privacy risk had a negative effect on information disclosure intention, while perceived privacy benefit had a positive effect on information disclosure intention. Therefore, the privacy calculus theory confirms the existence of the privacy paradox, revealing perceived privacy benefit has a greater impact on information disclosure intention than perceived privacy risk.

사이즈 추천 서비스의 지속사용의도에 관한 연구 -기대일치모형의 적용과 친숙성의 조절효과를 중심으로- (A Study on the Continuance Intention of Size Recommendation Services -Focusing on the Application of Expectation-Confirmation Model and the Moderating Effect of Familiarity-)

  • 서상우
    • 한국의류학회지
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    • 제48권2호
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    • pp.350-366
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    • 2024
  • This study aimed to clarify the continuance intention of users of size recommendation services. The expectation-confirmation model framed the analysis of the 180 data points collected. The analysis determined the mediating effects of perceived usefulness and satisfaction on the relationship between expectation-confirmation and continuance intention. The moderated mediation effect of familiarity was also analyzed, and a path analysis was conducted using PROCESS macro. Results showed that expectation-confirmation had a significant effect on perceived usefulness, satisfaction, and continuance intention. Findings indicated that perceived usefulness affected satisfaction and continuance intention and confirmed that satisfaction affected continuance intention. In the relationship between expectation-confirmation and continuance intention, mediation analysis verified the mediation and double mediation of perceived usefulness and satisfaction. In the group with an above-average familiarity value, moderation analysis confirmed a moderating effect between perceived usefulness and satisfaction. Above-average familiarity values also confirmed that the moderating effect on continuance intention was significant.

신체정보 기반 사이즈 추천서비스에 대한 소비자 평가가 소비자 반응에 미치는 영향과 정보탐색정도의 조절효과 (The Effect of Consumer Evaluations of Size Recommendation Services Based on Body Information on Consumer Responses and the Moderating Effect of the Level of Information Search)

  • 서상우
    • 한국의류학회지
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    • 제48권3호
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    • pp.485-500
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    • 2024
  • This study was conducted to examine the effects of consumer evaluations on size recommendation services based on body information on consumer responses and the moderating effect of the level of information search. To analyze the research model, a total of 200 data were collected from August 18 to 24, 2022, targeting consumers who had experience with using size recommendation services based on body information. As a result of the research model analysis, it was confirmed that the compatibility, reliability, and convenience of the size recommendation services based on body information influenced attitude, which, in turn, influenced usage intention. In addition, In the case of the group subject to a low level of information search, the path through which compatibility and reliability influenced attitude was significant, but that of convenience was not. In the group featuring a high level of information search, the path through which reliability and convenience influenced attitude was significant, but that of compatibility was not. This study is meaningful in that it expanded research related to size recommendation services to the field of consumer behavior.

멀티 코디 어플리케이션 (Multi Codination Application)

  • 김기훈;김희정;한지원;오용철
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2011년도 추계학술발표대회
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    • pp.1538-1541
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    • 2011
  • 최근 스마트폰 시장의 발전과 그에 따라 안드로이드, iOS 운영체제 별로 각각 어플리케이션 개발에 열을 올리고 있다. 또한 요즘 의류 관련 쇼핑몰이나 개인의류 사업이 증가하여 의류에 관한 관심 또한 높아지게 되고 그에 따라 의복을 중시하고 옷을 고르는데 많은 시간을 소요하곤 한다. 바쁜 직장인, 학생을 위해 기존의 웹이나 프로그램들이 대신해 주는 역할도 한다. 멀티 코디 어플리케이션은 스마트폰으로 날씨와 감성정보에 의해 자신이 가지고 있는 옷 중에서 입게 될 옷을 자동으로 추천 해주는 기능을 가지고 있다.

온라인 쇼핑의 데이터 융합 기반 사이즈 추천 서비스: 서비스 품질, 정보 신뢰, 고객 만족의 구매 의도에 대한 역할 (Size Recommendation Technology Convergence in e-Shopping: Roles of Service Quality Information Credibility and Satisfaction on Purchase Intention)

  • 김지은
    • 한국융합학회논문지
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    • 제12권7호
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    • pp.7-17
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    • 2021
  • 본 연구는 온라인 패션 리테일링에서 최근 이용이 증가하고 있는 데이터 융합 기반 사이즈 추천 테크놀로지 서비스 품질이 정보 신뢰와 만족 및 구매 의도에 미치는 영향을 검증하였다. 연구를 위한 설문은 아마존 미케니컬 터크에서 시행되었으며, 사이즈 추천 테크놀로지의 사용 경험이 없는 18세 이상 60세 이하의 미국 거주 여성을 대상으로 하였다. 이들은 설문에 제시된 링크를 클릭하여 특정 패션 온라인 리테일러의 웹페이지에서 사이즈 추천 테크놀로지를 경험한 뒤, 설문에 답하였다. 불성실한 응답을 제외한 213부를 SPSS 27.0과 Process Macro(모델 6번, 5,000 bootstrapping sample)를 이용하여 분석한 결과, 사이즈 추천 테크놀로지 서비스 품질의 하위차원은 반응성과 사용 편의성으로 나타났으며, 두 하위차원은 모두 정보 신뢰와 만족을 매개로 하여 구매 의도에 영향을 미치고 있는 것으로 나타났다. 본 연구는 이와 같은 결과를 바탕으로 사이즈 추천 테크놀로지의 상용화를 위한 전략을 제언하였다.

개인 맞춤형 추천모듈을 위한 전신 신체사이즈 추출 (Extraction of full body size parameters for personalized recommendation module)

  • 박용희;진성아
    • 한국산학기술학회논문지
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    • 제11권12호
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    • pp.5113-5119
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    • 2010
  • 인체측정학(Anthropometry)은 자동차, 가전제품, 의료기기 및 스포츠 용품 등 다양한 분야에서 소비자의 만족도와 사용 효율성을 최적화하기 위해 조사되고 연구되어 왔다. 하지만 아직까지 인체 측정 방식은 계측자를 이용한 직접측정 또는 스캐너나 디지털 측정기 등 고가의 장치에 의존적인 방법에서 벗어나지 못하고 있다. 따라서 본 연구는 사진으로부터 신체인식 알고리즘을 이용하여 신체사이즈를 자동으로 추출하고, 의류추천 및 자전거 피팅사이즈 서비스 등에 활용가능성을 제시한다. 이를 위해 Haar-like features와 AdaBoost 알고리즘을 이용하여 빠른 속도와 높은 정확도로 영상콘텐츠 내에서 신체 영역을 검출한다. 이후 AAM(Active Appearance Model)을 이용하여 특징점을 검출하고 도출된 측정치에 최적화된 상품을 추천하는 지능형 모듈 시스템을 구현하고 성능평가를 제시한다.

패션 추천서비스 알고리즘에서 상품유형과 속성 조합의 영향 (Influence of product category and features on fashion recommendation service algorithm)

  • 최지윤;이규혜
    • 한국의상디자인학회지
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    • 제24권2호
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    • pp.59-72
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    • 2022
  • The online fashion market in the 21st century has shown rapid growth. Against this backdrop, using consumer activity data to provide customized customer services has emerged as a viable business model that draws attention. Algorithm-based personalized recommendation services are a good example. But their application in fashion products has clear limitations. It is not easy to identify consumers' perceptions of the attributes of fashion, which are various, hard to define, and very sensitive to trends. So there is a need to compile data on consumers' underlying awareness and to carry out defined research to increase the utilization of such services in the fashion industry and further engage consumers. This research aims to classify the attributes and types of fashion products and to identify consumers' perceptions of a given situation where a recommendation service is offered. To find out consumers' perceptions of and satisfaction with recommendation services, an online and mobile survey was conducted on women in their 20s and 30s, a group that uses recommendation services frequently. A total of 455 responses were used for analysis. SPSS 28.0 was used, combined with Conjoint Analysis and multiple regression, to analyze data. The study results could provide insights into a better understanding of recommendation services and be used as basic data for companies to identify consumers' preferences and draw up a detailed strategy for market segmentation.