• Title/Summary/Keyword: 의류판매

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The Effect of Wang-Hong Characteristics on Impulse Buying During Live Sale: Based on Women's Clothing Sales in China (왕홍의 판매 생방송 시청이 충동구매에 미치는 영향: 중국 의류 판매를 중심으로)

  • Liu, Xianya;Park, Jee Yun;Lee, Hye Eun
    • The Journal of the Korea Contents Association
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    • v.20 no.4
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    • pp.212-229
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    • 2020
  • 'Live + Sale' is actively promoted in China and 'Wang-Hong', also known as Chinese internet celebrities are dominating this format of marketing strategy recently. They introduce products to consumers through live broadcasts, promote online shopping, and frequently evoke impulsive buying. Under this context, it is worth focusing on what factors influence impulse buying during Wang-Hong's live broadcast. This study investigated the impact of Wang-Hong characteristics on impulse buying behavior when watching live sales. Also, the mediating role of flow experience and viewing satisfaction was explored. Furthermore, we expected that the different live broadcast circumstances could have a different impact on flow experience, viewing satisfaction, and impulse purchase. A total of 242 Chinese women who have experience of viewing live sales were recruited through a Chinese research platform. The results revealed that Wang-Hong's trustworthiness and attractiveness positively affected the viewer's impulse buying directly, and indirectly through flow experience and viewing satisfaction, whereas expertise did not have any impact on impulse purchase. However, there were no significant differences between the two live broadcast circumstances. This research can enhance understanding of the impulse buying process during Wang-Hong's live sale and help brands come up with effective influencer marketing strategies using live sales.

Regional Characteristics of Commodity Sales by Internet Shopping : A Case Study of G eshop (인터넷 쇼핑에 의한 상품판매의 지역적 특성 - G eshop의 경우 -)

  • 김영숙
    • Journal of the Korean Geographical Society
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    • v.38 no.5
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    • pp.769-785
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    • 2003
  • The regional distribution of the selling amount on the internet shopping is divided into urban areas and rural areas. In the urban areas, a large amount of selling and various commodity groups are purchased. In the rural areas, a small amount of selling simple clothing goods, home kitchen goods, and the others commodity groups are purchased. The regional distribution is considered dependent upon the size of population, the development degree of the education and service industry in the region, and the buying power of women in the 25 to 49 year group. This regional trend shows the difference of each population composition between urban and rural areas during the period of economic growth in our country affects internet shopping. Therefore consumer's limited purchase behavior is apparent in rural areas.

Sales Volume Prediction Model for Temperature Change using Big Data Analysis (빅데이터 분석을 이용한 기온 변화에 대한 판매량 예측 모델)

  • Back, Seung-Hoon;Oh, Ji-Yeon;Lee, Ji-Su;Hong, Jun-Ki;Hong, Sung-Chan
    • The Journal of Bigdata
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    • v.4 no.1
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    • pp.29-38
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    • 2019
  • In this paper, we propose a sales forecasting model that forecasts the sales volume of short sleeves and outerwear according to the temperature change by utilizing accumulated big data from the online shopping mall 'A' over the past five years to increase sales volume and efficient inventory management. The proposed model predicts sales of short sleeves and outerwear according to temperature changes in 2018 by analyzing sales volume of short sleeves and outerwear from 2014 to 2017. Using the proposed sales forecasting model, we compared the sales forecasts of 2018 with the actual sales volume and found that the error rates are ±1.5% and ±8% for short sleeve and outerwear respectively.

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Implementation of Secondhand Clothing Trading System with Deep Learning-Based Virtual Fitting Functionality (딥러닝 기반 가상 피팅 기능을 갖는 중고 의류 거래 시스템 구현)

  • Inhwan Jung;Kitae Hwang;Jae-Moon Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.1
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    • pp.17-22
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    • 2024
  • This paper introduces the implementation of a secondhand clothing trading system equipped with virtual fitting functionality based on deep learning. The proposed system provides users with the ability to visually try on secondhand clothing items online and assess their fit. To achieve this, it utilizes the Convolutional Neural Network (CNN) algorithm to create virtual representations of users considering their body shape and the design of the clothing. This enables buyers to pre-assess the fit of clothing items online before actually wearing them, thereby aiding in their purchase decisions. Additionally, sellers can present accurate clothing sizes and fits through the system, enhancing customer satisfaction. This paper delves into the CNN model's training process, system implementation, user feedback, and validates the effectiveness of the proposed system through experimental results.

Evaluation of VMD Sensibility according to Purchasing Psychological Steps and Weights (구매심리의 단계와 가중치에 따른 VMD 감성평가 -의류브랜드를 중심으로-)

  • Na, Young-Joo;Lee, Eun-Hee;Hwang, Jin-Sook;Koh, Seon-Ju
    • Science of Emotion and Sensibility
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    • v.10 no.2
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    • pp.187-198
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    • 2007
  • To improve VMD technology and suggest the comprehensive evaluation method for VMD, this study investigated and compared two methods of VMD evaluations; expert evaluation and questionnaire to consumers. We analyzed VMD factors of 4 stores with the same brand according to purchasing psychological steps of consumers at the purchasing point. The results are following: Customer Attraction and Purchase Stimulus by VMD showed higher scores in road shop than in department stores, while Put-on Imagination and Comparison Process by VMD showed higher scores in department stores than road shop. Visual Satisfaction and Shop Visit Satisfaction increased the purchasing desire of consumers. High-scored VMD shop evaluated by expert had high score in product purchasing intention of consumers. We found out that questionnaire method to consumers or their response is needed for evaluate VMD of shop in terms of analyze possibility of the related to their purchasing intention.

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The Consumer Acceptance of MP3-playing Clothing and Bio-Signal Sensing Clothing Considered in the Technology Acceptance Model (혁신기술수용모델의 관점에서 고찰한 MP3-playing 의류와 생체신호 센싱 의류의 수용도)

  • Chae, Jin-Mie;Cho, Hyun-Seung;Lee, Joo-Hyeon
    • Science of Emotion and Sensibility
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    • v.12 no.3
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    • pp.289-298
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    • 2009
  • An analysis was carried out for this study to figure out if there exists any differences in the model consumers accept for commercialized MP3-playing clothing and bio-signal sensing clothing. To analyze the differences of the structural variables of the products types, t-test was conducted with SPSS 15.0 package and multi-group analysis with AMOS 5.0 to find out the differences of each path goes with product types in structural equation model. In analytical results of effective sample of 557 copies of questionnaire, consumers' were highly aware of MP3-playing clothing in perceived ease of use, while they were aware relatively high of bio-signal sensing clothing in perceived usefulness, attitudes, consumer acceptance. The perceived value which was input to find out consumers awareness about sale price of commercialized products, was proven to do very important moderating role in forming consumers' attitudes and acceptance intention. Besides, consumers showed a difference in path in accepting model goes with product types. In bio-signal sensing clothing case, 'the perceived usefulness$\rightarrow$attitudes' path which was backed up in MP3-playing clothing was rejected, and 'perceived value$\rightarrow$attitudes' path appeared relatively high with moderating role of perceived value higher than MP3-playing clothing. Considering the results above, as the smart clothing is in the initiative commercialization stage while consumers were in the inquiry stage into awareness or information necessary in the course of purchase decision-making, and so an effective commercialization strategy seems to be necessary.

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Development of clothing product search algorithm using images based on deep learning (딥러닝 기반의 이미지를 이용한 의류 상품 검색 알고리즘 개발)

  • Hwang, Jae-Yong;Choi, Ho-Jin;Kang, Sun-Kyoung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.686-687
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    • 2022
  • Existing clothing product search is possible only with text search, so it is not possible to properly search for the product that the user is looking for, and it takes a lot of time to search for the desired product. In addition, it was difficult to know where to sell unbranded products such as Soho Mall products, and it was difficult to search for detailed attributes of fashion products. To solve this problem, we would like to propose a deep learning technique that can search for the exact information that the user wants through the learned image search.

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A Study on Sizing System for Mail-Order Clothing (통신판매의류의 치수에 대한 조사 연구)

  • 박경화;천종숙
    • Journal of the Korean Society of Clothing and Textiles
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    • v.20 no.1
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    • pp.43-53
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    • 1996
  • This study was initiated to investigate (1) the current sizing system for mail-order clothing, (2) consumers' preference for sizing systems, and (3) consumers' satisfaction with garment size. The apparel items and the sizes available at various mail-order companies in Korea were also reviewed. This investigation of consumers' preferences for various size description systems includes a survey of 410 men and women who had purchased garments by mail-order. The data were analyzed by Statistical Analysis System/pc. The major results are as follows; 1. The sizing system of mail-order clothing was different by garment items. The number of apparel sizes available for mail-order purchasing was three or less. The most mail∼order garments were labeled by the numerical size codes of body girth nleasurements or letter code (S, M, L). 2. The size description system most prefered by female subjects(N : 360) was the numerical size code of a body measurement(55.4%). The combination of bust-hips-height measurements size codes were prefered by 13.3% . The pictogram was least premiered by the subjects. 3. The apparel items that subjects wanted to buy using mail-order were underwear, home -weat and night-wear. The heavy users of mail-order purchasing, however, also wanted to purchase expensive garments requiring precise fit. The subjects aged from 20's to 80's wanted to purchase childern's wear by mail. 4. The desire for diversity of garment item and size of mail-order apparel was relatively high. The subjets also wanted to purchase special size garments by mail-order, e. g., garment sizes for full or tall figure.

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Effects of Consumers' Perception of Shopping Cost and Recreational Shopping Orientation on Catalog Shopping of Apparel (의류 제품의 통신 판매와 소비자 구매 의도 -쇼핑 비용 지각과 쾌락적 쇼핑 성향을 중심으로-)

  • 이은주;이은영
    • Journal of the Korean Society of Clothing and Textiles
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    • v.20 no.5
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    • pp.826-840
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    • 1996
  • With rapid changes in social and marketing environments, catalog retailing emerges as a new method of selling clothes in Korea. In catalog shopping, in-store and multi·store search behavior are omitted saving consumers time and effort. On the other hand, consumers may lose recreational enjoyment of shopping when they purchase clothes through catalog. In this study, consumers perception of shopping cost and recreational shopping orientation were tested as consumer characteristic intervening catalog shopping behavior. The concept of shopping cost was derived from Darian(1987)'s analysis of cost and benefit of store shopping and in-home shopping. A national sample of 700 adult women was surveyed and 477 questionnaires were returned and used for statistical analysis. Nine shopping cost perception variables were found to have significant positive relationships with the purchase intention of apparel through catalog. As a result of confirmatory factor analysis, two factors of shopping cost were found; perception of lack of shopping time and perception of store search effort. Causal modeling of LISREL analysis showed that percetion of lack of shopping time was strongly related with patronizing intention of catalog shopping. Since catalog shopping exclude enjoyment of store shopping activity, it can be logically inferred that recreational store shoppers have less chance of being catalog shoppers. However, the result of LISREL analysis showed that there were no negative relationship between recreational shopping orientation and catalog shopping intention. This suggests that consumers might experience enjoyment of shopping through catalog when properly presented.

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A Case Study of the Consignment Clothing Store-Invigorating Method for Efficiency Use of the Sustainable Clothing -Focused on Market In U- (지속가능 의복 확대를 위한 위탁판매 의류매장 활성화 방안 사례연구 -마켓 인 유(Market In U)를 중심으로-)

  • Lee, Yoon Kyung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.43 no.6
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    • pp.825-836
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    • 2019
  • This study focuses on how to improve the use of the sustainable clothing through consignment clothing Stores. This study finds factors for activating consignment clothing stores that can help expand and implement the clothing consumption culture of Korean consumers towards sustainable clothing behavior. The objectives of this study are as follows. First, we identify consumer's sustainable apparel behavior through an in-depth interview with a manager who is currently working in a consignment-selling apparel company in Seoul. Second, we analyze factors for activating a consignment clothing store that help enable the implementation of concrete action plans into Korean culture and towards a sustainable clothing behavior. The study results on consignment clothing stores serve as service factors. First, it increases the participation of consumers in the mindset of secondhand apparel. Second, it secures the quality of used apparel products. Third, it can be seen by expanding the market channel. There is a need to rethink the specialty of apparel products in order to secure the quality of used apparel products and appraisal of experienced apprentices of commodity appraisers.