• 인터넷정보학회논문지
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• 제20권1호
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• pp.57-65
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• 2019

200 만명 이상의 회원을 보유하고 있는 "도매꾹" B2B 온라인 쇼핑몰인 경우70% 이상의 시장 점유율로 하루에 80만개 이상의 아이템이 판매되고 있다. 하지만, 동일하거나 유사한 물품이 서로 다른 카탈로그 엔트리에 저장 및 등록되어 있기 때문에 구매자가 아이템을 검색하는 과정에서 어려움을 느끼며 B2B 대형 쇼핑몰 관리에도 문제점이 발생하고 있다. 따라서 이에 대한 해결 방안으로 본 연구에서는 대단위 쇼핑몰 구매 정보를 기반으로 지도-학습 머신러닝 기법을 적용하여 상품에 대한 카탈로그 목록 자동 분류 및 추천 시스템을 개발하였다. 구체적으로 판매자가 자연어 형태로 물품 등록 정보를 입력하면 KoNLPy 형태소 분석 과정을 수행하였으며, Naïve Bayes 분류 방식을 응용하여 물품에 가장 적합한 카탈로그 정보를 자동으로 추천해주는 시스템을 구현하였다. 정확도가 향상된 카테고리 목록을 구축하여 결과적으로 검색 속도와 쇼핑몰 매출을 향상시키는 효과가 있었다.

• 가정과삶의질연구
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• 제27권4호
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• pp.127-139
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• 2009

The purpose of this study was to develop a standardized scale to measure consume's impulse purchasing in internet shopping mall. As internet shopping is expanding rapidly, the consumer's impulse purchasing in the internet shopping is also increased. A preliminary 26-item scale was developed through a literature review. 1230 consumers responded to an online survey using the preliminary scale. This research was made with the intention of not only supplying the academic data on the consumer's impulse purchasing but also understanding the consume's basic behavior patterns in internet shopping mall. Then A series of tests, such as test-retest, item-to-total correlation, Cronbach's reliability coefficient and factor analysis, were conducted using the survey data. The final scale with 20-items was constructed in the end. The consume's impulse purchasing in internet shopping mall Scale for Consumers consisted of 4 factors.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2001년도 International Conference CALS/EC KOREA
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• pp.625-629
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• 2001

A cyber shopping mall is a place where consumers acquire product information, and make purchase decisions in the cyber space. Even though it offers many advantages over traditional malls, there are still several limitations to do shopping in an existing cyber mall. One of these limitations is the absence of an efficient shopping aid to compare multiple items from multiple malls. Existing search systems usually support a keyword search with limited conditions. Consumers spend lots of their time to compare multiple alternatives from search results. In this paper, we propose an intelligent product search system. There are two main features in our system. The first one is a full support of comparison shopping with multiple perspectives based on commercial search engines. The second one is an enhancement to the shopping aid based on a new concept of Shopping AssistanT. Our system is implemented in Visual Basic and PERL, and experimental results show a satisfactory performance.

• 복식문화연구
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• 제10권6호
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• pp.666-679
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• 2002

The purpose of the present study was to analyze clothing shopping orientation and impulsive purchase behavior for clothing by using adolescents. Data were collected through a self-administered questionnaire survey from 680 middle and high school students living in Gangrung area from July 2 to July 6, 2001; 582 were used for the data analysis. Data were analyzed by chi-square analysis, 1-test, ANOVA, descriptive statistics, cluster analysis and Duncan's multiple range test. The results showed significant differences in clothing shopping orientation and in the impulsive shopping factors for clothing among the groups determined by demographic characteristics and, in the impulsive shopping factors for clothing among groups determined by the shopping orientation. Female students and high school students showed higher tendencies of recent experiences of impulsive buying for clothing. More thin half of the subjects tended to spend less than 30,000 won and to buy two items each time when purchasing clothing impulsively. Most students used discount shops or specialized stores fur impulsive purchase.

• CRM연구
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• 제4권2호
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• pp.19-29
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• 2011

오프라인 쇼핑몰에 비해 온라인 쇼핑몰은 빠르게 접근이 가능하기 때문에 처음 구매의사를 생성하고 실제 구매가 이루어지기까지의 기간이 오프라인 쇼핑몰에 비해 매우 짧게 나타난다. 즉 오프라인 쇼핑몰의 경우 구매 희망물건을 바로 구매하기 보다는 몇 개의 물건들을 모두 모아서 구매하는 행태가 일반적이다. 하지만, 인터넷 쇼핑몰의 경우 단 하나의 물품만을 포함하고 있는 주문이 전체 주문의 절반이상을 차지한다. 이러한 차이는 온라인 쇼핑몰 거래데이터의 분석을 위해서는 데이터 마이닝 분석에서 사용되어 온 장바구니의 정의에 대한 확장이 필요함을 의미한다. 하지만 현재까지 온라인 데이터를 대상으로 한 장바구니 분석 연구는, 장바구니의 기준 즉 동시구매의 기준에 대한 명확한 근거나 합의 없이 연구자의 선택에 따라 서로 다른 기준으로 수행되어왔다. 따라서 본 연구에서는 온라인 쇼핑몰 분석에 적용되는 동시에 구매되는 물건들에 대한 기준을 고찰해보고 연구모형을 마련하고자 한다.

• 한국가정과학회지
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• 제4권2호
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• pp.110-122
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• 2001

The purposes of this study was to examine the present situation of merchandise assortment and informations in internet fashion shopping mall. Merchandise assortment dimensions were width and depth. Merchandise assortment factors for apparel were style, size, and color. Merchandise informations were investigated using price and fabric contents. The data were collected from 11 internet fashion site to investigate styles. colors, sizes. price and fabric contents. The data analysed with frequency. crosstab analysis, $\chi$$^{2}$-test. The results were as follow : 1. Upper items(37.5%) as T, knits, shirts, and blouses were offered more style than bottom items(13.5%) as skirts, pants. 2. The 36.4% of styles offered one color. Basic color as black, white, grey, beige, ivory was 38.1%. 3. The 54.4% of merchandises carried same size. 4. Fiber contents was made up of cotton(44.2%). hemp & rayon(22.5%), and synthetic (33.3%). 5. The 75.1% of merchandise was relatively low price of below 50,000 won, the 24.9% of merchandise was rather high price of more than 50.000 won.

• 지식경영연구
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• 제9권3호
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• pp.59-76
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• 2008

Due to rapid increase in number of Internet users, the volume of domestic Internet shopping is expanding dramatically. Although the Internet shopping mall business is steadily growing, it has structural weakness, and in general, the business does not generate profit. In this context, this research identifies characteristics of the Internet shopping non-adopters, and suggests strategies to strengthen competitiveness of domestic Internet shopping malls and to create a new demand. Analysis of MCR data in 2007 showed that out of 4,298 respondents, 2,206 people adopted Internet shopping (51.3%). and 2,092 did not (48.7%). The survey measured 28 items regarding a consumption pattern and a lifestyle of the Internet users, and the analysis result showed that the pattern can be categorized in seven groups. Based on the analysis, the research suggests that the domestic Internet shopping malls adopt strategies to increase consumers' access frequency to tile Internet service, provide high-end goods, diversify transaction methods, make online shopping more convenient, cater to diversified consumer demands based on demographic data, provide price comparison more Internet shopping mails, and provide sufficient and useful information to consumers.

• 한국의류학회지
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• 제26권2호
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• pp.292-302
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• 2002

The purpose of this study was to research on Characteristic of Consumer and Clothing Purchase Orientations according to Internet Shopping Mall Type. The results were as follows; First, the clothing purchase orientations consisted of 5 dimension; product recondition, consumer service, shopping experience, risk of functional recognition, and of economical recognition. Second, the analysis of items of 5 dimension on clothing purchase orientations according to Internet shopping mall type produced as follows; 1. Product recognition - Variety of products appeared to be important elements and the average of specialized shopping mall was higher than that of general shopping mall. 2. Consumer service - Reliability of product information appeared to be more critical than others and the average of specialized shopping mall was bigger than that of others 3. Shopping experience - The item of convenience over time and space, the hard sell and over-service were found critical elements. Especially convenience over time of Mall of Malls, the convenience a far from hard sell element of department style shopping mall, and convenience over space of specialized mall were higher than that of others. 4. Risk element of functional recognition - No specific distinction appeared according to shopping mall type. 5. Risk element of economical recognition - Mending and additional cost arising from bad choice were found being critical element.

• 복식문화연구
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• 제23권5호
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• pp.876-893
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• 2015

The purpose of this study is to identify the influences of psychological variables and fashion-related psychological variables on purchasing fashion items on the Internet. Boredom proneness and public self-consciousness were selected as psychological variables, and dressing style was selected as a fashion-related psychological variable. It was hypothesized that boredom proneness and public self-consciousness not only influence the purchasing frequency of fashion items on the Internet directly, but also indirectly through dressing style. Data were gathered by surveying university students in Seoul using convenience sampling. Two hundred and eighty-six questionnaires were used in the statistical analysis. SPSS was used for exploratory factor analysis, and AMOS was used for hypothesized relationship testing. The factor analysis of boredom proneness revealed five dimensions, "helplessness," "affective response," "lack of internal stimulation," "lack of external stimulation," and "perception of time." The factor analysis of public self-consciousness revealed two dimensions, "appearance-consciousness" and "style-consciousness," and the factor analysis of dressing style revealed one dimension. The overall fit of the hypothesized model suggests that the model fits the data well. The hypothesized relationship test proved that boredom proneness and public self-consciousness influence the purchasing frequency of fashion items on the Internet indirectly through dressing style. The results implicate effective strategies for Internet shopping malls and suggestions for future study.

• 가정과삶의질연구
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• 제22권4호
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• pp.15-27
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• 2004

This study investigated the factors in evaluating internet shopping mall sites, and developed a self-report evaluation scale of such sites, This article identifies factors to determine criteria for evaluating the sites from the consumers' viewpoint. Eighty three items were extracted initially, which were then categorized as follows: \circled1 Type of business, \circled2 Navigation ease, \circled3 Technological level, \circled4 Design of sites, \circled5 Communication ease, \circled6 Information available, \circled7 Ease of access, and \circled8 Site security, Overall reliability coefficients were high in the individual domains ($\alpha$=.86 to $\alpha$=.95). Face validity and contents validity were demonstrated to be good, There were significant differences in the means of these categories. The results also show that the technological level is the most important in shopping mall sites evaluation. These results may be used not only as a tool to evaluate shopping mall sites but also as a guideline to improve the quality of a shopping mall site that is under development.