• 복식문화연구
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• 제16권4호
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• pp.696-708
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• 2008

The purpose of this study was to examine the relationship among Shopping Orientation, Shopping-mall characteristics, Consumer Satisfaction, and Loyalty in online market. Data were collected from 405 adult women and analyzed by factor analysis, cluster analysis, ANOVA and Duncan test using by SPSS 12.0. The results showed that recreation shoppers to buy the cosmetics in online market, were more likely to perceive the shopping mall characteristics, information, check-out convenience, and product price of shopping mall than the other shoppers. Both brand oriented shoppers and economic oriented shoppers were more likely to perceive information offered at newsletters and e-mail of Internet shopping mall. Additionally, the more active shoppers were the more satisfied and the greater loyalty at online shopping mall of cosmetics. Implications are drawn for the information useful marketer and retailers of the online shopping mall of cosmetics.

• 한국의류산업학회지
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• 제15권1호
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• pp.46-56
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• 2013

This study categorizes online fashion shopping malls according to consumer store patronage behavior as well as classifies consumer groups by online shopping mall patronage to understand the unique characteristics in each phases of purchase. A quantitative survey was conducted using 487 questionnaires from women in their 20s and 30s. The data were analyzed using frequency analysis, cross-tabulations, factor analysis, T-test, ANOVA, cluster analysis, and ${\chi}^2$-test. The findings of this study are as follows. First, online shopping malls were classified into three types of 'integrated mall', 'open market' and 'specialized fashion mall'. Second, based on one of the three types of categorization consumer groups patronizing each type turned out as follows: integrated mall patrons (141, 28.95%), open market patrons (226, 46.41%) and the specialized mall patrons (119, 24.64%). Third, the characteristics of each group had significant differences according to clothing shopping orientation, information search, shopping mall behavior, spending on online shopping, and e-loyalty.

• 한국전자거래학회지
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• 제3권1호
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• pp.95-115
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• 1998

The growth of the internet shopping mall has led to a critical mass of consumers and firms participating in a global online marketplace. This study is devoted to providing a conceptual framework for describing and analyzing the characteristics of internet shopping mall. We proposed a model which classifies internet shopping mall into four types, including (1) general intermediary (2) general direct-sales (3) specialized intermediary (4) specialized direct-sales. Our framework facilitates greater understanding of the internet shopping mall as commercial medium and allows examination of internet shopping mall in terms of the opportunities and challenges firms facing online business.

• 산업경영시스템학회지
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• 제47권3호
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• pp.163-173
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• 2024

This study aims to establish an online shopping mall marketing strategy based on big data analysis methods. The customer cluster analysis method was utilized to analyze customer purchase patterns and segment them into customer groups with similar characteristics. Data was collected from orders placed over one year in 2023 at 'Jeonbuk Saengsaeng Market', the official online shopping mall for agricultural, fish, and livestock products of Jeonbuk Special Self-Governing Province. K-means clustering was conducted by creating variables such as 'TotalPrice' and 'ElapsedDays' for analysis. The study identified four customer groups, and their main characteristics. Furthermore, regions corresponding to customer groups were analyzed using pivot tables. This facilitated the proposal of a marketing strategy tailored to each group's characteristics and the establishment of an efficient online shopping mall marketing strategy. This study is significant as it departs from the traditional reliance on the intuition of the person in charge to operate a shopping mall, instead establishing a shopping mall marketing strategy through objective and scientific big data analysis. The implementation of the marketing strategy outlined in this study is expected to enhance customer satisfaction and boost sales.

• 한국의상디자인학회지
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• 제20권4호
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• pp.131-146
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• 2018

In this study, five women's fashion shopping mall companies were selected as the subjects based on the number of searches per month for analyzing website design of online shopping mall for women in their twenties. Design characteristics are divided into three aspects such as structural, visual, and customer service, and the results are as follow. First, from the structural perspective, the main navigation area and global navigation area of most shopping malls are arranged at the top center, and below them, the main image, the banner area, and the content area are arranged in order. Looking at the visual aspect, the logo is mostly written in a black text, the colors used on the main page were only one or two colors such as pink-based, gray-based, and red. Finally, from the customer service aspect, most shopping malls were encouraging buyers to place celebrity sponsorship, videos using products, self made products, and best products in the banner area. The results of this study are to present the direction of design for the founders who intend to operate the women' fashion shopping mall in future, and provide basic data for online shopping mall design research.

• 한국산학기술학회논문지
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• 제21권4호
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• pp.374-383
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• 2020

본 연구는 온라인 쇼핑몰의 특성이 소비자의 구매의도에 어떠한 영향을 미치는지 기술수용모델(TAM2)를 통해 알아보고, 소비자가 추구하는 가치 기준에 따라 쇼핑몰 구매 의도에 미치는 영향의 차이를 검증하고자 한다. 본 연구를 위하여 온라인 쇼핑몰 경험이 있는 성인을 대상으로 2018년 12월 1일부터 2019년 1월 31일까지 총 711부의 설문조사를 하였고, SPSS 23.0과 AMOS 23.0 프로그램을 이용하여 자료 분석을 하였다. 첫째, 온라인 쇼핑몰의 특성은 모두 지각된 용이성, 지각된 유용성에 정(+)의 영향을 미치는 것으로 나타났다. 둘째, 온라인 쇼핑몰의 특성이 감성적 반응에 미치는 영향을 살펴보면, 시스템 품질, 제품품질 변인만이 정(+)의 영향을 미치는 것으로 나타났다. 또한 온라인 쇼핑몰의 특성 중, 사회적 실재감은 감성적 반응에 정(+)의 영향을 미치는 것으로 나타났다. 셋째, 온라인 쇼핑몰 이용자의 지각된 용이성과 지각된 유용성, 감성적 반응은 지각된 가치에 정(+)의 영향을 미치는 것으로 나타났다. 넷째, 온라인 쇼핑몰에서 구매하는 제품의 실용재 집단과 쾌락재 집단 간 차이를 검증하기 위하여 다중집단분석(multi-group analysis)을 실시한 결과, 집단 별로 경로에 대한 차이가 있는 것으로 나타났다. 본 연구는 온라인 쇼핑몰을 이용하는 소비자들의 재이용의도에 미치는 다양한 영향요인에 관한 연구를 시도하였고, 쇼핑몰이 가지고 있는 기술적인 속성뿐만 아니라 소비자들이 인지하는 감성적인 부분까지 다루었다는 점에서 의의를 찾을 수 있을 것이다.

• 벤처창업연구
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• 제14권4호
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• pp.161-178
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• 2019

본 연구는 전문 쇼핑몰 사이트가 갖추어야 할 특성 요인과 온라인 서비스에서 요구되는 서비스 품질 요인이 키덜트 전문 쇼핑몰의 신뢰와 재구매 의도에 미치는 영향에 관해 분석하고자 하였다. 이를 통해 지속적으로 확산되고 있는 키덜트 전문 쇼핑몰이 성장하기 위한 주요 대고객 서비스 및 운영 관리 전략을 제시함으로써 발전 방향에 대한 시사점을 제시하고자 한다. 이를 위해 전문 쇼핑몰로서 갖추어야 할 쇼핑몰 사이트의 특성 요인으로 전문성, 다양성, 유희성, 개인화 요인과 함께 Parasuraman et al.(2005)이 제시한 E-S-QUAL 및 E-Rec-S-QUAL 요인을 독립 변인으로 하고, 사이트 신뢰를 매개 변인으로, 재구매 의도를 종속 변인으로 하여 그 관계를 분석하였다. 분석을 위해 국내 키덜트 전문 쇼핑몰 이용자 200명을 대상으로 구조화된 설문지를 이용하였으며, 주요 분석 결과는 다음과 같다. 첫째, 키덜트 사이트 특성 요인에서 전문성과 개인화, 서비스 품질 요인이 신뢰에 정(+)의 영향을 미치는 것으로 나타났다. 둘째, 키덜트 사이트 특성 요인에서 유희성과 개인화, 서비스 품질 요인이 재구매 의도에 정(+)의 영향을 미치는 것으로 나타났다. 셋째, 신뢰는 재구매 의도에 정(+)의 영향을 미치는 것으로 나타났다. 넷째, 신뢰는 예측 변인(독립 변인)과 종속 변인과의 관계를 매개하는 것으로 나타났다. 이상의 결과는 전문 쇼핑몰이 기본적으로 온라인 서비스 품질을 갖추되, 서비스의 전문성을 강화한 사이트를 통해 개인화를 이룬다면, 사이트에 대한 신뢰를 형성할 수 있으며, 나아가 지속적인 관계 구축을 기대할 수 있다. 또한, 향후 주요 대고객 서비스 및 운영 관리 전략에 하나의 시사점을 제시할 수 있을 것으로 보인다.

• 디지털융복합연구
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• 제18권4호
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• pp.137-148
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• 2020

디지털 시대에 많아진 정보에 따른 소비자 선택의 다양성은 긍정적이지만 여러 문제도 나타나고 있다. 본 연구의 목적은 쇼핑몰을 구성하고 있는 요인들이 온라인소비자의 행동에 영향을 미치는 과정에서 정보과부하가 어떤 매개역할을 하는 가를 살펴보는 것이다. 쇼핑몰의 특성과 관련된 요인들로 쇼핑몰의 인지도, 쇼핑몰의 품질, 쇼핑몰의 구성, 그리고 구매 추천서비스 등을 설정하여, 정보과부하가 나타날 때 이러한 변수들이 온라인소비자의 행동에 어떤 변화를 나타내는지 분석하였다. 분석결과 쇼핑몰의 특성 요인들은 모두 온라인소비자의 행동에 일정하게 영향을 미치는 것으로 분석되고 있으며, 정보과부하도 쇼핑몰의 인지도와 쇼핑몰의 품질 및 구조, 구매 추천 서비스 구비 등의 요인에 대해 모두 일정한 매개효과를 갖는 것으로 분석되었다. 그리고 쇼핑몰의 특성 요인들은 정보과부하 상황에서도 온라인소비자의 행동에 긍정적 영향을 미치고 있는 것으로 나타나고 있다.

• 산업경영시스템학회지
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• 제43권2호
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• pp.87-97
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• 2020

The purpose of this study is to suggest the characteristics of online shopping malls and find a way to establish a differentiated marketing Strategy for online shopping malls in China. This study investigated the effect on the loyalty by applying the perceived shopping value (Hedonic Value, Utilitarian Value) of consumers in online shopping malls. In addition, In order to grasp the factors affecting consumer loyalty in online shopping malls, the characteristics of online shopping malls are multidimensional, consisting of product characteristics, recommended quality, benefit services, and community services. In order to obtain the purpose of the study, a questionnaire was surveyed for chinese online shopping experience and the research model was verified through empirical analysis method. Statistical analysis program was used together with SPSS 24.0 and AMOSS 24.0. Looking at the results of the analysis, firstly, the recommended quality and benefit service of online shopping malls are positive for the perceived hedonic value of consumers. The product characteristics and community service were found to have no effect on the hedonic shopping value. Secondly, the product characteristics, recommended quality, benefit service, and community service of online shopping malls on the utilitrian value perceived by consumers were positively affected. Thirdly, the perceived hedonic value has a positive effect on loyalty. Finally, it was confirmed that perceived utilitrian value affects loyalty. Based on the results of this study, a differentiated marketing strategy was established for existing chinese online shopping mall operators and potential new operators as well.

• 복식문화연구
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• 제23권5호
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• pp.793-806
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• 2015

This study is to explore the effect of music characteristics (i.e., likeliness and familiarity of music) on the relationship between mood and attitude toward the product in the online shopping mall selling hand-made shoes. A total of 319 consumers participated in experiments with online shopping mall stimuli with a variety of background music. In results, consumer mood positively affected attitude toward the hand-made shoe products in the online shopping mall under background music. A moderating effect of music likeliness was found in the relationship between mood and product attitude, indicating that mood more strongly affected product attitude under more liked music than under less liked music. When consumers are listening to more liked music and are in good mood, they may build their attitudes toward products independently from their mood, whereas they may build positive attitude under good mood versus negative attitudes under bad mood if they are listening to less liked music. A moderating effect of music familiarity was not found in the relationship between mood and product attitude. Based on results, it was confirmed that the S-O-R model could be applied to explain the effect of background music on consumer responses in online shopping malls. Marketers may be able to select and adjust the likeliness and familiarity of background music to better serve consumers in diverse shopping conditions, referring to the study findings.