• Proceedings of the Korea Association of Information Systems Conference
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• 2000.05a
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• pp.41-51
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• 2000

전자상거래 기업의 장점이 고객 데이터를 이용한 원활한 데이터베이스 마케팅의 구현임에도 불구하고 아직 많은 사이버쇼핑몰들은 고객의 개별 특성이나 구매성향에 관계없이 누구에게나 동일하게 제공되는 쇼핑몰을 구축하고 있다. 본 논문에서는 갈수록 치열해지는 경쟁 환경에서 고객의 욕구를 좀 더 빠르게, 좀 더 정확하게 만족시킴으로써 고객이 다시 방문할 수 있도록 하는 방안으로 일대일 마케팅의 이론적 고찰을 통하여 맞춤형 쇼핑몰의 개념을 제시하고, NT, SQL 환경에서 ASP를 이용하여 개인화 된 맞춤형 쇼핑몰을 구축하였다. 우선 개인화 된 쇼핑몰의 구축에는 우선 개인의 프로파일, 쇼핑몰에서의 항해 기록, 실제 구매기록 등의 다양한 데이터가 이용될 수 있지만 고객의 프로파일은 항시 일정한 것이 아니라 변화하기 때문에 프로파일과 같은 정적인 정보는 다소 적절치 못할 수도 있다. 또한 고객의 욕구가 빨리 변화한다는 것을 고려한다면 고객의 정적인 정보인 프로파일을 고려하기 보다 고객의 동적인 정보를 파악, 이에 따른 개인화 된 쇼핑몰을 제공함으로써 고객의 만족도를 증진시키고 나아가 지속적인 방문을 유도하는 것이 필요하다는 것을 인식할 수 있다. 따라서 본 연구에서는 NT 환경 하에서 고객의 동적인 정보들을 분석하여 이를 바탕으로 고객의 만족을 이끌어 낼 수 있는 개인형 사이버 쇼핑몰을 시험적으로 개발하였다.

• Proceedings of the KAIS Fall Conference
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• 2008.11a
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• pp.21-24
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• 2008

본 논문에서는 오프라인 쇼핑몰에서 위치추적 기술과 동선분석을 이용하여 오프라인 쇼핑몰 고객의 위치분석 데이터를 분석한 결과를 토대로 고객에게 실시간 대화형(Interactive) 서비스 제공을 위한 선호 상품 시스템을 설계하여 쇼핑효과를 극대화하며, 고객 만족도를 향상시킬 수 있도록 돕는데 그 목적이 있다.

• Proceedings of the KAIS Fall Conference
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• 2010.05a
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• pp.539-542
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• 2010

본 논문에서는 오프라인 쇼핑몰에서 위치추적 기술과 동선분석을 이용하여 오프라인 쇼핑몰 고객의 위치분석 데이터를 분석한 결과를 토대로 고객에게 실시간 대화형(Interactive) 서비스 제공을 위한 선호 상품 시스템을 설계하여 쇼핑효과를 극대화하며, 고객 만족도를 향상시킬 수 있도록 돕는데 그 목적이 있다.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.9
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• pp.1441-1451
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• 2009

This study analyzed the strategic importance of fashionable products in order to increase the tourism allure of Seoul. Data were collected from the 758 foreign tourists visiting Seoul from Japan, China, and the USA. The survey was statistically analyzed by chi-square, regression, and ANOVA method. The fashionable products were found to be the most frequently shopped product category and the clothing product was identified to be the most preferred. The retail store area with the greatest market share was identified as Myundong. Product satisfaction with fashionable products is identified to have a positive relationship with tourism satisfaction and royalty to Seoul. A strategic focus on fashionable products is recommended for an increased tourism competency.

• Journal of the Korean Society of Costume
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• v.60 no.2
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• pp.114-129
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• 2010

The purpose of this study were to identify shopping orientation for fashion outlet consumers and its significance in influencing brand loyalty and shopping satisfaction. This study will propose results which help to better understand shopping orientation of fashion outlet consumers. A questionnaire was administered to 326 20s male and female living in Daegu Gyeongbuk during October of 2008. Data were analyzed by using Factor analysis, Reliability analysis, t-test and Regression analysis. The results of the research are as follows: First, The shopping orientation could be into 5 dimensions: pleasure tendency, fashion tendency, name brand tendency, prudence buying tendency, economic tendency. Brand loyalty were factor analyzed resulting three factors such as brand loyalty, brand care and brand knowledge. Brand loyalty factors of brand loyalty and brand knowledge had a positive effect on fashion tendency, name brand tendency. Brand care has a positive effect on name brand tendency and economic tendency. Second, Shopping satisfaction were factor analyzed resulting five factors such as product, store atmosphere, service store reputation, location convenience and price. Outlet product had a positive effect on fashion tendency, name brand tendency, prudence buying tendency and while all other factors showed a positive effect on preferences to follow trends. However, outlet price had a positive effect on only those consumers possessing a economic tendency.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.303-321
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• 2023

Metaverse shopping has emerged as a new phenomenon in social commerce. This study aims to investigate the user experience of metaverse stores shopping based on the S-O-R model. The results of the study show that telepresence, entertainment, personalized recommendation, and social interaction have significant positive effects on flow experience and satisfaction in metaverse shopping. Additionally, satisfaction and flow experience are shown to have significant positive effects on user intentions. This study provides valuable implications for the design and management of metaverse stores to improve user experience and increase user intention.

• Journal of the Korea Society of Computer and Information
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• v.6 no.2
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• pp.157-162
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• 2001

Internet shopping mall is done commercial trade in particular web sites, and zoomed with an important means of trade for the next generation. When users visit shopping mall, the best objective is determined to users by of offering satisfaction and pleasant experience. Therefore. this paper was selected a menu list as an evaluation factor to emphasize a usage convenience of internet shopping mall, and executed a performance and a subjective satisfaction evaluations on a screen design and a structure design. The results of all the performance and the subjective evaluations for the screen design were shown the shortest search times on left type of the main-menu and vertical type of the medium-menu. In the structure design, it was shown that users were the highest satisfaction in type that search product and shopping cart procedure were firstly processed, and the procedure of a shopping membership and paying a bill were secondly processed at the same screen with regard to a comprehensibility and convenience of purchase procedure. It was shown that the user prefered the shopping mall web site to analogy with the real purchase procedure

• Journal of the Korea Safety Management & Science
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• v.8 no.5
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• pp.193-209
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• 2006

Multiple regression is used to examine the relationship between a set of two or more independent variables and one dependent variable. It provides the information necessary to make predictions of the dependent variables based on several independent variables. To do so, the multiple regression equation is extended to: y=$a+{\beta}_1x_1+{\beta}_2x_2+{\ldots}+{\beta}_kx_k$ y=attractiveness a=the value of the intercept ${\beta}_1$=the slope(weighting) of the first variable ${\beta}_1$= the slope(weighting) of the second variable ${\beta}_k$=the slope of the $\kappa$th variable The resulting regression equation of this research is y=$a+{\beta}_1site's\;system+{\beta}_2customer\;satisfaction+{\beta}_3products+{\beta}_4delivery$ y=3.233+0.374(site's system)+0.268(customer satisfaction)+0.17(products)+0.077(delivery)

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.8
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• pp.945-953
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• 2014

This study attempts to explore the connectivity among brand personality, shopping value, customer satisfaction and recommendation intention by deriving brand personality image factors of online shopping malls. The analysis results are as follows. First, the brand personality of shopping malls were derived as 'vital', 'familiar', 'credible', 'competent', and 'sophisticated.' Second, shopping value was derived as hedonistic and practical shopping values. Third, it was shown that brand personality of shopping malls has significant impacts on shopping value. In addition, customers' shopping value, customer satisfaction and recommendation intention have significant impacts on each other. It is expected that this study can provide basic information for constructing differentiated marketing strategies in the domestic online shopping malls whose competition is heating up.

• Journal of agriculture & life science
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• v.43 no.2
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• pp.65-78
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• 2009

The purpose of this research is to analyze the factors influencing satisfaction level of consumers using internet shopping mall to purchase agricultural products and to check relationship between satisfaction factor and intention in current situation of fast diffusion of market size for agricultural product e-commerce. Purchase motivation in internet shopping mall was shown to be the reason of convenience rather than confidence degree for agricultural product consumers. Consumer satisfaction factor of agricultural product internet shopping mall can be distinguished by confidence in service quality, diversity of products, delivery and customer support, and security. The result of this research will help us understand the determination factor of consumer satisfaction and their intention about internet shopping, while finding out what consumers expect from internet shopping when purchasing agricultural products.