• Journal of Advanced Navigation Technology
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• v.15 no.5
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• pp.925-930
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• 2011

In this paper, we propose a method to apply the purchase preference of a user in on-line shopping mall. To analyze the preference, we use topic preference vector. The topic is purchase count of products. In this structure, we construct the association the four factors; Purchase Hit meaning the purchase count of product, Count meaning the purchase count by other users in interesting product, Preference meaning product preference, and product meaning information of the product. By this structure and the method, we could show that proposed method displayed the product applying user preference, effectively.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.204-221
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• 2016

The study tested the moderating effect of 215 women living in Busan to analyze the purchase intention (awareness, health interests, environmental interests) of environment-friendly agricultural products and it's the causal relationship between consumer attitudes and purchasing intention. The results confirmed that all purchase factors for environment-friendly agricultural products had significant causality on consumer attitudes. Significant causality of consumer attitudes on purchase intention was also confirmed. The moderating effect of the number of purchases was analyzed to only significantly affect consumer attitudes on purchase intention and consumer attitudes according to number of purchases were analyzed to vary depending on the intensity of purchase. Information presented in this study means that consumers who are aware of environment-friendly agricultural products, interested in health, and interested in protecting the environment exhibit positive attitudes on environment-friendly agricultural products as well as higher purchase intentions. Therefore, if government and local organizations strengthen the promotion of environment-friendly agricultural products, there may be an acceleration of the consumption of environment-friendly agricultural products, followed by an increase in the income of farmers as well as an increase in the number of farmers who cultivate environment-friendly agricultural products. This may ultimately aid in the conservation of the natural environment of Korea and enhance the health and well-being of the public.

• Proceedings of KHEA Conference
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• 2003.10a
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• pp.140-140
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• 2003

• Journal of Global Scholars of Marketing Science
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• v.2
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• pp.203-234
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• 1998

본 연구 목적은 인터넷 쇼핑의 현황(구매품목, 횟수, 동기, 결제 방식, 가격, 카달로그 이용여부)을 조사하고, 인터넷 쇼핑의 구매자와 비구매자의 특성(인터넷 사용 관련 사항, 인구통계학적 특성)을 비교하며, 인터넷 쇼핑시 소비자 만족/불만족 요인을 조사하여, 인터넷 쇼핑시 소비자 만족/불만족 요인과 구매의도와의 상관관계를 분석하는 것이다. 본 연구는 설문조사 방법으로서 편의 추출된 인터넷을 사용하는 소비자 73명을 대상으로 하였다. 자료분석방법으로는 기술통계(빈도, 평균, 표준편차)와 요인분석, 신뢰도 분석, 상관관계분석법으로 분석하였다. 연구 결과 첫째, 구매 경험자가 가장 많이 구입한 품목이 남성상의 단품과 넥타이와 스카프의 구매가 높게 나타났다. 둘째, 인터넷 사용 관련 상황으로 구매자는 인터넷 사용에 대해 전반적으로 비구매자 보다 훨씬 더 편리하게 느끼는 것으로 조사되었다. 구매자의 인구 통계학적 특성을 남성이고, 학력이 높으며, 전문직종으로, 한달 구매 지출비가 11${\sim}$20만원이고 한달 총수입이 높은 사람으로 나타났다. 셋째, 인터넷 쇼핑시 소비자의 만족/불만족 요인으로 주문처리 정확성, 인터넷 사용 용이성, 구매편의성/신뢰성, 상품의 다양성/합리성, 주문 방법의 편의성/경제성, 선호성, 상품의 혜택추구성의 7개 요인이 추출되었다. 넷째, 소비자 만족/불만족 요인 중에서 주문처리 정확성 요인과 상품의 혜택추구성 요인이 구매 의도와 상관관계가 있었다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.203-206
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• 2000

신경망을 이용해 고객집단을 분류하고 고객의 특성에 따라 세분화된 고객들에 대해 다단계 연관규칙을 적용해서 고객의 상품 구매패턴을 찾아 줌으로써 마케팅 전략 결정을 지원하는 구매패턴분류 시스템을 설계한다. 고객분류를 위한 신경망 시스템은 다층 퍼셉트론에 역전파 알고리즘을 이용한다. 주소, 구매금액, 구매횟수, 고객 구분, 상긴 등과 같은 고객정보를 입력층에 입력변수로 지정하고, 이에 따른 우량/일반고객을 출력변수로 지정한 후 신경망을 학습시키면, 실제의 우량/일반의 간과 예측되는 우량/일반의 값의 차이론 최소화시키면서 모형을 형성시켜 나가게 된다. 구매패턴 분류 시스템은 다단계 연관규칙을 이용한다. 고객분류 서브시스템을 통해 고객집단이 세분화되면 각각의 고객집단에 대해 TID와 품목 트랜잭션을 입력으로 cumulate 알고리즘과 개념계층을 이용해 일반화 과정을 수행하면서 빈발 항목을 찾게 되고 이론 근거로 항목간의 연관규칙을 찾아내게 된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.267-280
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• 2017

The purpose of this study is to provide cosmetic companies and research institutes with basic data regardingthe development of marketing by making out the influence and characteristics of consumption. A total of 506 questionnaires were used as analysis for the questionnaire survey of twenty female college students who purchased cosmetics within sixmonths in Seoul and the metropolitan area. Consumption propensity varied characteristics depending on the degree of makeup, average number of purchases, main reason for using cosmetics, and where to buy cosmetics. Motivation for purchasing cosmetics varied characteristics depending on the largest skin problem, the degree of usual makeup, the average number of times cosmetics were purchased, and the main reason forusing cosmetics. The results revealed thepropensities of saving resources, planned purchases, consciousness to others, and impulse buying have significant effects on the cosmetic purchase motives of product conversion, being others-oriented, economicsand pursuing beauty(P<0.05).Consequently, this study hopes to contribute to the development of cosmetics companies and research institutes by providingbasic data forfuture development of productsas well as formarketing strategiesusing customer psychology by referring to various perspectives ofconsumer direction and desired purchase behavior.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.292-294
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• 2001

본 논문에서는 최소의 시간과 최적의 가격으로 경매를 진행하는 역경매 에이전트 시스템을 제안한다. 제안한 시스템은 경매의 진행단계에 따라 판매자들의 입력한 횟수 및 가격에 대한 정보를 바탕으로 최적 가격에 대한 가이드를 제공하여 구매자의 희망 가격에 근접한 최적의 가격으로 경매를 할 수 있도록 지원한다.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.261-267
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• 2021

This study aims to explore the effect of beauty lifestyle behaviors on the pursuit of beauty values and cosmetics purchasing behaviors in female college students, identify consumption market of female college students in beauty industry and contribute to the advancement of beauty industry. Data were collected by conducting a survey in 328 students. The survey was performed using self-administered questionnaires answered by the respondents themselves. The survey items were rated on a 5-point Likert scale and multiple choice question type was used. Statistical analyses were done using SPSS Statistics ver. 22.0. The study results are as follows. First, the regression analysis on the effect of beauty lifestyle behaviors on the pursuit of beauty values were found to be impacted on the sub-variables of beauty lifestyle behaviors including manicure, make-up, diet, body-shaping, and shopping behaviors (p<0.01). Second, the results of a difference in the pursuit of beauty values by cosmetics purchasing behavior showed that purchase frequency of cosmetic products for buying cosmetics were found to be statistically significant Third, as the results of a difference in cosmetics purchasing behaviors by beauty lifestyle behavior, reasons for the purchase frequency of cosmetic products, cost of purchasing cosmetics were statistically significant.

• Information Systems Review
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• v.24 no.1
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• pp.125-155
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• 2022

Platform contrasts with traditional industry in terms of innovativeness as it is rapidly developing with information technology. To redeem preceding researches which have separately focused on either platform acceptance based on technology acceptance model or resistance factors against platform's innovation, this study applied dual factor theory to check the simultaneous influence of enablers and inhibitors on resistance. This study chose purchasers of online used trading platform as a subject of study since it contrasts with other platforms in many characteristics. Based on preceding studies, the moderating effects of their past purchase numbers on the relations between resistance and use intention were also checked. The findings reveal that economic benefit as an enabler had significant negative influence on the resistance, but social influence didn't have expected influence. In case of inhibitors, both perceived complexity and perceived risk had significant positive influence on the resistance. Though resistance had significant negative influence on the use intention, its influence was moderated into the positive direction as users' purchase number increased. Lastly, resistance had mediation effect between antecedent factors (economic benefit and perceived complexity) and use intention.

• Journal of the Korean Data and Information Science Society
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• v.20 no.4
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• pp.615-627
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• 2009

In micro marketing promotion, it is important to know the behavior of customers. In this study we are interested in the forecasting of repurchase of customers from customers' behavior. By analyzing the cosmetic transaction data we derive some variables which play an important role in the knowledge of the customers' behavior and in the modeling of repurchase. As modeling tools we use the decision tree, logistic regression and neural network model. Finally we decide to use the decision tree as a final model since it yields the smallest RASE (root average squared error) and the greatest correct classification rate.