• 복식
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• 제61권4호
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• pp.63-75
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• 2011

The purpose of this study were to investigate influences of perceived value and perceived risk on purchasing behavior for imported apparel from official dealer and unofficial dealer in internet shopping mall. A total of 363 female subjects with ages ranging between 20's and 30's completed the questionnaire. The results of this study were as follows. 1) Imported apparel through official dealer had no influence by impulse buying for convenience and efficiency value, information value, after-purchasing value. On the other hand, imported apparel through unofficial dealer had a negative influence by impulse buying for convenience and efficiency value. 2) Imported apparel through official dealer had a negative influence by impulse buying for function and service risk. But for imported apparel through unofficial dealer, not only function and service risk but also private information risk were influenced by impulse buying. 3) All of imported apparel through official dealer and unofficial dealer had no influence by flow for convenience and efficiency value, information value, after-purchasing value. 4) All of imported apparel through official dealer and unofficial dealer were influenced by flow for function and service risk. That is to say, when consumer find satisfaction about quality of products, whether real thing or not, guarantee of quality, consumer's purchasing behavior will be enhance.

• 정보처리학회논문지D
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• 제13D권7호
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• pp.1027-1038
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• 2006

대용량 데이터베이스에서의 추천시스템은 많은 문제점들을 지니고 있으므로, 대규모 인터넷 쇼핑몰에 적합한 추천 시스템 구조와 데이터 마이닝 기법의 필요성이 요구되고 있다. 따라서 본 논문에서는 k-mean 클러스터링과 순차 패턴 기법을 이용한 VLDB(very large database) 기반의 상품 추천 시스템을 설계 및 구현한다. 본 논문에서는 사용자의 정보를 일괄처리하고 다양한 카테고리를 계층적으로 정의하며, 탐색엔진에 순차 패턴 마이닝 기법을 이용한다. 예측 모델을 만들기 위하여 사용자의 로그 데이터 중에서 카테고리에 대한 사용자의 선호도를 추출하여 이용한다. 본 논문에서는 실험과 성능 평가를 위하여 국내 인터넷 쇼핑몰에서 30일 동안 수집한 실제 데이터를 이용한다. 또한 성능평가를 위하여 추천 예측 정확율(PRP: Predictive Recommend Precision), 추천 예측 재현율(PRR: Predictive Recommend Recall), 정확도 인수(PF1 : Predictive Factor One-measure)를 제안하여 사용한다. 성능평가 결과 가장 빠른 추천시간 및 학습시간은 O(N)이었고, 다양한 실험에서의 측도들의 값이 상당히 우수하였다.

• 가족자원경영과 정책
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• 제9권2호
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• pp.111-126
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• 2005

The purpose of the study was to find out some actual states qualities of consumers using of online mall users, as well as the factors that affect consumer satisfaction. A survey for this research was formed in order to find the consumer group between the ages of 20 and 30 who have experiences shopping online. From August 5th, 2002 to August 24th 2002, 424 were actually used tot this research The major results of the research were as follows. First, out of the people of the ages 20 to 30, the average age of people that actually purchase the online products was 27.7, and most were either office workers or students. Most of these people have purchased more than S products within a year, and won. Furthermore, $71.9\%$ of the payments were made using credit cards. The average days of using the Internet per week was 5.4 days, the average duration of utilization was 4 years, the average hours spent per day was 2 hours and 9 minutes, and the average time spent on searching information was 31 minutes per day. These peoples ability to put Internet to a practical use, their ability to use the information effectively, and the dangers of the Internet have received 3.66, 3.99, and 3.14 points out of the 5-point scale. In addition, the information search using the Internet received 3_44 points, and the consumer satisfaction received a fairly high score of 3.33 points. Second, the information searching factors involving the society and the Interact have showed efficiencies in people that received university education, people that purchase more than 3 products online per year, people that spend more than 100,000 won per year, and the people that make use of the Internet more often. Third, the customer satisfaction on Internet malls was greater in people that purchase more than 3 products, spend more than 100,000 won per year, make effective uses of the Internet, and Dow about the importance of the information search of the Internet. Fourth, the factors that affect customer satisfaction were the effectiveness of the Internet for searching information, the dangers of the Internet, and the hours spent on the Internet. The more uses of the Internet one makes, the less dangers one encounters, and the less one spends time on the internet, the higher ones customer satisfaction is was proven by this research.

• 한국콘텐츠학회논문지
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• 제15권12호
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• pp.73-80
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• 2015

1996년 중국으로 수출된 한국 드라마의 인기를 시작으로 세계 시장에서는 이른바 한류 열풍이 시작되었다. 이후 드라마뿐만 아니라 한국의 문화 자체가 한류 시장의 콘텐츠로 급부상하며 한국 제품을 온라인에서 직접 구매하고자 하는 해외 직판 소비자가 큰 폭으로 증가하고 있다. 본 연구는 국내 온라인 쇼핑몰이 해외 시장의 소비자 환경에 적절히 부응하고 있는가를 파악하기 위해 현재 글로벌 마케팅을 진행하고 있는 국내 쇼핑몰 네 곳과 해외의 유명 쇼핑몰 네 곳을 각각 선정하여 디자인 측면을 비교 연구하였다. 그 결과 글로벌 마케팅을 진행하고 있는 국내 온라인 쇼핑몰들이 국가별 인터넷 환경에 대한 이해가 부족하고 문자 정보전달의 한계를 겪고 있으며 의미 전달에 용이한 시각 기호를 적극적으로 활용하지 못하고 있는 실정임이 드러났다. 이에 본 논문은 그러한 문제점에 대한 개선 방안으로 다양한 화면을 배려하는 가변 요소를 디자인에 활용하는 방안, 세계 각국마다 다른 언어의 문제를 해결하기 위해 텍스트를 직관적인 요소로 디자인하는 방안, 발전하는 IT기술을 적극 활용하여 디자인하는 방안 등을 제시하였다.

• 경영정보학연구
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• 제9권3호
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• pp.99-132
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• 2007

전자상거래에서 고객관리가 중요한 이슈로 떠오르면서 CRM에 대한 선행연구가 많이 진행되어왔다. 하지만 대부분 통계기반의 실증연구들이어서 시간의 흐름에 따른 CRM 결과의 동태적 변화를 보여주지 못하며, CRM 전략에 대한 타당성과 미래성과를 예측 할 수 없는 한계점을 가지고 있었다. 따라서 본 연구는 이러한 한계점을 보완하고자, 온라인쇼핑몰의 CRM 구성요소들을 도출하고 이들간의 동태적 변화를 분석하기 위해 시스템다이내믹스기법을 기반으로 한 동태적 모델을 설계하였다. 구체적으로, 온라인쇼핑몰에 초점을 맞추고 퍼미션마케팅 이론에 기반하여 고객을 세분화하였으며, 기대이론 등을 바탕으로 세분화된 고객들에게 서로 다른 수준의 CRM을 적용하여 그에 따른 고객만족도와 불편도의 변화에 대한 명제(Proposition)을 설정하였다. 시뮬레이션 실행 결과, 세분화된 고객별로 CRM의 긍정적 효과로 인한 고객만족 및 유입보다 부정적 효과로 인한 불만족 및 이탈이 더 많은 것으로 나타났으며, 이는 본 연구에서 설정한 명제의 타당성을 검증하고 있다. 위와 같이, 본 연구에서 설계한 동태적 모델은 기존의 기대이론을 바탕으로 한 고객만족도 및 불만족도가 고객유입과 이탈에 미치는 영향에 대한 근거를 제시하였으며, 향후 븐 연구를 기반으로 실제 쇼핑몰사례를 접목시킨 실증 연구가 이루어진다면 현업의 CRM 전략수립에 명확한 기준을 제시할 수 있을 것으로 기대된다.

• 정보기술과데이타베이스저널
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• 제8권1호
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• pp.1-11
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• 2001

More and more cyber shopping malls, one of the new promising Internet businesses of today, are opening business everyday. And instead of the ordinary image and text type of product display, buyers can now view products from any viewpoint through 3D images and also get more detail information on the product more easily thanks to the new VP technology, visual tools, and statecharts. However the currently used virtual prototyping supporting method does not consist of any database support for sharing the data from different virtual prototype developments and reusing the data in developing other prototypes. And in cases of custom order products, there is no linkage with the virtual product database that enables buyers in cyberspace such as cybermalls to try out the products before purchasing. This paper is purported for being applied as the basis for planning the construction of a complete CRM method applied cyber shopping mall that can accommodata all the demands and requests from customers. And the database supporting VP framework that supports data sharing and collaboration between virtual prototype developers and manufacturing custom order products is suggested for this purpose.

• 경영과정보연구
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• 제21권
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• pp.271-297
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• 2007

Since B2C EC websites not only become a valuable channel for selling goods to customers and for communicating with the potential clients, but also offer companies an important vehicle for attaining competitive advantages in the new digital economy, the design and content of website must reflect its business goals and customers' needs. However, as little empirical evidence on the effect of B2C EC website contribution of firm performance exist, the functionality of B2C EC website has been decided voluntarily from its business experience. Hence, there has been a call for a rigorous empirical studies to examine the function level of an B2C EC website application. The purpose of this study is to examine the relationship between the function level of B2C EC website and its performance considering the characteristics of B2C EC strategy as moderating variable. 125 questionnaires from internet shopping malls which sell physical goods direct to an individual end consumer were collected. The results showed that four factors(price, product recognition, reliability enhancement, and purchase confidence) affect positive effects on the performance of shopping mall, and the characteristics of B2C EC strategy can be considered as a significant moderating variable between price factor and the performance of shopping mall.

• 한국의상디자인학회지
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• 제18권2호
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• pp.93-100
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• 2016

This paper aimed to provide the basic data on consumers' purchasing tendency required to start and operate online shopping malls on internet. The survey selected the female college students from 19 to 24 years old majoring fabric and fashion design in colleges in Gyeonggi-do. Total 283 questionnaires were selected for statistical analysis. The analysis results are presented below. The first online shopping was during the middle school times showing the highest responses as 63.54%, followed by high school times, college times and elementary school times in that sequence. Most female college students(97.88%) purchased goods from online shopping malls. The purposes of search in online shopping malls were 'need to purchase goods(47.18%)', 'habit/hobbies(27.57%)', 'need to collect data on goods(20.27%)' and 'to relieve stresses(4.98%)'. About 50% of respondents selected 'I visit mainly several online shopping malls. If there is no goods that I try to find, I search other sites and purchase what I want to buy(46.57%).' For the goods purchased from online shopping malls, everyday wears showed the highest ratio, 85.92%. About the time to purchase goods related to trends, most respondents selected 'purchase whenever it is necessary without respect to trends(87%).' Main considerations when the respondents purchased the goods from online shopping malls were 'design(64.98%)', 'price(18.41%)', 'quality(11.20%)', 'company recognition(2.53%)', 'color(1.44%)', and 'materials (1.44%)' in that sequence. 64.62% of respondents had the experience of returning goods after purchasing from online shopping malls. The reason why the respondents returned goods after purchasing from online shopping malls was mainly 'because of size(52.17%)', the response with the highest ratio. 42.24% responded that they experienced damage by washing the goods purchased from online shopping malls. It was found that the respondents didn't think about the country of manufacturing when purchasing goods from online shopping malls.

• 산업경영시스템학회지
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• 제27권1호
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• pp.38-46
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• 2004

To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. This paper deals with an intelligent agent approach to incorporate customer's sensibility into an one-to-one recommendation service in on-line shopping mall. In this paper the focus of interest is on-line recommendation service algorithm for development of Human Sensibility based web agent system. The recommendation agent system composed of seven services including specialized algorithm. The on-line recommendation service algorithm use human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system's behavior requires the parallel execution of several tasks during the interaction (e.g., identifying the customer's emotional preference and dynamically generating the pages of the store catalog). Most of the present shopping malls go through the catalog of goods, but the future shopping malls will have the form of intelligent shopping malls by applying the on-line recommendation service algorithm.

• 한국의류학회지
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• 제33권7호
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• pp.1086-1097
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• 2009

Consumers have more choices for apparel products as e-shopping grows. This study examines the importance of apparel product attributes and classifies online apparel buyers into groups based on product attribute evaluation in various choice sets. For the empirical research, the online survey was conducted and Latent Gold Choice 4.0 was used for the choice-based conjoint analysis. Five consumer segments are found based on the choice selection of product attributes. The importance of product attributes (online shopping mall, brand, price, and style) and the preference of each product attribute level were different across segments. This research improves the knowledge of the purchasing behavior of online apparel buyers and provides proper attribute combinations of apparel e-shopping for each consumer segment.