• Journal of the Korean Society of Costume
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• v.61 no.4
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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.

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.1027-1038
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• 2006

There are many technical problems in the recommendation system based on very large database(VLDB). So, it is necessary to study the recommendation system' structure and the data-mining technique suitable for the large scale Internet shopping mail. Thus we design and implement the product recommendation system using k-means clustering algorithm and sequential pattern technique which can be used in large scale Internet shopping mall. This paper processes user information by batch processing, defines the various categories by hierarchical structure, and uses a sequential pattern mining technique for the search engine. For predictive modeling and experiment, we use the real data(user's interest and preference of given category) extracted from log file of the major Internet shopping mall in Korea during 30 days. And we define PRP(Predictive Recommend Precision), PRR(Predictive Recommend Recall), and PF1(Predictive Factor One-measure) for evaluation. In the result of experiments, the best recommendation time and the best learning time of our system are much as O(N) and the values of measures are very excellent.

• Journal of Family Resource Management and Policy Review
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• v.9 no.2
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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.

• The Journal of the Korea Contents Association
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• v.15 no.12
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• pp.73-80
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• 2015

Starting the popularity of Korean dramas exported to China in 1996, the Korean wave started around the world market. Afterwards, as the Korean culture itself as well as dramas rapidly emerged as contents of the Korean market, the foreign direct sale consumers who want to buy Korean goods directly online are increasing at an alarming rate. This study each selected 4 domestic shopping malls and 4 foreign famous shopping malls which were conducting a global marketing currently and compared/researched them in the design aspect in order to apprehend if domestic online shopping malls were properly meeting the consumer environment of the foreign market. As a result, it was revealed that domestic online shopping malls conducting the global marketing could not fully understand the internet environment by countries and were going through a limit of the information delivery by SMS, and could not use the visual signs actively which were useful to the meaning delivery. Accordingly, this thesis suggested a plan to actively utilize the variable element considering various screens to the design, plan to efficiently design the text for solving the language problem by countries, and plan to design using the developing IT technology as a solution to those problems.

• Information Systems Review
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• v.9 no.3
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• pp.99-132
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• 2007

As customer management rises by important issue in electronic commerce, virtue study about CRM have proceeded much. However, because existent researches were positive researches of most statistical base, There are some limitation that does not show dynamic change with CRM flow by flowing of time, and can not forecast propriety and future result about CRM strategy. Therefore, in order to overcome existent limitation on these CRM study, this study designed dynamic model which draws factors that compose CRM strategy of on-line shopping mall, and do based on technique in system dynamics so that can analyze dynamic change between these factors. Concretely, atomized customer focuses in the on-line shopping mall and does based on Permission marketing theory, and applied CRM of different level to atomized customers and know change of customer satisfaction measurement and discomfort degree accordingly. According to the result of Simulation practice, situation that achieve CRM strategy of different level by atomize customer more increase the customer satisfaction than situation that is not so. Dynamic pattern that presented in this study is expected that can verify validity about CRM achievement strategy of different level at each CRM point of contact & how Internet enterprise including on-line shopping mall is establishing CRM strategy reasonably.

• The Journal of Information Technology and Database
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• v.8 no.1
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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.

• Management & Information Systems Review
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• v.21
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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.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.2
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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.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.1
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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.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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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.