• Management Science and Financial Engineering
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• v.11 no.3
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• pp.95-107
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• 2005

As online shopping malls have emerged as a substantial shopping channel, they have used various sales promotion strategies to acquire new customers. Most of these strategies have been applied by offline malls for years. One, loss-leader pricing, is a type of promotional pricing in which stores sell well known products below their marginal cost, in order to attract customers and induce them to purchase more goods through impulse buying. This strategy is based on the expectation that customers will factor transaction costs into their purchasing decisions. However, its application to online malls fails to recognize that transaction costs are lower online, and that customers will behave differently as a result. Our study predicts that loss-leader pricing will not work online because online malls entail lower searching and moving costs than offline malls The study examines the effectiveness of loss-leader pricing with empirical data from a survey as well as log data from a Korean online shopping mall. The results show that while loss-leader pricing does attract customers to online shopping malls, it encourages cherry-picking rather than impulse purchases of regular-price goods.

• Journal of the Korean Home Economics Association
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• v.45 no.5
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• pp.95-119
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• 2007

The purpose of this study was to investigate the shopping values(utilitarian and hedonic values) sought and the risks(economic, functional, socio-psychological, and privacy) perceived by consumers who participate in Internet auctions by determining the factors that affect their shopping values and risk perceptions. Empirical data were collected by an Internet survey of netizens who were interested in and had experience in Internet auctions. Questionnaires were distributed to the subjects through an Internet survey site and at an Internet auction cafe. A total of 300 questionnaires were analyzed. The results showed that consumers showed a slightly greater pursuit of a utilitarian value than a hedonic outcome in their Internet auction practices; however the outcomes pursued by consumers in their teens and twenties tended to be more hedonic than utilitarian. Consumers with a higher level of innovation, self-confidence in purchase, and need for information searching showed a greater pursuit of utilitarian and hedonic outcomes. The group of consumers with a higher expectation for legal protection pursued a more utilitarian outcome, whereas the group of consumers with higher influence from the reference group pursued a more hedonic outcome. The consumers showed that they perceived functional risk as boing most serious, followed by privacy risk, economic risk, and socio-psychological risk. Subjects with higher degrees of innovation, self-confidence in purchase and self-control perceived economic risk as critical. Functional risk was perceived to be highest in the group of consumers with self-control and a need for information searching, whereas socio-psychological risk was perceived to be highest in the group of consumers showing more self-control. Privacy risk was perceived to be highest in the group of consumers with a higher degree of innovation and lowest in both groups of higher and lower affection. Both economic and privacy risks were perceived to be lower in the group of lower pursuit of a hedonic outcome.

• 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.

• Journal of Korea Multimedia Society
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• v.7 no.2
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• pp.145-155
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• 2004

It is very important for Internet searching systems to have user-friendly and rapid searching functions at the managers'point of view. The former finds optimized input parameters to support the various searching requirements of user. The latter has fast searching results which are effectively normalized to various input parameters having different attributes. In this paper we basically focus on optimized database construction not only to have searching functions with multiple attributes to support maximal various input requirements of the user but also to have more rapid searching functions. For this research, we suggest a modified association algorithm that takes into consideration to the support and confidence that is the criteria of the association mining rule in order to reflect the searching characteristics of internet shopping malls. We also propose the model management systems for rapid searching functions. The following results are from a processed simulation: the more the number of searching transactions of the users increase, the less the total relative average searching time becomes.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.173-177
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• 2012

This paper proposes a service which searches goods by images and finds a shopping mall site that offers referral services. In the service, images are obtained in various types. For example, paint function, images search based on pattern and shape. For this shopping mall system, it will be modeled using UML use case and class diagram. Also it will be implemented in JSP. It supports functions that searched various types of images by pattern and shape. In addition to features which were mentioned above, we aim to implement a shopping mall system to search and buy goods by improved information searching techniques, ultimately providing a space that realizes user's painting.

• Journal of the Korean Society for information Management
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• v.32 no.4
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• pp.289-305
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• 2015

This study aims to investigate information seeking behavior of Popshoes users. Transaction logs of Popshoes, a major Korean shopping search engine, were analyzed. These transaction logs were collected over 3 months period, from January 1 to March 31, 2015. The results of this study show that Popshoes users behave in a simple and passive way. In the total sessions, more users chose to browse a directory than typing and submitting a query. However, queries played a more crucial role in important decision makings such as search results clicks and product purchases than directory browsing. The results of this study can be implemented to the effective development of shopping search engines.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.3
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• pp.59-73
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• 2007

The purpose of this study is to find out the promotion methods for successful management of 'the fashion saho internet shopping mall' with a small capital. This study analyze the research reports, the news items, the documents on the internet shopping mall and data on promotion method which are offered by the hosting companies of the internet shopping mall like 'Cafe 24', 'Make shop', 'Whoismall' and the promotion consulting companies like 'Whoisad', 'Naver keyword shop'. And also analyze the data that interviewed the administrator of internet shopping mall and directly observed the famous internet shopping mall sites. Generally speaking, the promotion mix, marketing communication program can classify 'advertisement', 'publicity', 'personal selling', and 'sales promotion'. This study analyze the research materials on the basis of advertisement, publicity, personal selling, and sales promotion. The result are as follows. 1. The promotion methods at the stage of information the shopping mall site to the consumer are advertisement, and publicity. ${\bigcirc}$ The methods of advertisement are 'searching engine registration', 'advertisement of key word', 'advertisement of overture', 'advertisement of banner', 'advertisement cooperation marketing', 'advertisement of e-mail'. ${\bigcirc}$ The methods of publicity are using 'cafe', 'blog', 'Naver information site', 'community bulletin board', 'the fashion magazine or a press report' and 'cosponsorship'. 2. The main promotion methods at the stage of inducing the purchase are 'personal selling', and various 'sales promotion'. ${\bigcirc}$ 'Personal selling' at the shopping mall have an effect on the communication at bulletin board over the internet and the telephone. ${\bigcirc}$ 'Sales promotion' are attempted by 'VMD', 'deposit system', 'sale', etc.

• Asia pacific journal of information systems
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• v.15 no.1
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• pp.63-79
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• 2005

Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering is known to be the most successful recommendation technology, but its widespread use has exposed some problems such as sparsity and scalability in the e-business environment. In this paper, we propose a recommendation system, WebCF-PT based on Web usage mining and product taxonomy to enhance the recommendation quality and the system performance of traditional CF-based recommender systems. Web usage mining populates the rating database by tracking customers' shopping behaviors on the Web, so leading to better quality recommendations. The product taxonomy is used to improve the performance of searching for nearest neighbors through dimensionality reduction of the rating database. A prototype recommendation system, WebCF-PT is developed and Internet shopping mall, EBIB(e-Business & Intelligence Business) is constructed to test the WebCF-PT system.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.722-727
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• 2008

As computer technology and internet industrial are growing, we can buy all kinds of merchandise very easily, However. To find relevant merchandise what we want is very difficult process in various internet mall and greate amount of merchandises. Searching merchandise using some keyword makes a lot of list in limited category, but we can not sure that searching results are relevant or not. For this reason, we proposed a interface using color information of goods that is able to search merchandise effectively.

• Korean Institute of Interior Design Journal
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• v.14 no.1
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• pp.81-90
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• 2005

This study was intended to suggest the design guidelines of digital home on the basis of digital-related human behavior. In order to achieve this, what and how often internet was used in the home, how living pattern and space usage was changing according to digitalization were examined and lastly, the design guidelines of digital home based on these findings were suggested. The subjects were 400 housewives who lived In 85m'-sized housing unit of the new apartment complex in Busan. They were average age of 38 and their eldest children were in the stage of elementary schooling or preschooling. Many of them had relatively high educational level and middle income level. The results of the study were as follows; 1) The respondents used internet more frequently for information searching, children's education, and Internet shopping. Therefore, it would be desirable to divide zoning of housing unit into space for routine activities, space for working, and for cultural activities. 2) Digitalization changed human living pattern like follows; it reduced time of shopping, information searching, banking, and going out. Also, it increased time of spending alone, watching movie, and playing game. Therefore, digital home should be designed to facilitate social Interaction between family members, cultural and recreational activities, and indoor or outdoor exercise within each housing unit or in apartment complex.