• The Research Journal of the Costume Culture
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• v.16 no.3
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• pp.559-573
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• 2008

Internet apparel businesses are required to provide various kinds of consumer information which includes both product information and customer service information. "New Age Elderly" who become an aged man in 21th century are familiar with internet and other high technological tools from their life time experience with technological development and ready to enjoy the convenience the technology offers. As a preliminary step to develop internet consumer information model for elderly consumers, this study examines the US and Korea apparel e-tailing sites targeting elderly consumers. Ten Korean sites and nine US sites were selected and compared for their provision of consumer information in terms of contents, ease to access, and the completeness of the information. Results of data analysis indicate that elderly market in Korea is not yet clearly defined compared to the US. In Korea, elderly consumer market is considered as a part of middle-aged market, and there was no unique target marketing efforts observed. Korean sites are better than the US's sites in terms of shopping information, while the US sites offer detailed information about the company, and customer service information. In both countries, fashion related information is lacking and failing to satisfy fashion conscious elderly consumers. Managerial implications were discussed.

• Journal of information and communication convergence engineering
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• v.3 no.3
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• pp.152-156
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• 2005

Korea-China with the fastest speed Internet Broad Band, has achieved many progresses on Internet shopping. Especially, Korea has made a great effort on comparison website construction. A research prototype design and exploratory analysis are presented to assess success factors and impacts of Korea and China price comparison websites. For different user groups, the relationships between the characteristics of technology and tasks, usage, and organizational impacts were analysed. It shows us how to improve the applicability of fit-viability of the price comparison web sites in China after analysis. These results indicate a need for simple but highly functional price comparison applications. And we designed a sample model to include an interactive web service system for price comparison sites that complement existing information systems. This paper provides a basis for further research aiming to improve the design and management of business applications based on emerging technologies of web service and browser for information management.

• Journal of Korea Multimedia Society
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• v.16 no.11
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• pp.1315-1324
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• 2013

This paper mainly focuses on the system quality factors of a website targeted at shopping mall websites in China and Korea. We categorized six system quality factors and formulated hypotheses regarding how those six factors are different. We also conducted an empirical study to verify hypotheses. Statistical data for an empirical study targeted at undergraduate students in Korea and China, having filled in a questionnaire. Reliability of the collected data was measured, and a T-test of the established hypotheses was carried out. The following describes the results that were found. While the shopping mall websites of two countries showed a difference in terms of quick transition of the web pages or images, ease of use, reliability, and accessibility, they did not show the difference in term of accuracy and the short cut function. We analyzed the causes of the verified results and suggested a strategy to implement the effective shopping mall web sites.

• The Journal of Society for e-Business Studies
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• v.4 no.3
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• pp.179-196
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• 1999

A cyber shopping mall is a place where consumers acquire the product information and make purchase decision in the cyber space. Even though there are many advantages over traditional malls, there are still several limitations to do shopping in an existing cyber mall. One of them is the absence of efficient search tool to handle various products specifications. Existing search systems usually support the "keyword search only" with limited product information. Consumers spend lots of their time and efforts in searching products and comparing them. Recently, some web sites provide the shopping mall comparison service that supports the additional search conditions such as price and maker. These services improve the situation but it is not still acceptable. In this paper, we propose an intelligent product search system based on a mediator which supports various conditional search for each product. Our system provides consumers with search results that satisfy purchase specifications. Our system is implemented in Visual basic and pert and experimental results show satisfactory performance.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.123-136
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• 2014

Recently, online shopping has further developed as the use of the Internet and a variety of smart mobile devices becomes more prevalent. The increase in the scale of such shopping has led to the creation of many Internet shopping malls. Consequently, there is a tendency for increasingly fierce competition among online retailers, and as a result, many Internet shopping malls are making significant attempts to attract online users to their sites. One such attempt is keyword marketing, whereby a retail site pays a fee to expose its link to potential customers when they insert a specific keyword on an Internet portal site. The price related to each keyword is generally estimated by the keyword's frequency of appearance. However, it is widely accepted that the price of keywords cannot be based solely on their frequency because many keywords may appear frequently but have little relationship to shopping. This implies that it is unreasonable for an online shopping mall to spend a great deal on some keywords simply because people frequently use them. Therefore, from the perspective of shopping malls, a specialized process is required to extract meaningful keywords. Further, the demand for automating this extraction process is increasing because of the drive to improve online sales performance. In this study, we propose a methodology that can automatically extract only shopping-related keywords from the entire set of search keywords used on portal sites. We define a shopping-related keyword as a keyword that is used directly before shopping behaviors. In other words, only search keywords that direct the search results page to shopping-related pages are extracted from among the entire set of search keywords. A comparison is then made between the extracted keywords' rankings and the rankings of the entire set of search keywords. Two types of data are used in our study's experiment: web browsing history from July 1, 2012 to June 30, 2013, and site information. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The original sample dataset contains 150 million transaction logs. First, portal sites are selected, and search keywords in those sites are extracted. Search keywords can be easily extracted by simple parsing. The extracted keywords are ranked according to their frequency. The experiment uses approximately 3.9 million search results from Korea's largest search portal site. As a result, a total of 344,822 search keywords were extracted. Next, by using web browsing history and site information, the shopping-related keywords were taken from the entire set of search keywords. As a result, we obtained 4,709 shopping-related keywords. For performance evaluation, we compared the hit ratios of all the search keywords with the shopping-related keywords. To achieve this, we extracted 80,298 search keywords from several Internet shopping malls and then chose the top 1,000 keywords as a set of true shopping keywords. We measured precision, recall, and F-scores of the entire amount of keywords and the shopping-related keywords. The F-Score was formulated by calculating the harmonic mean of precision and recall. The precision, recall, and F-score of shopping-related keywords derived by the proposed methodology were revealed to be higher than those of the entire number of keywords. This study proposes a scheme that is able to obtain shopping-related keywords in a relatively simple manner. We could easily extract shopping-related keywords simply by examining transactions whose next visit is a shopping mall. The resultant shopping-related keyword set is expected to be a useful asset for many shopping malls that participate in keyword marketing. Moreover, the proposed methodology can be easily applied to the construction of special area-related keywords as well as shopping-related ones.

• Journal of Intelligence and Information Systems
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• v.10 no.1
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• pp.13-25
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• 2004

In the online shopping environment, consumers suffer from the process of selecting an optimal supplier. Although comparison shopping agent-based web sites and consumers' online community sites support the selection process, they have limitations when considering diverse and dynamic purchase conditions as a whole, which is the cause of additional consumer effort for optimal supplier selection. This study provides a decision support model with a sensitivity analysis for selecting an optimal supplier considering purchase conditions as a whole. It screens suppliers with filtering factors and provides optimal suppliers through a sensitivity analysis from a Quadratic Programming model. We implemented a prototype system and showed that it could be an effective decision support system for selecting the optimal supplier in the online shopping environment.

• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.631-636
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• 2001

The technologies relevant to e-business have rapidly developed during very short period of time and recently it is expanding to the area of B2B. Keeping pace with this development in e-business, the information of comparison or analysis on commodities of a lot of sites is also required. Though the information on price comparison among internal shopping malls are now being offered, its not efficient for its renewing intervals are long and, due to some indiscreet collection of information for the purpose of fast renewal, much loads are being generated on the pertinent shopping malls. In this article, the retrieval engine on demand is designed and realized using a dynamci robot agent changing kinetically on the status of the pertinent shopping malls that can offer the customized service and presents the shopping malls with the lowest price for each commodity under e-business after the shortest time of collection and analysis while not giving loads to the pertinent shopping malls.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.733-741
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• 2012

In recent, many consumers visit the online shopping malls or price comparison sites to collect the information on the product category that they are interested in. However, the volumes of the data provided by such web sites are often too enormous, and significant number of consumers have trouble in making purchase decision based on the plethora of products and sellers. In this context, modern online shopping agents need to process the retrieved information in more intelligent way before providing them to the users. This paper proposes a novel approach for identifying the main price ranges hidden in a single product category. To this end, the price of an item in the category is represented as a row vector and k-means clustering analysis is applied to the price vectors to produce the clusters that consists of the product items with similar price vectors. Then, the main price ranges of the product category can be identified from the result of clustering analysis. In general, the price is one of the most important factors in the consumers' purchase decision, and the identified main price ranges will be helpful for the online shoppers to find appropriate items effectively.

• Journal of Information Technology Services
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• v.19 no.2
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• pp.11-21
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• 2020

This study explores the effect of time-deals, i.e., online promotions with time limit. Recently many online/mobile shopping sites in China utilize so called hot deal marketing technique for a short duration at a specific time. The purpose of "time-deals" is to attract online shoppers with deep discounted price and induce consumers to purchase items. This paper examines the effect of time-deals on sales volume, firstly by comparing the sales volume of time-deal days with that of no time-deal days and secondly by comparing the sales volume of days before and after two types of time deals, usual time-deals and special time-deals, Although some prior research studied the role of time-deals in promoting consumers' purchase behavior, most used the experimental approach by building mock-up shopping sites and asking participants purchase intention. However, purchase intention does not always result in purchase behavior. This study extracted actual purchase data for four items on time-deals from an online shopping site in China. A comparison of sales volumes on time-deal days with no time-deal days has shown the significant difference in the sales volumes. This finding confirms the positive effect of time-deals on purchase behavior. This study has also found that special time-deals soak up near-future demands in advance and lower the sales after the special time-deal event, although there is no significant difference in sales before and after usual time-deals.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2048-2061
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• 2014

This paper redefines the concept of social shopping as the part of social commerce and identifies the significant factors to the customer satisfaction and repurchase intention for the social shopping using the factor analysis based on the selected elements from the previous research results. Structural equation modeling(SEM) result shows that 3 significant factors to the customer satisfaction are price, convenience of web site use and fun. But Security, reliability, diversity did not affect significantly satisfactorily. From the resulting factors to the customer satisfaction, users of social shopping seems to be satisfied with site entertainment like looking around and comparison shopping. The main purpose of visiting social shopping sites is considered as not only purchase of goods or services but also entertainment in the community and cyberspace. The results of this study, it provides an indication of the aspects of marketing that can be used in social shopping practice.