• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1231-1238
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• 2021

Recently, large online shopping malls are providing image search services as well as text or category searches. However, in the case of an image search service, there is a problem in that the search service cannot be used in the absence of an image. This paper describes the development of a system that allows users to find the clothes they want through hand-drawn images of the style of clothes when they search for clothes in an online clothing shopping mall. The hand-drawing data drawn by the user increases the accuracy of matching through neural network learning, and enables matching of clothes using various object detection algorithms. This is expected to increase customer satisfaction with online shopping by allowing users to quickly search for clothing they are looking for.

• The Journal of Information Systems
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• v.21 no.3
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• pp.71-97
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• 2012

There has been an upward trend in smartphone sales in Korea as well as the rest of the world. Even though smartphones are now at the peak of their popularity, the fact that they are somewhat limited in terms of their usages for certain purposes is unexpected. Precisely, compared to PC, smartphones typically have smaller display screens with a lower resolution, which make them difficult to use in general. For instance, when customers search the information about products in mobile shopping malls, due to the smaller screen with a low resolution smartphone users may realize that it is not easy and convenient not only to search the information, but also to read the information they found in the shopping malls. This restriction could become one of reasons that lowers the perceived quality of information in the shopping malls, which in turn leads to the reluctance to use the shopping malls. A comprehensive information systems (IS) literature review found that there has been little empirical evidence on perceived information quality that affects smartphone users' intention to use mobile shopping malls. The purposes of this study is to examine 1) the effects of perceived information quality on smartphone users' intention to use mobile shopping malls and 2) the relationships among behavioral beliefs in the middle of independent and dependent variables, such as information satisfaction, perceived usefulness, and customers' attitude toward mobile shopping. A survey was conducted in March 2012. College students and practitioners took participated in the survey. Structural Equation Modeling(SEM) was used for all data analysis. The results found that there is a strong relationship between perceived information quality and smartphone users' intention to use mobile shopping malls. In addition, this study also showed that there are strong relationships among behavioral beliefs. Further research is expected to validate the findings of this study and apply them in specific contexts.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.407-413
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• 2019

The purpose of this study is to measure the shopping experience of a more specific SNS shopping service, limited to shopping through the Instagram of the Millennial Generation. Based on the AISAS purchasing phase, a qualitative study was conducted on the user experience of SNS shopping services in parallel with the survey and in-depth interviews. As a result of the study, the aesthetic experience appeared mainly in the Attention stage and the Interest stage, the emotional experience in the Action stage and the Share stage, and the cognitive experience in the Search stage. While there have been many empirical studies on the impact of SNS on consumer behavior to date, this study is meaningful in that it has led to a contextual study of the user experience on SNS shopping services. The research is expected to help establish a brand and service strategy differentiated from existing mobile shopping services when providing SNS shopping services in the future.

• The Journal of Society for e-Business Studies
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• v.8 no.1
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• pp.55-70
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• 2003

With the gradual growth of the electronic commerce various forms of shopping malls are constructed, and their searching methods and function are studied many ways. However, the recent outcome is still inadequate to search for goods for the tastes and demands of customers. To construct the shopping mall on the electronic commerce and help customers with purchasing goods, the efficient interface for the customers to contact the shopping malls should be founded and the customers should be able to search the goods they want. Therefore, in this paper, we designed the Intelligent Integration Agent System (IIAS) using the multi-agent formed by the integration agent which integrates the case based reasoning(CBR) and the rule based reasoning(RBR) and the user agent which manages users' profiles. IIAS performs the rule based reasoning on the subject issue first, then provides the unsatisfying search results from the rule-base reasoning to the customers through the user agent, which enables the search of the goods most similar to the ones that meet the tastes and demands of the customers. That is, the accuracy and the speed has been improved by reasoning with the similarity adjustable integration agent which can pick out the goods of customers wants by modifying the weights of properties according to those of the customers.

• Information Systems Review
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• v.7 no.1
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• pp.97-113
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• 2005

This paper designed and implemented(programmed) a comparative shopping agent that helps consumers to shop at on-line shopping malls over Internet. At offline stores, as consumers usually tell a sales clerk about a manufacturer, functions and price range of an item they want to purchase, the sales clerk will show the products or relevant catalogues. Then the consumer will compare functions, design and prices of the product and buy it with the lowest price. PriceMeter, a comparative shopping agent, introduced in this paper, is designed best geared to this consumers' buying behavior. Basically, as consumers enter a manufacturer's name, price, features and etc. at a search window, PriceMeter will search the web and provide a list of product informations such as features and prices that meet the search conditions. Consumers can see the information in either a form of catalogue or a printing format. As consumers click specific items to examine closely, it will show prices and information about shopping malls that sell the requested items. Clicking a 'Buy' icon, the consumers will be transferred to the right web page at the linked shopping mall. The emergence of the comparative shopping agent will expedite a consumer-centered retailing economy in the age of e-commerce. As consumers are provided with a better set of product and shopping mall information, they can make better purchasing decisions and gain more bargaining power shifted from manufacturers(sellers). The presentation of this comparative shopping agent is intended to promote the consumer-centered B2C e-commerce.

• The Journal of the Korea Contents Association
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• v.8 no.3
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• pp.173-181
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• 2008

This study aims to prove the connection between satisfaction and re-visit intention of customers by examining shopping value and store image depending on product types purchased at Internet shopping malls. The finding of this study revealed that shopping value could be classified into hedonic and utilitarian value, while store image could be extracted into six dimensions such as reputation, product and information service, customer service after purchase, atmosphere, convenience, and safety. Both search goods and experience goods among store image factors were found to have stronger effect on utilitarian shopping value than hedonic shopping one. In addition, it was found that store image and shopping value had an effect on customer satisfaction and re-visit intention depending on product types, with a significant difference. These findings are expected to provide marketing complications for the understanding of differentiated market segments in the Internet shopping mall market, which is facing ever-growing market.

• The Research Journal of the Costume Culture
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• v.21 no.1
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• pp.129-138
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• 2013

Consumers' perception of risk plays a major role in how they make online purchase decisions. Since online shopping is perceived to be riskier than in-store shopping, consumers engage in a variety of risk reduction strategies such as searching online for alternative products and alternative e-tailers. This study examines the influence of risk involvement on risk reduction strategies and customer satisfaction. It discusses three aspects of risk reduction strategies: time spent in making a purchasing decision, searching for alternative e-tailers, and searching for alternative products. Data from 294 female shoppers who had experience in purchasing fashion products online was analyzed. This study found that risk involvement had a positive influence on the time spent in making decisions, while the influence of risk involvement on searching for alternative retailers and alternative products was not significant. However, consumer satisfaction was negatively related to search for alternative retailers and positively related to risk involvement. This study provides a better understanding of customers' risk involvement and risk reduction strategies in online shopping. This information would be beneficial for marketers and retailers to reduce customer perception of risks and to promote online sales.

• 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 Korea Fashion and Costume Design Association
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• v.15 no.3
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• pp.51-67
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• 2013

This study aims to examine impacts of the Internet shopping orientation of Korean and Chinese consumers on their selection criteria of shopping malls and apparel products, frequencies and amounts of purchase, and information search in the Internet shopping mall. A survey was carried out with Korean and Chinese female consumers in their 20s and 30s who have the Internet shopping experiences. The results of this study were as follows: First, the Internet shopping orientation of Korean and Chinese respondents clearly showed factorial structures including the pleasure-conscious, fashion-conscious, price-conscious, and convenience-conscious orientation. From a result of the cluster analysis on four factors of the Internet shopping orientation, Korean and Chinese respondents were classified into three groups of the Internet shopping-unconscious, the Internet shopping-loyalty, and pleasure convenience-conscious. Second, there were significant differences in selection criteria of both the Internet shopping mall and apparel products among three groups of the Internet shopping orientation in Korea and China. Third, significant differences were identified in visiting frequencies, apparel purchase frequencies and amounts, payment methods, and information sources during the Internet shopping among three groups of the Internet shopping orientation in Korea and China.

• Journal of Fashion Business
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• v.21 no.1
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• pp.124-133
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• 2017

This study analyzed consumers' online fashion shopping site usage by site type and analyzed how product information search and product purchase differ. In addition, by comparing and analyzing preference and selection factors of PC and mobile shopping, we tried to provide basic data of effective mobile commerce operation strategy according to expansion of mobile market in fashion industry. We surveyed the use of 6 types of online sites (portal site, open market, general shopping mall, social commerce shopping mall, brand shopping mall and non-brand shopping mall) to understand the usage of mobile shopping site for consumers' fashion products. Consumer survey subjects were 373 college students in their early 20s who had the most mobile shopping experiences. The questionnaire consisted of online fashion site usage items, internet and mobile fashion shopping preference (6 items), internet and mobile shopping choice behavior (10 items), and purchase intention (3 items) .Data were analyzed using SPSS 14.0 program. The high preference of portal sites, open market, social commerce, and non-brand shopping malls in shopping online fashion products is a result of the perceptual changes of major distribution channels and the trends of consumers' value consumption tendency. Therefore, it is necessary for fashion companies to actively cope with fashion product distribution competition with huge shopping sites of current online market by well understanding consumers' preference trends and factors of online sites.