• International Journal of Contents
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• v.12 no.4
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• pp.45-52
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• 2016

This study focuses on finding ways to stimulate the growth of agricultural sectors in m-businesses, by analyzing and comparing the factors that influence the purchasing behavior of consumers in the open market, social commerce, and integrated shopping malls. Consumers at various mobile shopping malls answered a survey. Among the nine factors considered, one important factor was the frequency of purchasing agrifoods. Regression analysis produced three results. First, in the open market, in addition to various other advantages, the brand image, reasonable pricing, simple payment system, and convenience of using an app were important factors that influenced the purchasing behavior of the individual consumer. Second, in social commerce, the major factors influencing purchase were the reasonable pricing, quick delivery service, and convenience of using an app. Third, in integrated shopping malls, the brand image, guaranteed after-sale service, the variety of products, quick delivery service, and convenience of using an app were the significant factors.

• The Research Journal of the Costume Culture
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• v.20 no.2
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• pp.195-207
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• 2012

In South Korea, the growth of online shopping malls that are overtaking traditional offline distributors in sales requires the latter to concentrate on developing a variety of contents amidst the ever-changing and competitive market environment. First of all, attention should be paid to information on fashion item materials. This study examined the current status of online shopping malls with a focus on their three different types-specialized malls, general malls, and open markets-and investigated consumers' hedonic shopping motives and influence on fashion materials in terms of purchasing behavior. In doing so, this study surveyed men and women in their 20s-30s residing in Seoul or its surrounding cities and used a total of 255 questionnaires for statistical analysis. The statistical software program SPSS 15.0 was used to conduct frequency analysis, factor analysis, reliability analysis, and multiple regression analysis. The study results showed that in general and specialized shopping malls, consumers granted greater reliability and importance to fashion materials when their interest in shopping or attention to fashion items/brands was high and when they wanted rare items. In open markets, the more interest consumers had in shopping and the more sensitive they were to fashion information, the more dependent they were on prices; in other words, prices were found to have a greater influence on their purchase decisions than the quality of fashion materials. The findings of this study would be useful to marketers and distributors who are trying to develop their marketing strategies based on fashion material information, according to the different types of online shopping malls.

• Journal of the Korean Home Economics Association
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• v.43 no.7 s.209
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• pp.117-128
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• 2005

The purposes of this study were 1) to examine the conceptual structure of shopping value, fashion shopping mall attributes and emotions related to internet shopping, 2) to compare between hedonic consumers and utility consumers of fashion shopping mall attributes, emotions and purchasing intention and 3) to investigate the effects of shopping value, fashion shopping mall attributes, emotions and purchasing intention on purchasing behavior in internet fashion shopping malls. Data were obtained from 423 internet fashion shopping mall consumers who have bought products or visited an internet fashion shopping mall. The data were analyzed by using factor analysis, Cronbach's alpha, t-test and discriminant analysis. The results showed that shopping values perceived by internet fashion shopping mall consumers consisted of two factors: Hedonic value and Utility value. Internet fashion shopping mall attributes were composed of Visual information, Loading speed, Space composition, Product assortment, Checkout service and Help desk. Emotions were composed of Excitement Confidence, Displeasure and Uneasiness. There results demonstrated that hedonic consumers were more likely to perceive the factors of fashion shopping mail attributes, to experience various, emotions and to have more purchasing intention than utility consumers. Additionally, the findings suggest that shopping value is important in predicting the purchasing behavior of consumers' at internet fashion shopping malls. They gave insights into the promotion development of internet fashion shopping malls. Implications are drawn for the information useful to consumer behavior researchers and retailers of internet fashion shopping malls.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.133-161
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• 2005

This research is to investigate the effects of product involvement on the selection of online shopping malls. From the statistical analysis of 282 response data, it was found that consumers buying products with higher involvement tend to shop in a shopping mall with greater trust, which provide more information regarding their products and a wider variety of products. The other purpose of this research is to investigate factors of shopping malls which influence the buyer's purchase intention. The results of data analysis indicate that consumers are more likely to buy in a shopping mall with greater trust, with detailed product information, and with higher entertaining contents. The results of the study indicate that the shopping malls which give more detailed product information to their customers and establish greater trust will finally lead to a higher sales revenue because more expensive products will be sold.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.222-229
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• 2022

Through this technology development, companies that operate online shopping malls and prospective startups will support education, consulting and expert group matching so that they can solve various issues that may arise in the course of the entire business life cycle, from startups to closures. It is expected that differentiated consulting programs will be designed for companies that currently operate shopping malls and start ups, and customized consulting programs will be provided to improve the effectiveness of consulting while improving customer satisfaction. It is planning to develop a "successful start-up and operation helper" that helps successful start-ups. It is a system that primarily diagnoses problems of prospective entrepreneurs and operators through an automation system at the start-up and operation stage, and professional consultants participate to derive and solve problems, and takes care of all stages of shopping mall birth and growth. In this paper Metaverse based shopping mall Creation is also discussed. Through Big Data creation these accumulated data, we intend to help operators start and operate shopping malls through accurate information by managing all knowledge of shopping malls as a system in the long run.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1998.10a
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• pp.52-55
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• 1998

New electronic commercial paradign is now diffusing based on the rapid growth of computer network infrastructure and, therefore, online shopping malls are aggressively expanding all over the world. In this paper, we identify facilitating factors that affect active utilization of online shopping mall considering customers' needs and convenience such as service availability, information relevance to customers' needs. and system convinience. Empirical data analysis was performed for nine Korean online shopping malls. Results suggest that current shopping malls should concentrate on delivering relevant information to the customers needs and developing convenient shopping mall systems.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.239-246
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• 2010

This research sees that even interactivities have differences by the types of internet shopping malls and compared and analyzed the interactivities by classifying them into open market and special malls. The research survey was conducted aiming at those who purchased products in Internet shopping malls within the latest 6 months, and, then, a statistical analysis was carried out. The analysis result showed the interactivity in internet shopping malls was deduced as 2 perspectives while it was confirmed that there are differences according to shopping mall types. For open markets, interactivities of both 'between company and customers' and 'between customers and customers' have significant influences on the satisfaction degree. Especially, the interactivity of 'between company and customers' have higher influences on the satisfaction degree. However, for the specialty malls, it was shown that only the interactivity of 'between company and customers' have significant influences on the customer satisfaction degree. Additionally, it was confirmed that the satisfaction degree toward a shopping mall has positive influence even on future recommendation intentions. Such research results confirmed that distinctive strategies which consider the patterns of shopping malls should be applied in order for a company to effectively utilize the interactivity in internet shopping mall markets.

• The Research Journal of the Costume Culture
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• v.16 no.4
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• pp.775-783
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• 2008

Nowadays much amounts and various kinds of fashion products are sold through cyber shopping malls. Vendor type and intermediate type cyber shopping mall among many types of cyber shopping malls were selected to analyze assortment and price of fashion products. fashion products 'Best 100' from two cyber shopping malls were listed and classified. The results were as followed: First, the portion of fashion products at vendor type cyber shopping mall was higher than that of intermediate type. Second, fashion products items such as coat, Jacket, one-piece dress, sweater, t-shirt, pants, skirt, and underwear were sold at cyber shopping malls. Underwear and t-shirt were the best selling items at intermediate type shopping mall, and more expensive and fashionable coat, Jacket, and one-piece dress were the best selling items at vendor type shopping mall. Third, the price range of fashion items at vendor type shopping mall was higher than that of intermediate type shopping mall from 1,000 won to 99,000 won.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.2
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• pp.161-174
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• 2014

This study performs an investigative research on the shopping value of consumers who purchase fashion/beauty products using group buying social commerce among the types of social commerce and private shopping malls. We provide basic knowledge on consumer behavior using social commerce newly appeared as shopping channels. For the method, the research was performed by designing a sequential integration method of conducting quantitative verification after qualitative research. As a result of qualitative research, multiple shopping values have been shown as the common shopping values of consumers using two types of shopping malls. The dimensions are price, quality, convenience, interaction, information, reliability, hedonic and impulse buying values. A total of eight sub-dimensions have appeared due to performing quantitative verification on the shopping value of group buying social commerce. The dimensions are same as the results from the qualitative research. The shopping value of consumers who purchase fashion/beauty products using private shopping malls has been classified into seven dimensions (except interaction value).

• Journal of the Korean Society of Costume
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• v.63 no.5
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• pp.61-71
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• 2013

As an emerging e-retail model, private shopping malls are transforming the traditional retail systems. These malls are expanding in Europe and the United States and have recently arrived in Korea. This study investigates the relationships among the usefulness of SNS(Social Networking Sites), shopping values, and purchase intentions for fashion products in private shopping malls. The analysis was based on a survey of consumers, aged between 20 and 39, who recently purchased fashion products from a private shopping mall. Two hundred samples were used in the final analysis. The study employed descriptive statistics, Cronbach's alpha, confirmatory factor analysis, and structural equation modeling. The relationships among usefulness of SNS, shopping values, and purchase intentions was verified through structural equation modeling. More specifically, the usefulness of SNS significantly influenced the utilitarian shopping values as well as purchase intention of fashion products. Utilitarian shopping values, in turn, significantly influenced hedonic shopping values and purchase intention. Further, hedonic shopping values had a significant effect on purchase intention.