• Journal of the Korean Society of Costume
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• v.65 no.5
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• pp.74-87
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• 2015

It is common for popular products to sell out, and be out of stock. The purpose of this study is to examine the responses of consumers who have experiences of shopping online, and finding their desired products unavailable from being sold out. In order to carry out the study, in-depth interviews were conducted with ten recruits who were recruited from the Internet community, Soul Dresser, which is part of the Korean web portal, Daum. First, the cognitive reaction of the interviewees showed both positive and negative responses when they found out that their desired product was sold out. However, in the case of emotional reaction, all of them showed negative reactions. Observations showed that consumers researched and found similar products including price when they realized that their desired products were not going to be re-stocked. And in cases of similar products not being available, the consumers looked to buy other types of products such as bags, shoes, and other accessories.

• Journal of Industrial Convergence
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• v.9 no.1
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• pp.33-66
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• 2011

As an information-oriented society is arrived. an internet market has been developed steadily. This advance of internet market made the augmentation of purchasing clothes, and thus the fashion trade has tried to use effectively the internet marketing as a new channel of profit increasement. However, the fashion trade did not utilize efficiently an internet as a marketing mediation so far. This results from the want of coping with consumer behavior on the internet community. To answer the necessity of analysis of consumer behavior, this thesis inquires the difference of buying clothes on the internet shopping mall according to the lifestyle of consumer. Then this thesis provides the strategy of internet marketing fitted to each lifestyle for making a good profit. The inquiry was conducted to university located on Seoul, and the lifestyle of undergraduate was categorized to five groups, that is, trendy, information-inclined, economical purchase, brand-inclined, and spirit-pursuit types. This thesis analyzed the difference of consumer behavior of each type according to various factor, and presented a marketing strategy fitted to each type from these analysis results.

• 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.

• Korean Business Review
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• v.17 no.2
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• pp.63-87
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• 2004

To create and maintain comparative supremacy as a strategic tool of business, many organizations have introduced informational technology and system. By using this system, Some companies got a beneficial value for achieving organizational goals but others could not obtain their effectiveness and efficiency. In particular, a lot of organizations that tried to make strategic supremacy with e-commercial trade are under hard condition because of poor profit. It implies that it is essential to identify and analyse the consumer who uses e-commercial trade. This paper, therefore, focusing on internet shopping malls between business and consumer as one of areas of e-commercial trades, shows the difference between consumer expectation and performance. The results of this study are as follows: First, as for the significant difference of influencing factors to consumer satisfactions according to the types of internet shopping malls, there is a meaningful difference in consumer anxiety and internet usefulness, but not in consumer service. Prior to verify the differences in detail on consumer's anxiety and internet usefulness, we examined that there is any difference between expectation and performance. T-test was used for the variants of consumer anxiety and internet usefulness, and its meaningful probability was 0.000, which means that both showed statistically significant difference. Based on the results, we also found that regardless of the types of internet shopping malls, consumer expectation was greater than performance. although the difference between expectation and performance was not equal according to the internet shopping malls. Second, a regression analysis was performed to understand the relation between consumer service, internet usefulness, consumer anxiety, and consumer satisfaction, it was found that consumer service, internet usefulness, consumer anxiety had significantly effected on consumer satisfaction. Third, To verify the relation between consumer satisfaction and repurchase-intentions, intentions to spread out, Pearson correlation analysis was used. it was found that consumer satisfaction had positive effect on both intentions. This study has some limitations because of the shorts of money and time. since the sample of this study was consumers who have ever bought one or more products via internet shopping mall, this sample was appropriate. but the major parts of sample were college students, and the sample size was so small. therefore this results should carefully be generalized. For further study, it is required to select more precise samples and to include more variables.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.2 s.150
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• pp.221-232
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• 2006

The purposes of this paper were to identity the present condition of the imported fashion luxury brands' market arid to analyze the differences of marketing strategies according to the types of retailers. We selected 3 department stores, 5 luxury brands, 5 stores in Dongdeamun Market, and 5 internet luxury shopping malls, and conducted key informant survey to 20 experts. The brands in department stores consisted the goods according to VIPs' pre-orders, sales of the previous year, and fashion trends, and offered the differentiated customer services to VIPs. The stores in Dongdaemun Market bought the products from the parallel importers or imported the goods from the original nations of the brands by themselves. The goods in stock and steady sellers were comprised of the main portion of all products, and leather goods were dominated. The price of goods in stock was about $30\∼50\%$ lower than the normal price of department stores, but the new products' price was only about 10$\%$ lower than that of department stores. Luxury shopping malls could be classified into two types; one conducted both product buying and commission sale, and the other conducted commission sale only. In former case, however, the product buying portion was under 30$\%$. Product assortments and the price strategy were similar to the stores of Dongdeamun Market, and CRM was conducted partially.

• Asia pacific journal of information systems
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• v.14 no.2
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• pp.1-20
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• 2004

Finding the factors to affect the success of the business web sites is critical to enhance their competitiveness. This paper categorizes these factors into 4 quality measures: system, information, service and entertainment. The success is measured via user's satisfaction and loyalty. It surveys 474 Internet users to explore the effect of the quality measures on web site success. We confirm the causal effect of quality factors on users' satisfaction and loyalty. Furthermore, a comparative study is performed for web site types, such as finance, e-commerce(shopping mall), and entertainment. We note that the effect differs in web site types.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.349-359
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• 2003

Finding the factors to affect the success of the business web sites is critical to enhance their competitiveness. This paper categorizes these factors into 4 quality measures: system information, service and entertainment. The success is measured via user's satisfaction and loyalty. It surveys 474 Internet users to find the effect of the quality measures on web site success empirically. We confirm the causal effect of quality factors on users' satisfaction and loyalty. Furthermore, a comparative study is performed fur Web site types, such as finance, e-commerce (shopping mall), and entertainment. We note that the effect differs in web site types.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.555-560
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• 2016

This study attempted to secure competitiveness in the cosmetics market and provide basic data needed to promote sales and PR after reflecting consumer demands and needs in the development of cosmeceuticals. For this, it investigated their perception regarding the ingredients and efficacies of cosmeceuticals and repurchase intention among a total of 193 adults in their 20-50s who have had prior experience of buying these types of products from an online shopping mall as the importance of cosmeceuticals is emerging. According to a survey on consumer perceptions regarding the ingredients of cosmeceuticals by gender, there was a clear difference between men and women. In particular, when asked about the ingredients of whitening cosmetics, the percentage of male respondents was as low as 30.8% with a significant difference between men and women (t=31.688,p<0.001). In addition, most consumers were very aware of the efficacies of the ingredients of cosmeceuticals on the skin. In terms of actual repurchase intention, however, a significant difference was found by gender and product type in 3 different cosmeceuticals. In other words, men were lower than women in terms of awareness of cosmeceuticals and repurchase intention. Therefore, the development of a plan which satisfies both men and women, easily labels ingredients and meets consumer needs and demands through proper pricing policy are needed during the development of cosmeceuticals.

• Journal of Distribution Science
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• v.15 no.6
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• pp.77-96
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• 2017

Purpose - This study aims to develop correspondence strategies to the environment change in domestic retail store types. Recently, new types of retails have emerged in retail industries. Therefore, trade area platform has developed focusing on the speed of data, no longer trade area from district border. Besides, 'trade area smart' brings about change in retail types with the development of giga internet. Thus, context shopping is changing the way of consumers' purchase pattern through data capture, technology capability, and algorithm development. For these reasons, the sales estimation model has been shown to be flawed using the notion of former scale and time, and it is necessary to construct a new model. Research design, data, and methodology - This study focuses on measuring retail change in large multi-shopping mall for the outlook for retail industry and competition for trade area with the theoretical background understanding of retail store types and overall domestic retail conditions. The competition among retail store types are strong, whereas the borders among them are fading. There is a greater need to analyze on a new model because sales expectation can be hard to get with business area competition. For comprehensive research, therefore, the research method based on the statistical analysis was excluded, and field survey and literature investigation method were used to identify problems and propose an alternative. In research material, research fidelity has improved with complementing research data related with retail specialists' as well as department stores. Results - This study analyzed trade area survival and its pattern through sales estimation and empirical studies on trade areas. The sales estimation, based on Huff model system, counts the number of households shopping absorption expectation from trade areas. Based on the results, this paper estimated sales scale, and then deducted modified probability model. Conclusions - In times of retail store chain destruction and off-line store reorganization, modified Huff model has problems in estimating sales. Transformation probability model, supplemented by the existing problems, was analyzed to be more effective in competitiveness business condition. This study offers a viable alternative to figure out related trade areas' sale estimation by reconstructing new-modified probability model. As a result, the future task is to enlarge the borders from IT infrastructure with data and evidence based business into DT infrastructure.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.4
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• pp.173-189
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• 2015

The purpose of this study is to present the classification and operation systems of fashion offline stores. This research analyzed fashion literatures, articles and papers published by fashion-related companies and interviewed fashion practitioners. This research can be used as information for practitioners of the domestic fashion brand and students of fashion majors. The classification and operation systems of fashion offline stores are as follows. 1. The types of fashion offline store is classified as a form of road shop, department store, complex shopping center, select shop, outlet, and fashion wholesale retail specialty store. 2. The road shop is classified flagship store, franchise store, direct sales store, and street brand store. 3. The department store is recently using strategy to improve the profit rate, as setting up the select shop, expand the import contemporary brand stores, the men's brand stores, SPA brand stores, the street brand stores, and the soho internet shopping mall brands instead of reducing the national brands. 4. Most forms of fashion offline stores enhanced the functions to combine the catering, cultural activities and purchasing the lifestyle-related products, as well as fashion items. 5. The types of the operation system in fashion offline stores is classified as direct operations, franchise operations, middle management operations, and fully insert operations. 6. Franchise operations are tended to decline, however middle manager operations are overwhelming.