• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.1
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• pp.147-159
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• 2021

After the 2020 Corona 19 pandemic, consumers' online consumption is increasing rapidly, and non-store online retail channels are showing high growth. In particular, social media is gaining its status as a social media market where direct transactions take place in the means of promoting companies' brands and products. In this study, changes in consumer behavior after the Corona 19 pandemic are different in choosing online shopping media such as existing online shopping malls and SNS markets that can be classified into open social media and closed social media when purchasing agri-food online. We tried to find out what type of product is preferred in the selection of agri-food products. For this study, demographic characteristics of consumers, perceived risk of consumers, and dietary lifestyle were set as independent variables to investigate the effect on online shopping media type and product selection. The summary of the empirical analysis results is as follows. When consumers purchase agri-food online, there are significant differences in demographic characteristics, consumer perception risks, and detailed factors of dietary lifestyle in selecting shopping channels such as online shopping malls, open social media, and closed social media. Appeared to be. The consumers who choose the open SNS market are higher in men than in women, with lower household income, and higher in consumers seeking health and taste. Consumers who choose the closed SNS market were analyzed as consumers who live in rural areas and have a high degree of risk perception for delivery. Consumers who choose existing online shopping malls have high educational background, high personal income, and high consumers seeking taste and economy. Through this study, we tried to provide practical assistance by providing a basis for judgment to farmers who have difficulty in selecting an online shopping medium suitable for their product characteristics. As a shopping channel for agri-food, social media is not a simple promotional channel, but a direct transaction. It can be differentiated from existing studies in that it is approached as a market that arises.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.172-181
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• 2022

This study aims to find out the design needs of millennials for flower services amid changes in the environment in which flowers are purchased online. To this end, first, the consumption tendency of millennials and online flower purchase trends were examined. In addition, focusing on flower bouquet products, the market status of flower delivery shopping malls, which are online flower product services, and regular flower subscription services, a new trend in the flower market, were investigated. Based on this, a survey was conducted to improve online flower services. As a result of the survey, it was found that millennials trusted branded products, preferred eco-friendly products, and tended to have strong design openness in improving online flower service design. In addition, millennials prefer natural bouquet designs mixed with large and small flowers to large and colorful roses, which are currently mainly sold at flower delivery shopping malls. Therefore, we hope that this study will improve the design of online flower services that meet the needs of millennial consumers, revitalizing flower purchases, and expanding to new online flower service design research.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.793-806
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• 2015

This study is to explore the effect of music characteristics (i.e., likeliness and familiarity of music) on the relationship between mood and attitude toward the product in the online shopping mall selling hand-made shoes. A total of 319 consumers participated in experiments with online shopping mall stimuli with a variety of background music. In results, consumer mood positively affected attitude toward the hand-made shoe products in the online shopping mall under background music. A moderating effect of music likeliness was found in the relationship between mood and product attitude, indicating that mood more strongly affected product attitude under more liked music than under less liked music. When consumers are listening to more liked music and are in good mood, they may build their attitudes toward products independently from their mood, whereas they may build positive attitude under good mood versus negative attitudes under bad mood if they are listening to less liked music. A moderating effect of music familiarity was not found in the relationship between mood and product attitude. Based on results, it was confirmed that the S-O-R model could be applied to explain the effect of background music on consumer responses in online shopping malls. Marketers may be able to select and adjust the likeliness and familiarity of background music to better serve consumers in diverse shopping conditions, referring to the study findings.

• CRM연구
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• v.3 no.1
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• pp.19-28
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• 2010

Recently, teenagers show big purchasing power in retail industry. Online shopping malls re also in similar situation. Therefore online shopping mall companies want to manage teenager customers properly. This study is about understanding current status of teenager customers in online shopping mall industry and deriving strategy for management of teenager customers based on the status. Successful CRM for teenager customers can be achieved by building a segmentation of customers along with their behaviors and needs. Each segment should be managed by proper communication plan which is differentiated in accordance with segment characteristics.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.171-182
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• 2019

As online shopping malls continue to grow in popularity, various chances of consumption are provided to customers. Customers decide the purchase by exploiting information provided by shopping malls such as the reviews of actual purchasing users, the detailed information of items, and so on. It is required to provide objective and reliable information because customers have to decide on their own whether the massive information is credible. In this paper, we propose a personalized recommendation method considering an item confidence to recommend reliable items. The proposed method determines user preferences based on various behaviors for personalized recommendation. We also propose an user preference measurement that considers time weights to apply the latest propensity to consume. Finally, we predict the preference score of items that have not been used or purchased before, and we recommend items that have highest scores in terms of both the predicted preference score and the item confidence score.

• The Research Journal of the Costume Culture
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• v.19 no.2
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• pp.346-359
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• 2011

The purpose of this study was to examine students' reasons and standards for purchasing their casual upper garments through online shoppin. A questionnaire composed of 26 items in five-point Likert type (14 items for measuring reasons, and 12 items for measuring standards for their purchase) was administered. The subjects were 422 male and female students attending middle schools, high schools and colleges located in the metropolitan region of Daegu. For a statistical analysis, a $3{\times}2$ two way ANOVA design (3 levels of schools: middle school, high school and college and 2 sexes: male and female) was involved, and Turkey's HFD multiple comparisons were made. The results showed that the reasons for students' purchasing casual upper garments through online shopping malls were as follows: quality, availability of discount coupons and points, other benefits such as special promotions, gifts, the easy return of goods and refunds, and also no trial of wearing shirts even at off-line stores. Significant differences in purchasing reasons through online shopping were found among middle schoo, high school and college students. There were also significant differences between male and female students mostly found in three variations of purchasing reasons: ease of availability of garments in contemporary fashion, convenient shopping without any restriction on time, and the decision to purchase with help from consumers' recommendations. Significant differences among middle school, high school and college students were found in the following standards for the students' decision to purchase their casual upper garments through online shopping: affordability, color, design, style, payment safety, and ease of maintenance (cleaning and ironing). Differences between male and female students were found to be significant in the following categories: affordability, fashionable, brand name, free delivery, product quality, coordination with other clothes, and consumers' recommendations on the products concerned.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.3
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• pp.105-113
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• 2012

There are many studies about the relationship between customer satisfaction and SCM, web site quality or online Word of Mouth (WOM). When a customer wants to purchase any product online, he has to watch the detail of a online shopping web by computer. So the web sits' quality can be very important for the customer to get enough information. Recently, internet shopping malls are very much prospered. To understand why these kinds of internet transactions become very popular, this study investigates a possible effect of such crucial factors as web site quality, supply chain management(or deliver service), and online Word of Mouth(WOM) of an internet shopping mall to its customer satisfaction and trust, eventually leading to purchasing product and services. This study develops a experimental research model and tests it based on 170 survey response using regression analysis.. The finding of this research implies that system quality, information quality, quick and correct, accurate delivery service, and online WOM are influential factors to the performance of online shopping mall, while design quality, cost of delivery do not affect relationship significantly.

• The Journal of Society for e-Business Studies
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• v.4 no.2
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• pp.1-22
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• 1999

In this paper, we review and classify shopping information services for electronic commerce in Korea. Shopping information services for electronic commerce can be divided into shopping mall information service and product information service. Shopping mall information service simply shows and suggests information on the shopping malls that it has in its data store. But product information service provides information about the items of the shopping malls the service has and therefore gives more powerful and convenient interfaces to users. Cutting-edge product information services can perform online comparison shopping facility, which searches and compares the items what the users want on the reasonable basis of economical criteria, such as price. Books, CDs, and Personal Data Assistant(PDA)s are the products of which the specification is clear enough to be described on the Web. And the comparison of the products by the information service is performed on the basis of "price" of the product item. The approach to design and implement product information service can be divided into two categories. The one is an application of data warehousing mechanism, which stores the product information on the regular basis of time and provide it when the users query over the Web-database gateway. The other approach is a shopping agent mechanism, which stores information on "how to shop" and the shopping agent collects the information of product items just after users query about the product and provide the information in real time or notify them by alerting service. Thirty nine shopping information services are compared and classified in this paper and they are extracted from "Naver" and "Yahoo! Korea". The final result shows that most services are just a simple shopping mall information service in growing stage, product information services with data warehousing are lack in product ontology in middle stage, and that product information services with shopping agent are in early stage.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.7
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• pp.1034-1045
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• 2008

The objectives of this study were to group female consumer types according to cosmetics benefits sought at online and off-line cosmetic shopping malls, and to investigate the differences in consumer values, cosmetic purchase behaviors, and demographic variables according to the consumer types. Subjects were 451 females residing in Seoul, of whom 212 were online shoppers and 239 were off-line shoppers. Five dimensions of cosmetics benefits sought were derived by factor analysis. These were functionality, economy, brand, fashion, and practicality. The female consumers were classified into four benefits sought types by cluster analysis of the five dimensions: T.1 'practicality sought type', T.2 'economy sought type', T.3 'brand function sought type', and T.4 'economic function sought type'. Economy sought consumers purchased cosmetics much more from online shopping malls than from off-line. The cosmetics expenses of practicality sought online consumers were low and many of them were in their 20's and middle-class. Economy sought online consumers preferred domestic brand, their cosmetics expenses were low, and many of them were career women. Practicality sought off-line consumers were high in independent value. Economy sought off-line consumers were low in independent value and social approval value, preferred domestic brand, and distributed more in college students than in career women. Brand function sought off-line consumers purchased cosmetics at department store and regarded social approval value as important. Economic function sought off-line consumers were distributed in middle-class and in diverse age range.

• Journal of Internet Computing and Services
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• v.20 no.1
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• pp.57-65
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• 2019

In the case of Domeggook B2B online shopping malls, it has a market share of over 70% with more than 2 million members and 800,000 items are sold per one day. However, since the same or similar items are stored and registered in different catalog entries, it is difficult for the buyer to search for items, and problems are also encountered in managing B2B large shopping malls. Therefore, in this study, we developed a catalog entry auto classification and recommendation system for products by using semi-supervised machine learning method based on previous huge shopping mall purchase information. Specifically, when the seller enters the item registration information in the form of natural language, KoNLPy morphological analysis process is performed, and the Naïve Bayes classification method is applied to implement a system that automatically recommends the most suitable catalog information for the article. As a result, it was possible to improve both the search speed and total sales of shopping mall by building accuracy in catalog entry efficiently.