• Journal of the Korean Home Economics Association
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• v.44 no.4 s.218
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• pp.175-190
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• 2006

The purpose of this research is to investigate consumers' experience of using Internet used-item markets in order to determine their motives in such activity. In terms of the Internet used-item market, (1) it contributes to a sound culture of consumption by recycling, (2) as a C2C market, it retains characteristics fundamentally different from the existing one-way type of market, (3) and it offers different characteristics from existing offline-based flea markets. Two significant themes emerged from the study results. First, users of Internet used-item markets passed through various stages such as novice, addict, and expert and learned the techniques for utilizing the used-item market. Second, for fast transactions with generalized Internet banking and the increasing trend for price bargaining emotional exchange among members is being transformed into the pursuit of transactional efficiency.

• Journal of Fashion Business
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• v.22 no.2
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• pp.134-149
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• 2018

The number of children wearing make-up is increasing. "Children's cosmetics" is not a legal term though it is commonly used. The purpose of this study is to analyze discussions on children's cosmetics based on news articles found on the internet. This study also identifies what products are being distributed as children's cosmetics. Keyword searches were conducted using internet portal sites. Information was extracted from news articles and Best Item 100 for children's cosmetics. The results of analyzing news articles and Best Item 100 lists are as follows : 1. There were two main discussion topics in news articles. The first topic was related to marketing(the branding and trends of children's cosmetics). The other topic was about government regulations(side effects, harmful ingredients, control, regulations, attention, proper product usage, product categorization, and the overall safety of children's cosmetics). By 2014, many articles had covered government control and regulation. However, since 2017, news articles have focused on the product categorization and the concern for overall safety has dramatically increased. 2. Three different product categories have appeared in the Best Item 100; they are cosmetics, toys, and other products. In market, consumers recognized children's cosmetics as cosmetics and also as toys. Between 2017 and 2018's Best Item, other products are dramatically down, color cosmetics and single cosmetics are on the rise, and the purchase of domestic products has increased.

• Fashion & Textile Research Journal
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• v.9 no.6
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• pp.626-636
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• 2007

The purpose of this study is to find out the important factors and efficient strategies concerning internet marketing. The areas of study interest are, the characteristics of on-line shopping mall and the consumer shopping propensity. To do this, a 24-item Internet shopping mall characteristics and a 13-item consumer shopping propensity variables were developed to collect data from the 230 samples. The sample population composed mainly of, the college students and business man who had recent on-line shopping experiences on apparel goods. The 4-item satisfaction measure was used as the dependent variable. Also, a 11-item perceived shopping value measure was developed and measured to explore the mediating effect in the path between the endogenous and exogenous variables. Findings indicate that the characteristics of Internet shopping mall significantly contribute to the utilitarian shopping values, while the consumer shopping propensity contributes to the utilitarian and hedonic shopping values. In addition, the characteristics of internet shopping mall, the consumer shopping propensity, and shopping values are the good indicators for the consumer satisfaction.

• Proceedings of the CALSEC Conference
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• 2005.11a
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• pp.147-153
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• 2005

When a customer wants to buy an item at the Internet shopping mall, one of the difficulties is to decide when to buy the item because its price changes over time. If the shopping mall can be able to recommend appropriate buying points, it will be greatly helpful for the customer. Therefore, in this presentation, we propose a method to recommend buying points based on the time series analysis using a database that contains past prices data of items. The procedure to provide buying points for an item is as follows. First, we search past time series patterns from the database using normalized similarity, which are similar to the current time series pattern of the item. Second, we analyze the retrieved past patterns and predict the future price pattern of the item. Third, using the future price pattern, we recommend when to buy the item.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.1
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• pp.13-26
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• 2016

Service and technology for the future hyper-connected society, which is every information receive through the mobile internet, will be an Internet of Things. Thus, it is mandatory to derive key standardization work item and establish strategy for the global business with the standardization of device and service platform by the application service. In this study, by analyzing the domestic and international market trends, state of technical development, and standardization of technology, we identified the open platform is the stepping stone for achieving the goal which is establishing the virtuous circulation of IoT ecosystem. Also, we defined emphasized key standardization work item for achieving the open platform are network, server, access authentication, billing system, and software platform. After that, we proposed future strategy direction of standardization. This research could be contribute to the IoT service diffusion by realizing IP communication among low power wireless terminals and implementing light-weight standard internet protocol.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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• pp.1-19
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• 2021

The graph-based tag recommendation algorithm FolkRank can effectively utilize the relationships between three entities, namely users, items and tags, and achieve better tag recommendation performance. However, FolkRank does not consider the internal relationships of user-user, item-item and tag-tag. This leads to the failure of FolkRank to effectively map the tagging behavior which contains user neighbors and item neighbors to a tripartite graph. For item-item relationships, we can dig out items that are very similar to the target item, even though the target item may not have a strong connection to these similar items in the user-item-tag graph of FolkRank. Hence this paper proposes an improved FolkRank algorithm named FolkRank++, which fully considers the user-user and item-item internal relationships in tag recommendation by adding the correlation information between users or items. Based on the traditional FolkRank algorithm, an initial weight is also given to target user and target item's neighbors to supply the user-user and item-item relationships. The above work is mainly completed from two aspects: (1) Finding items similar to target item according to the attribute information, and obtaining similar users of the target user according to the history behavior of the user tagging items. (2) Calculating the weighted degree of items and users to evaluate their importance, then assigning initial weights to similar items and users. Experimental results show that this method has better recommendation performance.

• Journal of Families and Better Life
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• v.27 no.4
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• pp.127-139
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• 2009

The purpose of this study was to develop a standardized scale to measure consume's impulse purchasing in internet shopping mall. As internet shopping is expanding rapidly, the consumer's impulse purchasing in the internet shopping is also increased. A preliminary 26-item scale was developed through a literature review. 1230 consumers responded to an online survey using the preliminary scale. This research was made with the intention of not only supplying the academic data on the consumer's impulse purchasing but also understanding the consume's basic behavior patterns in internet shopping mall. Then A series of tests, such as test-retest, item-to-total correlation, Cronbach's reliability coefficient and factor analysis, were conducted using the survey data. The final scale with 20-items was constructed in the end. The consume's impulse purchasing in internet shopping mall Scale for Consumers consisted of 4 factors.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.3
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• pp.33-43
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• 2008

As internet is spreaded widely, the number of cyber terror using hacking and virus is increased. Also the hacking to the internet shopping mall go on increasing. If the large shopping mall is attacked by the hacker, a number of user's information are exposed to the hacker. The private information as like a resident registration number, user's real name, the date of user's birth, the mobile phone number, the office phone number / address, the home phone number / address and so on include the information. These information are used in the phishing e-mails / call and spam. And them are selling and buying maliciously. The large internet shopping mall 'auction' was hacked in April, 2008. After the incident, this paper suggested a countermeasures on the hacking for the internet shopping mall. The technical item and political item are included among the countermeasures. The countermeasures can protect the hacking not only the internet shopping mall but also the web sites basically.

• Journal of Internet Computing and Services
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• v.4 no.5
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• pp.31-41
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• 2003

At present, the market size of electronic commerce has increased and also the construction of internet shopping mall has expended. But it raises question about issue that the manpower who develope user interface lack of the comprehensive and systematic approach. For that reason this study identified the main factor of the user interface contents in internet shopping mall and suggested the contents item based on the reliability, safety and ease of uses for the customer. Eventually, the developed basic contents items are company information, the protection policy of private information, user agreement. product information, settlement information, order process, delivery process and customer support.

• The Research Journal of the Costume Culture
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• v.19 no.3
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• pp.542-555
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• 2011

Internet shopping malls have rapidly developed within the economic recession due to changed lifestyle according to digitalization. Furthermore, customers in the 20~30s, the main consumer base of internet shopping malls in Korea, have begun to enjoy the new cultural trend of party culture, thus creating a new fashion market combining party and fashion. Therefore, the purpose of this study is to analyze design characteristics of internet party-wear shopping malls to provide guidelines and to present basic data for design development of party-wear in internet shopping malls. Research method was used by combining literary research with empirical research of analyzing design by capturing pictures of internet party-wear shopping malls. The following conclusion was drawn from research results. First, Party-wear consumption of internet shopping malls is increasing along with the increased sales of clothing fashion products of internet shopping malls. Second, design analysis results regarding 11 internet shopping malls selling party-wear was presented that consumer emotion and trend were combined according to distinct characteristics to display romantic style, romantic style mixed with modern or casual characteristics, sexy, and etc. Third, dress was presented as the most common item with 52.3% in item analysis executed on 588 pictures captured in 11 shopping malls. Ribbon was shown as the most common detail and trimming item, with 28.7%, and corsage and frills were each presented as 13%.