• Journal of Korea Trade
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• v.25 no.6
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• pp.20-33
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• 2021

Purpose - The growth in consumers' online shopping has even been accelerated by the COVID-19 pandemic. While the purchase can be made from any countries online, the purpose is to examine the effect of the country of the online retailer (COOR) on consumers' perceived risk and purchase motivation, focusing on the retailer not on the brand. Design/methodology - Survey data from online shoppers are analized using the structural equation model. Findings - COOR, like COO of the brand manufacturer, positively affect consumer's purchase intension. First, the images and the perceived psychic distances of the COOR affects both perceived risk and purchase confidence. Secondly, this perceived risk and confidence they put on the transaction then affect the purchase intension of the consumer. Originality/value - We show that the quality of the signal comes not only from the manufacturer-branded product item itself with a certain COO, but also from the retailer who carries it.

• Asia Marketing Journal
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• v.18 no.1
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• pp.23-35
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• 2016

Product customization has been popular since Internet shopping began. Many firms have introduced customization configuration systems, allowing customers to choose a wide range of product attributes, attracting them to participate in the shopping process, and increasing customer satisfaction. Paradoxically, the attribute-by-attribute (AbA) choice in the customization process requires a high-information processing load resulting in shopper confusion. To reduce this confusion, the CvSS (customization via starting solution) system has recently been developed. However, this system provides solution support only for the starting point of the configuration process. Thus, in this study, the authors proposes the CvWS (Customization via Waypoint Solutions) system, which would greatly reduce the customer effort needed to complete the configuration process by using a novel approach to solve the nonlinear knapsack problem. The newly proposed system is theoretically compared with the AbA customization as well as the CvSS system. Also, its feasibility is discussed in the context of the nonlinear multiconstraint knapsack problem.

• The KIPS Transactions:PartD
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• v.13D no.2 s.105
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• pp.279-286
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• 2006

One of the widely used methods for product recommendation in Internet storefronts is matching product features against target customer profiles. When using this method, it's very important to choose a suitable subset of features for recommendation efficiency and performance, which, however, has not been rigorously researched so far. In this paper, we utilize a dataset collected from a virtual shopping experiment in a Korean Internet book shopping mall to compare several popular methods from other disciplines for selecting features for product recommendation: the vector-space model, TFIDF(Term Frequency-Inverse Document Frequency), the mutual information method, and the singular value decomposition(SVD). The application of SVD showed the best performance in the analysis results.

• Journal of the Korea Safety Management & Science
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• v.8 no.5
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• pp.193-209
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• 2006

Multiple regression is used to examine the relationship between a set of two or more independent variables and one dependent variable. It provides the information necessary to make predictions of the dependent variables based on several independent variables. To do so, the multiple regression equation is extended to: y=$a+{\beta}_1x_1+{\beta}_2x_2+{\ldots}+{\beta}_kx_k$ y=attractiveness a=the value of the intercept ${\beta}_1$=the slope(weighting) of the first variable ${\beta}_1$= the slope(weighting) of the second variable ${\beta}_k$=the slope of the $\kappa$th variable The resulting regression equation of this research is y=$a+{\beta}_1site's\;system+{\beta}_2customer\;satisfaction+{\beta}_3products+{\beta}_4delivery$ y=3.233+0.374(site's system)+0.268(customer satisfaction)+0.17(products)+0.077(delivery)

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.3
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• pp.135-148
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• 2003

In this paper we introduce the Internet-based purchase support systems using data mining and case-based reasoning (CBR). Internet Business activity that involves the end user is undergoing a significant revolution. The ability to track users browsing behavior has brought the vendor and end customer's closer than ever before. It is now possible for a vendor to personalize his product message for individual customers at massive scale. Most of former researchers, in this research arena, used data mining techniques to pursue the customer's future behavior and to improve the frequency of repurchase. The area of data mining can be defined as efficiently discovering association rules from large collections of data. However, the basic association rule-based data mining technique was not flexible. If there were no inference rules to track the customer's future behavior, association rule-based data mining systems may not present more information. To resolve this problem, we combined association rule-based data mining with CBR mechanism. CBR is used in reasoning for customer's preference searching and training through the cases. Data mining and CBR-based hybrid purchase support mechanism can reflect both association rule-based logical inference and case-based information reuse. A Web-log data gathered in the real-world Internet shopping mall is given to illustrate the quality of the proposed systems.

• Science of Emotion and Sensibility
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• v.19 no.3
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• pp.59-70
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• 2016

Qualitative consumption is a trend in the children clothing market and watching TV of childcare-entertainment reality programs are becoming popular. This study examines the watching degree of childcare-entertainment reality TV programs of parent buyer (30s) and potential buyer (20s) and we investigate their shopping orientation of children wear. We did the survey research of 200 consumers with SPSS statistical analysis including the review of internet news, paper, and books on children wear shopping orientation. The results are following: first, the longer the watching time of childcare-entertainment reality TV programs, the higher shopping orientation, such as following the fashion of child stars, and the higher the watching preferences on childcare-entertainment reality programs, the greater shopping orientation in following childcare-entertainment reality programs star when they are purchasing children's clothing. Second, potential consumers as well as parent consumers were affected by watching the childcare-entertainment reality programs. Watching childcare-entertainment reality TV programs could give the impact when they were shopping children's clothing because they wanted to follow the fashion of childcare-entertainment reality programs TV star. Accordingly, the exposure of the childcare-entertainment reality programs for children clothing is found to be positive to the both current and future consumers.

• Journal of Digital Contents Society
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• v.9 no.2
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• pp.295-303
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• 2008

With universality of e-commerce through internet, smaller online shopping malls are increased. A Smaller online shopping mall by nature lacks an extra space to load many inventory quantities. Therefore, it is difficult to response immediately with client request with traditional inventory management method. VMI has a character that supplier can control volume of inventory according to sales of seller. This paper proposes SOHO-VMI that is applied VMI into smaller online shopping mall. Proposed SOHO-VMI supports M $\times$ N structure can interact with multiple suppliers and sellers. And it uses XML/EDI for interaction with EDI documents use to legacy system. Also, This paper proposes logistics statistic prediction algorithm can adjust production and distribution volumes to supplier considering seller's product distribution information and seasonal factor.

• Journal of Korea Multimedia Society
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• v.16 no.6
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• pp.708-719
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• 2013

Purchase of clothes has recently picked up pace at mobile fashion shopping malls. One of the biggest weak points is that consumers can't coordinate clothes. Since individuals increasingly want to make coordination, a fashion coordination system to satisfy the demand should be developed. As the technology of digital clothing which is about reproducing dresses using computer graphic has been activated in the fashion industry, many changes in consumers' life patterns and interests in fashion shopping malls are taking place. Some consumers are increasingly more keenly interested in shopping on the Internet and Smart phones than in offline stores. This study was conducted to understand production of iPhone-based augmented reality fashion fitting contents which is suitable for Koreans' body shape. This system is about designing and materializing UI(User Interface), an augmented reality fitting system, so that users can confirm if they look nice with those fashion items using Smart phones. A new fashion shopping method satisfying user convenience was suggested using the materialized system.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.79-88
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• 2015

This study focused on the idea that consumers who are dissatisfied with their body form tend to be more interested in weight control behavior. This research connects this relationship with consumers' risk perception on the internet and consequent decision hesitation behavior. Empirical results extracted three factors of weight control behavior: diet, physical treatment, and medication and exercise. Weight control behavior was different by gender but not by age. Consumers who were dissatisfied with their body form were likely to do exercise, but other types of dissatisfaction (weight dissatisfaction and height dissatisfaction) were not significantly related to weight control behavior. Weight dissatisfaction influenced perceived size risk significantly when shopping online. Diet, physical treatment, and medication had significant influence on perceived size risk when shopping online. Perceived size risk had significant influence on decision delay and offline switch behavior. This study took a convergence approach, which connects consumer characteristics with online shopping behavior.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.77-83
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• 2011

With the development of online shopping and the rapid growth of IT technology, among various forms of online shopping the intense competition also more deepen. So in online shopping and offline shopping can get differentiation characteristics of competitiveness, so our marketing target is the couples and planning to couples' activity is necessary. In this research, it is planning and implement an web site to design and implement sales strategies for the young people. For this, we analysis based on the existing commercial site's event planning of couples, design and suggest strategy for increasing sales, construct a web site with couples' birthday marketing strategy and various commemorative activities and customer visit web sites with activities more prominent as the goal, and with marketing planning and information configuration as the centre. This is expected to be through to increase effect of the part of the object by customer group activities to improve sales.