• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.1
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• pp.278-286
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• 2010

Until now, most of the studies about the impulse buying have focused mainly on the product of off-line shop, while there have relatively been very few studies about the product in internet shopping mall. The goal of this study was to understand Impulse Buying Behavior(IBB) for digital contents in the internet. Data has been collected from 278 respondents. The questionnaire method was adopted to collect the data for this study. The research was conducted by using SPSS 12.0 and AMOS 5.0. It was found that as follows: First, marketing stimulation factors, such as price, product, promotion was related positively to FLOW. Second, marketing stimulation factors was related partly positively to IBB. Third, FLOW has mediating effects in the relations between marketing stimulation factors and IBB. Finally, Self-Behavior Control and Sensation Seeking Tendancy has moderating effect in the IBB process. Thus, It also provides a core strategic Implication with Digital Contents Marketers.

• Archives of design research
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• v.14 no.2
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• pp.15-25
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• 2001

With the rapid development of current internet, digital age make human beings intangible. Haptic sense was recognized less important than visual sense and auditory sense, but it plays an important role in determining the quality of products. The goals of this study are embodying haptics using Visual and Auditory preception and designing Visual-Auditory Haptic interface, in the case of actual touching is required but impossible. This study was carried out 3 steps. Firstly, developing the concept of Visual-Auditory Haptic Interface(VAHI) was carried out to make it certain the direction of this study. To get common factors of VAHI, this study researched physical-mechanism of visual, auditory, and haptics senses, and psychological-mechanism. Secondly, identifying factors of V/A haptic sense was analysed by web-evaluation test, to be categorized 11 Emotional Haptic Factors(EHF) and some Design Haptic Factors(DHF). The relation of EHF and DHF was analysed and summarized to VAHI design check sheet. Finally, Applying DHF to VAHI by EHF according to VAHI design check sheet was validated by web-evaluation test, to be resulted 13% increase in reliability and the same in usability. Conclusively, the possibility of embodying haptics using Visual and Auditory preception was resulted to be valid. And this concept can be applied to an interface, such a internet shopping mall and virtual reality, which requires actual touching to perceive haptic information, but it is impossible.

• International Commerce and Information Review
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• v.18 no.4
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• pp.81-112
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• 2016

About 60 percent of cosmetic products sold in the dominant Taobao internet shopping mall proved recently to be counterfeit products made in China. This paper is to investigate the anti-counterfeiting strategies to clean up fake goods for Korean cosmetics which have been exported to China. Using the scienter rule the paper classified the forgery action for Korean cosmetics into four broad groups - counterfeit, piracy, illegally distributed product, and brand prior register. This paper suggested interior company's anti-counterfeiting strategies for each group, focusing on the construction for an integrated anti-counterfeiting system including consumer's rationality through the government cooperation between Korea and China.

• Journal of Korean Home Economics Education Association
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• v.21 no.2
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• pp.45-60
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• 2009

This study is intended to implement an e-Learning system assisted class for the dress unit in the subject of technology & home economics in the middle school. This class is aimed at making teaching-learning in the dress unit effective, triggering students' interest in it, enhancing their understanding and offering basic materials for the e-Learning development about clothing instruction in the subject of technology & home economics. To make the concrete situational learning effective and provide realistic learning environments, learning contents were implemented so that the learners themselves could manipulate the contents by clicking. How to wear clothing according to learners' individuality was presented in order to trigger the learners' attention and motivation using the latest clothing pictures from the Internet shopping mall, and the dress fashion pictures of their peers. The result of this study can be summed up as follows. First, the implementation of learning materials with which simulation manipulation and visualization were possible could make the students reach the learning goals easily. Second, teaching-learning activity could be made more effective using audios, images and moving pictures rather than written texts. Third, learning the dress unit, which is especially related with a new fashion, made the most of the advantage of e-Learning by providing realistic and lively learning materials in a timely manner. And it triggered learners' motivation by providing pictures or moving pictures related with their real life. Based on these research results, this study suggests further research to develop e-Learning contents using various multimedia authoring tools as well as the ones applied to this study in learning the dress unit. It also suggests that the database of teaching-learning materials be constructed to securely prepare abundant instruction materials.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2006.05a
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• pp.178-193
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• 2006

기업들이 고객에 대해 관심을 가지는 이유는 고객관계관리(CRM: customer relationship management)의 중요성이 그 어느 때 보다도 강조되고 있기 때문이며, 또한 강력한 고객관계가 기업의 경쟁우위를 위한 주요 수단이 되고 있음을 지각하고 있기 때문이다. 특히 인터넷 쇼핑몰에 대한 고객의 충성행위는 인터넷 쇼핑몰이 제공하는 다양한 상품 및 서비스와 더불어 성공적인 고객관계를 위해서는 매우 중요하다. 또한 인터넷 쇼핑몰의 입장에서는 여러 가지 다양한 서비스를 인터넷 쇼핑몰 이용 고객에게 제공함으로써 인터넷 쇼핑몰을 이용하는 고객들에 대한 신뢰와 몰입을 증가시킴으로써 인터넷 쇼핑몰 이용 고객들로 하여금 인터넷 쇼핑몰에 대해 높은 충성도를 가지게 할 수 있을 것이다. 따라서 본 연구는 인터넷 쇼핑몰 이용 고객에 대한 고객충성행위를 신뢰형성요인, 몰입형성요인, 신뢰, 몰입이라는 측면에서 설명하고자 하였다. 즉, 인터넷 쇼핑몰의 신뢰형성요인(능력, 호의성, 무결성)이 신뢰에 영향을 미치고, 몰입형성요인(촉진정보, 상호작용성, 쇼핑몰디자인)이 몰입에 영향을 미친다. 그리고 신뢰는 몰입과 고객충성행위에, 몰입은 고객충성행위에 영향을 미칠 수 있음을 제안하고 이를 인터넷 쇼핑몰 이용 경험이 있는 고객들을 대상으로 실증적으로 분석하였다. 실증분석 결과에 따르면 제안모델은 수용가능한 모델적합도를 보여 주었으며, 또한 본 연구에서 제시한 9개의 가설 모두가 통계적으로 유의한 결과를 보여주었다. 특히 신뢰는 신뢰형성요인(능력, 호의성, 무결성)과 고객충성행위사이에 매개변수의 역할을 수행하고있으며, 몰입은 몰입형성요인(촉진정보, 상호작용성, 쇼핑몰디자인)과 고객충성행위사이 그리고 신뢰와 고객충성행위사이에 매개변수의 역할을 수행하는 것으로 나타났다.동지역의 고기후를 해석함으로써 고기후적 및 고생태학적 의미를 연구해 보고자 하였다.에서는 시스템 등급에 영향을 준다. 향후에는 더욱 더 다양한 상호의존 모델들이 정량화될 필요성이 있다고 본다. 진행하였다. 줄여서 보다 더 정확하고, 지능적인 규칙구성요소 추출 방법론을 제시하고 구현하여 지식관리자의 규칙습득에 대한 부담을 줄여 주고자 한다. 도움을 받을 수 있게 되었다.을 거치도록 되어있다. 교통주제도는 국가의 교통정책결정과 관련분야의 기초자료로서 다양하게 활용되고 있으며, 특히 ITS 노드/링크 기본지도로 활용되는 등 교통 분야의 중요한 지리정보로서 구축되고 있다..20{\pm}0.37L$, 72시간에 $1.33{\pm}0.33L$로 유의한 차이를 보였으므로(F=6.153, P=0.004), 술 후 폐환기능 회복에 효과가 있다. 4) 실험군과 대조군의 수술 후 노력성 폐활량은 수술 후 72시간에서 실험군이 $1.90{\pm}0.61L$, 대조군이 $1.51{\pm}0.38L$로 유의한 차이를 보였다(t=2.620, P=0.013). 5) 실험군과 대조군의 수술 후 일초 노력성 호기량은 수술 후 24시간에서 $1.33{\pm}0.56L,\;1.00{\ge}0.28L$로 유의한 차이를 보였고(t=2.530, P=0.017), 술 후 72시간에서 $1.72{\pm}0.65L,\;1.33{\pm}0.3L$로 유의한 차이를 보였다(t=2.540, P=0.016). 6) 대상자의 술 후 폐환기능에 영향을 미치는 요인은 성별로 나타났다. 이에 따른 폐환기능의 차이를 보면, 실험군의 술 후 노력성 폐활량이 48시간에 남자($1.78{\pm}0.61L$

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.117-124
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• 2013

Association rule of data mining techniques is the method to quantify the relationship between a set of items in a huge database, andhas been applied in various fields like internet shopping mall, healthcare, insurance, and education. There are three primary interestingness measures for association rule, support and confidence and lift. Confidence is the most important measure of these measures, and we generate some association rules using confidence. But it is an asymmetric measure and has only positive value. So we can face with difficult problems in generation of association rules. In this paper we apply the similarity measures by probabilistic interestingness measure (PIM) with all marginal proportions (AMP) to solve this problem. The comparative studies with support, confidences, lift, chi-square statistics, and some similarity measures by PIM with AMPare shown by numerical example. As the result, we knew that the similarity measures by PIM with AMP could be seen the degree of association same as confidence. And we could confirm the direction of association because they had the sign of their values, and select the best similarity measure by PIM with AMP.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.193-200
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• 2014

Due to the advent of ubiquitous computing environment, it is becoming a part of our common life style. And tremendous information is cumulated rapidly. In these trends, it is becoming a very important technology to find out exact information in a large data to present users. Collaborative filtering is the method based on other users' preferences, can not only reflect exact attributes of user but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. In this paper, we propose clustering method by user's features based on SOM for predicting purchase pattern in u-Commerce. it is necessary for us to make the cluster with similarity by user's features to be able to reflect attributes of the customer information in order to find the items with same propensity in the cluster rapidly. The proposed makes the task of clustering to apply the variable of featured vector for the user's information and RFM factors based on purchase history data. To verify improved performance of proposing system, we make experiments with dataset collected in a cosmetic internet shopping mall.

• Journal of the Korea Society of Computer and Information
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• v.17 no.6
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• pp.163-172
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• 2012

Collaborative filtering which is used explicit method in a existing recommedation system, can not only reflect exact attributes of item but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. This paper proposes the personalized recommendation system using RFM method and k-means clustering in u-commerce which is required by real time accessablity and agility. In this paper, using a implicit method which is is not used complicated query processing of the request and the response for rating, it is necessary for us to keep the analysis of RFM method and k-means clustering to be able to reflect attributes of the item in order to find the items with high purchasablity. The proposed makes the task of clustering to apply the variable of featured vector for the customer's information and calculating of the preference by each item category based on purchase history data, is able to recommend the items with efficiency. To estimate the performance, the proposed system is compared with existing system. As a result, it can be improved and evaluated according to the criteria of logicality through the experiment with dataset, collected in a cosmetic internet shopping mall.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.549-554
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• 2017

This study conducted a survey on 319 Chinese women in their 20s to 50s living in three large cities in China, with an aim to analyze the influence on the purchasing behavior and satisfaction for Korean cosmetics depending on their complex purchasing tendencies. According to the research, the rational tendency was higher when the subjects were over 40 years old and married, and the impulsive tendency was the highest in those in their 30s. There was no huge difference in regions depending on the two tendencies, while there were statistically significant differences in purchasing period, times and costs when buying cosmetics. In addition, purchasing satisfaction for cosmetics had a positive correlation with purchasing tendencies. The subjects pursued convenience in purchasing as their rational tendency was higher, while they sought the trends as their impulsive tendency was higher. Based on the results, it is expected to maximize purchasing satisfaction of Chinese female consumers depending on their purchasing tendencies, if the Korean cosmetics makers provide reliable quality assurance, product exchange and customer management services. It is also expected to help revitalize the beauty market for China as well as Southeast Asia, if the Korean cosmetics companies implement differentiated marketing strategies targeting the customers in the age group with the impulsive consumption tendency.

• The Journal of Society for e-Business Studies
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• v.15 no.1
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• pp.39-60
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• 2010

It becomes common thing that many customers buy the goods through the online shopping mall as internet grows very fast. The information cascades that happen when a person imitates the other's acts also it occurs in online. Many people buy the goods referring on other people's purchasing experiences and such cases are spreading more and more. Through numerous existing researches, the researches in association with this issue have been studied on the information cascades effect on offline or online separately. The research of comparing the information cascades effects from the offline word of mouth (WOM) and the online review has not studied yet. On that reason this study shows that the online review induces the information cascades. We also compared the effects with information cascades effects from traditional offline word of mouth. In result of this study, the following points have been concluded. Firstly, we examined that information cascades was occurred through both the online review and offline word of mouth. Secondly, the information cascades effect through the online review is greater than through the offline words of mouth. It means the company has to understand the importance of the online review and manage it. Thirdly, the information cascades effects are occurred differently in accordance with the goods brands. Therefore a company has to know whether its products is superior to the competitor's one or not.