• Journal of the Korean Home Economics Association
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• v.44 no.4 s.218
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• pp.133-144
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• 2006

The contemporary period is called "the age of sensibility" in which each individual consumer seeks to have her or his own products. Businesses are in need of design developments with an emphasis on customer sensitivity, and at the same time consumers must understand their own sensitivity to acquire information on designs that suit them. This research established a sensitivity and configuration database on designing men's jackets using the sensitivity engineering approach to clothing design information. The user interface was created on the Internet. Sixty-seven sensitivity terms of vocabulary appropriate for the assessment of men's jacket design were selected, and the different designs were classified into six items and 24 categories. Thirty men's jackets with different designs were produced for sensory testing and the results were analyzed in accordance with general linear I statistics. A sensitivity database was established for each category. My-sql, PHP, Java Script, and Html were used for the configuration database work. The configuration of items/categories, with the most appropriate sensitivity database information assigned to the selected sensitivity vocabulary, was programmed for display on the computer screen. The sensitivity vocabulary of a customer's choice for each factor was selected for the program to run, while the category and product configuration of the men's jacket most suitable for the search was displayed based on the user interface.

• Journal of Distribution Science
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• v.20 no.9
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• pp.61-71
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• 2022

Purpose: This study analyzes the effects of variables affecting e-satisfaction and e-loyalty in e-commerce. Research design, data, and methodology: A survey was conducted to 384 Indonesia online shopping mobile application users. The questionnaire construct was designed based on several independent variables, such as application attractiveness, application functionality, and customer service on e-satisfaction and e-loyalty. E-satisfaction was positioned as an intervening variable to determine the effect on e-loyalty. Results: Application attractiveness, application functionality, and customer service shown positive effect on e-satisfaction in online shopping mobile application. At the same time, e-satisfaction also affected e-loyalty significantly as referred in previous studies. However, application attractiveness, while showed positive effect on e-satisfaction, in contrary with previous study does not showed very significant effect. Conclusion: Application functionality significantly influences users satisfaction compared to application attractiveness. E-satisfaction mediates as a factor between visual design, information access, and transaction in online shopping mobile application, which stimulates user loyalty. The study findings' can be a reference for companies to create and maintain users' satisfaction and loyalty via different aspects of mobile application. Further research should be conducted on other field of study as the industry has different aspects that affects user loyalty.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.57-60
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• 2011

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.91-121
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• 2008

Electronic commerce, commonly known as e-commerce or eCommerce, has become a major business trend in these days. The amount of trade conducted electronically has grown extraordinarily by developing the Internet technology. Most electronic commerce has being conducted between businesses to customers; therefore, the researches with respect to e-commerce are to find customer's needs, behaviors through statistical methods. However, the statistical researches, mostly based on a questionnaire, are the static researches, They can tell us the dynamic relationships between initial purchasing and repurchasing. Therefore, this study proposes dynamic research model for analyzing the cause of initial purchasing and repurchasing. This paper is based on the System-Dynamic theory, using the powerful simulation model with some restriction, The restrictions are based on the theory TAM(Technology Acceptance Model), PAM, and TPB(Theory of Planned Behavior). This article investigates not only the customer's purchasing and repurchasing behavior by passing of time but also the interactive effects to one another. This research model has six scenarios and three steps for analyzing customer behaviors. The first step is the research of purchasing situations. The second step is the research of repurchasing situations. Finally, the third step is to study the relationship between initial purchasing and repurchasing. The purpose of six scenarios is to find the customer's purchasing patterns according to the environmental changes. We set six variables in these scenarios by (1) changing the number of products; (2) changing the number of contents in on-line shopping malls; (3) having multimedia files or not in the shopping mall web sites; (4) grading on-line communities; (5) changing the qualities of products; (6) changing the customer's degree of confidence on products. First three variables are applied to study customer's purchasing behavior, and the other variables are applied to repurchasing behavior study. Through the simulation study, this paper presents some inter-relational result about customer purchasing behaviors, For example, Active community actions are not the increasing factor of purchasing but the increasing factor of word of mouth effect, Additionally. The higher products' quality, the more word of mouth effects increase. The number of products and contents on the web sites have same influence on people's buying behaviors. All simulation methods in this paper is not only display the result of each scenario but also find how to affect each other. Hence, electronic commerce firm can make more realistic marketing strategy about consumer behavior through this dynamic simulation research. Moreover, dynamic analysis method can predict the results which help the decision of marketing strategy by using the time-line graph. Consequently, this dynamic simulation analysis could be a useful research model to make firm's competitive advantage. However, this simulation model needs more further study. With respect to reality, this simulation model has some limitations. There are some missing factors which affect customer's buying behaviors in this model. The first missing factor is the customer's degree of recognition of brands. The second factor is the degree of customer satisfaction. The third factor is the power of word of mouth in the specific region. Generally, word of mouth affects significantly on a region's culture, even people's buying behaviors. The last missing factor is the user interface environment in the internet or other on-line shopping tools. In order to get more realistic result, these factors might be essential matters to make better research in the future studies.

• Journal of Information Technology Application
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• v.3 no.2
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• pp.83-102
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• 2001

Internet-based shopping business spread rapidly in Korea. Companies are trying to develop and use various strategic competences. The strategies employed by those companies include activities related to the design of shopping site, market positioning, assistance of purchasing process, payment mechanism, and provision of various consumer services. However, the success of these strategies depends on various environmental factors and internal capability of the companies. In this study, I examined four successful Internet shopping mall companies and compared them to draw useful guidelines for Internet-based intermediary business. These four companies were selected because they are all considered successful by now, but brought different background. We found follows. First, each company tried to economize their own historical and developmental background. All of the selected companies were alike in their focus on the whole Internet user group. Customer needs analysis was performed more systematically. The Importance of customer information and the use of it are not sufficient. Second, Each companies consistently emphasized the importance of market-related activities. Despite the differences in initial states, all companies used similar strategies and had similar focus in target market and products. Conclusively, implications from this research for Internet shopping business can be summarized as follows. First, One of the important future directions for Internet shopping mall business is to broaden target market. Second, the provisions of carefully designed customized services are one success factor. Third, As customer traffic increased, the provision of differential customer service becomes a key success factor.

• Journal of Digital Convergence
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• v.6 no.1
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• pp.75-82
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• 2008

This paper is aimed to exam factors in the perceived service quality of web portal site and to analyze their effects on customer satisfaction. And this paper analysis satisfaction effects on revisit intention. To accomplish this purpose, this study examined previous studies and summarized core factors of service quality. Form literature survey, we drawn core factors. They are convenience, technologies, valuable of contents and service, communication, positioning. These core factors will affect on customer trust, satisfaction and satisfaction will affect on revisit intention. This study examined previous studies and summarized core factor in perceived service quality of web portal site. Fourteenth hypothesis were developed. Data for empirical testing were collected through survey to portal sites user. The results of this study are as follows; First, we find that service, communication and positioning have positive influence on the trust. Second, convenience, valuable of contents and postioning factors have a positive influence on the satisfaction. Third, it is shown that satisfaction have a positive influence on the revisit intention.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.25 no.4
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• pp.57-64
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• 2011

Most of the user has been used linear load and non-linear load. The former is usually inductive load which is needed power factor compensation, the latter is power conversion system device. Actually two kinds of load is used together in the customer application. Generally capacitor is used for power-factor compensation of inductive load and reduction harmonics of non linear load with reactor. Non-linear load generates harmonic current for its energy conversion process. If harmonic current pass along the low impedance side of distribution system, the magnification of voltage and current is appeared by the series and parallel resonance. As a result, condenser has received a bitter electrical stress by the harmonic component. In this paper, we analyzed that how resonance is changed by the 5-th harmonic current pattern and proposed an alternative plan for non-magnification.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.163-177
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• 2021

Many methods of discovering social networking communities or clustering of features are based on the network structure or the content network. This paper proposes a community discovery method based on topic models using a time factor and an unsupervised clustering method. Online community discovery enables organizations and businesses to thoroughly understand the trend in users' interests in their products and services. In addition, an insight into customer experience on social networks is a tremendous competitive advantage in this era of ecommerce and Internet development. The objective of this work is to find clusters (communities) such that each cluster's nodes contain topics and individuals having similarities in the attribute space. In terms of social media analytics, the method seeks communities whose members have similar features. The method is experimented with and evaluated using a Vietnamese corpus of comments and messages collected on social networks and ecommerce sites in various sectors from 2016 to 2019. The experimental results demonstrate the effectiveness of the proposed method over other methods.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.93-117
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• 2007

The books and circulation-related data in the Library Automation System(LAS) of C-academic library were collected and analyzed, and also the method which may be applied to the Customer Relationship Management (CRM) based on the results was suggested in this paper. Collected data were 269,387 bibliographic data of books, 12,281 patron data, and 39,269 circulation records. User identity, circulation frequencies, total number of circulated books, and publication year as relation factor from the analyzed data of circulation records were extracted. They were also analyzed, and verified by correlation coefficient.

• 지역과문화
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• v.7 no.2
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• pp.155-172
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• 2020

This study analyzed the factors to customer attitude on the goods and service introduced in UGC(User Generated Contents) and explored the difference between Korean and Chinese customers. For the first research question, the hypothetical factors were selected through literature review, the area of which are media consumption, social media and effect of advertising. In this study examined 4 independent variables: information, reliability, BJ attractiveness and customer innovation. Methodologies are confirmatory factor analysis, correlation analysis and multi regression. Result showed that reliability, BJ attractiveness and customer innovation are statistically significant. According to the β value, the biggest one is customer innovation, the second one is BJ attractiveness and the third one is reliability. The influence of information on customer attitude is not statistically significant. The result is well-aligned with the prior studies. The information factor's influence, however, is disputable because some prior studies shows that it is not significant when the research samples are recently developed channel such as mobile or social media commerce platforms. It is necessary to identify the root causes why the information factor is not significant in some research cases. For the second research question, this study used independent t-test between Korean and Chinese customers. The result shows that the difference in reliability, BJ attractiveness and attitude are stastically significant, and the ratings of Chinese customers are higher. This result caused by the difference of media commerce environment between Korea and China. Information and customer innovation didn't show significant difference.