• 대한가정학회지
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• 제44권4호
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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.

• 유통과학연구
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• 제20권9호
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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.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2011년도 춘계학술대회
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• pp.57-60
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• 2011

• Asia pacific journal of information systems
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• 제18권3호
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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.

• 정보기술응용연구
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• 제3권2호
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• pp.83-102
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• 2001

인터넷 전자상거래가 확산됨에 따라, 많은 기업들이 인터넷 쇼핑몰 사업 진출을 시도하고 있다 인터넷 쇼핑몰은 통신망을 중심으로 형성된 가상공간상의 신종사업으로서 실제공간에서 이루어지는 사업가는 많은 상이한 면을 가지고 있다. 본 연구에서는 인터넷 쇼핑몰이 고객을 모집하고 상거래를 일어나도록 하는 각종 전략적 요소들이 어떻게, 왜 선택되었는지, 그리고 기업은 이러한 고객 전략을 어떻게 사용하는지에 대한 연구를 수행하고자 한다. 본 연구에서는 다양한 기반을 지니고 있는 사업자의 전략을 살펴보고, 고객 전략적 측면에서 보는 인터넷 쇼핑을 비즈니스의 성공요소가 무엇인지를 도출해 보았다.

• 디지털융복합연구
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• 제6권1호
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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.

• 조명전기설비학회논문지
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• 제25권4호
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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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• 제17권1호
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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.

• 정보관리학회지
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• 제24권3호
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• pp.93-117
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• 2007

본 논문은 C대학도서관의 학술정보시스템(LAS)에 구축되어 있는 장서와 대출기록 및 고객관련 데이터를 수집하여 이를 분석하고 그 결과를 고객관계관리(CRM)에 적용할 수 있는 방안을 제시하였다. 수집된 자료는 C대학도서관에서 소장하고 있는 대출이 가능한 단행본 총 269,387책의 서지데이타와 고객 12,281명의 데이터, 이용자 대출기록 39,269건이었다. 대출기록 분석 데이터에서 관계변수로 이용자 신분, 대출빈도, 대출책수와 대출횟수, 출판년도를 추출하여 데이터 마이닝 기법으로 분석하고, 상관계수로 검증하였다.

• 지역과문화
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• 제7권2호
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• pp.155-172
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• 2020

본 연구는 콘텐츠 내에서 소개되는 상품과 서비스에 대한 소비자 태도에 영향을 미치는 요인들을 분석하고, 요인별로 한국과 중국의 소비자 간 차이가 있는지를 탐구하였다. 소비자 태도에 영향을 미치는 요인에 대한 분석에서 독립변인으로 정보성, 신뢰성, BJ 매력성, 소비자혁신성을 설정하였다. 분석 방법으로 확인적 요인분석, 상관관계 분석과 위계적 회귀분석을 사용하였다. 분석 결과, 소비자혁신성, BJ 매력성, 신뢰성의 순서로 영향력이 큰 것으로 나타났으며 정보성의 영향은 통계적으로 유의하지 않았다. 대체로 소셜 미디어나 디지털 광고의 효과와 관련된 선행연구들과 일치하는 결과였다. 정보성의 영향은 관련 연구에서 소비자나 채널의 특성에 따라 유의하거나 유의하지 않은 경우가 엇갈리게 보고되고 있어 관련한 후속 연구가 필요하다. 요인별 한국과 중국 소비자의 차이는 독립표본 t-test 방법을 통해 검증하였다. 신뢰성, BJ 매력성, 태도 항목에서 중국 소비자들의 점수가 더 높았고 평균 차이는 유의하였다. 이는 체험형 1인 미디어콘텐츠가 연계되는 미디어커머스 환경의 차이에 기인한 것으로 판단할 수 있다. 정보성과 소비자혁신성의 차이는 유의미하지 않았다. 향후 연구대상의 범위를 확대 및 실험방식 도입을 통한 후속 연구를 기대한다.