• Journal of the Korea Computer Industry Society
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• v.2 no.4
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• pp.435-442
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• 2001

According to the current increase of the usefulness of information in Internet, several methods are proposed in which multimedia information may be efficiently managed and retrieved. The purpose of this paper is to propose the new grouping method by SRR(Semantic Reference Relation) and DRR(Direct Reference Relation). The important point of this method proposed in this paper is to group MDI(Multimedia Document Informations) as a cluster of this multimedia objects. According to the result of experimental simulation, which has been tested by by the 1,000 multimedia items in internet, this method has made more efficiently the service and grouping of MDI possible than any other methods do in internet.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1209-1216
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• 2015

Competing-risks events are often observed in a clustered clinical study such as a multi-center clinical trial. We propose a joint modelling approach via a shared frailty term for competing risks survival data from a cluster. For the inference we use the hierarchical likelihood (or h-likelihood), which avoids an intractable integration. We derive the corresponding h-likelihood procedure. The proposed method is illustrated via the analysis of a practical data set.

• Fashion & Textile Research Journal
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• v.11 no.4
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• pp.549-555
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• 2009

The purpose of this study was to investigate the effects of service quality on consumer satisfaction and loyalty according to clothing involvement at internet shopping mall. Data were obtained from 400 college students living in Busan. Data were analyzed by factor analysis, reliability analysis, cluster analysis, t-test and regression analysis using SPSS WIN 14.0. The results indicate that companies of shopping mall striving for consumer loyalty should focus primarily on satisfaction and service quality perceived by consumer at Internet. The effects of clothing involvement on the association of consumer loyalty, satisfaction and perceived service quality are significant. This finding provides the information being efficient to develop marketing implications related to internet shopping mall.

• Fashion & Textile Research Journal
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• v.3 no.2
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• pp.148-155
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• 2001

The purpose of this study was to segment the clothing customers of new traditional market according to shopping orientation and to clarify the different clothing behaviors among segmented groups. This study may be useful for new traditional marketer to make proper marketing strategies. The subjects for the final analysis were 400 customers who visited Namdaemoon and Dongdaemoon new traditional markets. The statistics used for analysis were factor analysis, cluster analysis, Cronbach-${\alpha}$, one-way ANOVA, LSD multiple range test and chi-square by the SPSS program. The results of this study were as follows: 1. The customers of new traditional market were segmented to 5 groups (Diffidence Group, Confidence/Information Group, Active Group, Shop/Brand Loyalty Group and Planned Purchasing Group); 2. The five segmented groups were significantly different in clothing evaluation standards, shop evaluation standards, satisfaction and demographic variables such as sex, age, education and monthly spending money.

• Fashion & Textile Research Journal
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• v.10 no.2
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• pp.173-180
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• 2008

The purposes of this study are to investigate what star marketing is and to examine whether star marketing influences clothing purchase behavior of adolescents or not. The concept and the instances of star marketing were reviewed and the characteristics and clothing behavior of adolescence were analyzed. The data were obtained from questionnaires completed by 341 middle and high school students and analyzed by frequency, t-test, chi-square test, cluster analysis, ANOVA, and Scheffe test. The Cronbach's alphas were calculated for the internal consistency. The results of the study are as follows. The sample was classified into three groups(high interest/high awareness group, high interest/low awareness group, and low interest/low awareness group) by the interest of TV watching and TV stars, the identification with TV stars, and the awareness and the interest of star marketing. There were significant differences in clothing purchase motives, the use of information sources, clothing buying places, clothing purchase frequency, and clothing expenditure among three groups.

• Knowledge Management Research
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• v.19 no.1
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• pp.175-202
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• 2018

The aim of this conceptual article is to explore the sharing economy ecosystem concept in innovation policy context with cluster, innovation system, smart specialization and business ecosystem approaches. This study conducts comparative study to understand what has been changed by sharing economy through Uber case in four cities. By analyzing vital constructs in sharing economy ecosystem, we suggest how sharing economy ecosystem works, and presenting core factors in policy framework of sharing economy ecosystem. In addition, we attempt to explain that policy maker should consider the relationship between these factors. The result of this paper shows sharing economy ecosystem has developed with their characteristics and constructs that are different with traditional industry.

• Fashion & Textile Research Journal
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• v.6 no.5
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• pp.585-594
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• 2004

This study aimed to classify the lifestyles of 1020 college students, and to analyze the effect of the lifestyles on the usages of credit card, price perception, purchasing satisfaction and the number of new clothing. The number of credit cards, total payment of credit cards and the attitude to credit card were different by the 7 clusters of college students, but the frequency of credit card use, the amount of cash service and arrear ages were not different. The perception to the apparel price, purchasing satisfaction, and the degree of clothing purchasing varied according to the lifestyle clusters. For example, 6th cluster being highest in the pursuit of appearance showed the highest amount of credit cards usage significantly and tendency of highest arrearage, and used credit cards mostly in clothing purchase.

• Fashion & Textile Research Journal
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• v.4 no.1
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• pp.40-46
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• 2002

The purpose of this study was to classify the clothing purchasing behavior of department store credit card users according to fashion lifestyle. The questionnaire was administrated to 346 female department store credit card users aged over 20 living in Daegu, Frequency factor analysis, cluster analysis, one-way Analysis of Variance (ANA), MANOVA, Scheffe test, ${\chi}^2$-test and t-test were used for satistical analysis. The consumers' lifestyle was classified by fashion oriented, practical and self conspicuous. The results showed that the credit card users' clothing purchasing behavior was different according to the fashion lifestyle. The self conspicuous group showed the highest score in impulse buying.

• Fashion & Textile Research Journal
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• v.10 no.6
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• pp.882-889
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• 2008

The purpose of this study is to analyze the differences of attitudinal body image and clothing behavior according to the body cathexis. The data were collected via a self-administered questionnaire from 419 male and female college students in Jechon and analyzed by factor analysis, cluster analysis, t-test and regression. The results of this study were as follows : 1. Male students were more satisfied with their body than female students. Also it was found that height influenced to the body cathexis only to male students. 2. Attitudinal body image and clothing behavior classified into four factors. 3. Male and female students classified into satisfied and unsatisfied group and each group showed different attitudinal body image and clothing behavior. 4. Different attitudinal body images affected to the clothing behavior according to body cathexis and gender.

• Asian Journal of Innovation and Policy
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• v.9 no.2
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• pp.145-163
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• 2020

The COVID-19 is a pandemic that affects all facets of our life and will change many patterns in science technology and innovation. A qualitative study was conducted using Focus Group Interview involving ten industry-academia-research experts with the objective of identifying changes in Korea's national innovation system and science & technology policy after the COVID-19. Eight questions were designed, based on the major components of the national innovation system, such as companies, universities, and research institutes, to discuss the changes in the national innovation system and science & technology policy. Also, keyword analysis and cluster analysis were performed using the network analysis program VOSviewer. It is predicted that, in the wake of the COVID-19, Korea's national innovation system will shift to a new paradigm that is more decentralized, responsive, and autonomous. Furthermore, several policy agendas that can turn these changes into positive momentum of change in science & technology policy are presented.