• Fashion & Textile Research Journal
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• v.10 no.6
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• pp.890-899
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• 2008

This study aimed to identify the effects of service quality of internet shopping malls on consumer satisfaction and word of mouth intention. The data were obtained from questionnaires completed by 345 people aged between 20 and 39 living in Busan. The SPSS package was used for data analysis whose methods included factor analysis, ANOVA, cluster analysis and regression analysis. The results of this study were as follows: First, the service quality factors were determined to be reliability, diversity, convenience, accuracy & communicability. Differences among the groups divided by service quality factors were found to be meaningful in consumer satisfaction and word of mouth intention. Second, reliability, diversity, convenience & accuracy significantly affected consumer satisfaction, however all the service quality factors significantly effected word of mouth intention. Finally, consumer satisfaction, reliability, diversity, accuracy & communicability had an significant effect on word of mouth intention. It would be helpful for the managers of internet shopping malls that consumers can be satisfied with right fashion products and efficient inter-communication based on trustfulness in the long-term relationship.

• Fashion & Textile Research Journal
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• v.9 no.5
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• pp.472-477
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• 2007

This study was intended to identify the constructing factors and hierarchy of images in the gathered skirts, which is expected to be helpful in shape classification. The gathered skirts were made by different gathering conditions: three kinds of the gathers ratio(1.5T, 2.0T, 2.5T) and different fabrics(cotton, mixed wool, polyester). 45 undergraduate and graduate women students responded to the nine gathered skirts during December in 2004 to February in 2005. 184 words expressing gathered skirt were collected through the investigation and analysis of questionnaires. 32 words arranged in based on the standard form with frequency before conducting factor analysis to identify the constructing factors of gathered skirt images. As a result of factors analysis, 2 factors-H shape, A shape were found out as constructing factors of gathered skirts. To explain the hierarchy of gathered skirt images, cluster analysis was applied. To observe the association of 32 words, dendrogram was introduced, and to interpret the result, five sub clusters were determined. This 5 clusters were continuously combined according to their frequency, based on the factors marks. Two major division of image clusters were 'simple and neat image', and 'fairly good and feminine image'.

• Fashion & Textile Research Journal
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• v.19 no.1
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• pp.30-39
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• 2017

This study examines on the relationship of appearance instrumentality and appearance-related variables (appearance concern, appearance management behavior) of college students. Questionnaires were administered to 313 college students living in Daegu. The SPSS 20.0 package was utilized for data analysis which included frequency analysis, Cronbach's ${\alpha}$, factor analysis, cluster analysis, cross tabulation analysis and t-test. Three factors of appearance instrumentality(love relationship, social achievement, interpersonal relationship), two groups of appearance concern(high, low) and five factors of appearance management behavior(skin care/cosmetics usage behavior, body management behavior, plastic surgery behavior, hair management behavior, fashion management behavior) were utilized for the problem analysis of the study. The results of this study were: First, there was no significant differences in the appearance concern group according to appearance instrumentality. Second, appearance instrumentality had a significant differences on appearance management behavior. Social achievement showed a significant differences in plastic surgery behavior. And love relationship showed a significant differences on plastic surgery behavior and fashion management behavior. Third, the appearance concern had a significant differences on all of appearance management behavior. High group of appearance concern showed a higher average than low group of appearance concern in fashion management behavior, skin care/cosmetics usage behavior, hair management behavior, plastic surgery behavior, body management behavior.

• Journal of Technology Innovation
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• v.4 no.1
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• pp.1-26
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• 1996

Traditional studies of new venture performance have focused on the characteristics of entrepreneurs and have shown conflicting results on the relationship between the characteristics and performance of new ventures. Recently, some researchers have broadened their search to include aspects of the industry and the strategy of new ventures. The purposes of this study are to identify wtrategic archetypes of new ventures based on the taxonomic approach and to explain the differences in new venture characteristics and performance among strategic archetypes. To find the strategic archetypes, 114 new venture CEOs from various industries were asked to describe their ventures' competitive strategy through 19 questionnaire items on competitive methods. Using factor analysis and subsequent cluster analysis, four archetypes were identified such as : versatile type, technology-driven type, market-oriented type, and cost reduction type. The results imply that there exist different types of venture strategy even among new technology-based venture firms in Korea, and show the differences in performance among strategic archetypes: market-oriented type and versatile type are better than cost reduction type in terms of growth rate and profitability. Because the venture strategy in identified as a major determinant of the venture performance in this study, the choice of venture strategy suitable for firm's industrial characteristics and internal resource bases becomes a very strategic decision for firm's sustained growth. Further studies are needed to strengthen some methodological limitations of the study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.12
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• pp.5972-5989
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• 2019

With the onset of the big data age, data is growing exponentially, and the issue of how to optimize large-scale data processing is especially significant. Large-scale global optimization (LSGO) is a research topic with great interest in academia and industry. Spark is a popular cloud computing framework that can cluster large-scale data, and it can effectively support the functions of iterative calculation through resilient distributed datasets (RDD). In this paper, we propose a hybrid mechanism of particle swarm optimization (PSO) and differential evolution (DE) algorithms based on Spark (SparkPSODE). The SparkPSODE algorithm is a parallel algorithm, in which the RDD and island models are employed. The island model is used to divide the global population into several subpopulations, which are applied to reduce the computational time by corresponding to RDD's partitions. To preserve population diversity and avoid premature convergence, the evolutionary strategy of DE is integrated into SparkPSODE. Finally, SparkPSODE is conducted on a set of benchmark problems on LSGO and show that, in comparison with several algorithms, the proposed SparkPSODE algorithm obtains better optimization performance through experimental results.

• 한국전산유체공학회:학술대회논문집
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• 2002.05a
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• pp.8-15
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• 2002

For the large scale computation of turbulent flows around an arbitrarily shaped body, a parallel LES (large eddy simulation) code has been recently developed in which domain decomposition method is adopted. METIS and MPI (message Passing interface) libraries are used for domain partitioning and data communication between processors, respectively. For unsteady computation of the incompressible Wavier-Stokes equation, 4-step splitting finite element algorithm [1] is adopted and Smagorinsky or dynamic LES model can be chosen fur the modeling of small eddies in turbulent flows. For the validation and performance-estimation of the parallel code, a three-dimensional laminar flow generated by natural convection inside a cube has been solved. Then, we have solved the turbulent flow around MIRA (Motor Industry Research Association) model at $Re = 2.6\times10^6$, which is based on the model height and inlet free stream velocity, using 32 processors on IBM SMP cluster and compared with the existing experiment.

• Fashion & Textile Research Journal
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• v.1 no.2
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• pp.127-136
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• 1999

The purpose of this research was to investigate the difference between perceptions of the nude body and of the clothed body as measured by body cathexis scale. Subjects were 274 college male and female between 20~30 yrs. Data were analyzed by using frequency, T test, cluster analysis, Duncan test by using Spss for window 8.0 PC program. Significant difference were found between mean scores of male and female on the nude body cathexis (NBC) and clothed body cathexis (CBC) Scales for hair texture, hair color, face, face color, shape of head, eye, lips, forehead, back, trunk, waist, bust, leg of shape, chest, hip. On the difference between male and female, significant differences were found between NBC and CBC scales for all body parts except hair texture, face color, ears, eyes, teech. Male had higher satisfaction than female in both body cathexis. The taller men, the higher body satisfaction with face shape, body shape, height in both body cathexis. Before appearence management, the bigger men, the higher body satisfaction with musle, waist, height, chest, body shape in both body cathexis. Male had higher satisfaction than female in both body cathexis. The taller women, the higher body satisfaction with neck, body shape, height in before appearence management. The bigger women, the higher body satisfaction with heights, weight distributions, waist, height in both.

• Fashion & Textile Research Journal
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• v.17 no.2
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• pp.203-215
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• 2015

This study classifies vanity into groups, analyzes age differences and categorizes price attitudes toward apparel products. Questionnaires were administered to 461 college students living in Daegu City and Kyungbok province. Data were collected using frequency, factor analysis, cluster analysis, correlation analysis, regression analysis, ANOVA, Duncan-test, and t-test. The findings were as follows. College student vanity was classified into three groups of appearance/ achievement pride, low vanity, and appearance/achievement concern. Vanity showed a significant correlation with sub-variables of age difference and price attitude towards apparel products. Appearance pride and achievement concern (sub-variables of vanity) had a significant effect on the conspicuous of price attitude toward apparel products. Appearance pride and Appearance concern (sub-variables of vanity) had a significant effect on information of price attitude toward apparel products. Gender of college students showed a distinction insub-variables of vanity factors such as appearance concern and price attitude toward apparel products such as information, quality, and using coupons. Male students were distinct in look and health as well as age differences by group; female students were distinct in age perception differences (a sub-variable of age difference). Both male and female students showed differences in conspicuousness (a sub-variable of price attitude) toward apparel products by group.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.57-65
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• 2009

The purpose of this study was to investigate the effects of cognitive age, service quality, and consumer satisfaction on repurchase intention according to silvers' lifestyle types in the hairdressing shop. Data were obtained from 853 women in the 50's and 60's who living in Busan. Data were analyzed by factor analysis, Cronbach's alpha, cluster analysis and path analysis using SPSS WIN 12.0 and LISREL 8.53. The results of the study were as follows: First. silver consumers were classified by the lifestyle into the Active self-fidelitist, Economy family-oriented, and Passive-stagnant. Service quality of hairdressing shop were consisted of Personal Service, Facilities Service, Skill Service, and Policy Service. Second, according to silvers' lifestyle types, repurchasing intention was differently influenced by cognitive age, perceived store service quality, and consumer satisfaction when hairdressing services. Hairdressers were the most important variable for silver consumers' satisfaction, which influenced the repurchase intention of hairdressing services.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.48-56
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• 2009

The purposes of this study were to segment knit wear consumers by their lifestyles and to examine knit wear purchase behavior among the lifestyle segments. The subjects of this study were female consumers who were residents in Seoul and metropolitan areas. The researchers distributed the questionnaires and the final sample of 357 was used for the data analysis. The statistical analysis methods used for the study were factor analysis, cluster analysis, ANOVA, Duncan test, and ${\chi}^2$-test. The results showed that the lifestyle factors had 6 dimensions: fashion, planned purchase, socially active, impulsive consumption, brand, and leisure/culture. These factors were categorized into four groups: brand oriented group, passive group, rational/social group, and fashion/impulsive consumption group. The results also showed that there were significant differences among the groups in regard to knit wear purchase criteria, knit wear image preferences, and other knit wear purchase behaviors. For example, brand oriented group considered design and brand name/fashion important as knit wear selection criteria, and the group preferred an elegance image and a modern image than did other groups.