• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.1
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• pp.142-147
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• 2014

Finite element analysis along with DOE scheme has been performed to obtain robust design of connecting rod assembly. An analysis was conducted with five loading steps. Fatigue analysis was done using commercial software FEMFAT and fatigue safety factors at the interested regions such as shank area of small end and big end were calculated. 27 design cases using 3 factors with 3 levels are constructed by design of experiment. Each case is simulated to find the most influential factors. Response for this study, maximum Von-Mises stress, has been used to determine main factors of connecting rod assembly. Among the 3 factors, compression load affected the response greatly. However, bolt assembly load and width of shank flat area showed a little influence to the response. Interaction effects among factors considered did not occur. Connecting rod assembly considered in this study showed its sensitivity to the noise factor such as compression load rather than design factor such as width of flat shank area.

• The Research Journal of the Costume Culture
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• v.23 no.3
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• pp.468-483
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• 2015

Fast fashion brand marketers should develop marketing strategies that effectively satisfy the values consumers seek when purchasing fast fashion brands. This study aimed to identify the consumption value factors of fast fashion brands and to reveal the value factors that influence attitudes toward purchasing fast fashion brands. Data were gathered by surveying university students in the Seoul metropolitan area using convenience sampling. Three hundred and five questionnaires were used in the statistical analysis, which consisted of exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. The factor analysis revealed the following six value factors: Emotional value, social value, price/value for money, durability value, eco-value, and consistency value. The fit statistic for the six-factor model was quite acceptable. Two of the six value factors, emotional value and price/value for money, positively influenced attitudes toward purchasing fast fashion brands. The overall fits of the revealed model suggested that the model fit the data well. The results suggested that fast fashion marketers need to understand the value factors that motivate consumers to purchase fast fashion brands. In addition, marketers should focus their efforts on satisfying emotional value and price/value for money in order to establish their brands in the increasingly competitive fast fashion industry.

• The Research Journal of the Costume Culture
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• v.8 no.6
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• pp.930-939
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• 2000

This study was done to provide the fundamental data for scientific and rational children's clothing sizing system by investigating their somatometric characteristics and classifying somatotypes. The subjects were 269 elementary schoolgirls aged from 7 to 8 years old living in Pusan and Kyungsangnam-do. Data from each girl comprises 28 anthropometic measurments and 4 photographic measurments, related to the lower half of body. To analyze somatotypes of the lower half of body, factor analysis, cluster analysis, discriminant analysis were performed for statistical analysis of the data. As to the analysis to draw somatometric factors by this age group, five factors which explain 76.85% of the whole variances were extracted. The first and second factors which explain more than 60% of the whole variances represent 'horizontal size'and 'vertical size', which characterize most aspects of the body shape of the subjects. On the basis of the cluster analysis, three different lower half of body types were categorized. Type Ⅰ has biggest horizontal size, average vertical size and most protruded belly. Type Ⅱ has average degree of horizontal size, quite big vertical size and most protruded hips. Type Ⅲ has smallest horizontal and vertical size. According to the analysis to discriminate somatotypes of the lower half of body of this age group, weight and waist circumference of discriminant function 1 and abdominal circumference of discriminant function 2 have coefficient values.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.8
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• pp.1202-1210
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• 2007

The purpose of this study was to identify factors of shopping orientation and factors of preferred stores for female shoppers aged from 45 to 64. Also women's markets for these ages were segmented based on their shopping orientation, and consumer groups were compared in terms of demographics and preferred store characteristics. Data from 238 women aged between 45-64 were collected by survey method and used for statistical analyses. Factor analysis, cluster analysis, $X^2$ test, F test, Duncan test were done. The results were as follows. First, five shopping orientation factors, such as high involvement, fashion orientation, brand orientation, other people orientation, and economic orientation were found. Second, five factors of preferred store characteristics were identified. They were store environment, product characteristics, trend and brand, accessibility, and sales personnel factors. Four consumer groups of brand pursuing, fashion pursuing, other-dependent, and high-involvement were classified. Those consumer groups showed significant differences in terms of demographics and preferred store characteristics. In conclusion, Korean women aged 45-64 were shown to have some differences in their shopping orientation compared with young women and to differ in preferred store factors among their groups.

• Korean Journal of Agricultural Science
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• v.49 no.4
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• pp.1067-1083
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• 2022

The objectives of this study were to classify the types of elderly households and to compare the characteristics of their dietary lifestyle. Panel data surveyed by Korea Rural Economic Institute (KREI) for Food Purchase Attitudes over three years (2019 - 2021) were utilized for the analysis. Through a factor analysis, five common factors were extracted out of 19 basic variables related to dietary style, which indicate two kinds of consumer competency index (safe diet, traditional diet) and three kinds of purchase frequency (healthy food, meat & fish, fresh seafood). Applying the cluster analysis method, by using socioeconomic variables along the five common factors, elderly households aged 60 or older were grouped into four types. As a result, Type 1 elderly households accounted for 50.8%, Type 2 for 16.2%, Type 3 for 27.8%, and Type 4 for 5.2% out of all 870 elderly households. Type 1 is characterized as a low-income vulnerable class with a poor diet, Type 2 as a middle-income class with a healthy food-oriented diet, whereas Type 3 was classified as a middle-income class with a meat-oriented diet, and Type 4 as a high-income class with diverse dietary culture. It is necessary to expand the agri-food voucher pilot project to the entire country and also increase the monthly subsidy for the Type 1 elderly households. Implementing community kitchen projects for elderly single-person households, promoting senior internships by providing incentives to companies that employ retirees, the provision of education by local governments on a safe and balanced diet for Types 2 and 3, and the promotion of an elderly-friendly social environment are also recommended.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.5
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• pp.748-759
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• 2000

The purposes of this study were 1) to classify wearing situation of male adolescents and 2) to classify self-image and CPI(Clothing Preference Image) of male adolescents and 3) to segment consumer group by self-image and to find the differences in self-image and CPI by situation among groups. For the data collection a questionnaire was distributed to male adolescents who were residents in Seoul and Taejeon. The statistics used for the data analysis were factor analysis, multiple dimensional scale, mean, percentage, peason-correlation, cluster analysis, one-way ANOVA, Duncan-test by the SPSSWIN program. The results of this study are as follows: 1) The self-image of male adolecents is categorized by seven factors; sophisticate and fashion conscious, active, practical and realistic, flank and pure, young-looking, feminine, and slender. Based on seven factors, the consumer group is categorized to five groups; practical and realistic Group1, young-looking and feminine Group2, characterless Group3, active Group4, sophisticate and flank Group5. 2) Wearing situations are divided into three categories; in downtown, in urban, at festival. In downtown, CPI are divided into six elements; ornamental, simplex, sexy, feminine, neat, young, and sophisticate. In urban, CPI are divided into five elements; ornamental, simple, sexy, feminine, young-looking, and sophisticate. At festival, CPI are divided into four elements; unique, simple, feminine, and formal. To conclude, the male adolescent consumers are categorized by self-image, and the different CPIs are sought by different wearing situations.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.5 s.142
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• pp.637-648
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• 2005

The purpose of this study was to investigate the differences among internet and TV home-shopping perceived risk segments in regard to clothing shopping orientations and purchase intention. The subjects used for the study were 290 female consumers aged from 20 to 40 living in Seoul. The study used factor analysis, cluster analysis, ANOVA, Duncan test, and $\chi^2-test$. The results showed that the Internet and TV home-shopping perceived risks consisted of 9 factors: Products uncertainty risk, Internet shopping mall trust risk, account-related risk, delivery risk, social risk, size risk, exchange/return risk, TV watching-related risk, and price risk. The cluster analysis showed that there were five groups segmented: Size risk/TV watching risk group, Social risk/Internet trust risk group, Return risk/TV watching low-risk group, Delivery risk/product trust group, and Product risk group. The clothing shopping orientations were classified by 5 factors: Planned shopping, pleasure shopping, sales/fashion oriented shopping, time saving shopping, and credit card preference/in-store oriented shopping. The results showed that the five segmented perceived risk groups differed in regard to clothing shopping orientations, purchase intention, and demographics. Further group differences and implications of the results were discussed.

• Health Policy and Management
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• v.4 no.2
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• pp.58-76
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• 1994

In order to study factors affecting the use of the ambulatory physician services. Andersen's model for health utilization was modified by adding the health behavior component and examined with three different approaches. Three different approaches were the multiople regression model, logistic regression model, and LISREL model. For multiple regression, dependent variable was reported illness-related visits to a physician during past one year and independent variables are variaous variables measuring predisposing factor, enabling factor, need factor and health behavior. For the logistic regression, dependent variable was visit or no-visit to a physician during past one year and independent variables were same as the multiple regression analysis. For the LISREL, five endogenous variables of health utiliztion, predisposing factor, enabling factor, need factor, and health behavior and 20 exogeneous variables which measures five endogenous variables were used. According to the multiple regression analysis, chronic illness, health status, perceived health status of the need factor; residence, sex, age, marital status, education of the predisposing factor ; health insurance, usual source for medical care of enabling factor were the siginificant exploratory variables for the health utilization. Out of the logistic regression analysis, health status, chronic illness, residence, marital status, education, drinking, use of health aid were found to be significant exploratory variables. From LISREL, need factor affect utilization most following by predisposing factor, enabling factor and health behavior. For LISREL model, age, education, and residence for predisposing factor; health status, chronic illess, and perceived health status for need factor; medical insurance for enabling factor; and doing any kind of health behavior for the health behavior were found as the significant observed variables for each theoretical variables.

• Journal of Korean Society of Rural Planning
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• v.9 no.1 s.18
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• pp.19-26
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• 2003

This study investigated and analyzed the current status and operations of tourism farms in the Chuncheon area. By adopting the GIS, an analysis was made of whether the five old tourism farms utilized suitability and how they could open a new one in a suitability. The following results were drawn from the analysis of natural and social suitability factors and accessibility. Time requirements were analyzed taking into account that a majority of tourists came from Seoul and Gyeonggi, area. Four of the five tourism farms were within one hour travel, from these areas but it seemed impossible that they could be reached within one hour considering the actual road conditions and traffic. The natural and social suitability factors of a tourism farm were overlay-analyzed. The land of the first and second class that was considered to be suitable for a tourism farm was $17.12km^2$, which accounted for 1.38% of the entire area examined in the study and 11.50% of the entire agricultural land. The area that was evaluated to be suitable for a tourism farm will be able to attract new tourism farms in the future.

• The Korean Journal of Food And Nutrition
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• v.27 no.1
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• pp.128-135
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• 2014

The purpose of this study is to analyze the gap in perceived importance-satisfaction rates of foreign Chinese students regarding the university foodservice selection attributes. All statistical analyses are conducted by the SPSS package program (ver 20.0). The results of the statistical analyses are as follows: The validity of the 22 food service selection attributes is being evaluated via the exploratory factor analysis and then five factors are extracted. The five factors are: 'Factor 1. Cleanness and service quality', 'Factor 2. Food quality and price', 'Factor 3. Physical environment', 'Factor 4. Convenience', and 'Factor 5. Service environment'. According to the results of one-way ANOVA, physical environment showed that significant differences across the periods of residence in Korea and the eating frequency at on campus foodservices. On the other hand, the food quality and price, convenience, and service environment showed that significant differences across the periods of residence in Korea. In addition, according to the Importance-Satisfaction Analysis results, 'ventilation of dining room' is the key aspect that university food service managers should reinforce. In conclusion, in order to increase the customer satisfaction rates, the food service managers should not only improve the quality of food and service but also the physical environments of the food service facility.