• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.43-54
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• 2021

The study evaluates India's technological advancement, which has created a range of opportunities for consumers to enter into digital payment space. Demonetization in India has forced all consumers and companies to embrace and create cashless digital payment platforms. The cashless economy scenario involves various factors for its adoption such as reach, availability and awareness. This study considers factors responsible for adopting new digital payment technologies in India's different regions across various consumers. The study includes descriptive statistics and variance analysis (ANOVA) to identify elements to achieve maximum satisfaction. The research collects data from 250 respondents living in India, experiencing digital payments and online transactions. The data is collected through a structured questionnaire and critically analyzed using statistical analysis. The data has been analyzed with no sectorial biases and tracked by creating real-time indications. The study uses various hypotheses after taking responses from a sample of respondents. Cronbach's Alpha analysis is also used to determine the validity and reliability of the data. The study illustrates the complete shift of consumer behavior from cash to a cashless economy. A certain number of factors are shown to directly influence the rate of such a shift toward digital transactions in India.

• International Journal of Naval Architecture and Ocean Engineering
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• v.13 no.1
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• pp.321-339
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• 2021

Response Surface Method (RSM) has been widely used for flammable cloud size prediction as it can reduce computational intensity for further Explosion Risk Analysis (ERA) especially during the early design phase of offshore platforms. However, RSM encounters the overfitting problem under very limited simulations. In order to overcome the disadvantage of RSM, Bayesian Regularization Artificial Neural (BRANN)-based model has been recently developed and its robustness and efficiency have been widely verified. However, for ERA during the early design phase, there seems to be room to further reduce the computational intensity while ensuring the model's acceptable accuracy. This study aims to develop an integrated method, namely the combination of Center Composite Design (CCD) method with Bayesian Regularization Artificial Neural Network (BRANN), for flammable cloud size prediction. A case study with constant and transient leakages is conducted to illustrate the feasibility and advantage of this hybrid method. Additionally, the performance of CCD-BRANN is compared with that of RSM. It is concluded that the newly developed hybrid method is more robust and computational efficient for ERAs during early design phase.

• Fashion & Textile Research Journal
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• v.25 no.3
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• pp.267-279
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• 2023

The current bra market and the purchasing behavior of women of the MZ generation in Korea are reviewed in this study. Therefore, basic data for bra product planning for women of the MZ generation are presented by investigating the wearing status and satisfaction. Through online surveys, 272 questionnaires were obtained and were analyzed through frequency analysis, cross-analysis, t-test, and variance analysis. Generation M and Generation Z share digital culture, but, due to age differences, they are compared by generation. There was, however, little significant difference between these groups. In addition, there was no significant difference between groups when factoring for the time of wearing, place of purchase, and material of bras. However, there were big differences between groups depending on whether bras had wires, lace, and their size, especially in body correction items. According to the results, it is pointless to target each generation when making a bra. Also, the young generation consumers are more interested in functionality than in the design compared to 10 years ago. It will improve consumer satisfaction if two different types of bras are produced; one that corrects the body and one that fits well even if the body is less corrected.

• Proceedings of the Korean Society for Information Management Conference
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• 2002.11a
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• pp.23-65
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• 2002

This study is to consider varying factors of internal/external informational and operational environments in libraries, and develop a new evaluation indicators for university libraries in digital environments. In order to do this research, the previous works have been investigated, and the Delphi study and our own analysis have been performed. The main research results are as follows. First, the results through the Delphi method that was to adopted to verify evaluation items and indicators determined by the literature review show that the repressed values for each evaluation category is greater than 3.00. overall average is 4.02. and standard deviation is ranged from 0.40 to 0.62 for each category. This means that the evaluation indicators are valid. Second, the factor analysis was performed to verify the construct validity of evaluation indicators. As a result. the cumulative variance of evaluation indicators consisting of 11 dimensions per factor is 72.733%. In turn, this result shows that the validity of these indicators is very reliable. Third, t-test and one way ANOVA are performed within significance probability 0.05 in order to verify differences in each librarians point of views for the degree of importance in evaluation indicators. The results show that these evaluation indicators are verified to be appropriate since there is no significant difference. Based on the Delphi study and our own analysis. we developed a new evaluation indicators that consists of 7 evaluation categories, 35 evaluation items, and 92 evaluation indicators.

• Korean Journal of Human Ecology
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• v.12 no.4
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• pp.497-508
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• 2003

This research was conducted to activate the horne shopping by providing the basic data about demographic characteristics, purchase practices and satisfaction degree of women consumers. The subjects were 328 women consumers residing in Cheongju who had purchased apparel products through home shopping. Collected data were analyzed by frequency analysis, t-test, analysis of variance, and cross-tabulation analysis using SPSS. The results were as follows: 1) When purchasing formal wears, casual wear and furnishing textile products through home shopping, respondents considered the design and fiber content seriously, and when purchasing underwear, the fiber content and size. 2) When purchasing apparel products, most of respondents confirmed apparel labels, and married women confirmed more than single women did. Among apparel labels, fiber content, care symbol, and size were the items that respondents considered most. 3) The single women managed internet and knew the value of internet in searching information or purchasing apparel products better than married ones. 4) When purchasing apparel products via home shopping, respondents used TV, catalog, and internet in order. 5) Degree of satisfaction for clothing purchased via home shopping was in ordinary level, high for furnishing textile products and low for formal wears.

• Child Health Nursing Research
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• v.7 no.2
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• pp.203-212
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• 2001

The subjects were 349 high school boys and girls who were 10th and 11th graders in Seoul, Korea. Statistical analysis included percentages, means, Pearson correlation coefficient, ANOVA, t-test, and stepwise multiple regression analysis. As a result, there were positive correlations between social support, stress reduction and increases in health behavior. Stepwise multiple regression analysis of social support, stress, and adolescents health behavior showed that social support explained 26.3％ of the variance in health behavior, The more social support subjects experienced more health behavior level and the less the correlated stress level. In the area of demographic attributes, gender, height, weight, grade level, socioeconomic level of the parents, and stress were significantly correlated, grade levels, religion, socioeconomic level of parents and social support. sibling order, religion, socioeconomic level of the parents, parents education, occupation of father. and health behavior were statistically significant The findings indicated stress was a negative factor in health behavior, and social support was a positive factor in reducing stress and promoting health behavior. To reduce adolescents stress and to promote health behavior, we should endeavor to develop realistic social support programs.

• Journal of the Korean Home Economics Association
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• v.35 no.2
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• pp.217-234
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• 1997

This study attempts to analyze some determinants of consumers' medical service quality and their complaining behavior. The results can be summerized as follows: 1. The determinants of consumers' perceived medical service quality could be categorized as five factors; i.e. nursery, hospital environment, medical doctors, other staffs service fee. Among them nursery sector consists of 32% variance. 2. According to the discriminant analysis, those determinants are of great value to distinguish between satisfied/unsatisfied group. The hit ratio was 85.4% which is relatively high score. 3. The type of complaining behavior could be grouped into no action, private and public complaining behavior. Most of respondents belonged to no action group and a few showed private complaining behavior. Any respondents who were willing to show public complaining behavior could not be found out. 4. These variables which influence complaining behavior were preconception toward hospital, barrier to complaining process and expected complaining behavior. Among them the first one was most influential variable. 5. In order to distinguish between complaining/non complaining behavior group, discriminant analysis was done. The result showed the above three variables had a significantly discriminatory power, the hit ratio reaching above 70%. In summary, we can see that consumers' evaluation on the whole medical service depends on the external factor such as staffs' attitude or hospital facilities due to the lack of their ability to evaluate highly specialized service like doctor's treatment.

• Women's Health Nursing
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• v.21 no.1
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• pp.32-42
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• 2015

Purpose: The purpose of this study was to investigate factors that influence married female immigrants' perceived health status. Methods: This study was a retrospective review of dataset from the 2012 National Multicultural Family Survey in Korea. Data were analyzed using descriptive statistics, t-tests, an analysis of variance (ANOVA), Pearson correlation analysis, and multiple regression with the data of 3,014 married female immigrants. Results: Multiple regression analysis showed that demographic factors (age, education level, nationality, period of residency in Korea, and residential area), socio-economical factors (monthly family income, employment, support from the government for basic living, and Medicaid), social support factors (marital conflict, satisfaction with family relationships, some one to talk about self or family matters, meeting with homeland friend, and participation in community meeting), and immigration factors (life satisfaction, experience of social discrimination, and difficulties with living and using medical care) were associated with perceived health status. Conclusion: It is important to pay closer attention to immigrant women who have low economic status, less social support, experience difficulties with living in Korea and using medical care. An effective support system for this population should be developed in order to help them successfully transition.

• Journal of Korean Academy of Nursing
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• v.34 no.5
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• pp.849-858
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• 2004

Purpose: Smoking temptation is the central concept related to relapse within the context of smoking. Therefore :or effective smoking cessation interventions, a scale to measure smoking temptation is necessary. This study was carried out to develop scale to measure smoking temptation. Method: This study utilized Cronbach's alpha, spilt-half coefficient and test-retest correlation in analyzing the reliability of the collected data and expert group, factor analysis, item analysis multitrait-multimethod method and known-group technique to analyze validity. Result: Twenty-five items were selected from a total of 33 items. The Cronbach's alpha coefficient for internal consistency was .93, spilt-half coefficient .91, and 2 week interval test-retest correlation .93 for the 25 items on the smoking temptation scale. Five factors evolved by factor analysis, which explained 57.28 % of the total variance. The smoking temptation scale was effective in differentiating the subjects at each stage of change for smoking cessation and there were significant negative correlations between smoking temptation and self efficacy for smoking cessation and significant positive correlations between smoking temptation and the Fagerstrom Tolerance Questionnaire. Conclusion: The scale for measuring smoking temptation in Korean in this study was evaluated as a tool with a high degree of reliability and validity.

• Interdisciplinary Bio Central
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• v.3 no.3
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• pp.11.1-11.5
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• 2011

The MRI (magnetic resonance imaging) volumetric analysis of the brain was performed in 59 healthy elderly Koreans (aged 62-76 years; 34 male, 25 female) to investigate whether the previously reported significant correlations between body height and brain volumes in the young aged Koreans (20's) still exist in the old aged Koreans (60's and 70's). Unlike previously reported significant correlations in the young aged Koreans, neither the correlation between whole brain volume and body height in male nor the correlation between cerebellar volume and body height in female show any significance in the old aged Koreans. The significant correlation between body height and whole brain volume was still observed when both male and female data were combined (r=0.27, P<0.05), but the correlation coef-ficient and the level of significance markedly decreased from those of previously reported Korean youth data (r=0.67, P<0.01). Simple linear regression analysis shows decrease of explanatory power of height (measured in $r^2$) from 44% in the youth group to 7% in the old age group on the variance of whole brain volume. Multiple linear regression analysis shows that age and sex, rather than height, are major explanatory variables for whole brain volume in the old aged Koreans. The loss of correlations in the aged group is suspected to be mainly due to age related brain volume changes.