• Journal of the Korean Home Economics Association
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• v.40 no.2
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• pp.175-186
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• 2002

The purpose of this study was to examine the influences of goal-oriented value to the financial management and financial satisfaction of female college students. The samples were selected from 541 female collegians. Data analysed were carried out using SAS package. Statistics used for data analysis was Cronbach'$\alpha$ coefficient, multiple regression, Pearson correlation analysis, and path analysis. The results were summarized as follows : First, resulting from the multiple regression analysis, the goal-oriented value had positive effects to the financial management - planning, implementing, evaluating, and saving - of female collegians. And the goal-oriented value had not indirectly but directly positive effects to the financial satisfaction. Second, the variables that have significant influence on the financial satisfaction were the level of household income, goal-oriented value, implementing, and monthly personal allowance.

• Information Systems Review
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• v.5 no.1
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• pp.19-32
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• 2003

This paper develops a business model analysis framework and suggests a step-wise approach to the exploration of new business models. Three generic business model components, Value Change Model, Value Connection Model, and Value Complement Model, are identified based on their value propositions, and a composite of them, called Value Combination Model, is proposed. In order to integrate various value propositions from these business models, a business model analysis framework is also suggested. In order to test its real-world applicability, a case study is performed on the WLAN services and the effectiveness of the framework as a business model analysis tool is demonstrated.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.3
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• pp.99-111
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• 2016

In order to use cosmetics brands SNS effectively and establish strategy, the purpose of this study is to provide consumer date. According to cosmetics consumption value groups, this study examined each cosmetics consumption value group's level of concern of three cosmetics brands SNS features, informativity, enjoyment and interactivity. For the data, questionnaire was collected by 198 women, and the data were measured by ANOVA, factor analysis, cluster analysis and Ducan test. According to cluster analysis cosmetics consumption value groups were divided into four groups, unconcern group, hedonic value pursuit group, function of brand value pursuit group, high concern group. The results of the study are as follows: First, high concern group thought highly of all cosmetics brands SNS features, including informativity, enjoyment and interactivity. In addition all consumer groups were concerned informativity rather then enjoyment and interactivity. Second, comparing with high concern group, other groups which include unconcern group, hedonic value pursuit group and function of brand value pursuit group were not concerned about cosmetics brands SNS features' enjoyment and interactivity. Except informativity, hedonic value pursuit group and unconcern group were more concerned interactivity than enjoyment. While, high concern group and function of brand value pursuit group were more concerned enjoyment than interactivity.

• Journal of the Korean GEO-environmental Society
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• v.24 no.1
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• pp.5-14
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• 2023

In this study, the load transfer characteristics of the base and skin of drilled shafts were analyzed and the load sharing ratio was calculated by performing a load transfer large-scale model test and three-dimensional numerical analysis considering the similarity of drilled shafts, which is the design target. From the linear behavior of drilled shafts shown in the large-scale model test and 3D numerical analysis results, the skin load transition curve for the design conditions of this study was proposed by Baquelin et al., and the base load transition curve was proposed by Baquelin et al. For the horizontal load transition curve, the formula proposed by Reese et al. was confirmed to be appropriate. The test value was slightly larger than the numerical analysis value for the axial load at the rock socketing, but the load sharing ratio at the rock socketing increased, on average, about 27.8% as the vertical load increased. The analysis value of the vertical settlement of the pile head under the vertical load was evaluated to be slightly smaller than the test value, and the maximum vertical settlement of the pile head in the model test and analysis maximum vertical load was 10.6 mm in the test value and 10.0 mm in the analysis value, and the maximum vertical settlement value at the base of the pile was found to be a test value of 2.0 mm and an analysis value of 1.9 mm. The horizontal displacement at the head of the column (ground surface) and the head of the pile during the horizontal load was found to agree relatively well with the test value and the analysis value. As a result of the model soil test, the horizontal load measured at the maximum horizontal displacement of 38.0 mm was evaluated to be 24,713 kN, and the horizontal load in the numerical analysis was evaluated to be 26,073 kN.

• Journal of the Korean Statistical Society
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• v.25 no.1
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• pp.67-80
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• 1996

Factor analysis is a multivariate technique for describing the in-terrelationship among many variables in terms of a few underlying but unobservable random variables called factors. There are various approaches for this factor analysis. In particular, principal factor analysis is one of the most popular methods. This follows the mathematical algorithm of the principal component analysis based on the singular value decomposition. But it is known that the singular value decomposition is not resistant, i.e., it is very sensitive to small changes in the input data. In this article, using the resistant singular value decomposition of Choi and Huh (1994), we derive a resistant principal factor analysis relatively little influenced by notable observations.

• IE interfaces
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• v.10 no.3
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• pp.167-177
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• 1997

This paper deals with an application of process value analysis method for a manufacturing process in order to redesign facility layout in a paper company. We have used the value analysis method which permits an overall and rigorous study of process by a functional approach. Firstly, customer's expectations for the future process are clearly and precisely expressed with specifications of the Functional Extern Analysis. The existing process is analyzed using various tool of the Functional Internal Analysis in the second part. From the results of these analysis, we find out that the main problems of current facility are due to scheduling and facility layout. This paper is devoted to resolve the second problem. We suggest an ideal solution in order to have a reference solution. Nextly, We give realistic choices and the final solution for the facility layout.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.143-150
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• 2023

This paper aims to investigate the relationship between consumption value of sports products, upward consumption propensity, and post-purchase happiness among adolescents. The subjects of the study were extracted from adolescents in Chungcheong-do by convenience sampling method, and 257 people were used in the final analysis. Statistical methods were frequency analysis, correlation analysis, and regression analysis. The research results are as follows. First, social value and exploratory value, which are sub-factors of consumption value, were shown to have a significant effect on upward consumption propensity, but functional value and self-value were found to be statistically insignificant. Second, social value, self-value, and functional value, which are sub-factors of consumption value, had a significant effect on post-purchase happiness, but exploratory value was found to be statistically insignificant. Third, the upward comparison propensity was found to have a significant effect on post-purchase happiness.

• Fashion & Textile Research Journal
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• v.10 no.3
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• pp.316-321
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• 2008

The purpose of this study is to find what male consumers value in their clothing behaviors, as well as to investigate how the consumers' shopping values and store VM impact on their clothing purchase behaviors. For data collection, research questionnaires were responded by 202 male students living in Busan. The collected data were analyzed according to the frequency-factor analysis using SPSS for win 10.1 Package, the factor analysis using Varimax, reliability analysis, and multi-regression analysis. The results of this study are as follows; First, the shopping values were composed of hedonic, utilitarian, and economic value, and VM was divided into store facility, store image, layout, and fashion information. Second, multi-regression analysis was conducted to find the impact of consumers' shopping values on their clothing purchase behaviors. The result showed that the hedonic shopping value and utilitarian shopping value significantly affected the consumers' clothing purchase behaviors, while economics shopping value did not show any statistical significance. Third, multi-regression analysis was conducted to find the impact of store VM on consumers' clothing purchase behaviors. The result showed that store image, layout, and fashion information had a significant impact on consumers' clothing purchase behaviors.

• Journal of Climate Change Research
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• v.7 no.4
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• pp.513-520
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• 2016

Korea's energy consumption has been constantly increasing. Final energy consumption was increased by an annual average of 2.9% compared to 2010. The consumption of all energy sources except for its oil was increased during the same time. While electric demand has increased coal consumption increased rapidly. Therefore, calorfic value and carbon emission factor development can improve the quality of Korea's greenhouse gas inventory. Calorific value is the amount of heat generated while burning coal. Caloric value is one of the most important factors in the development of carbon emission factors. Calorific value is used as the basis for the analysis of the various energy statistics. This study has calculated the other bituminous coal and coking coal's calorfic value by the data received from domestic coal-fired power plants and steel manufacturer. Calorofic value's trend analysis period is the year of 2010~2014. Through analyzing the carbon content it was calculated the carbon emission factor. The bituminous coal and coking coal's uncertainty analysis was performed using a Monte Carlo simulation.

• Korean Journal of Human Ecology
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• v.17 no.4
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• pp.759-769
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• 2008

The purpose of this study was to classify consumption value and analyze the relationship between consumption value typology and fashion product purchasing behavior of college students as consumers. Data were gathered by surveying college students living in Daegu and Kyungbook area using convenient sampling, and 513 questionnaires were used in the statistical analysis. Data were analyzed by frequency, factor analysis, cluster analysis, ANOVA, Duncan-test, Chi-square, and t-test. The findings are as follows. According to the consumption value typologies of college students were classified into three groups such as Social Value oriented, Functional Value oriented, and Differentiated Individuality oriented group. The Social Value oriented group and the Differentiated Individuality oriented group were more conscious of clothing pursuit propensities behavior such as brand, shopping place, and price than Functional Value oriented group. The Functional Value oriented group showed the lowest interest in brand name. Purchasing behavior of casual wear and bags fashion product had the significant effects on the shopping place, and price.