• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.51
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• pp.199-210
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• 1999

The number of car accident is Recently on the increase in Korea because of the explosive increase of cars, the poor road condition, the lack of safety facility, and others. The insurant with a accident has to decide whether receiving a insurance or not. In this paper, we represent a reasonable decision support material by calculating the approximate insurance fee based on the discount rate and premium additive rate, which is changed by the accident type and the accident expenditure. Practically, there is difference in the standard insurance rate and premium additive rate according to the accident type and the accident expenditure in Korea. The premium additive rate is assessed considering the number of accident, the pattern of accident, and the reason of accident for 3 years. In this paper, we represent a decision making method considering not only the first-time car accident but also the future car accident. For considering the repeated accident, we analyzed the real data accumulated until the year of 1996 from S Insurance Company, and estimated the probability density function between the first and the second-time accident, and executed the goodness of fit test using ARENA and STATISTICA software. Using this conditional PDF, we can calculate the insurance fee next 3 years and compare the insurance fee with the equivalent present value of cash flows. The program performing this analysis is represented, and written in VISUAL BASIC Language. We tried to suggest an accurate guideline for the insurant to decide the insurance coverage rationally, and tried to correct a wrong idea of dependence on the car insurance only by the amount of the accident expenditure. And we expect this study can generally be applied to many different accident types under the uncertain circumstances in our daily life.

• The Research Journal of the Costume Culture
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• v.18 no.5
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• pp.892-907
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• 2010

The purpose of this study was to compare torso pattern made by draping and flat pattern method in terms of the size of breast. The size of this study was classified as 75A and 75D according to the size of breast. Each torso pattern by the combination of the size and pattern method was compared and analyzed. In order to test the fit of the draping and flat pattern that was developed according to the size of breast, the outer appearance was evaluated. The results of the study were as follows: First, The most striking size difference was difference between the front and the back on bust line level, which decides on position of the side seam in comparison of size between draping and flat pattern of 75A and 75D. In the flat pattern, the difference between the front and the back in the size of breast was consistent regardless of a change in the size of breast. However, in the draping, the bigger breast led to the bigger difference between the front and the back on bustline level. Second, the flat pattern in 75D was evaluated to be the worst in 27 items among total 46 items for the evaluation of outer appearance in the draping and flat pattern of 75A and 75D. Third, regardless of size, the draping was evaluated to be more suitable in the areas related to neck, arm hole, and waist dart than the flat pattern. These results are suggesting that the draping is a method of reflecting characteristic of the body type more accurately than the flat pattern, and that the draping is a more suitable method than the flat pattern for the design of clothing pattern of the body type with big breast like 75D.

• Journal of Digital Contents Society
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• v.16 no.6
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• pp.883-892
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• 2015

This paper was conducted to improve existing festival apps that present information in a one-dimensional and unengaging manner by analyzing the factors for festival quality factor from satisfaction evaluation items in culture and tourism festival evaluation reports as well as international and domestic studies. An exploratory factor analysis generated a KMO value of 0.821. After eliminating factors with factor loadings lower than the standard value, the factors of accessibility, promotion and information, contents of events, festival products, food, and amenities were extracted. Reliability was gauged using Cronbach's ${\alpha}$(Alpha), which was calculated to be 0.816. In the confirmatory factor analysis, the p value in the chi-square test was 0.289 while CMIN/DF was 1.100. The fit indices of GFI, AGFI, CFI, NFI, and IFI were all higher than the 0.9 mark while RMSEA was 0.018.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.4
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• pp.183-198
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• 2011

With the recent development of IT technology, the existing contents have been digitalized through various distribution channels. Accordingly, a lot of studies have been done in order to figure out the distribution and features of digital contents, In these studies, however, categorical characteristics of digital contents were not considered ; most of the previous researchers saw digital contents as only a single item or focused on some contents within particular part such as movie, music, etc. So, this study divides digital contents into movies, music and texts. I was going to study which factors affect Customer Satisfaction in relation with the kind of contents. With SERVQUAL as independent variables, which affect the Customer satisfaction, I used five factors :Design Quality, Information Quality, Security Quality, Communication Quality and Transaction Quality. As for the detailed items, I corrected them with Open-End Question and Pre Survey Research, which are more fit into the features of digital contents. This research conducted Principle Component Analysis, Reliability Test, Correlation Analysis and Regression Analysis. I verified that each factor of Service Qualities has a positive effect on Customer Satisfaction. Moreover, the factors of the effect are different according to the kind of digital contents. This paper was added Exploratory Study to find the best distribute channel. For the study, I search the possible distribute channel in each digital contents and their characteristic.

• The Journal of Korean Medicine
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• v.26 no.1 s.61
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• pp.187-194
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• 2005

Objective: Two Korea-mode sport beverages with medicinal herbs added, Saeng Mac San (SMS) and Je Ho Tang (JHT), were developed by the Ginseng Research Group of the Korea Food Research Institute. For their practical usage, we examined their taste tests at rest including sense-analysis (S-A) and preference-inquiry (P-I). Methods: Five beverage-treatments, SMS, JHT and three commercial sport beverages (CSBs) and a control (CON) were offered randomly. Eighty-two subjects under stable control of their taste sense filled out the questionnaires for their S-A and p-I, which were developed by the Exercise Physiology Laboratory of Kyungpook National University. The collected data $(means{\pm}SD)$ were analyzed by repeated measures one-way ANOVA; Tukey' s test was administrated for identification of statistically significant differences (p<0.05). Results: Overall beverage likeability values of SMS and JHT were significantly lower than those of CSBs, JHT lower than CON. Overall flavor values of SMS and JHT were significantly lower than those of CSBs and CON. SMS was similar to CON in the amount of flavor. SMS and JHT were less tart than CSBs and the former was significantly lower than CSBs and CON in four drinkability-related items. Conclusion : SMS rated less than CSBs in tartness and the amount of flavor. JHT was avoided most. Thus, the results indicate that JHT is not fit as a sport beverdge and the overall likeability of SMS must be elevated by way of strengthening its tartness and amount of flavor for practical usage.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.353-364
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• 2010

The purpose of this study is to examine the effect of leader-member exchange(LMX) on employee's affective commitment and continuance commitment focusing on the mediating role of job stress. On the basis of theoretical linkages between the constructs, a conceptual model and hypotheses were established. The sample included 482 employees. Structural equation modeling(SEM) was employed to test the hypothesized relationships in the conceptual model. This study shows that the proposed model is reasonably fit to the actual data. Empirical results indicate that LMX has a negative impact on employee's job stress, has a positive impact on employees' affective commitment and continuance commitment. Employees' job stress has partially mediated effect on the relationship between LMX and employees' affective commitment, but has not mediated effect on the relationship between LMX and employees' continuance commitment.

• The Journal of Fisheries Business Administration
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• v.46 no.3
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• pp.103-118
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• 2015

The purpose of this paper is to discuss possibilities of applying growth curve models, such as Logistic, Log-Logistic, Log-Normal, Gompertz and Weibull, to three specific technology areas of Fishery Science and Technology in the process of measuring their technology level between Korea and countries with the state-of-the art level. Technology areas of hazard control of organism, environment restoration, and fish cluster detect were selected for this study. Expert panel survey was conducted to construct relevant panel data for years of 2013, 2016, and a future time of approaching the theoretical maximum technology level. The size of data was 70, 70 and 40 respectively. First finding is that estimation of shape and location parameters of each model was statistically significant, and lack-of-fit test using estimated parameters was statistically rejected for each model, meaning all models were good enough to apply for measuring technology levels. Second, three models other than Pearl and Gompertz seemed very appropriate to apply despite the fact that previous case studies have used only Gompertz and Pearl. This study suggests that Weibull model would be a very valid candidate for the purpose. Third, fish cluster detect technology level is relatively higher for both Korea and a country with the state-of-the-art among three areas as of 2013. However, all three areas seem to be approaching their limits(highest technology level point) until 2020 for countries with the state-of-the-art. This implies that Korea might have to speed up her research activities in order to catch up them prior to 2020. Final suggestion is that future study may better apply various and more appropriate models respectively considering each technology characteristics and other factors.

• Spatial Information Research
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• v.23 no.5
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• pp.65-73
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• 2015

Newtown Business of Seoul had been performed to reduce deterioration of Gangbuk and economic inequality between Gangnam and Gangbuk. According to this, Eunpyeong-gu was set as test-bed for Newtown business and Newtown business had been completed until 2013. This study aims to analyze the influence of social and economical factors which affect land price using GWR (Geographically Weighted Regression) considered spatial effect. As a result of analysis, GWR model demonstrated a better goodness-of-fit than OLS (Ordinary least square) model typically used in most study. Furthermore, AIC value and Moran's I of residual prove that GWR model is more suitable than OLS model. GWR model enable to explain more detailed than global regression model as coefficient and sign show different value locally. In future, this research will be helpful to develop Eunpyeong-gu considering spatial characters and strength effectiveness of development.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.171-182
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• 2017

Most people seek a happy life and happiness positively affects sentiment, satisfaction with life, creativity, human relationship, business productivity, and even health and life extension. However, according to a survey in 2013, subjective happiness of adolescents (including university students) was very low compared to other age groups in Korea. Therefore this paper examined the effects of job-seeking stress, appearance recognition, financial situation, trust in government, and locus of control on university students' happiness using SEM (structural equation modeling). 207 university students in Seoul, Korea have been surveyed. At first, an initial experimental SEM model among these variables has been set up and reliability analysis has been conducted. Then multiple regression analyses on job-seeking stress and happiness as well as SEM analysis have been conducted. As a result of these analyses, the SEM model has been revised two times. The final SEM model passed the goodness-of-fit test (using RMR, GFI, NFI, CFI, and IFI indices). The final SEM model showed the followings. First, Higher job-seeking stress (especially sentimental part, rather than environment or action related parts) negatively affects happiness. Second, Trust in government also affects happiness both directly and indirectly. Third, Locus of control is affected both by trust in government and financial situation. Fourth, appearance recognition heavily affects job-seeking stress. In addition, appearance importance is higher than appearance interest, meaning that students who are not very interested in appearance usually recognize the importance of appearance. Finally, happiness is affected neither financial situation nor appearance recognition. Therefore, even either they are in a poor financial situation or not happy with their appearance, they can be happy if they have firm locus of control.

• Journal of Korean Academy of Nursing
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• v.46 no.1
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• pp.118-127
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• 2016

Purpose: The study purposes were to construct and test structural equation modeling on the causal relationship of community residents' perceived quality of care, image, and role performance with satisfaction, intention to (re)visit and intention to recommend hospital. Methods: A cross-sectional survey was conducted with 3,900 community residents from 39 district public hospitals. The questionnaire was designed to collected information on personal characteristics and community awareness of public hospitals. Community awareness consisted of 6 factors and 18 items. The data were collected utilizing call-interview by a survey company. Research data were collected via questionnaires and analyzed using SPSS version 20.0 and AMOS version 20.0. Results: Model fit indices for the hypothetical model were suitable for the recommended level: ${\chi}^2=796.40$ (df=79, p<.001), GFI=.93, AGFI=.90, RMSR=.08, NFI=.94. Quality of care, image, and role performance explained 68.1% of variance in community awareness. Total effect of quality of care process factors on satisfaction (path coefficients=3.67), intention to (re)visit (path coefficients=2.67) and intention to recommend hospital (coefficients=2.45) were higher than other factors. Conclusion: Findings show that public hospitals have to make an effort to improve community image through the provision of quality care, and excellent role performance. Support for these activities is available from both Central and Local Governments.