• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.123-139
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• 2019

The Korean NPL market was formed by the government and foreign capital shortly after the 1997 IMF crisis. However, this market is short-lived, as the bad debt has started to increase after the global financial crisis in 2009 due to the real economic recession. NPL has become a major investment in the market in recent years when the domestic capital market's investment capital began to enter the NPL market in earnest. Although the domestic NPL market has received considerable attention due to the overheating of the NPL market in recent years, research on the NPL market has been abrupt since the history of capital market investment in the domestic NPL market is short. In addition, decision-making through more scientific and systematic analysis is required due to the decline in profitability and the price fluctuation due to the fluctuation of the real estate business. In this study, we propose a prediction model that can determine the achievement of the benchmark yield by using the NPL market related data in accordance with the market demand. In order to build the model, we used Korean NPL data from December 2013 to December 2017 for about 4 years. The total number of things data was 2291. As independent variables, only the variables related to the dependent variable were selected for the 11 variables that indicate the characteristics of the real estate. In order to select the variables, one to one t-test and logistic regression stepwise and decision tree were performed. Seven independent variables (purchase year, SPC (Special Purpose Company), municipality, appraisal value, purchase cost, OPB (Outstanding Principle Balance), HP (Holding Period)). The dependent variable is a bivariate variable that indicates whether the benchmark rate is reached. This is because the accuracy of the model predicting the binomial variables is higher than the model predicting the continuous variables, and the accuracy of these models is directly related to the effectiveness of the model. In addition, in the case of a special purpose company, whether or not to purchase the property is the main concern. Therefore, whether or not to achieve a certain level of return is enough to make a decision. For the dependent variable, we constructed and compared the predictive model by calculating the dependent variable by adjusting the numerical value to ascertain whether 12%, which is the standard rate of return used in the industry, is a meaningful reference value. As a result, it was found that the hit ratio average of the predictive model constructed using the dependent variable calculated by the 12% standard rate of return was the best at 64.60%. In order to propose an optimal prediction model based on the determined dependent variables and 7 independent variables, we construct a prediction model by applying the five methodologies of discriminant analysis, logistic regression analysis, decision tree, artificial neural network, and genetic algorithm linear model we tried to compare them. To do this, 10 sets of training data and testing data were extracted using 10 fold validation method. After building the model using this data, the hit ratio of each set was averaged and the performance was compared. As a result, the hit ratio average of prediction models constructed by using discriminant analysis, logistic regression model, decision tree, artificial neural network, and genetic algorithm linear model were 64.40%, 65.12%, 63.54%, 67.40%, and 60.51%, respectively. It was confirmed that the model using the artificial neural network is the best. Through this study, it is proved that it is effective to utilize 7 independent variables and artificial neural network prediction model in the future NPL market. The proposed model predicts that the 12% return of new things will be achieved beforehand, which will help the special purpose companies make investment decisions. Furthermore, we anticipate that the NPL market will be liquidated as the transaction proceeds at an appropriate price.

• Journal of The Korean Association For Science Education
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• v.22 no.5
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• pp.1010-1029
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• 2002

The purpose of this research was to survey middle school students' preference for science and its causal factors, so as to analyze the causal relationships between them. Preference for science and its causal factors were defined theoretically, and a theoretical model was constructed to measure them and analyze the causal relationship by structural equation modeling. According to the theoretical model and a pilot test, a questionnaire was developed with three parts; the background information of a respondent, the preference for science, and the causal factors of preference. The questionnaire was administered to one class per grade of randomly selected 8 middle schools from 4 areas across the country, and 819 students' data were collected. Preference for science was defined as a state of mind. It revealed to what extent, and how, one likes science. It consisted of 3 categories - 'emotional response', 'behavioral volition', 'valuational comprehension', and each category was divided into two subcategories. Causal factors affecting the preference for science consisted of three categories - personal, educational and social factors, and each was divided into 2 or 3 subcategories. Middle school students' preference for science was middling as a total. Curiosity about contents of science and valuation of science were high, comparatively, but behavioral volition about science was especially low. Students' responses to the causal factors were relatively high in every educational factor and sociocultural valuation of social factors, but relatively low in socioeconomic rewards of social factors, and especially low in personal factors. The causal relationship about the preference for science was investigated by multiple regression analysis and path analysis, using the structural equation model. Multiple regression analysis about the preference for science and its causal factors revealed important factors. The important factors were personal ability, the personal traits, rewards in school science, and contents of school science in order of magnitude of standardized regression coefficient ${\beta}$. Stepwise regression analysis with each of the subcategories of the preference for science as dependent variables showed what factors were important in each subcategory. According to the result of structural equation modeling, personal factors affected 'emotional response' and 'behavioral volition' directly, and social factors affected 'valuational comprehension' directly. Educational factors affected all categories of the preference for science by influencing not only 'emotional response' and 'valuational comprehension' directly, but also 'behavioral volition' indirectly. The way to promote middle school students' preference for science was suggested, based on the analysis result.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.178-185
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• 2018

The low birth rate in South Korea is a very serious problem. Recently, as personal happiness has emerged as an important life value of life, unmarried people have developed a negative tendency toward marriage. This study was conducted to investigate the attitude toward marriage, gender role and having children among college students, and to identify the factors affecting marriage. The participants were 383 unmarried nursing college students who live in D city. Data were collected from self-report questionnaires and analyzed using the t-test, one-way ANOVA, Pearson's correlation coefficients, and stepwise multiple regression using the SPSS 22.0 program. Gender was a significant variable influencing attitude toward marriage. Moreover, the attitude toward marriage was negatively correlated with gender role, and positively correlated with having children. Attitude toward gender role was negatively correlated with having children. Regression analysis of the factors affecting attitude toward marriage showed that gender (male), attitude toward gender role, and attitude toward having children were significant influencing factors. Moreover, this model explained 51.9% of variance in attitude toward marriage. Overall, it is necessary to change individual values to solve the problem of low birthrate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.589-598
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• 2016

The aim of this study was to investigate the relationship among the variables and the influence of academic self-efficacy and critical thinking disposition on the problem solving ability of nursing students. A descriptive research design was employed in this study. The participants were 404 sophomore nursing students in D city, who were surveyed between May 2 and May 20, 2016, using self-report questionnaire. The data were analyzed with SPSS WIN 21.0 using descriptive statistics, ANOVA, t-test, Scheffe test, Pearson's correlation coefficient, and multiple stepwise regression analysis. Significant correlations among the academic self-efficacy, critical thinking disposition, and problem solving ability were found. In academic self-efficacy and critical thinking disposition, there were significant differences in gender, academic credit, interpersonal relationship, and satisfaction with nursing as a major. The problem solving ability showed statistically significant differences in academic credit, interpersonal relationships, and satisfaction with nursing as a major. The regression model explained 51.7% of the effect on the problem solving ability. Academic self-efficacy and critical thinking disposition were factors influencing the problem solving ability of nursing students. Based on these results, to increase problem solving ability of nursing students, it will be necessary to develop an educational program and strategy for improving the academic self-efficacy and critical thinking disposition.

• Journal of Venture Innovation
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• v.4 no.1
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• pp.39-50
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• 2021

This was empirical research aimed at determining the effects of emotional labor, Resilience and service environment, on the performance of Long-term Care Hospital Employee. The participants were 180 employees working in long-term care hospitals in Gyeonggi-do. The collected data were analyzed using the SPSS statics19.0 program. The study were analyzed by frequency analysis and descriptive statistics, ANOVA, Scheffe? test, Pearson correlation coefficients, and stepwise regression. As a result of the study, age, marriage status, career, and position affected performance among the general characteristics.tion coefficients, and stepwise regression. As a result of the study, the average performance was 91.25 (±12.46) points, emotional labor was 41.25 (±4.21) points, Resilience was 52.89 (±6.37), and the service environment was 78.93(±15.3) points. The performance showed a positive correlation with emotional labor(r=.326, p<.001) service environment (r=.384, p=.005) and Resilience (r=.417, p<.001) of Long-term Care Hospital Employee. Service environment was the biggest factor affecting performance, and the second was resilience. The explanatory power of this regression model was 48.2% and was statistically significant (F=58.249, p<.001).

• Journal of Korean Academy of Nursing
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• v.15 no.1
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• pp.30-43
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• 1985

Liver cirrhosis is the common cause of death in Korea today. But, if liver cirrhosis Patients were treated in the early stage of the disease Process, they can have a chance to carry their daily lives with prescribed medical and nursing regimens. Each patient has different health beliefs that there is a different Sick Role Behavior in the process of treatment. In order to increase and control the desired patient's Sick Role Behavior, it is important for nurses to understand the health beliefs influencing Sick Role Behavior. The purpose of this study was to determine factors influencing Sick Role Behavior and provide objective and scientific data to health education, treatment and nursing care. The subjects for this study were 80 Liver Cirrhosis patients selected from in and out patients of the medical department of four University Hospitals in Seoul, Won Joo and Mok Po city. Data was collected from Sep. 18, to Oct. 15, 1984. The measurement tool was the questionaire that developed by the investigator from the literature review based on Health Belief Model. The data Collection was done by interview. Analysis of data was done by use Mean, S.D., ANOVA, Pearson Correlation Coefficient and Stepwise Multiple Regression. The result of study were as follows: 1. The significant influencing variables on the Liver Cirrhosis Patient's Sick Role Behavior in general characteristics were Sex, Marital Status, Educational levels, Family's income and Duration after diagnosis. 2. Between the Sick Role Behavior and Health Belief Model, a) The first hypothesis that the stronger degree of Health Motivation, the higher degree of Liver Cirrhosis Patient's Sick Hole Behavior was supported (r=0.7892, p=0.0000). b) The second hypothesis that the higher degree of perceived susceptibility, the higher degree of Liver Cirrhosis Patients' Sick Role Behavior was supported (r=0.6383, p=0.0000) c) The third hypothesis that the higher degree of perceived severity, the higher degree of Liver Cirrhosis Patients' Sick Role Behavior was supported (r=0.5869, p=0.0000). d) The fourth hypothesis that the higher degree of perceived benefit, the higher degree of Liver Cirrhosis patient's Sick Role Behavior was supported (r=0.7535, p=0.0000). e) The fifth hypothesis that the lower degree of perceived barrier, the higher degree of Liver Cirrhosis Patient's Sick Role Behavior was supported(r=-9.7709, p=0.0000) f) The sixth hypothesis that the higher degree of knowledge in Disease, the higher degree of Liver Cirrhosis patients'lck Role Behavior was supported (r=0.7538, p=0.0000), g) In the correlation among variables, it was found positive correlation except that perceived barrier was negatively correlated. In the Stepwise Multiple Regression and Independent Variables, the factor“Health Motivation”could account for Sick Role Behavior in 62.28% of the Sample (F=128. 786, p<0.01). When the factor“perceived barrier”is added to this, it account for 70.38% of Sick Role Behavior (F=93.479, p <0.01) and the factor“knowledge in disease”is also included, it account for 74.78% of Sick Role Behavior (F=75.131, p <0.01). Finally, when the factor“perceived susceptibility”is included, it account for 75.03% of Sick Role Behavior (F=56.329, p <0.01).

• Korean Journal of Soil Science and Fertilizer
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• v.50 no.2
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• pp.115-126
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• 2017

There is an increasing concern over arsenic (As) contamination in rice. This study was conducted to develope a prediction model for As uptake by rice based on the physico-chemical properties of soil. Soil and brown rice samples were collected from 46 sites in paddy fields near three different areas of closed mines and industrial complexes. Total As concentration, soil pH, Al oxide, available phosphorus (avail-P), organic matter (OM) content, and clay content in the soil samples were determined. Also, 1.0 N HCl, 1.0 M $NH_4NO_3$, 0.01 M $Ca(NO_3)_2$, and Mehlich 3 extractable-As in the soils were measured as phytoavailable As concentration in soil. Total As concentration in brown rice samples was also determined. Relationships among As concentrations in brown rice, total As concentrations in soils, and selected soil properties were as follows: As concentration in brown rice was negatively correlated with soil pH value, where as it was positively correlated with Al oxide concentration, avail-P concentration, and OM content in soil. In addition, the concentration of As in brown rice was statistically correlated only with 1.0 N HCl-extractable As in soil. Also, using multiple stepwise regression analysis, a modelling equation was created to predict As concentration in brown rice as affected by selected soil properties including soil As concentration. Prediction of As uptake by rice was delineated by the model [As in brown rice = 0.352 + $0.00109^*$ HCl extractable As in soil + $0.00002^*$ Al oxide + $0.0097^*$ OM + $0.00061^*$ avail-P - $0.0332^*$ soil pH] ($R=0.714^{***}$). The concentrations of As in brown rice estimated by the modelling equation were statistically acceptable because normalized mean error (NME) and normalized root mean square error (NRMSE) values were -0.055 and 0.2229, respectively, when compared with measured As concentration in the plant.

• Journal of Internet of Things and Convergence
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• v.7 no.3
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• pp.15-22
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• 2021

The purpose of this study is to identify the factors that influence the nursing students' nurse image and professional self-concept on career exploration. This study was accomplished on 153 students in the 2nd, 3rd and 4th grades of the Department of Nursing Science at a college in area Y, and data were collected from July 1 to August 31, 2020 using a structured questionnaire. Measurement tools consisted of nurse image, professional self-concept, and career exploration behavior. Data processing was performed using the SPSS 22.0 program where general characteristics were analyzed by t-test, ANONA and post examination tests by Scheffe's test, using mean score, standard deviation, Pearson's correlation, and stepwise multiple regression. Nursing students' nurse image, professional self-concept, and career exploration behavior were all found to have significant positive correlations, and the most influential variable was professional self-concept. As for the total explanatory power of these variables, model 2 showed 25% explanatory power, which was increased by 2% compared to model 1. Based on this result, it is necessary to develop education and a career exploration action program which can improve the nurse image and professional self-concept.

• Journal of Information Technology Applications and Management
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• v.18 no.2
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• pp.61-89
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• 2011

Blog is a new global phenomenon, but many research papers about organizational blog have not been shown. In this study the influencing factors of the organizational blog usage are empirically investigated, and several guidelines are suggested to IT professionals who involves the design and implementation of the organizational blog. The research model consists of seven independent variables, one dependent variable, and two moderating variables. The following variables are established as the independent variables; information, interface, service, communication, enjoy, performance expectation, and social influence. Two dimensions such as need and orientation are suggested for the moderating variables, and the actual usage is adopted as a dependent variable. As a result of multiple regression analysis using a stepwise method, the independent variables except for interface and communication affect the actual usage of organizational blogs. The moderating effects for need and orientation are partially supported. The implications of this study are as the followings; (1) The empirical factors affecting the usage of organizational blogs are empirically investigated, (2) The affecting factors vary according to the type of organizational blogs, and (3) Some guidelines are suggested for organizational blog's design.

• Journal of Families and Better Life
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• v.23 no.5 s.77
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• pp.15-26
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• 2005

The purpose of this study was to investigate the factors affecting credit card attitudes, financial management practices, and sound credit card use among college students, and to conceptualize a theoretical model. Earlier studies identified a number of antecedent variables (such as gender, year in college, job experience, amount of allowance, family income, living with parents, having taken a personal financial management course) and intervening variables (such as attitudes towards credit cards and financial management practices) as useful predictors of sound credit card practices. Four hundred and thirty four undergraduate students in Daejeon participated in this study. Stepwise multiple regression and path analysis were conducted. The results of this study were as follows: 1. Students' attitudes towards credit cards were affected by their you in college, whether they were living with their parents, and the amount of their allowance. Similarly, students' financial management practices were affected by their year in college, whether they were living with their parents, the amount of their allowance, and whether and not they had taken a personal financial management course. 2. Sound credit card practices were influenced by students' gender, their year in college, the amount of their allowance, attitudes towards credit cards, and financial management practices. 3. The path-analysis model demonstrates the relationships among the antecedent variables, intervening variables (credit card attitude, financial management practices), and sound credit card use.