• 대한가정학회지
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• 제34권5호
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• pp.183-196
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• 1996

The purposes of this study were to review the effects of textiles production on the environment, and to investigate the environmental consciousness and environmental preservation behavior of textile producers. This study was conducted by reference analysis and empirical research. To develope theoretical framework of dimensions of environmental behavior, references concerned were analyzed. And for empirical study, researcher developed a questionnaire based on the free writing by producers and references. The questionnaire included problems about environmental consciousness, environmental behavior, demographic variables, and environmental variables. 135 questionnaires were used for final data analysis. ANOVA and factor analysis were used. The results were as follows: First, the level of global environmental problem consciousness was relatively high. The conscious level of water pollution caused by the waste water from textile mills was the highest, and that of desertation of mountain caused by timber cutting was the lowest. The effects of textile dyers and finishers on the environment were the highest, and that of designers were the lowest. Second, the results of reference analysis showed that the dimensions of textile producers environmental behavior were resource and energy saving, solid waste reduction, and green product production. And the results of empirical study were resource and energy saving, resource reuse or recycling, solid waste reduction, and green product production, and total variances was 62.3%. The practice was the lowest. Third, global environment problem consciousness, environment problem consciousness caused by the textile life-cycle concerned, and clothing seperate-collection or not at residing place were effective on environmental behavior, and 52.45% of environmental behavior was explained with above variables.

• 대한예방한의학회지
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• 제12권3호
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• pp.157-173
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• 2008

The purpose of this study was to determine factors influencing the health satisfaction of the elderly. The study was conducted with 1,294 subjects during 3 months from 1st February to 30, April, 2008. The results were as follows. 1. The average score of their health satisfaction level is $2.76{\pm}1.81$ points on the basis of 5 point(54.2 points on the basis of 100 points). The health satisfaction level of the elderly was significantly associated with age, sex, marital status, monthly allowance, education level, occupation, the number of family members living together, family closeness, stress, and use of the social welfare centers. 2. As the variables affecting on the health satisfaction level, sex, age, marital status, monthly income, accupation, education level, the number of family members living together. stress levels. family closeness, ADL IADL and the use of the social welfare centers. were found, and the influence of these variables was 49.34%. The government, social service units, private health & medical organizations and experts need to pay more attention to factors influencing effective policy and health education programs for health promotion regarding the quality of life.

• 한국가정과학회지
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• 제9권4호
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• pp.5-14
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• 2006

The purpose of this study was to identify the effect of social support and self-efficacy on career decision level among female university students. Data was collected by questionnaires from 380 students at 3 universities in Jeonnam province and Gwangju city, Korea. The results were as follows. First, the average levels of social support, self-efficacy and career decision were over middle point(2.5point). The best of them was self-efficacy. Second, the lowest level of them by grade was commonly freshman female students. But there were no significant differences by major except for soczzzzzial support. Third, the effective sub-variables of social support which have influenced on career decision level were self-esteem support and evaluated support. Forth, the impactive sub-variables of self-efficacy which have influenced on career decision level showed general self-efficacy. Fifth, the significant sub-variables of social support which have influenced on self-efficacy were self-esteem support and material support. This study suggested that the high levels of self esteem social support and general self-efficacy led students to improve in career decision level. Here showed that the effect by grade or group on study was more clear than that by major.

• 품질경영학회지
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• 제49권4호
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• pp.527-537
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• 2021

Purpose: The purpose of this study was to suggest an improved version of Proof-of-Nonce (PoN) algorithm, which is a distributed consensus algorithm used for block chain system. Methods: First, we used response surface method for design of experiment that is to generate experimental points considering non-linear relationship among variables. Then, we employed overlapped contour plots for visualizing the impact of control variables to performance target. Results: First, we modified the consensus procedure of the existing PoN algorithm by diminishing the content of the exchanged message. Then, we verified the performance improvement of the new PoN algorithm by performing a numerical experiment and paired t-test. Finally, we established new regression models for consensus time and Transactions per second (TPS) and proposed a method for optimizing control variables for obtaining performance target. Conclusion: We could improve the performance of the previous version of PoN algorithm by modifying the content of the exchanged message during 4-steps of consensus procedure, which might be a stepping stone for designing an efficient and effective consensus algorithm for blockchain system with dynamic operation environment.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.111-122
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• 2021

The main purpose of the present research is to analyze the effects of trade, financial globalization, and technological progress on income inequality in the Indian economy over the period from 1982 to 2018. For this purpose, the study uses economic growth, financial globalization, trade openness, technological development, and economic inequality variables with appropriate proxies. The study employs the Auto Regressive Distributed Lag (ARDL) approach to co-integration and VECM based Granger causality approach to estimate both the short-run and long-run relationship and causality among variables. Using the ARDL bounds test, the study finds a long-run co-integrating relationship existing among the variables in the model. The study confirms the existence of a positive and significant impact of technological progress on income inequality. Further, globalization's limited impact reflects two offsetting tendencies; trade globalization is associated with a reduction in income inequality, while financial globalization is related to an increase in inequality. The results of VECM based Granger causality approach further confirm that technological progress, trade, and financial globalization causes income inequality both directly and indirectly through economic growth and inflation. In case of India, the results of this research can significantly facilitate stakeholders and policymakers in devising policies towards effective globalization and technological innovation for inclusive growth.

• 한국학교보건학회지
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• 제35권3호
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• pp.133-142
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• 2022

Purpose: The purpose of the study was to investigate the effect of the environment on adolescent binge drinking. Methods: The study was designed as a cross-sectional study. Using statistics from the 17th (20201) Korea Youth Risk Behavior Web-based Survey, the raw data target population was 2,629,588 people, and the sample group used for analysis as the final data was 54,848 people. A Rao-scott 𝑥² test and univariate multinomial logistic regression analysis were performed using IBM SPSS 27.0. Results: In the results of univariate logistic regression analysis and multivariate logistic regression analysis, common related variables were gender, school level, academic achievement, sleep satisfaction, current smoking, daily smoking, and alcohol education experience. Conclusion: As a result of confirming the factors influencing binge drinking in Korean adolescents, some variables that increase the possibility of problematic drinking behavior in the socio-environmental areas such as individuals, communities, and national policies were identified. For effective prevention and intervention, it is necessary to develop programs to build a healthy environmental support system with support from national policies, including individuals, peer groups, and communities.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.181-189
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• 2022

The purpose of this study is to verify study models and examine a causal relationship among authenticity, job satisfaction, organizational commitment, quality of life and job achievement for amateur business team player. In order to achieve the purpose, this study conducted structural equation model analysis for study models consisting of extraneous variables after examining the authenticity(organization, leader) that amateur business players perceive and endogenous variables including job satisfaction, organizational commitment, quality of life, and job performance. The object of questionnaires in this study selected sports business team players nationwide as a population and 348 players were chosen as final effective samples by applying a convenient sampling method for offline and online questionnaires. The research tool for this study is a questionnaire. The two dimensions of authenticity were used by developing a scale. For all endogenous variables, the scales used in previous studies were modified and used according to the purpose of the study. This study analyzed the collected data, applying SPSS Win ver. 23.0 and AMOS 20.0 programs in order to analyze the characteristics of the study objects, describe questionnaires, and verify selected study hypothesis, individual hypothesis was verified after identifying the reliability and validity of measurement model, and the fitness verification of study models. In the results, all of the 8 hypothesis were adopted and the reciprocal relationship among each factors in the study model were observed.

• 품질경영학회지
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• 제50권3호
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• pp.305-332
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• 2022

Purpose: As the public interest in entrepreneurship has been highlighted and entrepreneurship policies have been generated, this study is to construct Entrepreneurship Ecosystem (EE) models which have a significant relationship to national entrepreneurship with quantitative analysis. It aims to provide implications to EE policymakers that which national components are effective in cultivating innovative entrepreneurship and validate its EE quality based on quantitative performance goals. Methods: This study utilizes secondary data, categorized under the PESTLE factor from credible international organizations (WB, UNDP, GEM, GEDI, and OECD) to determine significant factors in the quality of the entrepreneurial ecosystem. This paper uses the Multiple Linear Regression (MLR) analysis to select the significant variables contributing to entrepreneurship performance. Using the AUC-ROC performance evaluation method for machine learning MLR results, this paper evaluates the performance of EE models so that it can allow approving EE quality by predicting potential performance. Results: Among nine hypothesis models, MLR analysis examines that the number of the Unicorn company, Unicorn companies' economic value, and entrepreneurship measured as GEI can be reasonable dependent variables to indicate the performance derived from EE quality. Rather than government policies and regulations, the social, finance, technology, and economic variables are significant factors of EE quality determining its performance. By having high Area Under Curve values under AUC-ROC analysis, accepted MLR models are regarded as having high prediction accuracy. Conclusion: Superior EE contributes to the outstanding Unicorn companies, and improvement in macro-environmental components can enhance EE quality.

• 한국전문물리치료학회지
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• 제29권3호
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• pp.200-207
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• 2022

Background: The oxygen uptake efficiency slope (OUES) is the most important index for accurately measuring cardiopulmonary function in patients with acute ischemic heart disease. However, the relationship between the OUES variables and important cardiopulmonary function parameters remain unelucidated for patients with acute ischemic heart disease, which accounts for the largest proportion of heart disease. Objects: The present cross sectional clinical study aimed to determine the multiple relationships among the cardiopulmonary function variables mentioned above in adults with acute ischemic heart disease. Methods: A convenience sample of 110 adult inpatients with ischemic heart disease (age: 57.4 ± 11.3 y; 95 males, 15 females) was enrolled at the hospital cardiac rehabilitation center. The correlation between the important cardiopulmonary function indicators including peak oxygen uptake (VO₂ peak), minute ventilation (VE)/carbon dioxide production (VCO₂) slope, heart rate recovery (HRR), and ejection fraction (EF) and OUES was confirmed. Results: This study showed that OUES was highly correlated with VO₂ peak, VE/VCO₂ slope, and HRR parameters. Conclusion: The OUES can be used as an accurate indicator for cardiopulmonary function. There are other factors that influence aerobic capacity besides EF, so there is no correlation with EF. Effective cardiopulmonary rehabilitation programs can be designed based on OUES during submaximal exercise in patients with acute ischemic heart disease.

• 한국환경과학회지
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• 제32권3호
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• pp.161-171
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• 2023

The present study evaluated growth factors affecting oak community plantations through literature review and a field survey. Specifically, 41 related literature sources were analyzed and field surveys were conducted to collect growth data. Previous studies were analyzed to identify variables with high frequency of use. The frequency of use was in the order of tree size > environment > planting density > forest age. Analysis of factors impacting height and diameter growth revealed that the growth rate of species other than Quercus variabilis was negative in the field survey. This may be because of differences between the actual trees planted and specifications in the construction drawings, which may be attributed to the site conditions and decisions made by the project subject during construction. Furthermore, simple linear regression analysis was conducted with time, height at planting, density, and species code as the independent variables and growth rate as the dependent variable. A strong positive linear correlation was noted between height and diameter. This work builds a foundation for developing a forest restoration model and simulation program based on a regression model derived from the four variables tested.