• Korean Journal of Construction Engineering and Management
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• v.23 no.2
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• pp.76-84
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• 2022

Recently, as the frequency of natural disasters has increased, causing enormous human and material damage, the importance of managing disasters is emphasized. In particular, as the concept of Build Back Better becomes meaningful, it has appeared that considering it during Post-disaster Reconstruction is a necessity. Therefore, in this study, the relative importance evaluation and correlation analysis were performed for each influencing factor through the derivation of the influencing factors that should be considered during the reconstruction approach stage of reconstruction after disasters, and a survey of overseas disaster-related experts. As a result of the analysis, 'Adaptability to the environment changes in the future was derived as the most significant influencing factor. It seems that the results of this study can be used as basic data when carrying out the reconstruction project.

• Journal of Society of Preventive Korean Medicine
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• v.27 no.1
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• pp.17-27
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• 2023

Objectives : This study aimed to analyze the factors influencing Korean medical utilization among persons with unmet healthcare needs. Methods : This study utilized Korea Health Panel data in 2019, with 10,771. We performed a t-test and ANOVA on the difference in general characteristics between Korean medical utilization and unmet healthcare needs. Logistic regression analysis and generalized linear model analysis were conducted to analyze on factors affecting the Korean medical utilization by people with unmet healthcare needs. Results : Among people with unmet healthcare needs, the variables influencing Korean medical utilization were western medical utilization, gender, education level, musculoskeletal disease, and other chronic diseases. The more people with unmet healthcare needs, the more likely they were to use Korean medicine. As a result of logistic regression analysis, the influencing factors on Korean medical utilization were analyzed for people with unmet healthcare needs, and the higher the household income, the more musculoskeletal diseases, and the higher the probability of using Korean medicine. Conclusions : Korean medicine has a large proportion of musculoskeletal disease, so it was found that musculoskeletal diseases have an impact. In addition, considering that household income is an important factor in the influencing factor of unmet healthcare needs, it is necessary to increase the use of Korean medicine by those with low household incomes.

• Journal of Korea Water Resources Association
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• v.49 no.5
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• pp.399-410
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• 2016

In case of the application of Hazen-Williams C for design, operation or maintenance of water supply system, field situations always should be reflected on the factors. In this study, the relationships between C factors and influencing factors are analyzed using statistical techniques with 174 measured C factor data collected in periodic inspection for safety diagnosis in multi-regional water supply systems. To analyze their relationships, cross analysis, one-way ANOVA, correlation analysis were conducted. Analysis results showed that C factors had high correlations with both of elapsed year and pipe diameter and were relatively highly affected by coating material among influencing factors with the categorical type. On the other hand, elapsed year, pipe diameter and water type were meaningful influencing factors according to the results of multiple regression analysis. The Cluster analysis revealed that C factors had a tendency of being fundamentally classified on the basis of the elapsed year of about 20 years and the pipe diameter of 1500mm. Although C factors were generally greatly affected by elapsed year, size of pipe diameter relatively had an large influence on values of them in case of large diameter pipes. Lastly, It can be suggested that C factor estimation formulas using multiple regression analysis and clustering analysis in this study, can be applied as decision standards of C factor in multi-regional water supply systems.

• Research in Community and Public Health Nursing
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• v.26 no.4
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• pp.342-354
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• 2015

Purpose: The purpose of this study was to examine social capital and health-related quality of life (HRQoL) of residents who were living in the three regions(Masan, Jinhae, and Changwon) of integrated Changwon and to analyze the effect of social capital on HRQoL. Methods: This study used the Masan, Jinhae and Changwon data of the 2013 Community Health Survey. The social capital questionnaire consisted of three subdomains (trust, participation, and network). HRQoL was measured with the Korean-version EQ-5D. The effect of social capital on HRQoL was analyzed using multiple regression with controlling for general characteristics and health behavior. Results: The trust level of Masan citizen was highest among the three regions. Jinhae citizen showed the highest level of participation and network out of the three regions. Trust was not a significant influencing factor in any of the three models. Participation was a significant influencing factor in all of the three models. Network was a significant influencing factor only in the Masan model. Conclusion: Participation was the most important factor for health among the three social capital subdomains. Strategies for encouraging social participation are needed for health promotion for the residents of integrated Changwon.

• Journal of Korean Academy of Nursing
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• v.28 no.2
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• pp.510-518
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• 1998

It was assumed that the maternal identity in primi-gravida is one of the most attribute of the motherhood, that is not biological but cognitive phenomena, appears active process as intelligent human being. The purposes of this study were that the identification the cognitive structure and the influencing factors of the maternal identity in primi-gravida. Theoretical framework in this study, maternal identity in primi-gravida was constructed as a cognitive output, has the cognitive structure of cognitive-perceptual factor, cognitive-behavioral factor, and cognitive-emotional factor. Influencing factors of maternal identity was constructed as a cognitive input, which were pregnancy related perceptions (pregnancy intention, minor discomfort, value of motherhood), interpersonal relationship(relationship with mother, relationship with husband, relationship with social network), preparation to motherhood(maternal knowledge, antenatal self care), and biological factor (gestation period). This study was the descriptive correlational research design, was done from the 3rd January to the 15th March 1996, and the research subjects were selected conviniently 226 the primi-gravida during the gestation period, data collection method was self reported questionnaire cross-sectionally. Descriptive data analysis was done by SAS PC$^{+}$, testing the hypothetical model was done by covariance structural analysis using LISREL 8.03 program. The result of the hypothesis testing, the value of motherhood(y=.650, T=4.26) the maternal knowledge (y=.137, T=2.030), the gestation period( y=.113, T=2.621), showed significant causal effect on the maternal identity in primi-gravida. In conclusion, the maternal identity in primi-gravida had interrelated cognitive structure consist of perceptual, behavioral, and emotional factors. Significant causal factors influencing the maternal identity were value identified. It seems to contribute toward the understanding the characteristics of the maternal identity as a cognitive domains that has been regarded highly abstract concept, so has not been validated empirically.y.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.191-198
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• 2018

Technology transferors and technology transferees decide to transfer technology with various motivations as they share benefits and risks. On top of economic benefit factors and risk factors provided by technology transferees, technology transferors also make technology transfer decisions by taking into account various factors such as government policies and systems, as well as their management strategies. In this study, the factors influencing the technology transfer in the chemical industry and the influence on the technology transfer intention are analysed. As a result of this study, factors influencing technology transfer are economic benefit factor, technological factor, risk factor, and socio-cultural factor. A significant differences in the influencing factors between the technology transferors and the technology transferees are that the economic benefit factors are more considered by the technology transferees and the technological factors are more considered by technology transferors in technology transfer. Technology transferees shows the stronger intention to enter technology transfer than the technology transferors.

• Journal of Korean society of Dental Hygiene
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• v.20 no.6
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• pp.937-947
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• 2020

Objectives: This study was conducted to investigate the factors that prevent dental patients from visiting the dental clinic. Methods: From June 22, 2020 to July 17, 2020, among patients 10 years or older who had visited the dental clinic, 314 individuals who agreed to the study were asked to fill out a self-administered questionnaire. The data were analyzed using the SPSS Statistics 22.0 program, and the significance level was set at 0.05. Results: The dental avoidance factors according to the general characteristics were high in women and housewives, and among the dental-related characteristics, the most common reason for visiting the dental clinic was experiencing pain. The factors influencing anxiety were fear, environment, stimulus, age, and exercise, and the factors influencing the fear were anxiety, stimulus, subjective oral health status, education, and exercise. The factors influencing the stimulus were environmental factors, fear, anxiety, and age, and the factors that influenced environmental factors were stimulus and anxiety. Conclusions: There is a need to develop measures and policies to overcome fear of dental procedures, such as developing a dental experience program and allowing patients to experience dental fear and anxiety in advance.

• Korean Journal of Agricultural Science
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• v.32 no.2
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• pp.151-167
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• 2005

In this study, certain factors influencing cherry tomato were estimated using system equations. In addition, the amount of influence to income from each factor was estimated from both direct and indirect effects. Based on OLS(Ordinary Least Squares) estimation, path analysis and factor analysis were employed to overcome multicollinearity problems. Data used in this study is interviewed cross sectional data of 65 cherry tomato producing farm in Chungnam-do area. Average age of the producers is 46.5. Average year of the production is 8 years. Average farm size, productivity, and income are 1,123 pyong, 7,439kg/10a, 8,112,000won/10a, respectively. The business performance of the sample farms were above average, in terms of the diagnosis by "Standard Business Diagnosis for Cherry tomato". To identify the factors influencing productivity, 15, 19, and 25 independent variables were selected for the dependent variables of yield, price(quality), and business cost, respectively. Finally, yield, quality, and business cost variables were set as independent variables to explain income as dependent variable. As a result of main factor analysis, 10, 12, 15, and 16 factors were identified as main factors for yield, quality, business cost, and income, respectively.

• KIEAE Journal
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• v.6 no.4
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• pp.3-10
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• 2006

To preserve scenic-view of Gwanak Mountain from the urban development, the viewshed component ratio and the scenic-view preference are investigated and analyzed by selecting view points at Nangokro. After 16 candidate view points are selected from the site, sight component ratio is measured through visual structure analysis and preference are measured by using the Likert scale. In addition, factor analysis, and regression analysis were conducted to examine the relationship between influencing factors and preference. As a result of the regression analysis of the 9 factors to influence the scenic-view preference, two factors such as degree of natural landscape and degree of arrangement around the site are chosen to influence the scenic-view preference. Through the preference factor analysis, two preference factors are selected as follows; 1) The factor of the landscape formation - Existence and nonexistence of the scenic-view conservation, degree of the landscape opening, and degree of natural landscape, degree of the landscape originality, and degree of the landscape sequence, degree of the landscape intimacy 2) The factor surrounding the landscape - Degree of arrangement around the site, degree of the landscape complexity, and atmosphere around the site.

• Culinary science and hospitality research
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• v.14 no.3
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• pp.123-135
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• 2008

The purpose of this study is to investigate the priority order in the factors influencing college choice of students who are majoring in culinary art in Chungcheong-do. For the study, we set the decision-making factors of upper hierarchies and nineteen bottom hierarchies based on the literature review and employed the analytical hierarchical process(AHP). As a result, the first considering factor among 4 upper hierarchies for college choice was the educational environments of the department(0.378). The next came in the order named as follows: college and university grade(0.263), the educational environments of colleges or universities(0.244), recommendation(0.115). The first considering factor among the educational environments of the department was the aptitude for the major(0.323). The first considering factor in college and university grade was the entrance competitive rate(0.397). The first considering factors among the educational environments of the colleges or universities were scholarships and tuition fees(0.325). The first considering factor in recommendation was the recommendation of a high school teacher(0.295). This results of this study will contribute to the development of colleges and universities under the turbulent changes of educational environments.