• 지식경영연구
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• 제11권5호
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• pp.59-78
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• 2010

In this paper, we arrange the concept of 'Green' in SCM after literature study of Green SCM and investigate causal relationships between influencing factors, practice level and environmental performance focused on Korean firms empirically and conduct path analysis for hypothesis test using partial least squares regression with bootstrap. Firstly, we divide influencing factors of Green SCM into environmental and organizational factors through the previous studies of innovation diffusion theory and environmental management theory, and then we selected 'uncertainty', 'competitiveness' as the environmental factors and 'top management support', 'perceived benefit', 'training' as the organizational factors. Secondly, we classify practice level of Green SCM into 'internal environmental management', 'green purchasing', 'eco-design'. Finally, we selected 'financial performance', 'environmental performance' as the organizational performance. We conducted a survey on the middle manager of manufacturing companies implementing SCM and an empirical analysis. The results of analysis show that there exist causal relationships between influencing factors, practice level, and environmental performance of Green SCM. We expect that the result of this study will suggest useful information to managers who are responsible for SCM to design and execute Green SCM in strategic perspectives.

• 한국정보시스템학회지:정보시스템연구
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• 제21권1호
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• pp.173-203
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• 2012

In this paper, we arrange the concept of 'Green' in SCM after literature study of Green SCM and investigate causal relationships between influencing factors, practice level and environmental performance focused on Korean firms empirically and conduct path analysis for hypothesis test using partial least squares regression with bootstrap. Firstly, we divide influencing factors of Green SCM into environmental and organizational factors through the previous studies of innovation diffusion theory and environmental management theory, and then we selected 'uncertainty', 'competitiveness' as the environmental factors and 'top management support', 'perceived benefit', 'training' as the organizational factors. Secondly, we classify practice level of Green SCM into 'internal environmental management', 'green purchasing', 'eco-design'. Finally, we selected 'financial performance', 'environmental performance' as the organizational performance. We conducted a survey on the middle manager of manufacturing companies implementing SCM and an empirical analysis. The results of analysis show that there exist causal relationships between influencing factors, practice level, and environmental performance of Green SCM. We expect that the result of this study will suggest useful information to managers who are responsible for SCM to design and execute Green SCM in strategic perspectives.

• 농촌계획
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• 제28권1호
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• pp.89-98
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• 2022

This study was attempted to analyze the causal relationship on the factors influencing the inactivation of urban-rural exchanges. 33 previous studies related to urban-rural exchange in Korea were investigated, and 27 factors were derived in 4 sectors (resources and facilities, contents and programs, human resources and management, legal system and support) by deriving, rearranging, and classifying various influencing factors suggested in previous studies. Based on the derived influencing factors, an expert survey was conducted, and the causal relationship between factors was structured through the DEMATEL method. As a result of the analysis, 'human resources and management' was the factors with the highest prominence and 'legal system and support' was analyzed as factors with a very strong dispatcher character, and other factors were analyzed as having a receiver character. This study is meaningful in that it provided basic information for establishing related policies by structurally analyzing and presenting the necessary influencing factors when implementing an efficient urban-rural exchange project despite several limitations.

• 대한간호학회지
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• 제33권5호
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• pp.609-617
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• 2003

Purpose: The purpose of this study is to understand the depression of patients for Fibromyalgia Syndrome(FMS) and to identify the factors influencing depression. Method: The instruments used here are Beck Depression Inventory in depression, the Korean Rheumatology Health Association' instruments in Self-Efficacy. Also, Pain and Fatigue was measured by Visual Graphic Rating Scale. The subject of study is 76 outpatients diagnosing FMS from rheumatism specialists at C hospital in D city. The data has been collected from Sep. 1st to Sep. 30th in 2001. For the analysis of collected data, frequency analysis, independent t-test, analysis of variance, Pearson's correlation and multiple regression analysis were used for statistical analysis with SAS statistical program. Result: General characteristics showing statistically significant difference in depression were age, education, occupation, gender, exercise and sleep in the patients with FMS. Depression for the patients with FMS has negative correlation coefficients with Self-efficacy and ADL, and positive correlation coefficients with Pain and Fatigue. The suitable regression form resulting from the multiple regression analysis to investigate the influencing factors of depression for the partients with FMS was expressed by y =50.067 - 0.278x$_1$ + 1.320x$_2$ (x$_1$: Self-Efficacy x$_2$: Fatigue) and $R^2$ =0.427. Conclusion: The factors influencing on depression of patients for FMS was Self-Efficacy, ADL, Pain, and Fatigue. Further study needs to be done identify methods of overcoming and presentation of depression in FMS.

• 한국직업건강간호학회지
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• 제17권2호
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• pp.191-201
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• 2008

Purpose: The purpose of this study were to investigate the health status and to identify the influencing factors on health status by gender among service workers. Method: Data were collected from the self-reported survey of 781 service workers in sales, food & lodging industry. The data were analyzed by descriptive statistics and multiple linear regression analysis using SPSS Win 10.0. Result: The influencing factors of male workers' health status were job satisfaction, standing hour during work time, physical work environment, job demand and family support. The influencing factors of female workers' health status were job satisfaction, emotional labor, physical work environment, regular exercise, standing hour during work time, social support and age. Conclusion: Gender specific occupational Health program for service workers should be developed in consideration of these influencing factors.

• 공학교육연구
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• 제27권1호
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• pp.41-49
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• 2024

The purpose of this study is to explore ways to improve major satisfaction that can be applied by universities through the analysis of factors influencing major satisfaction of engineering college students. To this end, Korea-National Survey of Student Engagement(K-NSSE) data involving 814 students from T University were used, and logistic regression analysis and t-test were applied. The main results obtained through this are as follows. First, engineering college students' major satisfaction factors include major-career relevance, college immersion, and positive academic sentiment. Second, depending on the grade, it was confirmed that the factor of major-career relevance in the lower grades, and the factors of meaningful learning experience and college immersion in addition to major-career relevance in the upper grades had a significant influence. Third, the higher the meaningful learning experience, positive academic sentiment, and college immersion, including the major-career relevance, the higher the major satisfaction was found in the middle-class group with a score of BO or higher. This study is meaningful in that it revealed differences in influence by individual characteristics as well as major satisfaction influencing factors that can be practiced in universities such as learning experiences.

• 대한인간공학회지
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• 제20권2호
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• pp.1-28
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• 2001

This paper deals with the selection of the important Influencing Factors (IFs) under accident management situations in nuclear power plants for use in the assessment of human errors. In order to achieve this goal, we collected two types of IF taxonomies, one is the full set IF list mainly developed for human error analysis. and the other is the IFs for human reliability analysis (HRA) in probabilistic safety assessment (PSA). Five sets of IF taxonomy among the full set IF list and ten sets of IF taxonomy among HRA methodologies were collected in the study. From the review and analysis of BRA IFs, we could obtain some insights for the selection of HRA IFs. By considering the situational characteristics of the accident management domain, candidate IFs are chosen. Finally, those IFs are structured hierarchically to be appropriate for the use in the assessment of human error under accident management situation. Three nuclear accidents such as TMI. Chernobyl and JCO were analysed to validate the proposed taxonomy.

• International Journal of Contents
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• 제17권1호
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• pp.54-60
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• 2021

The aim of this study was to identify factors influencing problem drinking among the Echo Generation in South Korea and provide basic data for early intervention and mediation of problem drinking among the Echo Generation. This descriptive study performed a secondary analysis of raw data from the 2018 Korean National Health and Nutrition Examination Survey and used responses for problem drinking items from 999 Echo Generation participants born between 1979 and 1992. This study comprehensively investigated sociodemographic and health-related factors influencing problem drinking among the Echo Generation. SPSS WIN program (version 26.0) was used for data analysis. Gender (β=-.32, p<.001), education level (β=.10, p=.002), white-collar workers out of job (β=-.09, p=.041), and depression (β=.11, p<.001) were identified as factors that influenced problem drinking among the Echo Generation. Results of this study suggest that in order to prevent problem drinking among the Echo Generation, there should be user-customized prevention education and intervention programs.

• 산업기술연구
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• 제26권B호
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• pp.83-92
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• 2006

A probabilistic analysis model. one of reliability analysis methods introducing the concept of variables, was developed to investigate the uncertainty of dominant factors influencing the degree of consolidation in the radial consolidation theories. Based on the developed probabilistic analysis model, sensitivity study of those factors was performed to find their trends of affecting the degree of consolidation in the vertical drain method. Various radial consolidation theories, proposed by Barron(1948), Hansbo(1979), Yoshikuni(1979) and Onoue(1988), were used for this parametric study with the influencing factors such as size of smear zone, reduction ratio of permeability in the smear zone, discharge capacity, permeability for horizontal flow and coefficient of consolidation for horizontal flow. As results of this sensitivity study, for the given consolidation theory, contribution of each factor to the degree of consolidation was figure out and compared to each other. For the given value of each factor, the sensitivity to the degree of consolidation in the various theories was evaluated and their applicability and limitations were assessed.

• 보건의료산업학회지
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• 제5권1호
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• pp.101-110
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• 2011

This study was designed to identify organizational commitment and influencing factors in clinical nurses. A cross-sectional design was conducted with a sample of 322 clinical nurses randomly selected from university hospital in Korea. The tools used for this study were scales measuring organizational commitment(15 items), job satisfaction(41 items). The data were analyzed using SPSS 12.0 employing pearson correlation coefficients and multiple regression analysis. The mean score for organizational commitment in clinical nurses was 3.77 points. Factors influencing organizational commitment in clinical nurses were identified as job satisfaction(${\beta}$=.388), belief presence level(${\beta}$=.206). These factors explained 13.4% of organizational commitment reported by clinical nurses. The results indicate which factors are major factors influencing organizational commitment in clinical nurses. Therefore, these factors may serve as predictors of organizational commitment in clinical nurses.