• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.33 no.2
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• pp.188-205
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• 2023

Objectives: Methanol poisoning accidents in smartphone parts manufacturing facilities were analyzed using a systemic accident analysis method, and the necessity and possibility of the application of this systemic method in the field of occupational health were reviewed. Methods: A STAMP model for accident analysis was created based on the previously published literature. CAST analysis was performed to find the causal factors of the components and between the components. Results: The STAMP model visually showed the abstract and complex system control structure. The CAST analysis results could include all the causal factors from the previously published literature, and presented them holistically. Additional causal factors that were not presented in the literature were found. Conclusions: The holistic accident analysis results in this study will be helpful to establish comprehensive measures to prevent methanol or other chemical poisoning accidents. Therefore, it will be necessary to use systemic accident analysis methods in the field of occupational health.

• Journal of Korean Academy of Nursing
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• v.21 no.1
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• pp.50-62
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• 1991

The purposes of this study were to identify causal factors of Anxiety and to analyze correlation between perceived family support and anxiety in hemiplegic patients. The subjects of this study were 88 hospitalized hemiplegic patients at Kyung - Hee Oriental medicine Hospital. Data were collected by using interview with questionaire from Jan. 15 to Mar, 31, 1990. The measurement tools used by this researcher were Kang's family support scale, Spielberger's trait anxiety scale and the other anxiety scale which was developed by this researcher, approved it's reliability and validity. For the purposes of the study, the collected data were analyzed by frequency, t-test, ANOVA and the hypothesis was tested by pearson correlation, partial correlation. The results of the study were as follow. 1) The analysis of causal factor of anxiety higher anxiety these three cases ; \circled1 1st causal factor was the delayed recovery of paralyzed upper limbs(2.42$\pm$1.27). \circled2 End causal factor was the dysfunction of physical ability(2.30$\pm$1.29). \circled3 3rd causal factor was difficulty for walking(2.30$\pm$0.83) and the anxiety level(2.02$\pm$0.83) of physical factor was the highest level than any other factors. 2) The hypothesis that the more perceived family support level is the less anxiety level of patient was supported(r＝-.29, p＝.003). 3) The analysis of the general characteristics exerting influences on anxiety level patients ; (sex, age, marrital status, religious, education level, occupation, economic status, experience of hospitalization, care giver, the period of hospitalizatiot side of paralysis). In this analysis, any factor has not a statistical significance.(p＞.05). 4) The analysis of the relationship about effective factors of family support level by the general characteristics of patient (sex, age, marrital status, religious, education level, occupation, economic status, experience of hospitalization, care giver, the period of hospitalization, side of paralysis). In this analysis, there was significant difference on perceived family support between married and bereaved patients(t＝-2.68, p＝ .009) As a result of this study, anxiety level of physical factor was higher than any other factors (psychological factor, social factor) and the delayed recovery of paralyzed upper limbs is the largest causal factor of anxiety of physical factor. Meanwhile, the relationship between the degree of family support and the level of anxiety was negatively correlated but the degree of relationship was low. Therefore, one can infer from this study that sufficient information about recovery of physical problems and family support were effective in preventing and reducing anxiety in hemiplegic patient.

• Korean System Dynamics Review
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• v.10 no.3
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• pp.47-79
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• 2009

The paper examines dynamic relationship among 'Limit to Growth' factors in Korea using causal loop diagram. It also aims to explore policy implications for Korea in overcoming current difficulties and future crisis we may face. For this purpose, five factors -economy, population, resource, environment, food- used in the were adopted as an analytical framework. Findings show that Korea is fragile to external shock such as world economic crisis, food price surge, and resource price -including energy price- hike. High dependency of energy, food and resource on foreign market was found to be a major source of limit to growth in Korea. Furthermore, environmental problems like global warming could be a major external shock that could hit Korea harder than the rest of the world. Policy implications and measures for these problems were discussed too.

• Asia pacific journal of information systems
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• v.11 no.2
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• pp.205-221
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• 2001

The previous BPR success factor research assumes that a success factor is responsible for both the success and failure of the BPR implementation. This paper proposes that a BPR success factor is not necessarily a failure factor, i.e., success and failure of BPR implementation are two distinct phenomena that possess different sets of causal factors. The paper also proposes that the factors are different in terms of the degree and type of influence they exert on the BPR implementation. An empirical research was conducted to validate the propositions. The research results indicate that the BPR success and failure have different causal factor sets, and that the factor influence manifests in different realms and domains. The implications of the research are discussed at the end.

• Journal of Korean Society of Rural Planning
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• v.28 no.1
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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.

• Journal of the Korean Institute of Landscape Architecture
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• v.23 no.4
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• pp.50-60
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• 1996

The purpose of this study is to investigate the prime factors that affect user satisfaction of area and facilities in urban forests, to classify those factors, to find out factorial structure of user satisfaction about them, and then to suggest important indicators in the urban forest planning, design, and development. The survey research was done using the self-administered questionnaire method by the people in the city of the Pusan who participated in recreational activities in the Mt. Keumjung. Factor analysis was used to extract the prime factors related to the recreational satisfaction concerning the area and facilities of the urban forest by the SPSS program, and then prime factors were used to investigate the factorial structure of user recreational satisfaction in the urban forest by the LInear Structure RELation program. According to the factor analysis concerning the 13 variables, 4 prime factors by the statistical values were considered as effective, indicating, 'health and recreational facilities', 'convenience and management facilities','facilities for the physical and psychological training' and 'historical and cultural areas'. The results of the causal structure analysis were identified as having significant effects mutually on endogenous variables, 'overall recreational satisfaction of the areas and facilities in the Mt. Keumjung','health and recreational facilities','convenience and management facilities','facilities for the psychological training', and 'historical and cultural areas'. But exogenous variables which have significant effects on endogenous variables were also indentified. Overall fits of both causal model were very good. The hypothetical causal structural equation models based on the results found partially significant correlation between dndogenous variables and between envogenous and exogenous variables. These significant relationships indiate important factors and variables that should be considered in planning, design, and development of the urban forests. Therefore, development direction of the Mt. Keumjung has to be analyzed as significant factors concerning user recreational satisfaction in a systematic was, recognized as important variables for planning process. The plan for development and management also should reflect the natural conservation policy from the environmental conservation movement like natural conservation advertisement and environmental education.

• Journal of Korea Port Economic Association
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• v.39 no.3
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• pp.155-178
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• 2023

The purpose of this study is to derive factors that affect the acceptance of digital transformation in ports and empirically analyze the impact of these factors on the acceptance of digital transformation through a survey of port workers. Additionally, we test whether acceptance attitude plays a mediating role in the relationship between these factors and digital transformation acceptance. The variables used in this study are as follows. First, knowledge, self-efficacy, and involvement were included as variables related to individual characteristics, relative advantages, complexity, observability were included as variables related to innovation characteristics, and government regulations and competitor pressure were included as variables relate to environmental characteristics, so that a total of eight latent variables were selected. The results of this study are summarized as follows. First, two variables among individual characteristics, self-efficacy and involvement, were able to confirm a positive(+) causal relationship with the attitude of accepting digital transformation, and knowledge initially expected a positive(+) causal relationship with the attitude of accepting digital transformation, but the result was a negative(-) causal relationship, so that the hypothesis was rejected. Second, among the characteristics of innovation, complexity has a negative(-) causal relationship with the attitude of accepting digital transformation, and relative advantages and technological innovation have a positive(+) causal relationship with the attitude of accepting digital transformation. Finally, among the environmental characteristics, government regulations and competitor pressure, confirmed a positive(+) causal relationship with the attitude of accepting digital transformation. In addition, it was found that the attitude of accepting digital transformation had a positive(+) causal relationship with personal acceptance and social acceptance of digital transformation.

• The Journal of Korean Academic Society of Nursing Education
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• v.14 no.2
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• pp.224-231
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• 2008

Purpose: The purpose of this study was to analyze the types of the causal perception of preterm labor. Method: The research design was a Q-Methodological Approach. Thirty four selected Q-statements from 32 participants were classified into a shape of normal distribution using a 9 point scale. The collected data was analyzed using a QUANL PC program. Result: Three types of causal perception for research subjects were identified. Type I is negligence of causality; Type II is recognition of causality by preceding factors. Type III is recognition of causality by psychological stress. Conclusion: This study found that there are differences in perceiving causes of preterm labor. Therefore, it is necessary to develop a tailored nursing intervention depending on these types.

• Knowledge Management Research
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• v.13 no.4
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• pp.55-69
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• 2012

This paper developed measurement indices for intellectual capital of public R&D organizations and investigated causal relationships among the components. We developed 10 measurement factors and 37 indicators and confirmed the reliability of these measurements. We offered an alternative to the existing model for searching causal relationships. From our survey research, using the structural equation model, we found a new relationship. In contrast to the existing model, we found a cycling relationship among three variables: human capital causes structural capital, structural capital causes relational capital, and relational capital causes human capital.

• Journal of the Korean Society of Safety
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• v.36 no.3
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• pp.50-59
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• 2021

The main purpose of accident analysis is to identify the causal factors and the mechanisms of those factors leading to the accident. However, current accident analysis techniques focus only on finding the factors related to the accident without providing more insightful results, such as structures or mechanisms. For this reason, preventive actions for safety management are concentrated on the elimination of causal factors rather than blocking the connection or chain of accident processes. This greatly reduces the effectiveness of safety management in practice. In the present study, a technique to model the correlational structure of accident risk factors is proposed by using the co-occurrence keyword network analysis technique. To investigate the effectiveness of the proposed technique, a case study involving a portable ladder fall accident is conducted. The results indicate that the proposed technique can construct the correlational structure model of the risk factors of a portable ladder fall accident. This proves the effectiveness of the proposed technique in modeling the correlational structure of accident risk factors.