• Journal of the Korean Society of Safety
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• v.36 no.3
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• pp.60-65
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• 2021

Human error is often in part in the cause of accidents and the result of various factors in an organization. Accidents should be investigated to elucidate all causes. Therefore, to reduce accidents, it is necessary to identify which factors affect human error within the organization. In this study, five groups of influencing factors on human error were selected using previousresearch, and operational definitions were made based on them. In addition, a questionnaire for measuring latent variables by operational definition was developed as an observation variable, and responses were received from employees of chemical companies in Ulsan. Based on SEM (structural equation modeling) analysis, 1) confirmatory factor analysis of variables in the human error model, 2) reliability and validity of latent variables, 3) correlations among latent variables, 4) influencing coefficients among influence factors, and 5) the verification results of the paths that these influencing factors have on human error are introduced in this study.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.1-8
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• 2023

The banking industry regulators have imposed on commercial banks to maintain a certain level of liquidity to ensure that they can meet their obligations to the depositors and third parties. This study examines the factors influencing liquidity creation among commercial banks in Uzbekistan. Specifically, this study examines three internal factors namely, risk assets, deposits, and inter-bank loans on the creation of liquidity in commercial banks of Uzbekistan. This study uses content analysis on financial reports of 33 commercial banks in Uzbekistan over 21 years. This study shows all the factors chosen in this study significantly influence liquidity creation among the commercial banks in Uzbekistan. While deposits and inter-bank loans significantly and positively influence liquidity creation, this study shows that risk assets significantly and negatively influence liquidity creation. Further analysis shows that these three factors contribute to a 92.4% variance in liquidity creation among commercial banks in Uzbekistan. The findings of this study provide valuable insights to the stakeholders in the banking industry on the factors influencing liquidity creation in banks. In addition, this study adds to the existing literature by providing insight into the internal factors' role in influencing liquidity creation in the context of an emerging economy.

• Journal of Information Technology Applications and Management
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• v.31 no.4
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• pp.33-45
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• 2024

In this study, we conducted a comparative study of Korea, China, and India on the influencing factors of internet shopping repurchase intention through SEM-ANN two-stage analysis, and analyzed changes in predictive performance and variable importance. As a result, through SEM analysis, it was confirmed that the factors influencing repurchase intention in internet shopping are different between Korea, China, and India. It has been proven that the R² of SEM is improved through ANN. And It has been proven that statistical-conclusion-validity was improved through which the size of the path coefficient in SEM remained similar to that of ANN's variable importance analysis.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.4_2
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• pp.961-972
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• 2024

As the global elderly population rapidly increases, the mental health of the elderly, particularly depression, has emerged as a significant social issue. This study analyzes the various factors influencing depression in the elderly based on the ICF model. Utilizing data from the Korea Welfare Panel Study, the study identifies the types of changes in depression among individuals aged 65 and older and examines the factors influencing these changes. This longitudinal secondary data analysis research uses the most recent three years of data (2021-2023) from the Korea Welfare Panel. The study sample consisted of 965 elderly individuals, and a latent class growth model was applied to identify the types of depression changes, while a multinomial logistic regression analysis was conducted to analyze the influencing factors. The analysis revealed that elderly depression could be categorized into four types: high-level decrease, high-level maintenance, low-level increase, and low-level maintenance. Main influencing factors included gender, age, education, poverty, social trust, social relationships, participation in economic activities, participation in religious activities, and health status. Particularly, social relationships and health status were significant factors affecting the types of depression changes. To mitigate depression in the elderly, a multifaceted approach considering both individual characteristics and social relationships and health status is required. The study suggests the development of community-based programs and trust-building activities at the community level to maintain and strengthen the social relationships of the elderly. These findings can serve as important foundational data for policies and practices aimed at improving the mental health of the elderly.

• The Journal of Economics, Marketing and Management
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• v.12 no.2
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• pp.51-60
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• 2024

Purpose: The purpose of this study was to analyze the factors influencing the housing satisfaction of the new middle-aged who returned to farming to derive the implications of real estate policies to resolve regional imbalances. Research design, data and methodology: As a result, this study used secondary data, housing survey data, and identified factors influencing housing satisfaction through multiple regression analysis as well as basic analysis such as exploratory factor analysis, reliability analysis, technical statistics analysis, and correlation analysis. Previous studies, in particular, mainly focused on aging, retirement, economic activity, and retirement preparation, but this study was able to derive predictive factors that can increase the persistence of living after returning to farming by analyzing housing satisfaction for the new middle-aged, and as a result, suggest implications for resolving regional imbalances. Results: As a result of the analysis, it was found that housing structure status had the greatest influence among the three factors of housing-related predictors: housing structure status, facility accessibility, and surrounding environment, suggesting that policy alternatives that can improve the quality of the housing structure itself should be prepared rather than facility accessibility and the surrounding environment. Conclusions: Based on these results, we discussed implications for improving the housing structure to increase the continuity of living for the new middle-aged after returning to farming, and presented follow-up research directions on the need for complementary research in addition to individual analysis of influencing factors, limitations of secondary data, and the lighting of research on the new middle-aged and other generations who did not return to farming.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.422-426
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• 2006

Productivity is one of the very important index that measures efficiency of production activities in industry, enterprises and the building industry as well. None the less, the concept of construction productivity is not so clear that productivity management in the building industry have been performed by experience or intuition, productivity related data have not been analyzed through effective productivity management, because structured definition and classification of factors influencing construction productivity did not exist so that it has not been known what information explain each of them. In order to solve this problem, at first construction productivity and factors influencing construction productivity are defined and classified into three groups; (1)Project factors influencing construction productivity (2)Management factors influencing construction productivity (3)Activity factors influencing construction productivity. To find out relation between construction productivity and factors influencing construction productivity, a questionnaire survey for construction managers in the building industry has been conducted.

• Knowledge Management Research
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• v.12 no.5
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• pp.71-87
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• 2011

This study focuses on influencing factors of TAM on personality, subjective norm and then examines the relationship between influencing factors such as KMS usage and system performance. The survey was collected from KMS users by e-mail and on-line questionnaire. Finally, 206 questionnaires were chosen for the analysis of data. It was analyzed by SPSS and AMOS for the frequency analysis, reliability analysis, CFA(Confirmatory Factor Analysis) and SEM(Structural Equation Modeling). The results were as follows. First, subjective norm is found to be especially important to KMS usage. Second, Extraversion positively moderated the relationship between subjective norm and perceived usefulness. Third, KMS usage is significant to personal performance such as knowledge growth, decision making and the ability of problem solving. This study proposed that the usage of Knowledge Management System positively contributes to the improvement of personal performance.

• International Journal of Contents
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• v.14 no.3
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• pp.53-60
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• 2018

Based on the previous studies on sinkholes and ground subsidence conducted until date, the factors affecting the occurrence of sinkholes can be divided into natural environmental factors and human environmental factors in accordance with the purpose of the study. Furthermore, to be more specific, the human environment can be classified into the artificial type and the social type. In this study, the assessment indices for assessing risks of sinkholes and ground subsidence were developed by performing AHP analysis based on the results of the study by Lee et al. (2016), who selected the risk factors for the occurrence of sinkholes by performing Delphi analysis targeting relevant experts. Analysis showed that the artificial environmental factors were of significance in affecting the occurrence of sinkholes. Explicitly, the underground factors were found to be of importance in the natural environment, and among them, the level of underground water turned out to be an imperative influencing factor. In the artificial environment, the underground and subterranean structures exhibited similar importance, and in the underground structures, the excessive use of the underground space was found to be an important influencing factor. In the subterranean ones, the level of water leakage and the erosion of the water supply and sewage piping system were the influential factors, and in the surface, compaction failure was observed as an imperative factor. In the social environment, the regional development, and above all, the groundwater overuse were found to be important factors. In the managemental and institutional environment, the improper construction management proved to be the most important influencing factor.

• Research in Community and Public Health Nursing
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• v.29 no.4
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• pp.510-519
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• 2018

Purpose: The purpose of this meta-analysis isto identify social psychological factors related to quality of life and estimate the effect sizes of the factors among patients with strokes. Methods: Thirteen studies with a total of 1,814 patients published from the earliest records to January 8, 2017 were selected through a systematic process of searching the literature, and evaluated against influencing factors of quality of life and their effect sizes. Pooled effect sizes were calculated using the random effect model. Meta-analysis was conducted by R software. Results: The following influencing factors had a strong association with quality of life with stroke: depression (r=-.50; 95% CI: -0.63~-0.46), activities of daily living (r=.46; 95% CI: 0.35~0.56), and social support (r=.40; 95% CI: 0.24~0.53). Conclusion: The findings confirm that depression, activities of daily living and social support are associated with quality of life among patients with stroke survivors. We recommend that any intervention program to improve the quality of life with stroke patients consider addressing these modifiable influencing factors.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.9 no.3
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• pp.501-512
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• 2002

Purpose: This study was done to identify factors that influence sexual permissiveness. A comprehensive analysis of individual, family, and social factors related to sexual permissiveness in adolescents was done. Method: A descriptive research design was used to explore causal relationships in sexual permissiveness between high school students. Result: The findings of this study are as follows. 1) For individual factors, self-respect. seeking social deviation and seeking internal experience were confirmed as factors influencing sexual permissiveness. 2) For the family factors, the mother-adolescent communication aspect was confirmed as a factor. 3) For the social environment factors. adaptability to school life was confirmed as a factor. Conclusion: On a theoretical basis, this study identifies factors influencing sexual permissiveness in adolescents, and thus contributes to the definition of a desirable sexual culture for young people. Therefore, it is suggested that programs be developed that control the corroborated factors and that further studies be conducted to validate the factors.