• 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.

• Asia pacific journal of information systems
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• v.11 no.3
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• pp.105-126
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• 2001

The objective of research is to find out exogenous variables that influence the usage and performance EDI in the Korea firms. Specifically the goals of this research are; (1) to examine relationships between exogenous variables, such as management, technology, inter-firm relationship characteristics, and EDI performance, and (2) to measure EDI volume, EDI diversity, EDI depth among Korea firms. The questionnaire consists of two versions; One for the EDI system managers and the other for the EDI users. The analysis of this study is designed as cross level to examine the causal relationship among variables in different analysis level. The reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that education level, IS growth, trust, support, power are major influential variables on the usage level and performance of EDI. Especially, persuasive power turned out to be more important than coercive power, and technical financial support from organizations was also found to be a significant variables.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2006.05a
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• pp.294-299
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• 2006

한국에서는 석유화학 산업의 역사가 30년 이상이 되어 잠재적인 사고의 위험 가능성이 높아지고 있다. 지금까지의 석유화학 산업에서의 전통적인 위험성 평가와 시스템의 제어는 기계적인 결함에만 중점을 두었기 때문에 인간의 행동을 제어하는 것은 간과하여 왔다. 비록 자동화 기술가 제어기술의 발전이 필요함에도 불구하고 인간의 의사 결정 요소는 석유화학 산업에서 사고를 예방하는데 필수적이다. 대부분의 심각한 사고는 부적절한 인간의 행동과 안정장치의 기계적인 결함이 동시에 존재할 경우에 발생한다. A-HRA(Advanced Reliability Analyzer) 소프트 웨어는 석유화학 플랜트 내에서의 인적오류 확률을 분석하고 사고 데이터를 축적하기 위하여 개발되었다. A-HRA 프로그램을 이용하여 1960년대 이후부터 최근 까지 한국의 석유화학 산업에서 발생하여온 인적오류 사고 데이터를 입력하고 사고마다의 근본원인과 수행영향인자를 분석하였다. 이 본문에서는 Root cause Aanlysis을 통한 결과와 PIF(Performance Influencing Factor) 평가 결과를 보여준다. 이 분석 결과는 석유화학 산업의 안전을 극대화 시키면서도 인적오류 제어를 통하여 안전비용을 최저화 시킬 수 있는 대책을 제시할 것이다.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.75-83
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• 2009

The primary purpose of this study was to investigate business performance in small apparel retailer's stores operated independently. Data were collected from 167 managers independently operating small apparel stores in Busan and Ulsan. The aforementioned were analyzed utilizing frequency, factor analysis, ANOVA, regression analysis using SPSS Win 12.0. The results showed as follows; Factors influencing on perception of managers on business performance were market information, cost/quality control, opposing power to business depression, store management, product management, sales promotion. There were significant differences between factors influencing on perception of managers on business performance and business performance(the extent of success, profit and growth). It was market information and store management that the most important for the extent of success. It was opposing power to business depression, store management and product management that the most important for the extent of profit. It was market information, store management and product management that the most important for the extent of growth.

• Journal of the Korean Society of Physical Medicine
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• v.13 no.2
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• pp.21-31
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• 2018

PURPOSE: This study examined the differences between male and female workers by investigating the various factors that affected the workers' abilities to return to work according to the International Classification of Functioning standards. METHODS: We analyzed the personal factor, environmental factor, work performance and participation factor related to ICF according to worker's gender. For this purpose data from the third Worker's Compensation Insurance panel survey conducted by the Korea Workers' Compensation & Welfare Service were analyzed. In order to verify the research model, we used frequency analysis, cross analysis to compare the differences between male and female workers according to personal, environmental, work performance, and participation factors and hierarchical regression analysis to identify significant factors affecting job performance. RESULTS: The results, indicate that the level of education, license status, working period, socioeconomic status and employment type of female workers were lower than those of male workers. Factors that have the greatest influence on job performance are grade of disability, status of disability, economic activity status, and instrumental activities of daily living (p<.05). CONCLUSION: It is necessary to provide socially stable employment support and social policy support without discrimination to allow disabled female workers to return to work and maintain their jobs and to study factors influencing job performance further.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.4
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• pp.89-103
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• 2006

The purpose of this study is to examine influential factors in knowledge-sharing and to analyze how these factors influence the performances of knowledge management (KM) in public enterprises. Influencing factors of KM in this study include evaluation-compensation, knowledge management system, learning culture, and organizational structures. As a result, analysis turned out to be the KM system and organizational structure directly effects knowledge-sharing and KM performances. And knowledge-sharing performed as mediating effect between independent variables such as compensation system and organization structure, and dependent variable like KM performance. Therefore, this study concludes that each factor of evaluation-compensation system and learning culture has directly influenced to knowledge-sharing, yet KM performances have Indirectly influenced.

• Journal of muscle and joint health
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• v.21 no.1
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• pp.55-64
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• 2014

Purpose: This study identified the factors influencing the self-care performance among gout patients to provide the basis of the development of a nursing intervention program that can improve the self-care performance. Methods: A survey was conducted of 132 gout patients who visited the departments of rheumatology and orthopedics from September to November 2013. The data were collected using the instruments for knowledge of gout, self-care performance, and self-efficacy. Results: The gout patients' knowledge, self-efficacy, exercise pattern, and drink pattern accounted for 71.2% of the self-care performance. Among them, the most important factor affecting on self-care behaviors was knowledge levels, showing the variance of 51.0%. Conclusion: The strategy for improving the knowledge and self -efficacy level should be considered in the development of educational programs for gout patients.

• Journal of Korean Academy of Nursing
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• v.51 no.6
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• pp.678-688
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• 2021

Purpose: The purpose of this study was to identify factors influencing nurses' performance of care in COVID-19 wards. Methods: The participants were 132 nurses who worked in COVID-19 wards at three hospitals, and were recruited from April 1 to May 31, 2021. Data were analyzed using descriptive statistics, t-test, ANOVA, and multiple regression analysis with SPSS/WIN 24.0 program. Results: Nursing performance was significantly and positively correlated with ethical sensitivity (r = .75, p < .001), nursing professionalism (r = .67, p < .001), and social support (r = .67, p < .001). Nursing professionalism was positively correlated with ethical sensitivity (r = .64, p < .001) and social support (r = .55, p < .001). Multiple regression analysis for nursing performance revealed that the most significant factor was ethical sensitivity (β = .47, p < .001). Ethical sensitivity, nursing professionalism, and social support explained 66.0% of total variance in nursing performance. Conclusion: Ethical sensitiviy, nursing professionalism, and social support significantly influence nurses' performace of care in COVID-19 wards. It suggests that intervention programs should be directed at improving nurses' ethical sensitivity, bolstering social support, and enhancing nursing professionalism.

• Journal of Preventive Medicine and Public Health
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• v.20 no.1 s.21
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• pp.67-83
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• 1987

This study relates to the problems of organizational performance in the Christian hospitals. In this study, quality of working life (QOWL), which harmonizes individual as well as organizational goals, was used as an indicator of organizational performance from the open systems view. In order to identify the behavioral factors influencing QOWL in hospitals, self-administered questionnaires were distributed to 1,926 employees who were randomly selected from fifteen Christian hospitals from August 1 to August 30, 1986. The following results were obtained: 1) All correlation coefficients between QOWL and behavioral variables were statistically significant even though their magnitude varied according to hospital size. 2) Using factor analysis, 32 variables were parsimoniously grouped into four factors: individual conflicts, group behavior, organizational characteristics and situation, and job characteristics. The proportion of variance explained by these factors ranged from 33.5% to 38.6% according to hospital size. 3) The overall effects of the four factors in the multiple logistic models ranged from 0.85 to 3.12 according to hospital size. Among three hospital models, the model for small hospitals showed the best statistical fit. 4) The most influential factor was organizational characteristics and situation with an odds ratio ranging from 1.99 to 3.02. Again, the odds ratio was the highest for small hospitals. 5) For large hospitals, the two main factor effects were statistically significant: organizational characteristics and situation, and job characteristics. For medium hospitals, all main factor effects except job characteristics were statistically significant. For small hospitals, all main factor effects except group behavior were statistically significant. However, a factor interaction effect was shown only for large hospitals where it was statistically significant. 6) To examine whether the four factors influence financial performance, the four factor scores from the two financial performance groups were compared using Mann-Whitney test. The test results showed that the organizational characteristics and situation factor score was significantly different only for small hospitals.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.20 no.1
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• pp.33-43
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• 2013

Purpose: The aim of this study was to investigate the perceptions of nurses regarding their roles in social welfare facilities, including role expectation, role performance, and role conflict and its influencing factors. Methods: Data were collected by administering a structured questionnaire to 92 nurses working in 5 types of social welfare facilities. Descriptive statistics, paired t test, Pearson correlation coefficient, and multiple linear regression analyses were performed using the SPSS Win 18.0 program. Results: The mean score of role expectation ($4.44{\pm}0.41$) was significantly higher(t =17.50, p<.001) than that of role performance ($3.46{\pm}0.005$). The biggest mean difference between role expectation and role performance was found in "research activities" ($2.92{\pm}0.81$). The mean score of role conflict was $2.89{\pm}0.66$, with the highest mean score found in "conflict caused when one nurse takes up two or more roles" ($3.31{\pm}0.69$). The influencing factors on role conflict were the difference between role expectation and role performance(${\beta}=.45$, p<.001), and facility size (${\beta}=-.37$, p<.001), which accounts for 51.5% incidence of role conflict controlling nurses' age, career, position, and working periods in social welfare facilities (F=17.13, p<.001). Conclusion: The nurses working in the social welfare facilities perceived some restrictions on their role performance compared with their role expectation, this difference being a major factor influencing their role conflict. Therefore, future studies need to investigate interventions to minimize this effect.