• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.243-249
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• 2022

Improving the quality of teaching staff in universities is an important goal of most universities. Therefore, it is necessary to evaluate the factors affecting the quality improvement of lecturers at universities. There are many factors affecting the improvement of this quality of human resources. This article uses the survey method to assess the factors affecting the improvement of the quality of lecturers in education and training institutions of the Ministry of Transport of Vietnam. Currently, the Ministry of Transport of Vietnam has 4 educational institutions. The research team has assessed the impact factors at these 4 facilities. The research team conducted a survey for faculty members of the Ministry of Transport. The result was 446 votes. The authors have performed factor evaluation by multivariate regression model. The influencing factors include Professional competence, the virtue of teaching staff, scientific research capacity, participating in building a democratic educational environment, Professional support policy, Instructor's income, and Information technology support. Research results show that most of the factors have a positive impact on improving the quality of lecturers. Based on the survey results, the authors also make policy suggestions to further improve the quality of teaching staff of the schools in the coming time.

• Korean Journal of Adult Nursing
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• v.29 no.3
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• pp.290-301
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• 2017

Purpose: This study was aimed to identify the level of emotional labor, job stress and professional quality of life and to identify the factors affecting on professional quality of life among nurses in long-term care hospitals. Methods: 136 nurses working at eight different long-term care hospitals were recruited from May 1 to June 30, 2016. Data were analyzed by descriptive statistics, t-test, ANOVA, Pearson correlation, and stepwise multiple regression using SPSS/WIN 22.0. Results: Professional quality of life is consisted of three subcategories as compassion satisfaction, secondary traumatic stress and burn-out. As for the factors affecting on compassion satisfaction, age, satisfaction on working ward and shift pattern of duties were significant factors. The three variables' explanation power on compassion satisfaction was 25.0%. As for factors affecting on secondary traumatic stress, emotional labor was a significant factor. The emotional labor's explanation power on secondary traumatic stress was 13.0%. Factors affecting on burn-out, emotional labor, age, and health condition were significant factors. The three variables' explanation power on burnout is 31.0%. Conclusion: On the basis of results, program development are required to relieve emotional labor and job stress for nurses at long-term care hospitals and to improve their professional quality of life.

• Journal of Digital Convergence
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• v.7 no.4
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• pp.91-99
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• 2009

To determine factors affecting scholarly web database service quality, this research is to investigate factors of web academic information service quality, and analyze how these factors influencing on web academic information service quality satisfactions. As a results, three dimensions were identified namely, information retrieval, ease of use and interaction. The scholarly web database service management has more critical problems than information service in these days. It indicates that the qualitative aspect is becoming more important than quantitative in web academic information service management.

• Health Policy and Management
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• v.10 no.3
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• pp.129-154
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• 2000

This study aims at providing the basic data necessary for developing a model of and the policies for the improved quality of life of the adult population by measuring and analyzing factors affecting the quality of life based on a WHOQOL-Bref survey of 1,200 persons above the age of 20 residing in Taegu Metropolitan City area. 1. The factors affecting their quality of life were measured as follows: The physical conditions got the highest point of 3.31 while the psychological conditions got 3.20 and the environmental conditions got the lowest point of 3.09. The overall quality of life was rated to be at 3.11 2. General conditions affecting the quality of life, such as the economic conditions, health conditions and stress all turned out to be variables having significant differences(p〈0.01) in all the factors affecting the quality of life. 3. Through the analysis, we also found out the positive correlation exists among all the factors determining the quality of life(p〈0.01), while the psychological factor turning out to have the highest correlation value(r=0.640) with the overall quality of life. 4. To find out the factors affecting all the aspects of quality of life, we also conducted a multiple regression analysis employing the general characteristics as an independent variable. The health, economic and stress conditions all turned out to be significant in all aspects(p〈0.01). Summarizing the above analysis, the quality of life has a high correlation with the psychological, physical and environmental conditions. It has also turned out that the health, economic and stress conditions have the greatest influence on the quality of life. Therefore, it is believed to be necessary that a comprehensive program be developed to promote the public health and to formulate a model for improvement of the people's quality of life that can enhance their physical, psychological and social health conditions.

• Asia pacific journal of information systems
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• v.16 no.2
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• pp.159-181
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• 2006

The purpose of this research is to identify the factors affecting user acceptance of mobile banking. To test the hypotheses, this research incorporates trust to extend the model. This study investigates the causal relationship among four factors; perceived ease of use, perceived usefulness, trust, and intention to use in mobile banking. This study also identifies the elements by which these factors are influenced. The result finds that facilitation condition and self-efficacy are significant elements affecting perceived ease of use. System quality, perceived ease of use and trust are significant elements affecting perceived usefulness, However, social influence is found to be not significant. System quality and perceived ease of use are significant elements affecting trust. Conclusively, perceived ease of use, perceived usefulness and trust are significant factors affecting the user acceptance in Mobile banking.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.715-721
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• 2020

This paper aims to investigate the factors affecting the quality of rural labor in Vietnam, a case study in Thai Nguyen province. For this purpose, we establish an integrated framework of factors affecting the quality of rural labor. We use Fuzzy analytic hierarchy process (Fuzzy-AHP) to assess the weight of the criteria and sub-criteria of rural labor quality. This method introduced by Saaty (1987) is a useful tool to cope with the complexity of decision-making. The Fuzzy-AHP is one of the most common Multi-Criteria Decision-Making instruments for dealing with quantifiable and intangible criteria, which reflect the relative importance of the alternatives based on constructing a pairwise comparison matrix. The results show that the four most weighted factors are institutions, local government policies, technical qualifications, and mentality. In particular, the weight of the institution is the largest (0.2343), meaning that this factor is the most important one affecting the quality of rural labor in Thai Nguyen province. The weight of local government policy is close to that of institution, about 0.2259. The weights of technical qualification and mentality are 0.1238 and 0.1135, respectively. In addition, age and education levels do not significantly affect the rural labor quality of Thai Nguyen province.

• Architectural research
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• v.14 no.3
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• pp.93-98
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• 2012

The objective of the study is to analyze the relative performance of factors affecting indoor air quality in multi-residential buildings in Korea. A study of the factors affecting indoor air quality is essential for establishing indoor air quality management strategies effectively. To observe the indoor air quality response following a modification of a given parameter, a sensitivity analysis was performed. The factors examined for the analysis include; wall/ceiling paper, adhesive for wall/ceiling paper, floor material, adhesive for floor material, and ventilation rate. The Experimental Design which identifies main effects among the design parameters with a few experiments was used to decrease the number of experiments. The simulation for indoor air quality was undertaken using a validated equation. Then, ANOVA(Analysis of Variance) was performed to evaluate the relative importance of each parameter affecting the indoor air quality. The result of the study indicates that the indoor air quality may be influenced most by adhesive for wall/ceiling paper, followed by ventilation rate and adhesive for floor material.

• The Journal of Korean Academic Society of Nursing Education
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• v.13 no.1
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• pp.74-81
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• 2007

Purpose: This study was to investigate the factors affecting health-related quality of life in Benign Prostatic Hypertrophy(BPH) Patients. Method: Data was collected on 259 outpatients who were receiving ambulatory treatment after having been diagnosed with BPH. The measurement tool for the quality of life was developed by Epstein and Deverka(1992) and adapted by Kim Yeong-hye(1997). Data was analyzed with the number, percentage, and the mean and multiple regression, by using the SPSS 12.0 program. Result: The mean quality of life in the sexual-life domain respectively. Factors affecting the quality of life in BPH patients were the symptom of BPH(51.4%), the perceived health state(3.6%), and self-efficacy (1.6%). These three factors described 56.6% of quality of life. Conclusion: It's necessary to have an intervention plan that can enhance the most influential disease-symptom management in a patient, and self-efficacy when planning a nursing education program aiming to promote quality of life in BPH patients.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.20 no.2
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• pp.168-176
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• 2013

Purpose: The purpose of this study was to identify factors affecting quality of life according to Body Mass Index (BMI) of women college students. Methods: The research design was a descriptive survey design using a convenience sampling. Data were collected using self-report questionnaires. Participants were 348 women college students. Data analysis was done using SPSS/WIN 18.0 program for descriptive statistics, Pearson correlation coefficients and hierarchial multiple regression. Results: According to BMI, 3 groups of students were identified. Differences between the groups for quality of life were significant. The major factors affecting quality of life in the underweight group were departments (college), body stress and ego-resilience which explained 27.9% of the variance in quality of life. Body stress and ego-resilience were significant predictors explaining 23.1% of the variance in quality of life in the normal weight group. Ego-resilience was also a significant predictor in the overweight group explaining 15.2% of the variance in quality of life. Conclusion: Findings indicate a need to decrease body stress and strengthen ego-resilience to improve quality of life of women college students. Further studies are needed to examine nursing intervention strategies for improving quality of life for women college students.

• Journal of Information Technology Applications and Management
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• v.29 no.2
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• pp.27-37
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• 2022

This study was attempted to identify the effects of physical and mental health on quality of life in middle-aged adults by gender. The Data were analyzed for 4,511 adults (2,260 men, 2,251 women) aged 45 to 65 who had no missing values in major variables based on the data of the 2016 Korea Health Panel. According to the data, the quality of life in middle-aged adults was .92 (±.08) for men and .91 (±.10) for women, which was significantly higher than that of women (t=3.54, p<.001). Factors affecting the quality of life in middle-aged men were subjective health status (β=.40, p<.001), stress (β=-.17, p<.001) and education level (β=.10, p<.001), and these variables explained 23% of the quality of life (F=227.28, p<.001). Factors affecting the quality of life in middle-aged women were subjective health status (β=.40, p<.001), stress (β=-.11, p<.001), education level (β=.05, p=.011) and anxiety (β=-.05, p=.022), and these variables explained 21% of the quality of life (F=145.42, p<.001). Based on the results of this study, the group with low level of education in middle-aged adults needs health management, education on how to relieve stress, and intensive management to improve the quality of life. In addition, the differentiated approach should be required to reduce anxiety in middle-aged women.