• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.146-152
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• 2022

The National Agency for Quality Assurance in Higher Education plays a crucial role in education in Ukraine, as an independent entity creates and ensures quality standards of higher education, which allow to properly implement the educational policy of the state, develop the economy and society as a whole. The purpose of the article: to reveal the crucial role of the National Agency for Quality Assurance in Higher Education to create quality management of higher education institutions, to show its mechanism as an independent entity that creates and ensures quality standards of higher education. and society as a whole. The mission of the National Agency for Quality Assurance in Higher Education is to become a catalyst for positive changes in higher education and the formation of a culture of its quality. The strategic goals of the National Agency are implemented in three main areas: the quality of educational services, recognition of the quality of scientific results, ensuring the systemic impact of the National Agency. The National Agency for Quality Assurance in Higher Education exercises various powers, which can be divided into: regulatory, analytical, accreditation, control, communication. The effectiveness of the work of the National Agency for Quality Assurance in Higher Education for 2020 has been proved. The results of a survey conducted by 183 higher education institutions of Ukraine conducted by the National Agency for Quality Assurance in Higher Education are shown. Emphasis was placed on the development of "Recommendations of the National Agency for Quality Assurance in Higher Education regarding the introduction of an internal quality assurance system." The international activity and international recognition of the National Agency for Quality Assurance in Higher Education are shown.

• Journal of Korean Society for Quality Management
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• v.31 no.3
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• pp.37-61
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• 2003

The purpose of this study is to identify (1) the successful quality management activities of domestic enterprises contribute to enhancing both corporate and national competitiveness and that the corporate and national competitiveness are related each other; (2) and to have the government and the citizens as well as enterprises re-recognize the importance of quality management and encourage them to make aggressive investments on quality management. It was found in this study that the enterprises with quality management scheme showed better performance that those without quality management activities. It was also found that quality competitiveness is a key factor for the enhancement of the national competitiveness, and that although quality improvement is normally realized through efforts of private enterprises (a conventional paradigm), active government support and participation are absolutely necessary for the competitiveness of the nation and industries. Accordingly, the quality management should be recognized not only as part of business improvement activities, but as nationwide activities where public sectors including government enterprises, hospitals, schools, regional governments, media companies and citizens groups are involved. In order to build a high-quality nation in the 21st century, the quality improvement should be realized through concerted efforts of the people, enterprises and the government.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.167-175
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• 2020

The study aims to examine the relationships between service quality, experience value, relationship quality and behavior intentions. Validated measurements were identified from a literature review. The total of 309 valid respondents were used in this research. The measurement model and the conceptual model depicting hypothesized relationships were evaluated based on the 309 responses using confirmatory factor analysis and a structural equation modeling, accordingly. In addition, this study systematized the concepts, defined and tested the component scales of the relationship model between service quality, experience value, relationship quality and behavior intentions from the collected data, which helps to adequately identify the relationship between the factors in the model as well as the impact. The findings confirm that service quality influences experience values, relationship quality and purchase intention. Service quality, experience value, relationship quality and behavior intentions altogether are not well understood in current literature despite the important implication for managers, academicians and consumers alike. Contributes to a better fit between relationship marketing models and managerial practice in business markets. This study provides managerial implications regarding service quality and experience value so that firms and marketers can consult and apply. Managers should not only focus on the improvement of service quality but overall strategic planning.

• Journal of Nutrition and Health
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• v.19 no.1
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• pp.23-31
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• 1986

This study was attempted to investigate the effect of family environment on the dietary quality of adolescence. The subjected were 390 girls aged from 13 to 19 and their mothers in Chung-Nam province area. The survey was conducted from Febril 6 to 16, 1985. The results can be summarized as follows ; 1) The mean dietary score of nutrient adequacy of subjects was 11.85 out of possible 17, which showed that all nutrients intake might be lower than the R.D.A. 2) According to resident place, dietary quality was tended to be better in order of rural place, small city and medium city 9P<0.01). 3) In smaller numbers of family members, dietary quality was tended to be better (P<0.01). 4) Family pattern did not affect the dietary quality. 5) According to socioeconomic status, dietary quality was tended to be better at the upper class(P<0.05). 6) Dietary quality was tended to be better according to the increase of PCEF(per capita expenditure for food). 7) Mother's employment was likely to improve the dietary quality (P<0.01). 8) Dietary quality was tended to be better according to mother's favored attitude toward nutrition(P<0.01). 9) Mother's attitude toward taste affected the dietary quality, but this effect was not constant(P<0.01). 10) Mother's attitude toward family's food preference affected the dietary quality adversely (P<0.01). 11) Mother's score of nutrition knowledge was likely to affect the dietary quality. 12) Dietary quality was positively correlated to health status of subjects. And there was a significantly negative correlation between dietary quality and menarcheal age (P<0.01).

• Journal of Korean Biological Nursing Science
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• v.16 no.2
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• pp.98-104
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• 2014

Purpose: The purpose of this study was to assess sleep quality and to identify predictors of poor sleep quality in nursing students. Methods: The participants surveyed were 302 individuals at G College located in Kangwon-do. The participants completed the questionnaire including demographic characteristics, health behavior, and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality. The BMI was calculated using height and weight. For the statistical analysis, $X^2$ test, Spearman correlation, and logistic regression were performed using the SAS window (version 9.2) program. Results: From the 302 individuals, 219 (72.5%) had poor sleep quality. The results showed significant correlations between physical activity and sleep quality, as well as between sleep duration and sleep quality. The BMI and sleep quality did not show any significant relationship. The factors affecting sleep quality were sleep latency (OR, 4.167; 95% CI, 1.406-12.344), sleep duration (OR, 6.717; 95% CI, 2.386-18.912), and sedentary hours (OR, 2.971; 95% CI, 1.095-8.064). Conclusion: The study demonstrates that poor sleep quality is common in nursing students, and intervention study is needed to improve sleep quality in nursing students. Additional studies are needed to determine the relationship between BMI and sleep quality.

• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.601-610
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• 2017

Purpose: Authors observe the digital twin enabled smart factory and/or digital manufacturing processes where Industry 4.0 technologies and quality management principles intersect. In this regard, this study reviews existing research regarding digital twins from the perspective of quality management. Methods: Initially, attention was given to how digital twins are manifested in the Industry 4.0 environment. Then, authors identify quality management elements amongst digital twin models, to align the concept of quality with the functional purpose of digital twins. After introducing specific examples of quality management tools applied to digital twins, the authors extend the domain of quality management into the analysis of multimedia format quality data obtained through machine vision. Results: Inspired by cases on the quality management application to digital twins, the authors suggest a framework for Industry 4.0 quality management. The envisioned suggested framework encompasses 4 dimensions, namely, 4M&1E, an application time window, new methodologies, and enabling technologies. Conclusion: Finally, the authors unfold the emerging trend of digital twin enabled smart factories, while emphasizing the necessity of quality management in conjunction with the introduction of digital twins.

• Journal of Korean Society for Quality Management
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• v.41 no.3
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• pp.457-463
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• 2013

Purpose: For effective quality assurance activities, BOM-based quality assurance method is presented. This study introduces various BOM conversions such as Q-BOM, T-BOM, and S-BOM based on M-BOM structure. Methods: Product quality control via Q-BOM manages inspection/audit information, overall supply-chain of product, part requirements, and inventory status. T-BOM manages part traceability, and S-BOM enables statistical control over key process and parts at various hierarchy levels. Results: Quality plan template was developed based on the study results of BOM system including Q-BOM, T-BOM, and S-BOM. Conclusion: Through BOM(Q-BOM, T-BOM, and S-BOM) study and development of quality plan template, more systematic and comprehensive quality management plan is achieved.

• The Research Journal of the Costume Culture
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• v.19 no.1
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• pp.163-175
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• 2011

The purposes of this study are to identify quality factors of knitwears, to find out important attributes of knitwears quality, and to find attributes of knitwears quality which improvement are required. College students in the Seoul district participated in the study, a convenience sampling method was used. A questionnaires was arranged with three separates subject sections, importance degree of knitwears quality, satisfaction degree of purchased knitwears, and demographic factors. Data from 280 questionnaires were used for the statistical analysis. For data analysis, factor analysis, paired-samples t-test and multiple response frequency were conducted. The results were as follows. Knitwears quality factors were classified into six subdivisions by factor analysis; physical functions, yarn and fabric properties, fit, symbol, aesthetic, and usefulness. Quality attributes in purchasing knitwears were considered importantly in order of design, textures, color, price, size, and shape stability, etc. Among quality attributes on knitwears, there were significant differences in importance degree and satisfaction degree; important degree was higher than satisfaction degree to six factors on knitwears quality. Especially, in graph according to gap analysis, physical function and symbol were included in IV area, attributes that attention, required of quality improvement. In contrast, yarn and fabric properties, fit, aesthetic, and usefulness were included in I area, strengths, maintained presently quality levels.

• Journal of Electrical Engineering and Technology
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• v.9 no.4
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• pp.1154-1162
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• 2014

In the restructured electricity market, Performance-Based Regulation (PBR) regime has been introduced to the distribution network. To ensure the network stability, this regime is used along with quality regulations. Quality regulation impose new financial risks on distribution system operators (DSOs). The poor quality of the network will result in reduced revenues for DSOs. The mentioned financial risks depend on the quality indices of the system. Based on annual variation of these indices, the cost of quality regulation will also vary. In this paper with regard to reclosing fault in distribution network, we develop a risk-based method to assess the financial risks caused by quality regulation for DSOs. Furthermore, in order to take the stochastic behavior of the distribution network and quality indices variations into account, time-sequential Monte Carlo simulation method is used. Using the proposed risk method, the effect of taking reclosing time into account will be examined on system quality indicators and the cost of quality regulation in Swedish rural reliability test system (SRRTS). The results show that taking reclosing fault into consideration, affects the system quality indicators, particularly annual average interruption frequency index of the system (SAIFI). Moreover taking reclosing fault into consideration also affects the quality regulations cost. Therefore, considering reclosing time provides a more realistic viewpoint about the financial risks arising from quality regulation for DSOs.

• The KIPS Transactions:PartD
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• v.8D no.6
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• pp.699-704
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• 2001

Developing a component-based software requires verified and standardized software components. This paper presents a component quality management (CQM) process. The process was developed and applied to the government-sponsored trial projects that developed software components. The process is composed of four phases：quality specification, quality planning, quality control, and quality evaluation. With this process, we can establish quality goals and focus our efforts on the activities to achieve the goals. A component quality model is also suggested to transform the implicit quality requirements into the measurable quality goals and to be used for the basis when we evaluate the quality of software components against the quality goals.