• The Korean Journal of Health Service Management
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• v.8 no.1
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• pp.1-13
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• 2014

The purpose of this study is to investigate the perception of quality property of hospital information system, the quality level, and its effects. The participants were 730 employees who are using hospital information system in hospitals. In order to analyze the relationship, the quality property regulates the consideration of user's taste and the state of user's favor for the design of hospital information system, and the quality level regulates user's convenience and properness. The main results from this study can be summarized as follows, First, the perception of quality property for hospital information system showed few significance level between occupation, but revealed significance level between position. The evaluation of quality level showed significance level depending on the occupation and position. Second, quality property which generally affects to the quality level of the hospital information system were different between types of occupation and quality factor.

• International Journal of Quality Innovation
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• v.8 no.1
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• pp.87-98
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• 2007

A COQ model plays an important role in the total quality cost survey. Based on the methodology of continuous quality improvement, a dynamic COQ model for different quality level is developed in this paper. A quality level is defined by Six Sigma level that can be measured by two indicators. The relationships among the four major quality costs are analyzed. Finally, the curves of total quality costs for different quality level are presented.

• Journal of Korean Society for Quality Management
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• v.39 no.1
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• pp.78-89
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• 2011

A study for service quality is actively done but that for the quality level of the provided service recognized by the service provider for the same service, and for the difference in quality level of service use recognized by the service user is not relatively widely done. Thus, this study analyzed difference between the quality level of the provided service recognized by the service provider and the quality level of service use recognized by the service user, around administrative service as one of cores of the university service, and examined how difference between both service qualities have effect on business the business satisfaction level of the service provider. We measured the service level provided by the individual in charge of the administrative service of the A-university and examined the service quality in business by use of questionnaires. As the result, it was appeared that the quality level of the provided service recognized by the service provider for the same service quality was higher than the quality level of service use recognized by the service user. In addition, it was found that the quality level of the provided service recognized by the service provider had a significant effect on the service provider's business satisfaction level but the quality level of service use recognized by the service user had not effect on the business satisfaction level of the provider.

• Journal of Korean Society on Water Environment
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• v.23 no.2
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• pp.260-265
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• 2007

This study was carried out to complement water quality standards and to establish new concept for water quality standards reflecting current state of water quality in small streams. By this purpose, discriminant analysis was performed and Water Quality Level Model (WQLM) was developed using the data such as EC, BOD, $COD_{Mn}$, SS, T-N, T-P, $NH_3-N$ in 224 agricultural streams. To give water quality level for water quality parameters, it divided into 20% respectively in the order of excellent water quality. On the basis of the lowest water quality level, water quality level of small streams is granted. As a result of it, number of stream corresponding to Level I was no, Level II was 2 streams, Level III was 22 streams, Level IV was 70 streams, and Level V was 130 streams. Average of water quality in each level was the highest in Level V. EC, SS, and T-N of 7 parameters were selected in variance concerned water quality level. By standardized canonical discriminant function coefficient, EC of three variances was the highest in 0.625 at the discriminant power. The next was T-N (0.509), SS (0.414). By discriminant function for water quality level, Level II was equal to $-2.973+19.376{\times}(EC)+0.647{\times}(T-N)+0.009{\times}(SS)$, Level III was equal to $-3.288+19.190{\times}(EC)+0.733{\times}(T-N)+0.041{\times}(SS)$, Level IV was equal to $-4.462+27.097{\times}(EC)+0.792{\times}(T-N)+0.053{\times}(SS)$, and Level V was equal to $-9.117+40.040{\times}(EC)+1.305{\times}(T-N)+0.111{\times}(SS)$. As a result of test at real agricultural watershed of Jeongan and Euidang in Gongju city, the fitness of WQLM was high to 88.78%. But, to get accomplished water quality assessment more exactly in agricultural streams, we had to concentrate and get vast data, and WQLM was modified and complemented continually.

• Journal of Families and Better Life
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• v.27 no.3
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• pp.213-224
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• 2009

This research aims to analyze and compare the objective and subjective evaluation criteria for home appliances. In addition, this research examined the correlation between those evaluation criteria. Furthermore, consumers are divided by the level of the differences between those criteria; consumer groups whose subjective evaluation level for the quality of home appliances is greater than objective evaluation level, consumer groups whose subjective evaluation level is almost the same, and consumer groups whose subjective evaluation level for the quality of home appliances is lower than objective evaluation level, and this study investigated the differences those three groups by the socio-demographic characteristics and consumers' behavior in the stage of purchase. Results of this research could be summarized as follows. First of all, there were statistically significant between the level of the objective and subjective evaluation in the quality of home appliances. Second, when consumers purchased the expensive home appliance, imported-brand home appliance, home appliances in department store, the level of subjective evaluation level for the quality of home appliances is higher than objective evaluation level. Third, the level of satisfaction for the price, quality, AS, overall satisfaction, and the level of willingness to repurchase were higher in consumer groups whose subjective evaluation level was higher than objective evaluation level.

• Journal of Korean Society for Quality Management
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• v.47 no.2
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• pp.217-236
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• 2019

Purpose: This article aims 1) to identify key elements for building quality culture, 2) to design and analyze survey data from defense industry companies, and 3) to suggest directions for enhancing quality culture levels. Methods: Key elements and items for a quality culture are derived by investigating related references and using affinity diagram. Questionnaire items to investigate the quality culture level of the organizations are prepared and the survey data on the level of quality culture of military defense companies are analyzed. Results: 1) Descriptive statistical analyses are presented to compare the levels of the six key elements. 2) In each element items with low scores are identified, which should be improved. 3) Among six key elements, 'support 'element shows lowest level. 4) The quality culture level of the small-sized companies are relatively low. Conclusion: 1) To improve the quality culture level of the defense industry companies, it is necessary to provide quality education, to enhance recognition and rewards, and to invest resources for employees' self-development. 2) Small-sized companies can easily be adapted to quality-oriented cultural change if the CEO leadership focuses on quality culture.

• Journal of Korean Society for Quality Management
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• v.24 no.3
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• pp.1-18
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• 1996

The purpose of this study is to empirically examine the role of supplier relationships as a means of enhancement of quality. The model for this study consists of four groups of concepts - 1) goal of quality, as 2) measures of supplier relationships, supplier assistance and buyer supplier communication, 3) the level of automation and technology, as 4) measures of performance, reliability quality and performance quality. By statistical analysis, the results are as follows. First, the goal of quality positively influences the level of automation, technology, supplier assistance and supplier communication. Second, the level of technology has a positive effect on supplier assistance and supplier communication on the level of automation. Third, the level of automation and technology positively influence the reliability quality. Fourth, supplier assistance and buyer-supplier communication has a positive effect on the reliability and performance quality. These results reveal three paths of supplier relationships in systems for the enhancement of quality.

• Journal of Korean Academy of Nursing
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• v.39 no.3
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• pp.409-421
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• 2009

Purpose: In this research multi-level analysis was done to identify factors related to quality of services. Patient characteristics and organizational factors were considered. Methods: The data were collected from the Health Insurance Review and Assessment Service(HIRA) data base. The sample was selected from 17,234 patients who had been admitted between January 2007 and May 2008 to one of 253 long-term care hospitals located in Seoul, six other metropolitan cities or nine provinces The data were analyzed with SAS 9.1 using multi-level analysis. Results: The results indicated that individual level variables related to quality of service were age, cognitive ability, patient classification, and initial quality scores. The organizational level variables related to quality of service were ownership, number of beds, and turnover rate. The explanatory power of variables related to organizational level variances in quality of service was 23.72%. Conclusion: The results of this study indicate that differences in the quality of services were related to organizational factors. It is necessary to consider not only individual factors but also higher-level organizational factors such as nurse' welfare and facility standards if quality of service in long term care hospitals is to be improved.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.107-116
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• 2019

The defense industry has recently been developed for boosting exports of weapon systems. The survey and analysis of the quality level are required to form a relevant policy for expanding the defense industry. Evaluation indices and modeling of the quality level for manufacturers are used to examine the status of internal quality management and quality management system in order to enhance the overall quality level and establish a quality policy in the field of military supplies. There were some restrictions to apply all aspects of the quality level in the previous model. This paper deals with the research and analysis of other types of model for evaluating the quality level, including the model used in the defense field. By enhancing the close link between procedure indices and performance indices, the research and analysis could be conducted objectively and intuitively. The developed and improved model and indices will be used in the next survey of the quality level for manufacturers of military supplies. The survey results will be used to establish effective government quality management policy.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.18-26
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• 2017

Defense industries which require high reliability need an optimized quality management system with well-planned implementation. And the government should examine the overall status of defense industries, then establish practical policies with a proper support plan in required areas to upgrade the quality management level of manufacturers. Thus, DTaQ developed the model for 2 years from 2014, which specialized in quality management level analysis for defense industries. And a survey has been undertaken with that model by DTaQ and Korea Research Center in 2016. The surveyed companies randomly sampled among those which have more than 30 employees and delivery history over past 3 years, and finally 106 defense industries were selected. This paper present survey method and indexes for survey of defense industry quality management level. The survey was conducted in the order of planning, data collection and data processing, and the validity and reliability of the data were verified to increase objectivity of survey results. The survey contents mainly consist of system quality and management quality. System quality includes Product Development Management, Production Operation Management, supply chain quality management, Safety & Environment Management and Reliability Management, on the other hand, management quality includes Strategic Leadership, Human Resource Management, Customer Market Management and Information & Knowledge Management. Thus this proposes the current overall quality management status of the 106 defense industries and shows level differences by company sizes and manufacturing sectors based on the result of survey. Specifically, this paper enables to track the areas which need prompt government support with the policy directions to make quality management level higher. Therefore, it is expected that this can be used as reference data in establishing quality policies for military supplies in the future.