• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.3
• /
• pp.101-111
• /
• 2020

Companies struggle to make their best products with high quality and service at a competitive price in global markets. However, customer needs and requirements keep changing with a variety of situations. Companies that face the changes can not stay the same and make an effort to adapt themselves to new circumstances. They would probably review the overall management system that is currently implementing to improve management efficiency. Among other things, quality might be considered to be a crucial element if they are manufacturing industries to be sustained in global markets. KSA (Korean Standards Association) is a government-affiliated organization under the Ministry of Trade, Infrastructure, and Energy. It is a Korean standards provider for quality and service industry. KSA confers national commendations for organizations, quality circles, artisans, QCEC (Quality Competitive Excellent Company), and the most honorable KNQA (Korean National Quality Award) every year. KSA established KNQA on the basis of Malcom Baldrige National Quality Award, Deming Prize, and European Quality Award. Research on quality awards shows that there are many similarities in the framework. Although KSA summarizes two factors for 13 evaluation indicators in the quality competitive excellent model of QCEC, the categorization is ambiguous to explain them according to earlier studies. We performed a deep analysis of foreign quality awards and background for KNQA and QCEC. We conducted a content analysis of KNQA and QCEC and matched evaluation items that were closely related. We proposed a quality competitiveness model with three factors, Technology, System, and Tools, summarizing 13 evaluation indicators in QCEC. Based on audit data for six years from 2012 to 2017 we carried out a confirmatory factor analysis for the proposed model by examining the model validity and fitness.

• International Journal of Advanced Culture Technology
• /
• v.6 no.3
• /
• pp.88-97
• /
• 2018

As the trade among the countries increases, domestic agriculture is facing a crisis. Especially domestic rice industry is suffering from the rice market opening problem and the domestic rice industry itself. As a counter measure against this, despite the promotion of the rice processing food industry, the export of rice processed food has decreased by an average annual rate of 12.3% since 2011 due to the lack of customized export strategy, such as low price competitiveness, insufficient quality and brand management. As a measure, we selected indicators to prioritize establishment of export strategy of rice processed food business and used AHP methodology to draw the weight for each indicators. The selection of export strategy prioritization indicator was based on the marketing mix theory, various previous research reviews and expert consulting. Five higher level indicators and nineteen detailed indicators were derived, and a weighted value of them was analyzed using a professional package. As a result, the relative importance of higher level indicators was 45.5% for product differentiation, 18.4% for management competence, 13.0% for export infrastructure, 12.0% for product pricing, and 11.1% for product distribution. The relative importance of the lower level indicators was 17.3% for product safety, 15.3% for product quality, 9.1% for management expertise, and 7.0% for product brand. This result is expected to be used as export strategy indicators of rice processed food export business.

• International Journal of Quality Innovation
• /
• v.9 no.2
• /
• pp.99-117
• /
• 2008

High-tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high-tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high-tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan's high-tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.

• Journal of Korean Society for Quality Management
• /
• v.50 no.4
• /
• pp.665-677
• /
• 2022

Purpose: The purpose of this study is to analyze the current status and investigate relevant indicators so that R&D performance evaluation suitable for government-funded research institutes can proceed. A suitable performance evaluation model was presented based on the surveyed indicators. Based on the presented performance evaluation model, the importance was analyzed to calculate the weight for each indicator of the performance evaluation model. Methods: The method applied in this study presented a performance evaluation model based on the organizational performance evaluation cases of advanced overseas countries. By using the AHP(Analytic Hierarchy Process) technique, the weight of each indicator of the performance evaluation model was studied. Results: As a result of examining the indicators necessary for the evaluation model, focusing on overseas cases, 13 evaluation items were derived. A weight was calculated for the importance of the study results. And the scientific/technical research results showed the highest excellence. Conclusion: Key indicators of performance evaluation suitable for government-funded research institutes were derived and presented through detailed modeling in three stages. A realistic model that can objectively evaluate the performance of government-funded research institutes was proposed using the AHP technique.

• Health Policy and Management
• /
• v.27 no.2
• /
• pp.121-127
• /
• 2017

The effort to measure and improve the quality of healthcare is a common health policy issue worldwide. Korean Value Incentive Programme is one of that effort, but some concerns exist. Compared to pay for performance program in other countries, it measures healthcare quality with relatively narrow performance domain using a small number of clinical indicators. It was designed without involving hospitals and other key stakeholder, and program participation was mandated. Highest and lowest performers get bonus and penalty using relative ranking. As a suggestion for development, the direction for quality management at the national level should be given first. Therefore the philosophy or strategy for quality improvement should be reflected to the program. And various domains and indicators of healthcare quality should be developed with active communication with healthcare providers. The evaluation method is necessary to be changed to provide achievable goal to the healthcare providers and attract quality improvement.

• IE interfaces
• /
• v.21 no.1
• /
• pp.96-108
• /
• 2008

This paper proposes the systematic design approach for developing the evaluation indicators that evaluate the candidate proposals in the national defense core-technology R&D projects. To improve the validity and fairness of the evaluation indicators, the existing evaluation process in a military and a public sector are surveyed and also the existing evaluation system of the core-technology R&D programs for the national defense is analysed and discussed. A new system for the evaluation indicators is designed by using the axiomatic design, factor analysis and the analytic hierarchy process. It is expected that the proposed evaluation indicators contribute to enhance the fairness and the reliability of the evaluation process for the proposal of the national defense core-technology R&D projects.

• Journal of Korean Society on Water Environment
• /
• v.29 no.4
• /
• pp.531-539
• /
• 2013

In order to apply a water quality indicator as a certain target pollutant, the indicator should have the representability of an index for the management of Total Maximum Daily Loads (TMDLs). Scientific groundwork and treatment technologies also should be provided for the application of the indicator. This study analyzed the applicability of major water quality indicators for target pollutants. The results showed that four water quality indicators of TOC, T-N, SS & T-Coli can be considered as target pollutants besides existing BOD and T-P. These indicators can be applied with the preparations such as essential basic data, pollution load estimation framework as well as legal criteria setting when the need is raised. As the importance of TOC, which is considered as a replacement of BOD, is emphasized, technical and institutional terms are being prepared in order to determine TOC as another target pollutant in the near future. It could be considered to combine TOC with BOD for the time being during the $3^{rd}$ stage of TMDLs in view of the present conditions for the management of TOC. TOC can be the most effective index for the organic matter and help to be managed more systematically in the waterbodies where rivers and lakes are mutually connected.

• Safety and Health at Work
• /
• v.14 no.1
• /
• pp.31-42
• /
• 2023

Background: This study analyzes the linear and non-linear effects of the hard and soft dimensions of job quality on the overall health of wage workers. It also examines the congruence or fit between the hard and soft job quality on the overall health of wage workers. Methods: This study measured thirty indicators that constitute job quality and reduced the indicators into twelve sub-dimensions of job quality using reflective factor analysis. In addition, this study derived two dimensions of job quality from the twelve subdimensions, namely the hard and soft job quality using formative factor analysis. This paper applied the response surface analysis to analyze the congruence effect between the two dimensions of job quality. Results: A logarithmic relationship was found between the dimension of hard job quality and the worker's overall health. This study also verified that the congruence effect between the two dimensions of job quality does not exist, and the combined effect of job quality is lower when the two dimensions of job quality are at the same level than the effect when either level of job quality is high or low. Conclusions: Although hard and soft job quality has independent positive effects on the overall health of wage workers, the two dimensions of job quality are not congruent or not in harmony with each other. This incongruence between hard and soft job quality, together with a higher impact of hard job quality, suggests that the role of soft job quality on overall health is relatively limited.

• Journal of Korean Society on Water Environment
• /
• v.25 no.4
• /
• pp.606-614
• /
• 2009

To evaluate the biological water quality, diatom-based biological indices (DAIpo and TDI) were examined in the Sum-River and the Dal-stream. Having BOD concentrations below $2mg{\cdot}L^{-1}$ in most sites, water quality of both rivers was good. The DAIpo and TDI values ranged from 29.8 to 91.4 and from 38.7 to 93.0 respectively. From the biological water quality assessment, DAIpo and TDI for both rivers displayed fair to fairly poor water quality levels. However, the two indices showed more polluted conditions than expected from the BOD vlaues. In addition, DAIpo, having wider range of differences, appears to be more sensitive to the change in water quality when compared to TDI values. Statistical analysis using principal component analysis showed that Nitzschia palea and Diatoma vulgare might not be the appropriate indicators due to their low correlations with other indicators.

• Journal of Korean Academy of Nursing
• /
• v.28 no.1
• /
• pp.17-25
• /
• 1998

This study was done to evaluate the quality of clinical nursing care using the variables of structure, process, and outcome and to analyze the relationship between the variables. This study also explored which variables are validating indicators to evaluate the quality of nursing care. The results analyzed by multiple regression showed that, generally structural variables did not contribute to the variance in outcome scores, but process variables of nursing care contributed significantly to the outcome variable of patient satisfaction. A combination of structure and process variables explained outcome variables more than structural variables alone. Also, patient satisfaction and hospital preference were significantly related to each other. Therefore, if nursing quality evaluation relies solely upon on structural variables such as number of available nurses and workload, it would be inaccurate because process variables of nursing care are strongly related to outcome variables and the two categories of structure and process variables helped to strengthen the relationships. Thus, it is important to focus on variables of structure, process, ant outcome together in evaluating nursing care quality.