• Health Policy and Management
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• v.18 no.1
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• pp.43-62
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• 2008

The purpose of this study is to evaluate the causal relationship among health care criteria in Korean National Mental Hospitals, using Malcolm Baldrige National Quality Award(MBNQA). The survey instrument consists of 92 Questions from the seven the MBNQA health care criteria. Structural Equation Modeling (SEM) is used to analyze the empirical data and estimates the path coefficients among the seven categories. The result of this study indicates that Leadership drives Foundation and Direction, which influence on Systems that creates Results. Conclusively, among 18 hypotheses, 15 are statistically significant.

• Journal of Korean Society for Quality Management
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• v.39 no.2
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• pp.337-348
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• 2011

To implement total quality management(TQM), firms and institutions have strategically used quality awards models. In this paper we analyzed the national quality awards of G-20 members such as United States, Europe, Japan, Canada, Australia and Korea. There are three main points to analysis; First, "which type of model is good for Korea?", even though Korea already has adopted MBNQA model. Second, "Are the core values really different from each models?". And third, "Is there any difference in the criteria structure and value points system?" This study aims to design a National Quality Award which is good for the Korean companies and organizations. After analyzing the current quality awards models, we propose some suggestion about core value setting Korean-specific criteria development and value points system change.

• Proceedings of the Safety Management and Science Conference
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• 2005.05a
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• pp.129-135
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• 2005

This paper proposes the interated and balanced project management system for software and IT by considering BSC, MBNQA, ISO 9001, Six Sigma, CMM and SPICE. This system can be extended to assess the various project management practices.

• International Journal of Quality Innovation
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• v.3 no.2
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• pp.84-92
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• 2002

In this Paper, We propose new performance measure model in Logistic Industry. New model has been learned by key points of PZB model and advanced structure of MBNQA which has cause measure points and effect measure points. The Structure of new performance measure model is Cubic Model which is reflected with time. We try to verify this model apply advance logistic company.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.1
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• pp.87-101
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• 2018

The purpose of this study is to develop the measuring instruments for evaluation criteria for Malcolm Baldrige National Quality Award(MBNQA), suitable for ICT Industries, and to analyze the cause-effect relationship between those criteria through aforementioned instruments. MBNQA is formed with seven categories: Leadership, Strategic planning, Focus on patients, other customers and markets, Measurement, analysis and knowledge management, Human resource focus, Process management and Results. As excluding the Human Resource Focus category, this study empirically examined the cause-effect relationship among six categories. In order to empirically examine the research model, this study calculated Cronbach's alpha and reliability index, thus examined the reliability and executed Exploratory Factor Analysis. Furthermore, Average Variance Extracted(AVE) is used to verify the discriminant validity. Lastly, the hypothesis testing was made complete through significance test on the paths between variables. The result of this study shows that both leadership and social responsibility have direct cause-effect relationship with Measurement, analysis and knowledge management, Human resource focus, Process management and also that this relationship has direct impact on Human resource focus, Measurement, analysis and knowledge management as well, consequently exerting influence on the result through Process management, Finance and Market data.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.91-112
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• 2019

The IoT environment has led to explosive growth of existing enterprise data, and how to utilize such big data is becoming an important issue in the management field. In this paper, major factors affecting the decisions of companies to utilize big data have been studied. And also, the effect of big data utilization on the management quality is studied empirically. During this process, we have studied the difference according to the award of Korean national quality award. As a result of the study, we confirmed that the five factors such as cost from technology, organization and environment perspective, compatibility, company size, chief officer support, and competitor pressure are key factors influencing big data utilization. Also, it was confirmed that the use of big data for management activities has an important influence on the six management quality factors based on MBNQA, and that the management quality level of Korean national quality award companies is relatively high. This paper provides practical implications for companies' use of big data because it demonstrates for the first time that big data utilization has an impact on management quality improvement.

• Journal of the Korea Safety Management & Science
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• v.8 no.4
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• pp.239-247
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• 2006

This paper is to propose new features and models for process innovation after classifying in three categories ; conventional six sigma, lean six sigma and 3rd generation six sigma. First considering two project types which are bottom-up and tod-down, DMAIC process is linked up with QC story 15 steps. Secondly, I present Koreanized lean six sigma model using Japanese production technology and principles. Lastly, this paper also depicts a new 3rd generation six sigma model utilizing MBNQA management quality system.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.11a
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• pp.174-180
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• 2006

This study to find out key ingredients(KIs) of Six Sigma. Potential ingredients are selected from previous studies of success factors and ingredients of Six Sigma and TQM, and criteria of quality awards like MBNQA, EFQM, Deming and Korean National Quality Award(KNQA) are classified into 11 categories based on experts' opinion and affinity analysis. Irrelevant or ineffective potential ingredients are discarded by using factor analysis for the questionnaires answered by champions, MBBs and BBs of 90 Korean companies that have more than 3 years of experience in implementing Six Sigma. In addition, from the factor analysis, 3 factors are derived for each respectively except the managerial achievement category. Those 11 categories and 30 factors are defined as Six Sigma KIs.

• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.1
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• pp.101-121
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• 2009

The research literature presents that Total Quality Management (TQM) has been successfully embraced by firms for strategic and operational management in the last decades. However few studios analyze the role of TQM practices in the R&D environment. The objective of this study is to evaluate TQM practices implemented in manufacturing-based R&D organizations with respect to R&D performance. Our research model is primarily based on Malcolm Baldrige Criteria for Performance Excellence framework, including three moderating variables (industry type, organization size, quality management system certification), to propose hypotheses on the relationships between leadership practice, management practice and R&D performance. Results of canonical correlation analysis using data from 130 R&D organizations show that in aggregate leadership practice is positively related to management practice which is, in turn, positively related to R&D performance. These relationships are, however, affected by the moderating variables. Our results imply that TQM practices can be strategically adopted in the R&D organization.

• The Journal of Society for e-Business Studies
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• v.2 no.1
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• pp.131-151
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• 1997

The CALS/EC is the world-wide accepted concept and its application domain is being expanded continuously throughout the private and public sectors. One of the essential points for realization of CALS/EC is to promote the domestic system integration(SI) industry. This paper describes the present status of the domestic SI companies and the clues to solve their facing problems. In order to evaluate the status of the current SI technology, the MBNQA(Malcom Baldridge National Quality Award) is adopted. The surveyed results show that the average levels of 14 SI companies over 7 evaluation criteria turn out to be 30% through 40% point. The major projects' activities of the SI companies on the information systems over the areas of trade, science and technology, industrial manpower, health and welfare, national security, etc are explained. Also, the competitive power of the SI companies is also discussed. As a target sample, the Korea Telecom(KT) CALS model project is described in terms of its Progresses and Problems. Furthermore, the strategic plans and detailed research items are proposed to resolve on-going issues.