• Journal of Korean Society for Quality Management
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• v.40 no.2
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• pp.199-210
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• 2012

The objective of this study ware to explore the antecedent and consequences of management quality and to examine the mediating effects of the management quality on the relationship between antecedent and consequences. In order to verify the relationships and mediating effect, data were obtained from 328 employees working in firms at Jinju, Masan, Changwon City were analyzed by using SPSS 12.0. and AMOS 5.0. The findings are as follows: First, antecedent(psychological ownership) was positively related to management quality. Second, there were also positive relationship between management quality and consequences(employee's attitude). Third, there were also positive relationship between psychological ownership and employee's attitude(job satisfaction, organizational commitment). Finally, management quality was a partial mediating effect on the relationship between psychological ownership and employee's attitude. Based on these findings, the theoretical and practical implications and limitations are discussed in conclusion.

• International Journal of Quality Innovation
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• v.7 no.1
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• pp.161-176
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• 2006

The objective of the study was to empirically assess the practice of quality management among employees of Malaysian public hospitals at the district, state and national level hospitals. Comparative analysis on the practice of quality management was made among the three groups of hospitals. Self-administered questionnaire was the main method of data collection. Twenty-three public hospitals throughout Peninsular Malaysia participated in the survey. Practice of quality management was found to be significantly higher in district hospitals than in the national referral centre, which is based in the capital city of Kuala Lumpur. However, there was no significant difference in perception of implementation outcome between the three levels of hospitals. Among the factors of quality management, teamwork was found to be significantly higher in district hospitals than in state hospitals and the national referral centre. Leadership and management commitment was found to be significantly higher in district and state hospitals than in the national referral centre. The effect of organizational structure could have an effect on practice of quality management.

• Journal of Korean Society for Quality Management
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• v.23 no.1
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• pp.64-73
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• 1995

At the time of internationalization, it is inevitable to improve the quality of products to survive the international competition. ISO 9000 series have been recognized by most companies as the quality assurance system. However, it was known to require quite many records and data which need to be controlled and analyzed. The objective of this paper is to present the procedure in establishing the quality information data base which enables a company to easily handle the required records and data for the ISO 9000 series. Examples using the quality information data base are also presented.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.142-148
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• 2006

Data mining is a useful tool for analyzing data from different perspectives and for summarizing them into useful information. Recently, the data mining methods are applied to solving quality problems of the manufacturing processes. This paper discusses the problems of construction of a quality mining system, which is based on the various data mining methods. The quality mining system includes recipe optimization, significant difference test, finding critical processes, forecasting the yield. The contents and system of this paper are focused on the TFT-LCD manufacturing process. We also provide some illustrative field examples of the quality mining system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.3
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• pp.71-78
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• 2011

This parer proposes application of quality costing system in quality improvement area. Cost of quality in quality improvement area provides a valuable of both providing the need for improvement and giving a starting point for project. WQCMS(Web-based Q-Cost Management System) have ability to collect and analyze quality data generated from various different departments in the inside or outside of the enterprise without any limitations, if end-users are able to access wide area network. It provides the capability to integrate quality information from database and to generate various easy analysis reports to management's needs using built-in analysis tool modules with real-time. Web-based quality cost management system to measure the performance of quality improvement activities in the business firms. This paper proposes standard model for quality cost process in quality improvement area.

• Journal of Korean Society for Quality Management
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• v.23 no.4
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• pp.100-112
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• 1995

Data on nearly one hundred thousands of Korean quality circles, registered with KSA(Korean standard association), are classified by regional groups, size, and industry. The classified data are analyzed in order to investigate the actual state of quality circles. Some international comparisons such as managerial objectives for introducing quality circles are also included.

• The Journal of Society for e-Business Studies
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• v.8 no.3
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• pp.117-130
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• 2003

It is not unusual to observe that there Is a great amount of redundant or inconsistent data even within an e-business system such as CRM(Customer Relationship Management) system. This problem becomes aggravate when we construct a system of which information are gathered from different sources. Data quality management is indeed needed to avoid any possible redundant or inconsistent data in such information system. A data quality process, in general, consists of three phases: data cleaning (scrubbing), matching, and integration phase. In this paper, we introduce and categorize data quality operators for each phase. Then, we describe our distance function used in the matching phase, and present a matching algorithm PRIMAL (a PRactical Matching Algorithm). And finally, we present a related work and future research.

• Journal of the Korean Solar Energy Society
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• v.27 no.1
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• pp.19-27
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• 2007

The Data quality management system(DQMS) organizes and helps manage and process time sequence data usually collected in monitoring networks and programs. DQMS places particular emphasis on data qualify while maintaining a highly organized and convenient structure for data. It operates with in a flexible and powerful commercial relational data base environment which can readily link to other software platforms from local spreadsheets to network server. The Korea Institute of Energy Research(KIER) has been solar radiation data since May, 1991 for 16 different locations. KIER's new data is expected to be extensively used by designer and researchers of solar systems in lieu of unreliable old ones. Unfortunately, the quality of the data has not always been properly mentioned. The purpose of this study is to systematically identify errors in such data set using DQMS in an effort to rehabilitate error-ridden old data. DET successfully uncovered solar radiation data that had questionable quality.

• Atmosphere
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• v.22 no.3
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• pp.299-307
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• 2012

This study is aimed to validate errors for detected suspicious temperature data using various quality control procedures for 61 weather stations in the Republic of Korea. The quality control algorithms for temperature data consist of four main procedures (high-low extreme check, internal consistency check, temporal outlier check, and spatial outlier check). Errors of detected suspicious temperature data are judged by examining temperature data of nearby stations, surface weather charts, hourly temperature data, daily precipitation, and daily maximum wind direction. The number of detected errors in internal consistency check and spatial outlier check showed 4 days (3 stations) and 7 days (5 stations), respectively. Effective and objective methods for validation errors through this study will help to reduce manpower and time for conduct of quality management for temperature data.

• 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.