• Journal of Korean Society for Quality Management
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• v.44 no.2
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• pp.309-320
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• 2016

Purpose: The purpose of this study was to investigate if companies' efforts of environmental management practices have positive effect on the companies' performance in the first stage of study. In the second stage, we tried to confirm whether the degree of companies' making efforts on cost leadership strategy and quality leadership strategy function as moderate variable on relationship between environmental management practices and performance. Methods: The collected data through survey were analysed using multiple regression model in the first stage of the study and moderate regression model in the second. Results: The results of this study are as follows; environmental management practices have positive effect on corporate performance. Moreover, much effort on quality leadership strategy has limited significant moderate effect on relationship between environmental management practices and performance, while much effort by companies on cost leadership strategy does not have significant moderate effect on the relationship between the two variables. Conclusion: Manufacturing and services companies in Korea need to make effort for environmental management practices to improve corporate performance. Moreover, if that efforts are combined with quality leadership strategy, they can expect synergy effect with environmental management practices for performance improvement.

• Journal of Korean Society for Quality Management
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• v.41 no.1
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• pp.39-52
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• 2013

Purpose: The purpose of this study was to investigate if purchasing companies' efforts of supplier development activities to supplier companies have positive impacts on the purchasing companies' performance as the first step. In the second step, we tried to confirm if the concept of Supply Chain Corporate Social Responsibility activities and Coexistence activities take the roles of moderate variable on relationship between supplier development and three performances respectively. Methods: The collected data through survey were analysed using multiple regression for the first step of the study and moderate regression for the second one of it. Results: The results of this study are as follows; supplier development efforts effect on all three performances positively. Moreover, Supply Chain CSR has significant moderate effect on relationship between supplier management and corporate performances, while Coexistence does between supplier management and logistics performances. In the case of relationship between supplier management and production performances, both Supply Chain CSR and Coexistence show significant moderate effect. Conclusion: Manufacturing companies in Korea need to make effort of supplier development in selective way when they want to practice Supply Chain CSR and Coexistence concurrently considering strategies and objectives.

• Korean Business Review
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• v.20 no.2
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• pp.135-145
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• 2007

We defined quality management practice factor and workforce management factor and confirm their conformance, and examine the former affect positively on production performance. Moreover, we examine whether workforce factor have an moderate effect on 'quality management practice facor - performance' relationship, using moderate regression. As the result of empirical study on nationwide manufacturing companies, workforce management factor have an moderate effect on the relationship which means need for investment on two factors.

• Journal of Korean Society for Quality Management
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• v.41 no.4
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• pp.611-621
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• 2013

Purpose: The purpose of this study was to investigate if companies' efforts of quality management practices have positive impacts on the companies' performance as the first stage. In the second stage of this study, we tried to confirm if the degree of companies' making efforts on customization strategy and R&D strategy function as moderate variable on relationship between quality management practices and companies' performance. Methods: The collected data through survey were analysed using multiple regression for the first stage of the study and moderate regression for the second one of it. Results: The results of this study are as follows; quality management practices have positive effect on performances. Moreover, much effort on customization strategy has significant moderate effect on relationship between quality management practices and corporate performance. On the other hand, much effort of companies on R&D strategy has significant moderate effect on the relationship between the two as well. Conclusion: Manufacturing and services companies in Korea need to make effort of quality management practices in order to improve corporate performance. Moreover, if that efforts are combined with customization strategy and R&D strategy, they will expect synergy effect on performance improvement.

• International Journal of Quality Innovation
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• v.10 no.1
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• pp.107-113
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• 2009

Our goal of this study is to confirm whether manufacturing companies' practicing JIT production system have positive effect on production performances and to confirm that manufacturing companies' practicing SPC shows positive moderate effect on the relation between practicing JIT and their production performances. Based on empirical study to manufacturing companies nationwide, we can conclude that taking JIT practices of sample companies has positive effect on production performances and, moreover, practicing SPC has positive moderate effect on the relation between JIT practices and production performances. These conclusion represents managerial implication that concurrent practicing JIT and SPC could generate more improved production performances.

• Korean Management Science Review
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• v.27 no.3
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• pp.99-115
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• 2010

We classified quality management practices of manufacturing companies into 'Infra' factor and 'Process' factor which were introduced based on existing literatures and previous studies related to quality management. It was our first objective to confirm its conformance in Korean manufacturing industry, and to examine the two factors effect positively on production performance. Moreover, we tried to examine whether JIT and workforce management have an moderate effect on 'Infra and Process factors-performance' relationship, using moderate regression. As the result of empirical study on nationwide manufacturing companies, we had the results that the classification between Infra factor and Process factor in quality management practices was valid in Korean manufacturing companies, and that the two factors gave performances positive effect. Moreover, our secondary analysis showed that JIT had an positive moderate effect on the Infra factor while workforce management on the Process factor. With these results, we have an interpretation that manufacturing companies which aim to enhance short term performances have to concentrate their effort and investment on Process factor and, on the other hand, ones which aims to improve long term performances on Infra factor.

• Korean Business Review
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• v.22 no.2
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• pp.111-137
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• 2009

The purpose of this study is to examine the moderating effect of emotional intelligence in the relationship between transformational leadership and organizational citizenship behavior. To achieve this research purpose, theoretical and empirical studies related to transformational leadership, organizational citizenship behavior, and emotional intelligence were carried out simultaneously. A field survey was undertaken through questionnaire sampling a population of public organization in Chungchungnamdo. The established hypotheses related to transformational leadership, organizational citizenship behavior, and emotional intelligence were verified by the hierarchical regression analysis using SPSS. The result of this research are as followers : First, hypothesis1 proposed that emotional intelligence will be moderate the effect of charisma on organizational citizenship behavior. The hierarchical regression analysis revealed that moderation term was insignificant. The interaction term for charisma and emotional intelligence had a insignificant and positive relationship with organizational citizenship behavior. Therefore, hypothesis1 was not supported by the data. Second. hypothesis2 stated that emotional intelligence will be moderate the effects of inspirational motivation on organizational citizenship behavior. Hypothesis2 The result of the hierarchical regression analysis show a insignificant interaction between inspirational motivation and emotional intelligence on organizational citizenship behavior. Therefore, hypothesis2 was not supported by the data. Third, hypothesis3 stated that emotional intelligence will moderate the effect of intellectual stimulation on organizational citizenship behavior. The result of the hierarchical regression analysis show a significant interaction between intellectual stimulation and emotional intelligence on organizational citizenship behavior. Therefore, hypothesis3 was supported by the data. Fourth, hypothesis4 proposed that emotional intelligence will moderate effect of individualized consideration on organizational citizenship behavior. The hierarchical regression analysis revealed that the interaction term for individualized consideration and emotional intelligence had a significant and positive relationship with organizational citizenship behavior. Therefore, hypothesis4 was supported by the data. This study revealed that emotional intelligence moderate the relationship between intellectual stimulation, individualized consideration, and organizational citizenship behavior. It concludes that organizational citizenship behavior varies with coalignment of transformational leadership and emotional intelligence.

• Communications for Statistical Applications and Methods
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• v.19 no.4
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• pp.537-546
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• 2012

In this paper, for analyzing binary data, Poisson regression with offset and logistic regression are compared with respect to the power via simulations. Poisson distribution can be used as an approximation of binomial distribution when n is large and p is small; however, we investigate if the same conditions can be held for the power of significant tests between logistic regression and offset poisson regression. The result is that when offset size is large for rare events offset poisson regression has a similar power to logistic regression, but it has an acceptable power even with a moderate prevalence rate. However, with a small offset size (< 10), offset poisson regression should be used with caution for rare events or common events. These results would be good guidelines for users who want to use offset poisson regression models for binary data.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.489-494
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• 2015

The purpose of this paper is to analyse outcomes of Korean Pro-basketball games using regression models. Both Classic Fuzzy Regression Model and Fuzzy Regression Model applying linguistic variables were used to meet the purpose of the paper. In General Regression Analysis, in which the results of games are expressed and analyzed through score differences, a regression model is proposed considering influential variables for the score differences of the two teams. In Fuzzy Regression Analysis, the results are sorted into six different literal expressions, 'win with large margin, win with moderate margin, win with narrow margin, defeat with narrow margin, defeat with moderate margin, and defeat with large margin'. Athletic performances and team work of each teams were expressed in fuzzy number to analyse how much athletic performances and team work affect results of games. This paper referred back to 2013-2014 season data provided by KBL(Korean Basketball League) and professional columns on Korean basketball analysis.

• Journal of the Earthquake Engineering Society of Korea
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• v.22 no.2
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• pp.77-86
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• 2018

This study develops an empirical prediction equation of spectral acceleration responses of earthquakes which can induce structural damages. Ground motion records representing hazards of low-to-moderate seismic regions were selected and organized with several influential factors affecting the response spectra. The empirical equation and estimator coefficients for acceleration response spectra were then proposed using a robust nonlinear optimization coupled with a regression analysis. For analytical verification of the prediction equation, response spectra used for low-to-moderate seismic regions were estimated and the predicted results were comparatively evaluated with measured response spectra. As a result, the predicted shapes of response spectra can simulate the graphical shapes of measured data with high accuracy and most of predicted results are distributed inside range of correlation of variation (COV) of 30% from perfectly correlated lines.