• Journal of Digital Convergence
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• v.14 no.3
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• pp.115-126
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• 2016

The purpose of this study is to identify Hierarchical Culture of construction enterprises, Empowerment, and Organizational Effectiveness through empirical research. To perform this study, we carried out a survey targeting executives of construction companies in Seoul, metropolitan area, and non-metropolitan area. For analyzing, SPSS Statistical Techniques, Reliability analysis, Factor analysis, Multiple Regression analysis were used. The results of the study are as follows. First, the Hierarchy of the Culture affects significantly positive (+) on Organizational Effectiveness. Second, Hierarchical Culture affects the significantly positive (+) to the Empowerment. Third, Hierarchies and Cultural Empowerment was found to significantly affect the positive (+) on Organizational Effectiveness. Based on the conclusions, Hierarchical Culture of the domestic construction industry has a significant impact on Self-determination and the goal of consciousness among employees. In addition, this is helpful in Job Performance and Organizational Commitment.

• Monthly Korean Chicken
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• v.19 no.2
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• pp.49-53
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• 2013

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.1-10
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• 2023

Along with the government's policy to encourage youth entrepreneurship, each university is making great efforts to promote entrepreneurship, and university entrepreneurship programs can be said to be the most important part of supporting and activating college students' entrepreneurship. In order to increase interest in and participation in entrepreneurship and entrepreneurship programs, it is necessary to take an in-depth look at students' perceptions of entrepreneurship and entrepreneurship programs. Therefore, this study used the effectiveness hierarchy model to explore the perceptions of college students at each stage and to identify bottleneck factors that hinder participation in entrepreneurship programs. For this purpose, focus group interviews and in-depth interviews were conducted using samples with different levels of interest and participation in entrepreneurship and entrepreneurship programs, and bottleneck factors at each stage of the effect hierarchy model were presented. The research results complement entrepreneurship research that was focused on quantitative research, and add important practical implications by approaching the study with a particular focus on local university cases.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.65-75
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• 2015

This paper analyzes the determinants of wage for the college and university graduates utilizing both individual-level and industry-level variables. We note that wage determination has multi-level structure in the sense that individual wage is influenced by individual-level variables (level-1) and industry-level (level-2) variables. Then, the assumption that individual wage is independent in the classical regression is violated. Therefore, this paper utilizes the hierarchical linear model (HLM). The major results are the followings. First, the multiple correspondence analysis including level-1 and 2 variables reveals that both level 1 and level 2 variables affects individual wages judging from the fact that the values of level 1 and level 2 variables differ across the different level of individual wage groups. Second, the decision tree analysis including level-1 and 2 variables shows that the most influential variable in wage determination is industry-level wage and the next is industry-level working hour, ages and sex in the decling order in. This suggests that the utilization of the HLM is appropriate since the characteristics of industry is important in determining the individual wage. Third, it is shown that the HLM model is the best compared to the other models which do not take level-1 and level-2 variables simultaneously into account.

• Spatial Information Research
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• v.21 no.5
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• pp.83-91
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• 2013

As ICTs are more advanced, in the current Smart Society that can be characterized by the terms of real-time, mobility and customization, the area of Geospatial Information is required to react to the needs of the society in more practical ways. Because Geospatial Information is getting more accepted as one of the very basic social infrastructure for everyday life activities in all sectors of life. In accordance, the legal basis of convergence Geospatial Information services are described on Geospatial Information Industry Support Law(Article 2, Item 7 & Article 4 Item 5). But it is required to come up with more detailed and practical definition of convergence GIS with more detailed supporting policies. In this context, this study aims at investigating what the needs of Geospatial Information services are in the Smart Society, and suggesting the policy directions and realization strategies of convergence GIS based on spatial hierarchy from global to local.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.3
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• pp.380-396
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• 2022

In this study, the location and network hierarchy of the seven major test and certification institutions in Korea were analyzed. First, like other APS, the test and certification institutions are concentrated in the metropolitan area, and the spatial spread of the branch is developing. Second, unlike other APS, branches do not accumulate in large cities. It is deeply related to regional economic geography characteristics such as proximity to manufacturers and specificity of regional strategic industries. Third, despite the spatial spread, workers are concentrated in the metropolitan area. Fourth, urban-regions are mainly formed between the metropolitan area of test certification and the Chungbuk(Cheong) area.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.4
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• pp.421-442
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• 2023

This research focuses on the fact that the characteristics of migration types of the youth in non-metropolitan areas vary by region and has the primary objective of comparing and analyzing the differences in determinants of each migration type. First, An exploratory analysis of the migration status and characteristics of the youth in non-metropolitan areas was conducted, and then a hierarchical logit model was used to estimate the determinants of migration types separately. The results showed that the characteristics of migration types vary by region, and each determinant of migration types is composed of different bundles of variables(individual and regional levels). In the future, policies aimed at securing young workforce in non-metropolitan areas will be more effective when they take into account various determinants of migration choices and reflect the regional context.

• Culinary science and hospitality research
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• v.15 no.4
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• pp.227-244
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• 2009

This study was conducted to develop a multiple-item scale for measuring the food service quality in the restaurant industry. For developing the scale, Kelly Repertory Grid Methods were conducted. Collected data of food service quality were analyzed with the reliability analysis and the factor analysis of SPSS 12.0 and the 3rd-order confirmatory factor analysis of LISREL 8.70. The food service quality model of this study is conceptually based on the Brady and Cronin(2001)'s hierarchical approach to the service quality model. The hierarchical model of the food service quality which comprises three constructs of the physical environment quality, the interaction quality and the food quality as a primary dimension. The hierarchical approaches to the food service quality help overcome the limitations of the SERVQUAL model for which some arguments have been made that it lacks a clear division between the dimensions and its subsequent overlapping between them.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.7-15
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• 2021

The purpose of this study is to investigate factors affecting conflict of teachers in school. Researchers selected independent variables in personal, school, and local levels and analyzed their influence on conflict of faculty and staff, students and parents, and educational policy. We used 561 survey responses of teachers working in S City Office of Education and conducted hierarchical multiple regression analysis using SPSS 24.0. For results, we found out that variables such as career in the level of person, homeroom teacher and status in the level of school, and location in the level of region were statistically significant. Researchers suggested possible solutions which can be considered by school district and school officials.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.935-946
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• 2016

In this paper, we analyzed wage determinants of the vocational high school graduates utilizing both individual-level and work region-level variables. We formulate the models in the way wage determination has multi-level structure in the sense that individual wage is influenced by individual-level variables (level-1) and work region-level (level-2) variables. To incorporate dependency between individual wages into the model, we utilize hierarchical linear model (HLM). The major results are as follows. First, it is shown that the HLM model is better than the OLS regression models which do not take level-1 and level-2 variables simultaneously into account. Second, random effects on sex, maester dummy and engineering dummy variables are statistically significant. Third, the fixed effects on business hours and mean wage of regular job for level-2 variables are statistically significant effect individual-level wages. Finally, parental education level, parental income, number of licenses and high school grade are statistically significant for higher individual-level wages.