• International Area Studies Review
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• v.16 no.3
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• pp.3-25
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• 2012

This study is to look at the relationship of entrepreneurship(innovativeness, risk-taking), the learning competence, environmental factors(the domestic market hostility, the speed of technological change) and export performance in international new ventures(INVs). In addition, the integrated model is constructed for the purpose of analysis of the moderating effects of environmental factors. Through the existing investigation, nine hypotheses are set up. PLS(Partial Least Square) analysis method is used to sample of 115 INVs. Analysis, the two elements of entrepreneurship influenced the positive(+) in the learning competence and export performance. And the relationship of learning competence and export performance is significant. In the moderating effects, only the domestic market hostility has a significant moderating effects between the learning competence and innovativeness. The results of this research shows that innovativeness influence the learning competence playing a positive role in the performance in the domestic market is higher. This point illustrates the practical implications of the importance of innovation in learning empowerment.

• Journal of Korea Port Economic Association
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• v.31 no.4
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• pp.209-225
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• 2015

A freight forwarder plays an important role in global trade and logistics by connecting worldwide nodes such as shippers, ports, and airports. Most freight forwarders in Korea are small and do not provide a sophisticated and professional service. This study aims to develop a strategy for Korean freight forwarders to the world-class 3PLs which they have to establish the strategy on how shippers select their freight forwarders. We conducted a higher-order factor analysis using the PLS-SEM techniques on the SmartPLS program to confirm the importance and significance of each factor, while considering relevant previous research. The findings suggested that shippers chose their freight forwarders for international logistics activities primarily by the reliability and forwarder service factors. Therefore, freight forwarders in Korea have to strengthen confidence and widen their service to shippers in order to become leading logistics companies.

• Journal of the Korean Regional Science Association
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• v.32 no.1
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• pp.83-103
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• 2016

This study aims to analyze the determinants of residential location choice for the inter-urban migrants in the Seoul metropolitan area. In doing so, we have built a discrete choice model, using household sample data from the 2010 Korea Population and Housing Census. We classified households, which made a intra-urban movement during the last five years, into four groups: 1) movers from Seoul (central city) to Gyunggi-Incheon (suburban), 2) movers from Gyunggi-Incheon to Seoul, 3) Intra-Seoul movers, and 4) intra-Gyunggi-Incheon movers. The analysis findings can be summarized as follows. First, significant differences in the determinants of residential location choice were found among different types of movers. Second, movers from Gyunggi- Incheon to Seoul were likely to choose small housings with fewer rooms, indicating that their housing choices were forced rather than voluntary due to high housing prices in Seoul. Third, all types of movers have a high preference for the neighborhood with a good accessibility by public transit including subway. Lastly, neighborhood amenity was also an important attracting factors for the intra-urban migrants in Seoul.

• The Journal of Society for e-Business Studies
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• v.21 no.4
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• pp.119-136
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• 2016

Precedent studies revealed that success of IT project strongly depends on the competency of PMO(project management offices), however, there are only few studies which show the importance of PMO competency. In this study, we will suggest an evaluation model of IT PMO competency using the Pentagon Model which is a tool to assess the performance of project organization, and the Analytic Hierarchy Process. We classified effect factor of PMO competency into 25 items in 5 fields such as Structure, Technology, Culture, Interaction, Social Relations and Networks based on pentagon model, also analysis of criticality between the effect factors was conducted by AHP. The study result shows 3 factors of Structure were included in the top 10, while 2 factors of Technology, Culture, Interaction were included separately. In terms of Social Relations and Networks, only 1 factor was included in the top 10. Therefore Structure of PMO should be aggressively considered for the successful IT project.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2870-2881
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• 2014

In this study, I empirically analyzed the factors affecting export performance with domestic ICT companies. I set up 3 variables - companies' factors, marketing factors and factors of export supporting system - as the factors affecting export performance, based on findings of precedent studies; and I set up non-financial performance as a dependent variable. As a result of analysis, I found out that companies' factors(market orientation of CEO, competitiveness in export, experience of export) and marketing factors(diversification of overseas market, barriers to marketing), among the variables affecting export performance, were the variables affecting non-financial performance, set up as the export performance; but the factors of awareness, availability and difficulty, set up as the detail factor among factors of export supporting system, do not affect non-financial performance.

• The Journal of Korean Association of Computer Education
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• v.20 no.6
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• pp.83-94
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• 2017

The purpose of this study is to analyze factors affecting elementary school students' computational thinking and SW education attitude using a 3-level multi-level models. The results of this study are as follows: First, 'Computer at home', 'SW competition participation experience', 'SW education satisfaction', and 'SW awareness' have a statistically significant effect on the initial value of computational thinking while 'SW period of education' and 'SW education experience at after school' have a statistically effect on the change rate of computational thinking. Second, 'SW awareness', 'SW education satisfaction' and 'gender' have a positive effect on the initial values of SW education attitude whereas 'SW period of education' has a slight negative influence on the change rate of SW education attitude.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.479-487
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• 2015

The purpose of this study was to examine the factors affecting Obesity-Stress among women in their twenties. The research design for this study was a descriptive survey design using a convenience sampling. Data collection was done using self-report questionnaires with 216 women located in M city. Pearson correlation coefficients and Hierarchical multiple regression with the SPSS Win 18.0 Program were used to analyze the data. In the hierarchical multiple regression analysis, Perceived body shape and BMI significantly predicted. A result of examining the correlation between stress and obesity Stress and the variables, Appearance Orientation,(r=.386, p=<.001) Self-Esteem(r=.324, p=<.001) Body Evaluation(r=-453, p=<.001), Body Appearance Satisfaction(r=-.560, p=<.001). hierarchical multiple regression step 3 shows that variables explained 54.1%. As a result on the basis of, This will require a variety of training programs provided in order to reduce obesity stress.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.135-142
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• 2020

The purpose of this study is to analyze the effectiveness of university convergence curriculum using CIPP model. With 758 data surveys of professors and students participating in K University's convergence education, the analysis of differences according to group characteristics and the factors affecting performance recognition and course satisfaction were analyzed. As a result of analysis, first, class activity(CA) was the highest (M=3.85), and coursework design(CD) was the lowest (M=3.35), and there were significant differences in the course objectives, course content, and class activities according to the characteristics of the group. Second, the factors affecting the performance recognition and course satisfaction of the convergence curriculum were needs analysis, coursework design, learner activity, performance recognition, and course satisfaction. In conclusion, it suggests that from the planning stage, it should be designed to reflect the needs of professors and students, and to improve satisfaction and performance recognition with novel contents and active teaching and learning activities. This study can be used as basic data for improving the quality of the convergence curriculum.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.289-316
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• 2024

This study aimed to develop and validate a research model to investigate how the service quality of public libraries, where a 3-dimensional service quality model was applied, impacts user satisfaction and loyalty. We collected 353 valid responses through a survey targeting public library users across 21 locations, considering various regional and library-specific characteristics. Our analysis revealed that physical environment quality (PQ), interaction quality (IQ), and outcome quality (OQ) of service quality influence user satisfaction (US). Additionally, outcome quality (OQ) of service quality impacts user loyalty (UL), and user satisfaction (US) affects user loyalty (UL). We also found that quality improvement is a leading factor for user satisfaction, user satisfaction is the primary factor of user loyalty, and the perception of service quality directly and indirectly affects user satisfaction and loyalty. We concluded that continuous research should be actively conducted to respond to the evolving needs of public library users.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.6
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• pp.126-139
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• 2011

In the traditional four-step travel demand models, each step is sequentially conducted following the model estimation at the previous step. The accuracy of the following model is partly dependent on whether the model at the former stage was properly established or not. Therefore, trip generation, which is the first step in this conventional model, has great effects on the modeling process and forecasting results. Linear regression models for trip generation of Seoul Metropolitan Area might increase the forcasting errors, since a variety of land-use characteristics are not considered. Hence, in this study, zonal factors such as socioeconomic and land use variables are included to improve the elaboration of trip generation. Comparing the %RMSE with the existing models, which contain bigger errors in the zones highly based on the secondary and tertiary industries than residence-based, the trip generation models including those variables seem more appropriate overall.