• Journal of Korean Society of Transportation
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• v.25 no.4
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• pp.57-66
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• 2007

According to the rapid economic growth and the escalation of recreational tourism activities due to the change of job and working patterns, currently various traffic problems often occur in tourist areas. As tourist traffic, contrary to general traffic, is not regional but rather from outside the area of interest, it is hard to grasp the traffic situation surrounding the tourist area. Furthermore, since the traffic is concentrated during a limited tourist season, it is difficult to examine and solve the problem. In this study, in order to test the feasibility of introducing a traffic transfer system to reduce congestion in tourist areas, the authors considered the differences in traffic congestion between typical and tourist seasons and designed a willingness to pay model. The willingness to pay amount for a shuttle bus fare is assumed as 1,430 Won and 1,650 Won is assumed for a transfer parking charge. These amounts were slightly above the current bus fare in the study area, but many people thought that the introduction of a traffic transfer system would help to relieve the traffic congestion approaching the tourist area and to develop tourism resources. As the willingness to pay appeared high from the persons used in this study, it was indirectly confirmed that the introduction of a traffic transfer system would be a step in the right direction.

• Journal of Christian Education in Korea
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• v.62
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• pp.187-225
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• 2020

The purpose of this study is to develop a assessment tool that can be used to measure core competencies by describing operational definitions of the six core competencies of KBU and constructing sub-factors accordingly. The followings are the results of this study. First, this study analyzed previous research on KBU 6 competencies and set operational definitions through Bible verses describing KBU core competencies. Second, the sub-elements according to the definition of core competency were selected through previous research and the drafting of assessment tools for each sub-element was developed. And then, confirmed the validity of the tool as a suitable tool for KBU, through a review of professors who are fluent in KBU's founding philosophy and policies. The assessment tools were revised based on feedback from the professors. Third, in order to validate the assessment tool, the researchers conducted a survey on students in the second semester of 2018. The data was collected, the reliability was checked based on the data, the validity was verified through EFA and CFA, and the final assessment tool was confirmed. In conclusion, this study is meaningful in developing the KBU core competency assessment tool, and it is expected that will be able to systematically manage the KBU competency of students.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.3
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• pp.67-76
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• 2013

In this study we surveyed service satisfaction for the start-up support program and measured the relative importance of the factors that influence service satisfaction. The five service factors(physical facilities, finance and accounting, human resources, marketing, product development) were used to measure service satisfaction. Typically, the relative importance of predictors is assessed by simply comparing their standardized regression coefficients. However, when the predictors are correlated, regression coefficients cannot be used to explain variance shared by two or more predictors. The dominance analysis used by many researchers in recent years to measure the relative importance of predictor variables. In this article, we applied it in satisfaction research for the start-up support program. The results obtained by the dominance analysis are compared with the results obtained by multiple regression analysis. And satisfaction and relative importance of the five factors are analyzed by entrepreneurship motivation. These findings will contribute to the marketing research field relating to service satisfaction. Service satisfaction for the start-up support program can improve based on this study.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.887-894
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• 2018

An electric vehicle is emerging as an alternative to the response of global climate change and sustainability. However, an Electric vehicle has not been popular due to the constraints such as its price or technical limitations. In order to analyze the effect of purchasing electric vehicles, this study conducted a binary logistic regression model that demonstrates the relation between purchasing and influencing variables. Variables which have high correlation were excluded from the model through the correlation analysis to prevent multicollinearity. Socio-economic variables such as the number of owned vehicles, sex, ages are not significant. On the other hand, Variables related to prices, charging and policy are found to have a significant to effect on the purchase of electric vehicles. In accordance with the model estimated result, it seems to be necessary to improve the charging incentives, or to provide electric car information and to expand opportunities for experience electric vehicles. The result is also expected to be helpful for spreading electric vehicles and formulating policies.

• Land and Housing Review
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• v.13 no.1
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• pp.55-65
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• 2022

This paper investigates the distinct characteristics of freehold and leasehold households living in the seven largest cities and the other areas. We employ the two-stage logit regression analysis to identify the marginal effects of wealth and income after controlling for the other one. We document the following results. First, households with more net wealth are more likely to reside in their own houses, regardless of living areas. Second, the pure income effect after controlling for wealth and other variables lowers the tendency of freeholders to live in the seven largest cities while increasing the tendency to live in the other areas. Furthermore, the income effects reduce the tendency to live in the former regions. Our results suggest that the pure income effects enhance preferences for a better living environment (e.g., larger spaces, better school districts, etc.), whereas the wealth effect increases the likelihood of freeholds.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.61-68
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• 2023

As global growth has gradually declined, the Customer to Customer (C2C) market has expanded. And the growth potential of the C2C market is getting higher than in the past. Therefore, in this study, we examined what factors affect the price of used products within the C2C market. In order to examine the factors, we used data provided by Kaggle, which is a data science platform, and Mercari, Japan's largest C2C community marketplace platform. In research methods, the characteristics of the products were selected such as product categories, product status, shipping costs, product brands, and the data were analyzed using a linear mixing model to predict the price of C2C used goods. As a result, the variable that most affected the price was the shipping cost. When the seller paid for the shipping cost, the price would drop more than if the buyer had to pay. This study has been shown that the shipping costs is also an important factor in the used market, which can provide practical implications for customers of real transactions.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.313-319
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• 2024

The purpose of this study was to examine the mediating effect of emotional intelligence on college students' sense of community and psychological well-being. Accordingly, a survey was conducted targeting 267 college students attending universities in the Busan and Gyeongnam regions. For data analysis, the SPSS 21 program was used to check the general characteristics of the survey subjects, the mean, standard deviation, skewness, and kurtosis of the main variables. Correlation analysis was performed to check multicollinearity among the main variables, and mediation effects were examined. For this purpose, regression analysis was conducted according to the three-step verification method proposed by Barron and Kenny.The results of this study were as follows. First, college students' sense of community was found to have a significant impact on their psychological well-being. Second, the sense of community perceived by college students was found to have a significant impact on emotional intelligence. Third, emotional intelligence was found to have a significant impact on psychological well-being. Lastly, emotional intelligence was confirmed to have a partial mediating effect in the relationship between college students' sense of community and psychological well-being. Lastly, emotional intelligence was confirmed to have a partial mediating effect in the relationship between college students' sense of community and psychological well-being. Accordingly, we strive to find and implement various ways to increase the sense of community that is closely related to the emotional intelligence skills and social participation of college students in the special situation of college, so that college students can form and sustain a happier and more satisfying life. We will have to help you do it.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.141-156
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• 2013

Researchers in welfare services of local government in Korea have rather been on isolated issues as disables, childcare, aging phenomenon, etc. (Kang, 2004; Jung et al., 2009). Lately, local officials, yet, realize that they need more comprehensive welfare services for all residents, not just for above-mentioned focused groups. Still cases dealt with focused group approach have been a main research stream due to various reason(Jung et al., 2009; Lee, 2009; Jang, 2011). Social Security Information System is an information system that comprehensively manages 292 welfare benefits provided by 17 ministries and 40 thousand welfare services provided by 230 local authorities in Korea. The purpose of the system is to improve efficiency of social welfare delivery process. The study of local government expenditure has been on the rise over the last few decades after the restarting the local autonomy, but these studies have limitations on data collection. Measurement of a local government's welfare efforts(spending) has been primarily on expenditures or budget for an individual, set aside for welfare. This practice of using monetary value for an individual as a "proxy value" for welfare effort(spending) is based on the assumption that expenditure is directly linked to welfare efforts(Lee et al., 2007). This expenditure/budget approach commonly uses total welfare amount or percentage figure as dependent variables (Wildavsky, 1985; Lee et al., 2007; Kang, 2000). However, current practice of using actual amount being used or percentage figure as a dependent variable may have some limitation; since budget or expenditure is greatly influenced by the total budget of a local government, relying on such monetary value may create inflate or deflate the true "welfare effort" (Jang, 2012). In addition, government budget usually contain a large amount of administrative cost, i.e., salary, for local officials, which is highly unrelated to the actual welfare expenditure (Jang, 2011). This paper used local government welfare service data from the detailed data sets linked to the Social Security Information System. The purpose of this paper is to analyze the factors that affect social welfare spending of 230 local authorities in 2012. The paper applied multiple regression based model to analyze the pooled financial data from the system. Based on the regression analysis, the following factors affecting self-funded welfare spending were identified. In our research model, we use the welfare budget/total budget(%) of a local government as a true measurement for a local government's welfare effort(spending). Doing so, we exclude central government subsidies or support being used for local welfare service. It is because central government welfare support does not truly reflect the welfare efforts(spending) of a local. The dependent variable of this paper is the volume of the welfare spending and the independent variables of the model are comprised of three categories, in terms of socio-demographic perspectives, the local economy and the financial capacity of local government. This paper categorized local authorities into 3 groups, districts, and cities and suburb areas. The model used a dummy variable as the control variable (local political factor). This paper demonstrated that the volume of the welfare spending for the welfare services is commonly influenced by the ratio of welfare budget to total local budget, the population of infants, self-reliance ratio and the level of unemployment factor. Interestingly, the influential factors are different by the size of local government. Analysis of determinants of local government self-welfare spending, we found a significant effect of local Gov. Finance characteristic in degree of the local government's financial independence, financial independence rate, rate of social welfare budget, and regional economic in opening-to-application ratio, and sociology of population in rate of infants. The result means that local authorities should have differentiated welfare strategies according to their conditions and circumstances. There is a meaning that this paper has successfully proven the significant factors influencing welfare spending of local government in Korea.

• Journal of dental hygiene science
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• v.10 no.5
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• pp.307-314
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• 2010

This study aimed to measure such features of emotional responses perceived by students as learning climate, department living stress, and perceived helplessness to analyze their effects on major satisfaction among students at the department of dental hygiene; to do this, a survey was conducted with 431 students, regardless of college year, who were at the department of dental hygiene in four colleges in Gyeonggi Province, Daejeon, and Chungcheong Province. An existing emotion scale which went through the generalization process was used to draw a multiple model in the combination form in order to collect emotional factors affecting college students' satisfaction with their major, which had existed as a hypothetical proposition, and make overall interpretation of relevance through the explainable, predictable modeling process by measuring emotional factors and phenomenal description of the level of general perception. The results showed that major satisfaction was very significantly affected by emotional features among students at the department of dental hygiene, which needs to be treated as an important factor to enhance expertise related to major learning and improve students' living.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.1-18
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• 2019

This research measured and visualized the spatial dependency and the spatial heterogeneity of the small business in Cheonan-si, Asan-si with $100m{\times}100m$ grids based on global and local spatial autocorrelation. First, we confirmed positive spatial autocorrelation of small business in the research area using Moran's I Index, which is ESDA(Exploratory Spatial Data Analysis). And then, through Getis-Ord $GI{\ast}$, one kind of LISA(Local Indicators of Spatial Association), local patterns of spatial autocorrelation were visualized. These verified that Spatial Regression Model is valid for the location factor analysis on small business commercial buildings. Next, GWR(Geographically Weighted Regression) was used to analyze the spatial relations between the distribution of small business, hourly mobile traffic-based floating population, land use attributes index, residence, commercial building, road networks, and the node of traffic networks. Final six variables were applied and the accessibility to bus stops, afternoon time floating population, and evening time floating population were excluded due to multicollinearity. By this, we demonstrated that GWR is statistically improved compared to OLS. We visualized the spatial influence of the individual variables using the regression coefficients and local coefficients of determinant of the six variables. This research applied the measured population information in a practical way. Reflecting the dynamic information of the urban people using the commercial area. It is different from other studies that performed commercial analysis. Finally, this research has a differentiated advantage over the existing commercial area analysis in that it employed hourly changing commercial service population data and it applied spatial statistical models to micro spatial units. This research proposed new framework for the commercial analysis area analysis.