• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.234-242
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• 2018

This descriptive study aims to examine the factors that influence nursing students' adaptation to clinical practice. Data was collected from 180 nursing students between April 26 and May 4, 2018. A self-reporting questionnaire was employed, which comprised of 17 questions regarding transition shock, 24 questions about social support, two questions regarding the levels of preparedness for clinical practice, and 14 questions about the degree of adaptation to clinical practice. Collected data was analyzed using t-test, one-way analysis of variance, and stepwise multiple regression, as well as by calculating the Pearson correlation coefficient. Subjects' degree of adaptation to clinical practice had a negative correlation with their transition shock. The degree of adaptation had a positive correlation with the levels of preparedness for clinical practice (r = 0.35) and the sub-variables of social support in the domains of friends (r = 0.24), parents (r = 0.32), and professors (r = 0.38). The smaller the transition shock (B = -0.409) and the greater the levels of preparedness (B = 0.766), professorial support (B = 0.228), and parental support (B = 0.163), the higher the degree of adaptation to clinical practice. Transition shock had the greatest influence on the degree of adaptation to clinical practice felt by subjects, followed by their level of preparedness for clinical practice and professorial support. Hence, to increase the degree of adaptation to clinical practice, not only should individual nursing students be better prepared to conduct clinical practice and professors provide greater support, but also there needs to be measures implemented to reduce transition shock.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.146-156
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• 2020

The purpose of this study was to verify the effect of team process and affect state on members' organizational commitment. To this end, a valid questionnaire was received from 241 employees working at a company, and the collected questionnaire analyzed the relationship through regression analysis. As a result, we found that all of the team process factors - the conversion process, the execution process, and the interpersonal process - had a meaningful positive effect on organizational commitment. The conversion process had a positive effect on positive-activity and positive-inactivity - which is the types of the members' affect state. The interpersonal process had a positive effect on positive-activity and positive-inactivity, and negative effect on negative-inactivity and negative-activity. And the positive-activity had an intermediation effect on the relationship between team process and organizational commitment. Through this study, the significance of this study can be found in that it suggested the importance of building and managing the team process in order to maximize the efficiency of human resource management in the organization and improve the team effectiveness.

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.348-358
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• 2016

This study reveals a change in the growth cycle of metropolitan with analyzing the population of Seoul metropolitan area and identifies the characteristics of each urban area. For this, the exponential growth of the city, Roxy index, which in recent years been actively studied in Japan, has applied. As a result, the entire metropolitan area and central areas, and the southern region are about to move to the accelerating centralization phase. In the phase of suburbanization are highly likely to turn into the new phase of regression phase. In addition, the northern and eastern suburbs are currently in progress with the accelerating decentralization phase and are expected to be converted in the decelerating decentralization phase. Through this implication in Seoul metropolitan area, it is necessary to carry out the policy responses about regional maintenance by connecting to the changes in direction and speed of cycle phase of city. The results of this study can be used as basic data to determine the long-term future growth and decline of the metropolitan area.

• Environmental and Resource Economics Review
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• v.29 no.2
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• pp.171-194
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• 2020

We revisit the impact of oil shocks on the Korean economy and examine how this impact varies depending on a business cycle. First, we estimate the probability of a recession through a logistic probability distribution, and correct the probability to match business cycles announced by the Korea National Statistical Office. We set up a STVAR model to analyze the response of macroeconomic variables to oil shocks according to business cycles. We find that oil shocks during the recession have a negative effect on GDP in the mid- and long-term, but during the expansion, GDP does not show a statistically significant response to oil shocks. We presume that this finding is associated with the factors of both the increase in demand for consumption and the increase in current account during the economic boom. Also, we find that the impact of oil shocks on the price level was also observed differently in terms of the persistence of inflation by business cycle. These results highlight the importance of an application of a regime switching model, which has been widely used in energy economics in recent years.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2306-2312
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• 2009

Todays, telecommunications companies tried to transform CDMA users into 3G service, WCDMA users. However, the WCDMA market growth is postponed by the lack of difference between CDMA and WCDMA service, customer's switching barriers such as loyalty program and handset, etc. Therefore, in this study, we tried to identify the relationship between the customer's satisfaction to the WCDMA services and the intention to uses using the WCDMA users' data. Additionally, we set the customer's attitude of technology adoption as a moderating variable between the customer's satisfaction to the WCDMA services and the intention to use. We expect that our results will be useful in planning the strategies of WCDMA service.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1D
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• pp.119-127
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• 2008

Nowaday, the local governments eager to change their transport system aiming for public transport oriented one. However, it is more important to change the land use system in the catchment areas of public transport in order to enhance its usage sustainably for the long run. This research aims to seek maximal spatial extent of the catchment areas of the Seoul Metropolitan Subway in consideration of its urban spatial structure in order to accommodate the potential users living around the subway stations. For this task the empirical data of the household travel survey for the Seoul Metropolitan Area conducted 2002 were analysed. It was founded that the walking access times to the subway stations, which can represent their spatial extents, are related to their travel times, but differently according to their given positions in the urban spatial structure. The characteristics of subway commuters also affect them with the conditions. It is to be expected that the results of this research can contribute to an enhancement of its usage by applying to land-use policies of the catchment areas.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.2
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• pp.81-94
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• 2005

The purpose of this study is to test the applicability of landscape metrics for quantifying and monitoring the landscape structure in the Geumho River watershed, which has undergone heavy environmental disturbances. Landscape metrics were computed from land cover maps(1985, 1999) for the forest patches. The number of variables were reduced from 12 metrics to 3 factors through factor analysis. These factors accounted for above 91% of the variation in the original metrics. We also determined the relative effects of land development on the changes of forest landscape structure using multiple linear regression analysis. At the forest patches, the conversion of forest to urban areas and agriculture resulted in increased fragmentation. Patch area and patch size decreased. and patch density increased as a result of the conversion of forest to agriculture($R^2=0.696$, p<0.01). The heterogeneity of patch size and complexity of patch shape mainly decreased as a result of the conversion of forest to urban areas($R^2=0.405$, p<0.01). The density of core area and edge showed the tendency increase, but there was no relationship with the conversion of forest to urban area and agriculture The future research will be needed to analyze correlations between landscape structures and specific environmental and socioeconomic landscape functions.

• Journal of the Korean Data and Information Science Society
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• v.27 no.3
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• pp.689-700
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• 2016

We study estimation and inference of the joint conditional distributions of bivariate longitudinal outcomes using regression models and copulas. For the estimation of marginal models we consider a class of time-varying transformation models and combine the two marginal models using nonparametric empirical copulas. Regression parameters in the transformation model can be obtained as the solution of estimating equations and our models and estimation method can be applied in many situations where the conditional mean-based models are not good enough. Nonparametric copulas combined with time-varying transformation models may allow quite flexible modeling for the joint conditional distributions for bivariate longitudinal data. We apply our method to an epidemiological study of repeatedly measured bivariate cholesterol data.

• Journal of the Korea Society for Simulation
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• v.16 no.2
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• pp.45-54
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• 2007

In this article, we propose a different modeling approach, which aims at the simulation optimization so as to meet the design specification. Generally, Multi objective optimization problem is formulated by dependent factors as objective functions and independent factors as constraints. However, this paper presents the critical(dependent) factors as objective function and design(independent) factors as constraints for the selection of design factors directly. The objective function is normalized far the generalization of design factors while the constraints are composed of the simulation-based regression metamodels fer the critical factors and design factor's domain. Then the effective and fast solution procedure based on the pareto optimal solution set is proposed. This paper provides a comprehensive framework for the system design using the simulation and metamodels. Therefore, the method developed for this research can be adopted for other enhancements in different but comparable situations.

• The Korean Journal of Applied Statistics
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• v.11 no.2
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• pp.335-350
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• 1998

X11ARIMA is established on the basis of X11 which is one of smoothing approach in time series area and this procedure was introduced by Bureau of Census of United States and developed by Dagum(1975). This procedure had been updated and adjusted by Dagum(1988) with 174 economic index of North America and has been used until nowadays. Recently, X12ARIMA procedure has been studied by William Bell et.al. (1995) and Chen. & Findly(1995) whose approaches adapt adjusting outliers, Trend-change effects, seasonal effect, arid Calender effect. However, both of these procedures were implemented for correct adjusting the economic index of North America. This article starts with providing some appropriate and effective ARIMA model for 102 indexes produced by national statistical office in Korea; which consists of production(21), shipping(27), stock(27), and operating rate index(21). And a reasonable smoothing method will be proposed to reflect the specificity of Korean economy using several moving average model. In addition, Sulnal(lunar happy new year) and Chusuk effects will be extracted from the indexes above and both of effects reflect contribution of lunar calender effect. Finally, we will discuss an alternative way to estimate holiday effect which is similar to X12ARIMA procedure in concept of using both of ARIMA model and Regression model for the best fitness.