• Korea Journal of Hospital Management
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• v.11 no.4
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• pp.82-103
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• 2006

The purpose of this study is to analyse statistically the relation between medical service quality and managerial performance. And then the way of analysis is the regression analysis that independent variable is service quality, dependent variable is the volume of revenue, the number of patients and the rate of beds utility, and dummy variable is the number of beds, ownership and region. The sample hospitals were the 113 hospitals on general hospitals more than 300beds which were consisted of 20 public hospitals, 41 corporate hospitals and 52 college hospitals, and also distributed 67 hospitals on big city and 46 hospitals other city. The sample hospitals were selected from the Korean Hospital Association and the data of the year 2003 and 2004. The collected data was analyzed using the SPSSWIN 10.0 version, and the study hypothesis was tested using regression analysis. The findings of this study are summarized as follows. First, as a result of analysing hypothesis 1. In the study of the relationship between the service quality and the revenue, it was verified that the more service quality in last year became the more revenue in the year. But the dummy variable, ownership and region, rarely related to hospital revenue. Therefore it means that the more service quality is connected to the more revenue on the large number of beds hospitals. Second, as a result of analysing hypothesis 2 & 3. In the study of the relationship between the service quality and the number of patients, it was verified that the more service quality in last year became the more outpatients in the year. But there was no verified to inpatients. It seems to be the reason why a hospital has operated the fixed number of beds approved by the public office. So there are no free to expand beds according to the number of inpatients as much as inpatients are increasing. Third, as a result of analysing hypothesis 4 & 5. In the study of the relationship between the service quality and the rate of beds utility, it was verified that the more service quality in last year became the shorter of average stay of length in the year. Especially it has influenced much more on a hospital which was the large number of beds, the corporate and the college, but the region. But it was denied that the more service quality became the more the beds turnover. As a result of this study, it shows that the service quality in the last year has importantly influenced on a hospital managerial performance in the year. Estimating the service quality of each hospital, most patients have selected the hospital they want. And the hospital need to keep the number of patients for the proper management. So this result of the study means that a hospital must improve the service quality for keeping efficient management.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.139-153
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• 2017

Corporate bankruptcy can cause great losses not only to stakeholders but also to many related sectors in society. Through the economic crises, bankruptcy have increased and bankruptcy prediction models have become more and more important. Therefore, corporate bankruptcy has been regarded as one of the major topics of research in business management. Also, many studies in the industry are in progress and important. Previous studies attempted to utilize various methodologies to improve the bankruptcy prediction accuracy and to resolve the overfitting problem, such as Multivariate Discriminant Analysis (MDA), Generalized Linear Model (GLM). These methods are based on statistics. Recently, researchers have used machine learning methodologies such as Support Vector Machine (SVM), Artificial Neural Network (ANN). Furthermore, fuzzy theory and genetic algorithms were used. Because of this change, many of bankruptcy models are developed. Also, performance has been improved. In general, the company's financial and accounting information will change over time. Likewise, the market situation also changes, so there are many difficulties in predicting bankruptcy only with information at a certain point in time. However, even though traditional research has problems that don't take into account the time effect, dynamic model has not been studied much. When we ignore the time effect, we get the biased results. So the static model may not be suitable for predicting bankruptcy. Thus, using the dynamic model, there is a possibility that bankruptcy prediction model is improved. In this paper, we propose RNN (Recurrent Neural Network) which is one of the deep learning methodologies. The RNN learns time series data and the performance is known to be good. Prior to experiment, we selected non-financial firms listed on the KOSPI, KOSDAQ and KONEX markets from 2010 to 2016 for the estimation of the bankruptcy prediction model and the comparison of forecasting performance. In order to prevent a mistake of predicting bankruptcy by using the financial information already reflected in the deterioration of the financial condition of the company, the financial information was collected with a lag of two years, and the default period was defined from January to December of the year. Then we defined the bankruptcy. The bankruptcy we defined is the abolition of the listing due to sluggish earnings. We confirmed abolition of the list at KIND that is corporate stock information website. Then we selected variables at previous papers. The first set of variables are Z-score variables. These variables have become traditional variables in predicting bankruptcy. The second set of variables are dynamic variable set. Finally we selected 240 normal companies and 226 bankrupt companies at the first variable set. Likewise, we selected 229 normal companies and 226 bankrupt companies at the second variable set. We created a model that reflects dynamic changes in time-series financial data and by comparing the suggested model with the analysis of existing bankruptcy predictive models, we found that the suggested model could help to improve the accuracy of bankruptcy predictions. We used financial data in KIS Value (Financial database) and selected Multivariate Discriminant Analysis (MDA), Generalized Linear Model called logistic regression (GLM), Support Vector Machine (SVM), Artificial Neural Network (ANN) model as benchmark. The result of the experiment proved that RNN's performance was better than comparative model. The accuracy of RNN was high in both sets of variables and the Area Under the Curve (AUC) value was also high. Also when we saw the hit-ratio table, the ratio of RNNs that predicted a poor company to be bankrupt was higher than that of other comparative models. However the limitation of this paper is that an overfitting problem occurs during RNN learning. But we expect to be able to solve the overfitting problem by selecting more learning data and appropriate variables. From these result, it is expected that this research will contribute to the development of a bankruptcy prediction by proposing a new dynamic model.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.497-502
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• 2006

The main purpose of this study was to identify the problems and the effectiveness of public rental housing constructed by private construction company. To accomplish this, the current situation and the residents' perception were compared between public rental housing and private rental housing through the analysis of existing data collected in March 2005 by Gallup Korea and submitted to Korea Housing Corporate. The results showed that public rental housing contributed to the housing stability for the low income households. Most of the respondents were satisfied with their current housing. The burden of housing cost such as amount of Chunse deposit, however, still needs to be lessened

• International Commerce and Information Review
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• v.11 no.3
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• pp.311-335
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• 2009

This study investigates the factors barrier the performance of Korean manufacturing firms in China. Also an empirical data use the field survey of Korean manufacturing firms in China. as a result, First, we find that employment-cost factor, that is rising labor costs, a change of occupation is an effect the performance of Korean manufacturing firms in China. Second, business beginning year and by 7 region factor is very significant on the performance of Korean FDI firms in china. And then, Korean corporate investment in China is a desirable form of long-term investment shall be determined. also we know that regions of China, differentiated investment approach is effective. finally, The result shows that FDI to China is need of the long term plan, and In actual use, these FDI should be applied flexibly in china business environment.

• Korean Journal of Child Studies
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• v.22 no.3
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• pp.183-193
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• 2001

This study explored the feasibility of various applications of Developmentally Appropriate Practice (DAP) by examining the relationship between teachers' belief in DAP and their creative roles. Subjects were 203 teachers of public, private, national, and corporate day care centers in Pusan. Data analysis was by ANOVA. Results showed that with the exception of fluency, teacher's degree of belief in DAP correlated with differences in all the sub-categories of creative roles, including indulgence and perseverance, flexibility, originality, and elaboration. Conclusions were that teachers could enhance their creative roles through inclusion of DAP in teacher education.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.63-66
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• 1997

This paper is concerned with the current status and the prospectus of environmental investments in the manufacturing sector. A questionnaire survey was made to identify the concentrated fields of the investments. The collected data were analyzed by a multidimensional scaling method in order to provide a reasonable interpretation on the major factors which characterize the current situation and the prospectus of the investments as well as the relative position of each respondent company in a spatial map. The result tells us most respondents tend to concentrate their attention on end-of-pipe solutions due to technological tangibility and economic efficiency, etc.

• Journal of the Korean Operations Research and Management Science Society
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• v.35 no.1
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• pp.67-81
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• 2010

In Schumpeterian competition, superior profit arises from successful innovation created by firm's R&D strategy. Such R&D strategy diverges as time passes. This study examines empirically the effects of diverged forms of R&D strategy such as technological assets, technological diversity, and technological similarity on firm performance in Korean pharmaceutical industry. With the financial and patent data of 96 firms for 14 years from 1994 to 2007, we measured variables. And then we performed panel analysis with 3 years lag between dependent variable and other variables. The result shows that firm performance increases as technological asset and technological diversification increase. But technological similarity positively affects on firm performance in opposition to our hypothesis. We interpret and discuss these results and highlight the theoretical and practical implications of our findings.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.2
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• pp.95-104
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• 2018

The purpose of this study is to investigate the impact of narcissism on employees' social media addiction and how it influences their job satisfaction and organizational commitment. And this study explores if perceived organizational support can moderate the relationship between narcissism and social media addiction. For this, this study collected data from 285 employees in Korean companies through a survey method and uses SPSS 18.0 for hierarchical regression analysis in the hypothesis test. First, organizational politics increases mood modification, withdrawal and tolerance among the sub-factors of social media addiction. Second, each phenomena of social media service addiction such as salience, withdrawal and tolerance decrease each relevant factors of job satisfaction and organizational commitment. Third, withdrawal and tolerance among the sub-factors of social media addiction play the mediating roles between narcissism and each relevant factors of job satisfaction/organizational commitment. Finally, perceived organizational support decrease the effect of narcissism on mood modification, withdrawal and tolerance among the sub-factors of social media addiction. This study provides some of managerial implications to corporate executives who try to manage organizational attitudes.

• International journal of advanced smart convergence
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• v.7 no.2
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• pp.86-94
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• 2018

This study focuses on presenting the IT program module provided by real - time forecasting and database of the voluntary disclosure quality measure in order to solve the problem of capital cost due to information asymmetry of external investors and corporate executives. This study suggests a model of the algorithm that the quality of real - time voluntary disclosure can be provided to all investors immediately by IT program in order to deliver the meaningful value in the domestic capital market. This is a method of generating and analyzing real-time or non-real-time prediction models by transferring the predicted estimates delivered to the Big Data Log Analysis System through the statistical DB to the statistical forecasting engine.

• Journal of Distribution Science
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• v.12 no.5
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• pp.33-40
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• 2014

Purpose - This paper aims to review cold chain management, especially in the pharmaceutical industry, to explore the cold chain process of delivering temperature-sensitive pharmaceutical products, and to identify areas for further development. Research design, data, and methodology - The paper, based on literature review and corporate analysis, reviews the development and status of the cold supply chain system, including its important role in the pharmaceutical industry. Results - Logistics in this field requires more stages than are typically needed. Due to the unique characteristics of the market, few companies can provide the services; currently, only few global companies with large networks and high technologies can afford to do so. Expanding pharmaceutical markets to meet global demand will require cold chain development, especially in "pharmerging" markets. Conclusions - Cold chain is a highly sensitive market in terms of products being carried within the chain that itself is a complex system. However, at the same time, it is a niche market with new opportunities. Hence, a sound cold chain infrastructure is needed to satisfy companies, governments, and customers for both commercial and public reasons.