• Korea Journal of Hospital Management
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• v.25 no.4
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• pp.48-59
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• 2020

Purposes: The purposes of this study is analysis of business performance in national university hospitals in Korea. Methodology: Data from 2010 to 2019 were collected from balance sheet, income statement, and annual reports in 11 national university hospitals. The dependant variables are business performance which are operating margin to total assets, operating margin to gross revenue, and net income to gross revenue. The independent variables are the number of bed, hospital location, opening, liquidity, stability, and activity. Findings: In recent years, activity has been shown to have a lot of influence on management performance. National university hospitals increase profitability by using resources as efficiently as possible. The short-term debt and fixed assets have been increased rapidly in recent years. It was found that management performance has been increased through active investment using financial leverage. Practical Implications: Based on these results, this study will be the basic data for efficient management of national university hospitals.

• Health Policy and Management
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• v.21 no.2
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• pp.263-278
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• 2011

As the competition among hospitals become intensified, hospital management is required to carry out more effective marketing and positioning of the hospital. Successful positioning of a hospital requires the knowledge about how the concrete attributes inherent in the medical service associated with the customer values that customers seek eventually in the medical service. Thus, it is required for hospital management to understand which hospital attributes should be emphasized in order to improve the customer values. The hierarchical structure of service attributes can provide valuable information about effective positioning and advertising. To obtain such knowledge, we employed the order analysis technique as an objective means-end chain method. Order analysis is useful for identifying the causal structure among attributes. Thus, we can examine the underlying causal relationship and eventually the vertical structure of hospital selection attributes. For this study, we conducted a survey to obtain 370 responses for the analysis. The result suggests that hospital management had better increase the scale of hospital, improve the services of health care providers, and modernize the hospital facilities and equipments so as to enhance customer values and eventually to lead them to recommend the hospital to others. Our findings would provide the valuable information for hospital management to develop the more effective hospital positioning and marketing strategies.

• Korea Journal of Hospital Management
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• v.26 no.1
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• pp.1-16
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• 2021

Purpose: The purpose of the study is to identify the influence of the hospital mobile app service quality on consumer satisfaction, involvement, and re-use intention of consumers who have experience in hospital mobile app service. Methodology: The survey was conducted on 230 users. The collected data were analyzed using correlation analysis, multiple regression analysis, and the Process Model in Hayes(2013). Findings: (1)The usability, reliability, and medical information provision among the service quality factors of hospital mobile apps had an effect on reuse intention, and consumer satisfaction partially mediated. (2)The usability and the provision of medical information were partially mediated by the involvement, which also affected the intention to reuse. (3)Only reliability showed an age-moderated effect. In reliability and re-use intent, age was a moderated mediating effect that controlled the effect of consumer satisfaction. Practical Implications: The results of this study provide initial data of mobile app services centered on hospitals and prove the type of consumer usage. It suggests that it can be used to attract potential consumers of hospitals and strategies to increase the use of mobile apps.

• The Korean Journal of Health Service Management
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• v.10 no.1
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• pp.13-26
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• 2016

Objectives : The aim of this study was to investigate whether there is a difference in the factors affecting the financial performance and profitability before and after the specialty hospital designation and thereby identifying the differentiated significance of the financial performance of specialty hospitals. Methods : Based on the year 2011, the analysis period was divided into the pre-specialty hospital designation (2007-2010) and post-specialty hospital designation (2011-2014), and the data were pooled according to the respective analysis period and analyzed by descriptive statistics and regression analysis. Results : The difference in the financial factors that affected the financial performance and profitability before and after the specialty hospital designation was discovered, and a financial performance factor different from prior studies was found. Conclusions : This study identified improved outcomes in financial performance due to the specialty hospital designation and the factors that affect profitability in terms of the finance of specialty hospitals.

• Korea Journal of Hospital Management
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• v.17 no.1
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• pp.79-112
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• 2012

The purpose of this study is to examine the differences of profitability based on the analysis of business and medical service performances of four hospitals in Incheon area with similar size. and to compare hospitals with the best and the worst performances and analyze the factors behind the differences. The differences could be caused by differences in medical service statistics, number of staff, and financial results, etc. The data was acquired through the homepage of the National Tax Service(financial statements for the fiscal year 2009) and the Medical Record Association of Incheon(medical service statistics for the years 2008 and 2009) along with questionnaire survey to the hospitals(personnel data for the year 2009). The results of the study are as follows. Medical profits to medical revenues ratio for the hospitals(referred as Hospital A, B, C, and D) shows, in order, C(8.2%), A(8.0%), B(7.8%), and D(7.4%). However, net income to medical revenues ratio shows otherwise: C(8.5%), D(5.8%), A(3.0%), and B(0.6%). Hospital B shows a high medical profit to revenue ratio but the lowest net income to revenue ratio due to large interest expenses. The leverage ratio of Hospital B is the highest (419.6%), resulting in a very low interest coverage ratio(1.1). On the other hand, Hospital C shows favorable results in both profit ratios, with 8.2% and 8.5% each. Hospital C has the lowest leverage ratio(53.0%) and the highest interest coverage ratio(34.9). Therefore, the results show Hospital C has the best performance while Hospital B the worst. The two hospitals(B and C) show similar results in certain areas and big differences in other areas. The area that has the biggest influence on financial results turns out leverage ratio. Hospital B shows 'very good' to 'good' results in terms of medical service statistics in general. However, the leverage ratio is too high and the liquidity ratio too low, resulting in a very low profit ratio. The results of this study have some limitations in terms of generalization as only four hospitals in Incheon area were selected for the study, resulting in a deficiency in the representativeness of the sample. Further studies with bigger sample size and deeper analysis are expected in this area.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.315-324
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• 2022

The goal of this study is to understand better the relationship between hospital bed occupancy rate and cost rigidity as a proxy for the degree of hospital bed congestion, as well as the relationship between the risk of changes in hospital bed occupancy rate and congestion cost, targeting public hospitals. As public hospitals for analysis, we selected hospital projects from the Public Enterprises Survey Reports published by the Department of Public Enterprises, Ministry of Finance, and obtained unbalanced panel data consisting of 1,505 hospitals and 15 years, totaling 12,595 hospitals and years. The analysis revealed that the risk of changes in the bed occupancy rate increases the degree of cost rigidity and leads to a decrease in the variable cost ratio; furthermore, an increase in the bed occupancy rate decreases the degree of cost rigidity and leads to an increase in the variable cost ratio. These findings suggest that although public hospitals are taking managerial actions to avoid congestion costs, congestion costs resulting from higher bed occupancy rates have not been eliminated. The regression analysis results show that even if congestion costs arise as the occupancy rate increases, they are covered by the increase in revenue associated with the increase in the occupancy rate.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.115-120
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• 2022

This research aims to investigate the antecedents of career growth and its impact on employee performance. The research design is quantitative with a causal method. The sample used is 242 respondents working in different hospitals in Banten Province and were selected through the snowball sampling technique. The analytical method used to examine the research model is PLS-SEM. The analysis result shows that work environment and training have an impact on increasing career development and hospital employee performance. Career development can also directly be an antecedent in improving the performance of hospital employees, but only has a moderate effect in mediating the influence of work environment and training on the employees' performance in the hospital. Based on these findings, hospital management in Banten Province must create and maintain a comfortable working environment for employees, offer training specific to each employee's line of work to help them improve their abilities, and create a system for career planning that takes into account each employee's potential.

• Health Policy and Management
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• v.15 no.4
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• pp.81-109
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• 2005

According to many recent studies suggesting that cash flow analysis method tends to be more effective than traditional financial index analysis method to predict corporate bankruptcy, this study applies the cash flow analysis method to hospital business to identify the significant variables which can distinguish between superior hospitals and bankruptcy hospitals. The author analyzed recent 3 years, i.e. from the year of 2000 to the year of 2002, financial statements of 31 bankrupt hospitals In 2003, and the same number of superior hospitals through using Multiple Discriminant Analysis and Logit Analysis. The results are belows; First, the study releases that Logit Analysis is more likely to be effective than Multiple Discriminant Analysis. Second, this research also shows that traditional financial index analysis method is more superior compare to cash flow analysis method for hospital bankruptcy predict model. Finally, this study suggest that the significant variables, which can distinguish superior hospitals from bankrupt hospitals, are Operating/Current Liabilities$(Y_2)$, CFO/Equity$(Y_5)$ for cash flow analysis method and Net Worth to Total Assets Ratio$(X_1)$, Quick Ratio $(X_3)$, Return on Assets$(X_6)$, Growth Rate of Patient Revenues$(X_{16})$ for traditional financial index analysis method.

• Health Policy and Management
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• v.10 no.2
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• pp.1-21
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• 2000

This study reviewde various parametic and nonparametic method for forexasting hospital closures in Korea. We compared multivariate discriminant analysis, multivartiate logistic regression, classfication and regression tree, and neural network method based on hit ratio of each model for forecasting hospital closure. Like other studies in the literture, neural metwork analysis showed highest average hit ratio. For policy and business purposes, we combined the four analytical method and constructed a foreasting model that can be easily used to predict the probabolity of hospital closure given financial information of a hospital.

• Korea Journal of Hospital Management
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• v.3 no.1
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• pp.165-191
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• 1998

The objectives of this research are 1) to identify different motivation of choice for each National University hospitals 2) to examine the factors influencing the patients' satisfaction, 3) and to investigate that the patients' satisfaction effects the hospital re-choice and recommendation on seven National University's hospitals. The data for this analysis were collected by questionnaire survey. Totally 852 interviews were conducted. The major statistical methods used for the analysis are paired t-test, factor analysis, x2-test, and multiple regression. We find that satisfaction level is a function of not only the quality of medical service but also non-medical service. The main results of research are follows: 1) The most important factor of hospital choices is 'the trust and fame as National University hospitals'; 2) Overall satisfaction of inpatients is turned to be influenced by the doctor's services, nurse's services, environment, and convenience. And overall satisfaction of outpatients is also found to be influenced by the waiting time for lab test; 3) Highly satisfied patients preferred to revisit and to recommend to others.