• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.57-73
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• 2015

While many previous studies investigated the effect of operations performance on financial performance, most studies considered only a few performance indicators and ignored the characteristics of industries. Therefore, this study intends to analyze the effect of operations performance on financial performance, by selecting a rather comprehensive operations performance indicators from firms' financial data. In doing so, we used operating efficiency and supply chain performance indicators for operations performance and a firm's profitability and future value indicators for financial performance. For the analysis, we collected 544 firms' operations and financial performance data belonging to eight key industries from the 'Forbes Global 2000'. We first analysed the differences in operations and financial performance among high, medium and low supply chain performance groups based on the quantitative criteria of Gartner's 'Supply Chain Top 25' ranking procedure. Then we analysed the effect of operations performance indicators on financial performance for both entire industry and individual industries, using multiple regression. Based on the results, we provided practical insights into key operations performance indicators to focus on and manage in order to improve financial performance.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.231-239
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• 2021

The purpose of this study is to analyze the effect of risk efficiency, financial decisions, and financial performance on firm value due to advances in financial reporting technology. This research was conducted on all banking sub-sector companies listed on the Indonesian capital market during a period of eight years, namely 2012-2019 which were selected using the purposive sampling method. The advancement of financial reporting technology is measured by two indicators based on the Internet financial reporting approach. Risk efficiency is measured using three indicators with a risk proxy relative efficiency approach using value at risk. Financial decisions are measured by two indicators that represent funding decisions and investment decisions. Financial performance is measured by two indicators with the profitability approach, and firm value is measured by two indicators based on the investor perception approach. The data analysis technique in this study used multivariate analysis with SEM-PLS. The empirical findings of this study are the advances in financial reporting technology, financial decisions, and risk-based efficiency value have a significant effect on firm value, while financial performance does not have a significant effect on firm value. Banking companies reduce risk to achieve efficiency and result in lower profits.

• Korea Journal of Hospital Management
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• v.6 no.2
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• pp.156-172
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• 2001

Financial ratio indicators of the 73 sample hospitals provided by the Korea Hospital Association in 1998-1999, together with the data by the Korea Health Industry Development Institute in 1007, were analysed to identify the financial structure and managerial performance of the profit/loss-making hospitals under the IMF. The major findings of this study were as belows. 1. Among the general characteristics, there was a statistical significance in the hospital location and the number of operating beds between profit-making hospitals and loss-making hospitals. 2. Financial ratio indicators of the profit-making hospitals were better than those of the loss-making hospitals. 3. Financial ratio indicators, including Liquidity, Performance Indicators and Growth Rate Indicators of profit-making hospitals, were better than those of loss-making hospitals except for Turnover Ratios under the IMF economic impasse.

• Health Policy and Management
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• v.18 no.2
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• pp.19-38
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• 2008

Financial ratios are key indicators of an organization's financial and business conditions. Among various financial indicators, profitability, financial structure, financial activity and liquidity ratios are frequently used and analyzed. Using the structural equation modeling(SEM) technique, this study examines the structural causal relationships among key financial indicators. Data for this study are taken from complete financial statements from 142 hospitals that passed the standardization audit undertaken by the Korean Hospital Association from 1998 to 2001 for the purpose of accrediting teaching hospitals. In order to improve comparability, ratio values are standardized using the Blom's normal distribution. The final model of the SEM has four latent constructs: financial activity(total asset turnover, fixed asset turnover), liquidity(current ratio, quick ratio, collection period), financial structure(total debt to equity, long-term debt to equity, fixed assets to fund balance), and profitability(return on assets, normal profit to total assets, operating margin to gross revenue, normal profit to gross revenue). While examining several model fit indices(Chi-square (df) = 178.661 (40), likelihood ratio=4.467, RMR=.11, GFI=.849, RMSEA=.157), the final SEM we employed shows a relatively good fit. After examining the path coefficient of the constructs, the financial structure of the hospital affects the hospital's profitability in a statistically significant way. A hospital which utilizes its liabilities, more specifically fixed liabilities, and makes a stable investment decision for fixed assets was found to have a higher profitability than other hospitals. Then, the standard path coefficients were examined to directly compare the influence of variables. It was found that there were no statistically significant path coefficients among constructs. When it comes to variables, however, statistically significant relationships were found. between. financial activity and. fixed. asset turnover, and between profitability and normal profit to gross revenue. These results show that the observed variables of fixed asset turnover and normal profit to gross revenue can be used as indicators representing financial activity and profitability.

• Journal of Korea Multimedia Society
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• v.24 no.3
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• pp.448-459
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• 2021

In this paper, we propose a method of predicting the next-day stock price fluctuations of 10 KOSDAQ-listed companies in 5G, autonomous driving, and electricity sectors by training SVM, XGBoost, and LightGBM models from macroeconomic·financial market indicators, technical indicators, social interest indicators, and daily positive indices extracted from online news. In the three experiments to find out the usefulness of social interest indicators and daily positive indices, the average accuracy improved when each indicator and index was added to the models. In addition, when feature selection was performed to analyze the superiority of the extracted features, the average importance ranking of the social interest indicator and daily positive index was 5.45 and 1.08, respectively, it showed higher importance than the macroeconomic financial market indicators and technical indicators. With the results of these experiments, we confirmed the effectiveness of the social interest indicators as alternative data and the daily positive index for predicting stock price fluctuation.

• Journal of Korean Academy of Nursing Administration
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• v.19 no.1
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• pp.7-16
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• 2013

Purpose: The purpose of this study was to analysis the financial statements of university hospitals and to apply the results to build nursing management strategies. Methods: Data on the financial statements of university hospitals were collected each hospital's homepage or internet search from February to June, 2010. Financial statements of 11 hospitals were analyzed using the 4 categories of financial ratio analysis method: liquidity, performant, growth and turnover. Results: Overall results showed that the financial status the university hospitals were unstable, and many financial indicators did not meet financial standard ratios. Only 8 financial indicators of total 19 indicators satisfied financial standard ratios. Conclusion: The results of financial statements analysis suggest that nurse managers should develop the blue ocean strategy for diversification of nursing services to improve financial ratios of liquidity, performance, and growth. Using a unit-based just-in-time system for effective supply management would help to increase profits and to decrease costs of hospital by improving financial ratios of turnover.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.273-280
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• 2021

The purpose of this study is to provide implications for fiscal policy by comprehensively examining the relationship between the on-campus retention and university soundness items of four-year private universities in the context of financial contraction of private universities due to suppression of tuition increase. Multiple regression analysis was performed to analyze the correlation of variables and the effect of financial soundness items on accounting indicators using SPSS 25. First, private university's on-campus reservations had an effect on accounting index items. Second, financial soundness items had an effect on accounting index items. Third, the financial condition factors influenced the change of accounting index by the location of the university. Fourth, according to the size of students, financial conditions had an effect on the change in accounting indicators. Government investment and support for private universities should be changed to a paradigm of securing finance through establishment of a development plan, rather than financial support through reduction of quota, and survival should be sought through income diversification policy strategies.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.421-431
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• 2021

This study investigates the empirical linkages between ASEAN countries' institutional quality and financial inclusion using country data from 2008-2019. In this paper, six governance indicators from the World Governance index are used to measure the impact of institutions on financial inclusion. The PCA method's financial inclusion index is constructed from 3 indicators: penetration, access, and usage: penetration, access, and usage with six indices respectively as the number of ATMs per 1000 km², the number of bank branches per 1000 km², the number of ATMs per 100,000 people and the number of bank branches for 100,000 adults, the ratio of credit to private to GDP, and the ratio of deposit to private to GDP. Regression analysis with the Generalized Moments method shows the positive impact of institutions and other control variables like GDP per capita, inflation, bank concentration, and human development index on financial inclusion. Therefore, this study recommends that the government and policymakers in countries pursue the financial inclusion agenda to pay attention to the financial and economic indicators and institutional factors. This is because many savers, borrowers, and investors may not be protected when financial contracts are enforced or breaches occur in an environment where economic, legal, judicial, and political institutions are weak, such as in ASEAN countries.

• East Asian Economic Review
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• v.19 no.2
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• pp.143-166
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• 2015

This paper investigates the empirical evidence on the relationship between financial accessibility and economic growth to test the conventional hypothesis that improved financial accessibility leads to financial development and economic growth. First, we built a dynamic panel model on the relationship between financial accessibility and economic growth with a set of controlled variables. We then used several financial access indicators from 165 countries, collected from 2004 to 2011, applying the generalized method of moments (GMM) estimators to estimate their relationship. From these estimations, we found that high financial accessibility leads to high income in general. In addition, we found that an increase in financial access indicators had a greater impact on economic growth in low-income countries than it did on economic growth in high-income countries.

• Korea Journal of Hospital Management
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• v.8 no.3
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• pp.118-142
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• 2003

This study is aimed at evaluating the financial structure of hospitals before and after the separation of prescription and drug dispensing policy started to be implemented in July 2000 and at making a suitable hospital managerial strategy through the verification of the factors which have effect on their profitability. This study investigated the hospitals which have passed the accredition review to be designated as a accredited training hospital each year for three years from 1999 to 2001. Those hospitals were selected from members of the Korea Hospital Association. 106 hospitals were targeted for analysis except for the hospitals whose financial statements and managerial performance were not reported faithfully. The financial indicators used in this study were stability indicators(liability to total assets, ratio of debt to fund balance, fixed ratio), liquidity indicators(current ratio, quick ratio), activity indicators(total assets turnover, fixed assets turnover), profitability indicators(net profit to total assets, net profit to net worth, operating margin), and operating expenses to patient revenues indicators(drug and supplies costs/payroll/overhead expenses). The result of this study are as follows: First, the analysis of the increase of loss-making hospitals before and after. The separation of prescription and drug dispensing policy shows that the number of loss-making hospitals increase after the separation(22.6% before the separation; 31.1% after the separation). However, there was no significant statistical difference. Second, the analysis of operating expenses to patient revenues indicators showed that the ratio of drug and supplies cost became lower in all hospitals but the ratio of payroll/overhead expenses became higher. Additionally, the factor which have the greatest effect on profitability was operating expenses to patient revenues indicators (drug and supplies costs/payroll/overhead expenses). Third, the analysis of managerial performance by four types of loss-loss, loss-profit, profit-loss and profit-profit compared the results before the separation with those after the separation revealed as follows : Reliance on liability to total assets became higher in the profit-loss type($56.2%{\rightarrow}66.4%$), lower in the loss-profit type($82.7%{\rightarrow}74.5%$). Total assets turnover became higher in the profit-profit type($1.3{\rightarrow}1.5$), but lower in the loss-profit type($0.8{\rightarrow}0.7$). Operating margin decreased to minus 5.9% from 4.3% in the profit-loss type, but increased to 7.2% from minus 7.8% in the loss-profit type. Forth, operating expenses to revenues indicators showed that the increase of payroll was the biggest in the profit-loss type($39.2%{\rightarrow}49.9%$) and that overhead cost decreased in the loss-profit type but that rather increased in other types.