• Journal of Korean Library and Information Science Society
• /
• v.42 no.2
• /
• pp.323-341
• /
• 2011

In this study, the factor that affect use value of domestic public library was analysed. This study try to grasp the effect of various variables such as characteristics of the respondent and library through the measurement using CVM that extract the value by the user's statement. For this purpose, effective variables identified in the value measurement study of domestic and foreign public library was grasped and characteristics of the effective variables presented in the study examined. The factor influenced WTP representing library's value are the demographic characteristics such as gender, income, age and the using pattern such as frequency of use, time to visit. As to user's satisfaction and recognition, the recognition about librarian's satisfaction, place for resident's exchange, degree of financial support, culture-art volunteers are affecting depending on the service such as information, facilities and programs. The study comprehensively analysed the impact on the value measured by all types of public library in the nation and provided the information about property of value assessed by user according to region and scale. This information is expected to help the strategic policy making to enhance the value of library in the future.

• Management & Information Systems Review
• /
• v.33 no.4
• /
• pp.39-48
• /
• 2014

In order that a company may reduce expense, according to companies' income statement, the largest amount of money is set to total sales amount, and the next is the sales cost. The method of reducing the sales cost is the common and it is important to take down a unit price at the time of purchase, or to reduce inventory cost. In this research, the cost reduction model for logistics cost reduction is built using the real data of P company, and in order to verify the validity of a model, logistics cost is calculated through a simulation. A real logistics cost is compared with the logistics cost through logistics route rearrange of the proposal model. It will become an opportunity which analyzes the logistics expense of P company through this research, and can be solved in search of the problem of logistics system.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.2
• /
• pp.688-697
• /
• 2014

The current accounting for the long term care facilities are enforced by either financial accounting stipulations of social welfare legal entity or the guiding principles of long term care insurance law. In addition, some facilities are not eligible to access to the Korea Health and Welfare information system and even don't have any obligation to report financial information. Thus financial position and performance of activities are not well known to the interested parties. This study investigated the way how to improve the current accounting stipulation of the long term care facilities. In conclusion, we should introduce the accounting standards based on the double entry system but on other aspect, also more simplified financial statement based on single entry system for smaller facilities. Also we should introduce three important appropriation accounts for the net income of institution which matches GAAP. For a successful plantation of accounting standards, it is necessary to establish provisions, government subsidy account, depreciations concept.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.4
• /
• pp.273-285
• /
• 2022

Using data from a departmental profit and loss management questionnaire survey conducted for a group of hospitals consisting of various establishment entities, this study evaluates the effectiveness of departmental profit and loss management practices, such as break-even analysis, based on objective performance data. The study also examines whether the implementation of departmental profit and loss accounting is still effective in improving profitability in the financial year 2021 and whether the effectiveness of the implementation of departmental profit and loss accounting is robust. This study reconfirmed that the implementation of departmental profit-and-loss accounting has a positive effect on objective financial performance in hospitals and that the effect of improving profitability can be enhanced by implementing it monthly with high frequency and regularity and by using the accounting results more actively. It was also found that the department's implementation of break-even analysis had a positive impact on financial performance, which was enhanced by more active use of the data. Given the current economic climate, a hospital organization's active participation in income statement management, not only for the hospital as a whole but also for each department, would be an effective management activity.

• Journal of Digital Convergence
• /
• v.17 no.3
• /
• pp.79-92
• /
• 2019

This study analyzes the effects of freight transportation income, capital, asset, non-operating expenses, and debt ratio on the debts of inner port freight transportation businesses through the GLS of panel regression analysis and the estimation of fixed effects model. The factors and hypotheses were established through a theoretical background review, and the financial statement and profit and loss data of inner port freight transportation businesses for 10 years from 2006 to 2015 were analyzed. The results showed that assets had positive effects on debts, and negative effects on capital, non-operating expenses, and debt ratio, but no effect on freight transportation income. This result empirically demonstrates the tendency of inner port freight transportation businesses to secure assets by increasing debts, creation of debt reduction leverage effect using non-operating expenses such as interest expenses through bank borrowing, and the adoption of management characteristics and financial operation method to lower the debt ratio by reducing capital more than debts. In future studies, it is necessary to analyze coastal port freight transportation business by industry (oil tankers, cargo ships, and barge ships), and regions such as East, West and South sea.

• Journal of Home Health Care Nursing
• /
• v.6
• /
• pp.5-18
• /
• 1999

This study was attempt to encourage for developing on rehabilitation delivery system and programs as a substitute service instead of hospitalization for accident patients at work, such as hospital based home health care nursing service. It needs vary substitutes service of hospitalization to curtail the length of stay for inpatients who were hospitalized with workers compensation insurance. It focused on developing an estimation of early discharge day of accident inpatients based on a detail statement of treatment for 115 inpatients who were hospitalized at General Hospital in 1997. This study has four specific purpose as follows. First, to find out the status of health service utilization. Second, to estimate the early discharge days and income increasing effect based on the early discharge for those patients. Third, to identify the factors to affect total medical expenditure and the length of stay for those inpatients. Forth, to figure out the need of utilizing home health care nursing service for accident patients. In order to analyze of the length of stay and medical expenditure for inpatients who were hospitalized due to the accident, the authors conducted with micro-analysis and macroanalysis from medical records and medical expenditure records. Micro-analysis was done by nominal group discussion of 4 expertise with the critical criteria. such as a decrease in the amount of treatment after surgery, treatments, tests, drugs and changes in the tests consistency, drug methods, vital signs, start of ROM exercise, doctor's order, patient's outside visiting ability, stable conditions. In addition to identify affected variables for medical expenditure. the length of stay and income effect due to early discharge day, the data was analyzed with multiple regression analysis and linear regression analysis model by SPSS-PC for windows and Excell program. Results of this study as follows. First, the mean length of stay was 37.1 days, whereas the mean length of stay due to early discharge was 28.2 days at the hospital. The estimation of early discharge days were shown that depends on the length of stay. The longer length of stay, the longer length of early discharge days, such as under 7 days length of stay patients was to estimated the mean length of stay was 4.9 days and early discharge days was 4.6. whereas the mean length of stay was 122.6 days and early discharge days was 92.0 respectively. The mean medical expenditure per day were found to be 133.409 Won. whereas the mean medical expenditure per day was shown negative linear trends according to the length of stay at the hospital. The estimation results of the income effect due to 11 early discharge days per bed was around 2,150,000 won. However, it means not the real benefits from early discharge, but the income increasing amount without considering medical prime cost in general hospital. Therefore, it needs further analysis on the cost containments and benefits under the considering as well turn over rates per bed as the medical prime costs. The length of stay was most significant and the sign was positive to the total medical expenditure, as expected. Surgery and patient's residential area also an important variable in explaining medical expenditure. The level of complications was most significant variable in explaining the length of stay. The level of the needs on horne health care nursing service which can be used for early discharge accident patients were shown very high. The needs distribution varied from 65.5% of patients and 88.9% of caregivers, to 96.4% of doctors, and 99.1% of nurses. In addition horne health nurse responded that they can be managed the accident inpatients from early discharge. From these research findings. the following suggestions has been drawn it needs to develop strategies on rehabilitation delivery system in order to focused on consumer's side which is planned for 21 century health policy in Korea. Vary intermediate facilities and horne health care would have been developed in the community based for comprehensive rehabilitation services as a substitutes of hospitalization for shortening the length of stay of hospitalizations. In hospital based horne health care nursing service, it's available immediately to utilize for the patients who wanted rehabilitation services as a substitutes of hospitalization under the cooperations with workers compensation insurance company.

• Journal of Intelligence and Information Systems
• /
• v.26 no.2
• /
• pp.105-129
• /
• 2020

This study uses corporate data from 2012 to 2018 when K-IFRS was applied in earnest to predict default risks. The data used in the analysis totaled 10,545 rows, consisting of 160 columns including 38 in the statement of financial position, 26 in the statement of comprehensive income, 11 in the statement of cash flows, and 76 in the index of financial ratios. Unlike most previous prior studies used the default event as the basis for learning about default risk, this study calculated default risk using the market capitalization and stock price volatility of each company based on the Merton model. Through this, it was able to solve the problem of data imbalance due to the scarcity of default events, which had been pointed out as the limitation of the existing methodology, and the problem of reflecting the difference in default risk that exists within ordinary companies. Because learning was conducted only by using corporate information available to unlisted companies, default risks of unlisted companies without stock price information can be appropriately derived. Through this, it can provide stable default risk assessment services to unlisted companies that are difficult to determine proper default risk with traditional credit rating models such as small and medium-sized companies and startups. Although there has been an active study of predicting corporate default risks using machine learning recently, model bias issues exist because most studies are making predictions based on a single model. Stable and reliable valuation methodology is required for the calculation of default risk, given that the entity's default risk information is very widely utilized in the market and the sensitivity to the difference in default risk is high. Also, Strict standards are also required for methods of calculation. The credit rating method stipulated by the Financial Services Commission in the Financial Investment Regulations calls for the preparation of evaluation methods, including verification of the adequacy of evaluation methods, in consideration of past statistical data and experiences on credit ratings and changes in future market conditions. This study allowed the reduction of individual models' bias by utilizing stacking ensemble techniques that synthesize various machine learning models. This allows us to capture complex nonlinear relationships between default risk and various corporate information and maximize the advantages of machine learning-based default risk prediction models that take less time to calculate. To calculate forecasts by sub model to be used as input data for the Stacking Ensemble model, training data were divided into seven pieces, and sub-models were trained in a divided set to produce forecasts. To compare the predictive power of the Stacking Ensemble model, Random Forest, MLP, and CNN models were trained with full training data, then the predictive power of each model was verified on the test set. The analysis showed that the Stacking Ensemble model exceeded the predictive power of the Random Forest model, which had the best performance on a single model. Next, to check for statistically significant differences between the Stacking Ensemble model and the forecasts for each individual model, the Pair between the Stacking Ensemble model and each individual model was constructed. Because the results of the Shapiro-wilk normality test also showed that all Pair did not follow normality, Using the nonparametric method wilcoxon rank sum test, we checked whether the two model forecasts that make up the Pair showed statistically significant differences. The analysis showed that the forecasts of the Staging Ensemble model showed statistically significant differences from those of the MLP model and CNN model. In addition, this study can provide a methodology that allows existing credit rating agencies to apply machine learning-based bankruptcy risk prediction methodologies, given that traditional credit rating models can also be reflected as sub-models to calculate the final default probability. Also, the Stacking Ensemble techniques proposed in this study can help design to meet the requirements of the Financial Investment Business Regulations through the combination of various sub-models. We hope that this research will be used as a resource to increase practical use by overcoming and improving the limitations of existing machine learning-based models.

• Journal of Korea Technology Innovation Society
• /
• v.12 no.2
• /
• pp.360-387
• /
• 2009

In this paper, we analyse empirically the effects of internal financing on investment of innovative small and medium sized enterprises listed on Kosdaq Market of Korea Exchange. The main results of this study can be summarized as follows. Free cash flows by proxy variables of internal financing have the significant effects on R&D investment as well as fixed asset investment. Internal financing has much more effects on R&D investment of general enterprises listed on Kosdaq Market than that of venture enterprises listed on Kosdaq Market, and on R&D investment of innovative enterprises than that of non-innovative enterprises. Internal financing has more effects on asset-counted R&D investment than cost-counted R&D investment. Asset-counted R&D investment is counted in intangible assets on Balance Sheet, and cost-counted R&D investment is counted in cost on Income Statement. Internal financing has more effects on R&D investment of financial constrained enterprises than that of financial unconstrained enterprises. Financial constraints is measured by credit ratings. Faulkender and Smith (2007) emphasize that low credit ratings enterprises are more likely to face financial constraints, and they rely largely on internal financing.

• Management & Information Systems Review
• /
• v.28 no.3
• /
• pp.141-159
• /
• 2009

In the early 1990's, international security environment bring on the change. So each countries should have renewed the defence policy. The developed countries make efforts to keep the superiority of military industry with an high technology and huge capital. One of the efforts is the defence industry exhibitions for the management performance regarded as the marketing strategic principal method. The result of the opening exhibitions has been studied by research papers and treatises. A exhibitions' goal is different from an it's characteristic, type, industry, participator, institution and participating nation. An enterprise's management performance is runs as follows. First, an exhibitions participation activation has an effect re-participation following the satisfaction. Second, an exhibitions participation activation contributes to be on sale promotion, The result of the exhibitions participation is classified with sale performance and non-sale performance. The third, an exhibitions participation activation contributes to the effective company management. The huge fund advertisement is a financial burden, but a exhibitions takes effect one-fifth economical retrenchment. Accordingly, this study researched the exhibition participation choice properties, an exhibitions participation activation properties and investigated the Korea defence industry's income statement, balance sheet, growth ratios, profitability ratios, productivity ratios, stability ratios which were substitute for the enterprise's management performance through the exhibitions participation costs and the number of times.

• The Journal of Small Business Innovation
• /
• v.19 no.3
• /
• pp.17-42
• /
• 2016

Financial Accounting Standards Board (FASB) Interpretation No. 48 (FIN 48), Accounting for Uncertainty in Income Taxes: An interpretation of FASB Statement No. 109, requires firms to evaluate uncertain tax positions and disclose information on their liabilities for these positions, unrecognized tax benefits (UTBs). We analyze the FIN 48 disclosures for calendar-year-end Korean companies listed on NYSE and NASDAQ and examine the Korean firms' tax aggressiveness utilizing the UTBs. The results suggest that stock exchange and firm size do not play a role in the Korean firms' tax aggressiveness, contrary to the matched U.S. firms and that the Korean firm in the miscellaneous retail industry is more tax aggressive than the firms in the communications, depository institutions and business services. In addition, we find evidence that the Korean firms are less tax aggressive than the matched U.S. firms. We also examine the Korean firms' tax avoidance tendencies using other measures of avoidance, leading to mixed results. Finally, we examine the association between the UTBs and other measures of tax avoidance and find a significant and negative association between the UTBs and the long-run cash effective tax rate.