• Journal of Preventive Medicine and Public Health
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• v.19 no.2 s.20
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• pp.213-223
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• 1986

Ratio analysis allows a hospital to evaluate its own performance over time and to compare its performance with that of other hospitals. For this study, three types of ratio analysis were conducted based on some data on hospitals in Massachusetts. First, Key ratios influencing financial performance were identified using discriminant analysis. Second, the financial structures of the teaching and the non-teaching hospitals were compared using ratios and multiple comparison method. Third, the effects of the prospective reimbursement law of the state on financial performance were examined using ratios and paired t-test. The purpose of the law is to reduce hospital costs by setting the revenue ceiling prior to the effective budget year. The findings of this study were as follows: 1) When hospitals were divided into three groups, according to their operating income, only profitability ratios showed a consistent difference among the groups. 2) In the discriminant analysis, five ratios were selected: current ratio, operating margin, return on assets, fixed assets turnover, and inventory turnover. They are the key ratios to be monitored periodically for the purpose of evaluating the financial performance of hospitals. 3) When teaching hospitals were compared with non-teaching hospitals, acid ratio, days of cash on hand, and inventory turnover were statistically significant before the law went into effect, whereas only fixed assets turnover and inventory turnover were significant afterward. Contrary to previous studies, profitability ratios of teaching hospitals were higher than those of non-teaching hospitals, although the differences were not statistically significant. 4) When the ratios between the two periods (before and after the law) were compared, three profitability ratios (operating margin, return on assets, and return on equity) were significant for teaching hospitals, whereas three activity ratios (total assets turnover, fixed assets turnover, current assets turnover) were significant for non-teaching hospitals. Furthermore, while both total operating revenue and expenses were decreased, net operating income was increased, due to a greater decrease in total operating expenses. This shows that the law can indeed, simultaneously, achieve both a reduction in costs as well as an improvement in the financial situation of hospitals.

• Korean Association of Arts Management
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• no.56
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• pp.275-304
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• 2020

This paper discusses a way to differentiate contents and enhance the competitiveness of art spaces in rural regions through place assets, noting the growing number of rural art spaces and their great potential as cultural spaces in recent years. First, we surveyed existing research and resources to understand the current status and roles of rural art spaces in the context of theoretical discussions on place assets. Based on this, we classified place assets into physical, human, and symbolic elements. After that, we conducted two case studies that apply this classification. For the case studies on the Ami Art Museum and the Potato Flower Studio, we investigated the sites and conducted in-depth interviews with the directors following a qualitative research method. Our findings through the case studies show that Ami Art Museum and Potato Flower Studio remodeled closed school buildings, which are known as physical place assets in rural areas. However, there was a difference in utilizing other place asset elements, and this resulted in different types of differentiated contents. We found three types of rural art spaces from two case studies: inhabitant-friendly, artist-friendly, and tourist-friendly. Finally, in our research, we presented a method of utilizing place assets that differentiate rural art places along with a method for developing differentiated contents. To conclude, the significance of our study is that it attempted to find out a way to make rural art spaces sustainable, and sought cultural regeneration in rural areas through revitalization of rural art spaces.

• Economic Analysis
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• v.27 no.2
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• pp.71-123
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• 2021

In this study, we present a methodology and model to estimate land prices and the value of land assets in North Korea in the absence of any data about land characteristics from North Korean authorities. Using this framework, we experimentally make market price-based estimates for land assets across the entire urban area of North Korea. First, we estimate the determinants of land prices in South Korea using data on market prices of land from the late 1970s, when it was estimated that the income level gap between South Korea and North Korea wasn't relatively large, and from the early 1980s, when urbanization levels in both of them were similar. Second, we calculate land prices and their relative ratios for each city and urban area in North Korea around 2015 by substituting proxy variables of determinants of land prices derived through a geographic information analysis of North Korea into the function of land prices that we have already estimated. Finally, we estimate the value of land assets in urban areas across North Korea by combining the ratio of housing transaction prices surveyed in several cities in North Korea with the relative prices estimated in this research. As a result, land prices in urban areas in North Korea, looking at the relative ratio of price by city, are estimated to be the highest, at 100.00, in Tongdaewon district of Pyongyang, and to be the lowest, at 1.70, in Phungso county, Ryanggang Province. Meanwhile, the value of land assets in urbanized areas was estimated at $21.6 billion in 2015, which was 1.2 to 1.3 times the GDP of North Korea that year. This ratio is similar to South Korea's in the 1978-1980 period, when the South Korean economy grew at an average rate of 6%. Considering North Korea's growth rate of about 1% in the 2013-2014 period, its ratio of land assets to GDP appears very high.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.137-144
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• 2023

Cyberattack technology is evolving to an unpredictable degree, and it is a situation that can happen 'at any time' rather than 'someday'. Infrastructure that is becoming hyper-connected and global due to cloud computing and the Internet of Things is an environment where cyberattacks can be more damaging than ever, and cyberattacks are still ongoing. Even if damage occurs due to external influences such as cyberattacks or natural disasters, intelligent self-recovery must evolve from a cyber resilience perspective to minimize downtime of cyber assets (OS, WEB, WAS, DB). In this paper, we propose an intelligent self-recovery technology to ensure sustainable cyber resilience when cyber assets fail to function properly due to a cyberattack. The original and updated history of cyber assets is managed in real-time using timeslot design and snapshot backup technology. It is necessary to secure technology that can automatically detect damage situations in conjunction with a commercialized file integrity monitoring program and minimize downtime of cyber assets by analyzing the correlation of backup data to damaged files on an intelligent basis to self-recover to an optimal state. In the future, we plan to research a pilot system that applies the unique functions of self-recovery technology and an operating model that can learn and analyze self-recovery strategies appropriate for cyber assets in damaged states.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.9-18
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• 2020

This study seeks to analyze the effect of Non-Performing Loans and Capital Adequacy Ratio on Return on Assets on ten conventional banks listed on the Indonesia Stock Exchange (BEI-IDX). This study uses secondary panel data for 2015-2019 in the form of CAR and NPL values from ten conventional banks listed on the BEI-IDX during the 2020 observation period. The research approach is quantitative descriptive with data analysis methods, namely, linear regression. The testing phase of this study includes: transform value, F-test, T-test and hypothesis test with significancy level sig < 0.05. The results of this study reveal that Non-Performing Loans had a significant negative effect (t = -2,637) (0.011 <0.0) on Return on Assets, while Capital Adequacy Ratio has no significant effect on ROA (0.760 > 0.05). R2 value is 0.128 or 12.8%. It has a significant effect on variables, calling efforts by banks, governments, and authorities monetary of related institutions to maintain the stability of finance. The reduction of Non-Performing Loan impacts on assets and capital adequacy ratio, besides, the normal NPL will control the stability of finance. If a balance is created either in the form of values or amounts of the variables, the reduction in Non-Performing Loans will be controlled.

• Korean Management Science Review
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• v.28 no.2
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• pp.63-74
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• 2011

As business environment has become more competitive, the R&D strategies of firms have been regarded more important. Patent has information about technology which affects a firm's profit and it is considered as resources which have provided appropriate data for research of innovations and trends in technology. And patent indicators are known as qualitative representation of technology quality in an objective view. Also, they are available for the continuous and systematic analysis. However, most previous studies have focused on developing patent indicators to investigate patent value and characteristics. Furthermore they have limitations that most results is not significant that patent indicators have effect on firm performance-Tobin's q, Intangible assets based on balance sheet, sales and etc. Thus, the purpose of this paper is to propose proper a factor to represent a firm performance and to analyze causal relationship between patent indicators and firm performance. Intangible assets based on market value are employed as one of most significant firm performance indicator. The results indicate that intangible assets are appropriate for analyzing causal relation between patent and a firm performance with 7 significant indicators among 10 patent indicators. Considering firm's exogenous factors, regression analysis of each data for five years is performed. This result is similar to regression analysis of full data for all years.

• Management Science and Financial Engineering
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• v.10 no.1
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• pp.25-41
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• 2004

There have been many studies to build a model that can help investors construct optimal portfolio. Most of the previous models, however, are based upon the path-breaking Markowitz model (1959) which is a quantitative model. One of the most important problems with that kind of quantitative model is that, in reality, most of the investors use not only quantitative, but also qualitative information when they select their optimal portfolio. Since collecting both types of information from the markets are time consuming and expensive, making a set of target assets smaller, without suffering heavy loss in the rate of return, would attract investors. To extract only desired assets among all available assets, we need knowledge that identifies investors' preference for the risk of the assets. This study suggests two-layer decision-making rules capable of identifying an investor's risk preference and an architecture applying them to a quantitative portfolio model based on risk and expected return. Our knowledge-based portfolio system is to build an investor's preference-oriented portfolio. The empirical tests using the data from Korean capital markets show the results that our model contributes significantly to the construction of a better portfolio in the perspective of an investor's benefit/cost ratio than that produced by the existing portfolio models.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.467-481
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• 2006

In the era of the Internet and ubiquitous computing, IS users are still facing a variety of threats. Therefore, a need of more tightened information security service increases unprecedentedly. In this sense, this study is aimed at proposing a new research model in which IT assets (i.e., network, system, and information influence) and Information Security Service (i.e., confidentiality, integrity, nonrepudiation, authentication) affect information security qualty positively, leading to users' satisfaction eventually To prove the validity of the proposed research model, PLS analysis is applied with valid 177 questionnaires. Results reveal that both IT assets and Information Security Service influence informations security quality positively, and user satisfaction as well. From the results, it can be concluded that Korean government's recent orchestrated efforts to boost the IT assets and Information Security Service helped great improve the information security quality and user satisfaction.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.19-27
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• 2020

This paper aims to empirically study the determinants of liquidity of Indian listed firms. To account for profit persistence, we apply a (pooled, fixed and random) effect models to a panel of Indian listed firms that covers the time period from 2010 to 2016. This study consists of 2154 firms operating in Indian market. Liquidity (LQD) of Indian firms is measured by liquid assets to total assets, whereas bank size, capital adequacy, profitability, leverage, and firm age are used as internal determinants. Further, economic activity, inflation rate, exchange rate, and interest rate are the external factors considered. The findings reveal that leverage, return on assets, and firm age are the essential internal determinants that impact the liquidity of Indian listed firms. Furthermore, among the internal determinants, the results indicate that firm size, leverage ratio, return on assets ratio, and firm age are found to have a significant positive association with firms' LQD, except leverage ratio and firm age has a negative relationship with firms' LQD. From this result, this article has provides helpful ideas and empirical evidence on the inner and external determinants of the companies mentioned in India is very useful to bankers, analysts, regulators, investors and other stakeholders.

• Journal of Distribution Science
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• v.16 no.4
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• pp.35-47
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• 2018

Purpose - This study seeks to find out the factors affecting the performance of franchisees from the franchisor's and franchise's intangible assets. In order to explain the process, this study explores the concept of LMX, Relational Capital, and Decision Rights Delegation. Research design, data, and methodology - To verify the proposed hypotheses, a questionnaire survey was conducted for franchise store owners, and to test the hypotheses, structural equation modeling was established. Results - First, franchisor's intangible assets affect the quality of LMX, but don't affect the relational capital. And the quality of LMX affects the relational capital. In addition, "the effect of delegation of decision rights on relational capital" and "the effect of relational capital on franchisee's performance" were significant. However, the effect of delegation of decision rights on franchisee's performance wasn't significant. Second, the intangible assets of the franchise have a positive effect on the quality of the LMX and the degree of delegation of decision rights, and the quality of the LMX has a positive effect on the delegation of decision rights. Conclusions - This study would suggest operational implications for the formation of vertical and horizontal relationships and the cooperation between the main members of the franchise business.