• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.183-194
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• 2021

This study aimed to examine the effect of corporate characteristics, including the industrial sector and scale of operation, financial leverage, profitability, operating period, and social reputation, on socio-ecological responsibility based on Global Reporting Initiative (GRI) standards. The study was conducted in the Indonesian context. A total of 90 public companies listed on the Indonesia Stock Exchange were selected as samples, with an observation period of 10 years. A univariate regression analysis was applied to test the hypotheses. The results showed that the industrial sector, scale of operation, financial leverage, profitability, operating period, and social reputation of the corporate had a positive effect on socio-ecological responsibility. This study also obtained evidence that there were differences in the level of socio-ecological responsibility among the industrial sectors. The higher the relationship between the industrial sector and the possibility of the emergence of social and environmental issues, the higher the level of corporate socio-ecological responsibility. From a policy perspective, the implication of the results of this study was that it could be used as a consideration by the authorities or regulators in Indonesia, particularly the Financial Services Authority (OJK), in determining specific indicators of socio-ecological responsibility that must be carried out by corporates.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.135-142
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• 2021

This study aims to examine the impact of audit committee characteristics on income management of companies listed on the Stock Exchange of Vietnam. Research data was collected from all 745 listed companies on Vietnam's stock market over four years, from 2015 to 2018. After excluding companies that did not qualify, there were 216 companies with 864 observations. With the help of dedicated software Stata 15, the impact of audit committee characteristics (through independent variables and control variables such as Audit Committee Independence, Auditing Committee size, Auditing Committee Expertise, Auditing Committee Meeting Frequency, Company Size, Financial Leverage, and Operating Cash Flow) to earning management through a multivariate regression model was determined. Research results from Vietnamese listed companies during this period show that the size and expertise of the audit committee are inversely related to the discretionary accruals representing earning management. At the same time, the research results also identify a positive relationship between firm size and earning management, and the inverse relationship between financial leverage, net cash flow from operating operations and earning management. However, the multivariate regression results do not find clear evidence of a relationship between audit committee independence and the audit committee meeting frequency to earning management.

• 한국조리학회지
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• 제22권6호
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• pp.52-60
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• 2016

This study attempts to measure the financial performance of the food distribution company. In order to achieve the goal, this study have measured the ratios of ROE, ROA applying the DuPont analysis, which have been demonstrated with tables to show the change periodically. DuPont analysis is based on analysis of Return on Equity (ROE) & Return on Investment (ROI). The return on equity disaggregate performance into three components: Net Profit Margin, Total Asset Turnover, and the Equity Multiplier. The return on investment consists of Assets Turnover (Operating Income${\times}$Total Assets) and Profit Margin (EBIT${\times}$Operating Income). From the study it if found that Hyundae Green Food's Financial performance is high followed by Foodmerce and then Dongwon home food and Lotte Food. The four companies are significant at their level. In conclusion, ROE & ROI is the most comprehensive measure of profitability of a firm. It considers the operating and investing decisions can be made as well as the financing and their leverage-related decisions.

• The Journal of Asian Finance, Economics and Business
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• 제6권3호
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• pp.41-53
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• 2019

Building a target capital structure is one of the most important decisions in corporate financial management. The purpose of this article is to identify the determinants of capital structure and adjustment mechanism toward the target leverage. The partial adjustment model was applied on a sample of 306 non-financial companies listed on Vietnam stock exchange market during the period of 2008-2017. By the fixed effect model estimation method, the research results have discovered the factors of growth opportunities, firm size, tangible fixed assets and firm's unique characteristics have a positive effect on the target capital structure of enterprises. Besides, profitability and dividend payment have a negative effect on the target capital structure of enterprises. Accordingly, the research results show that the average adjustment speed toward target leverage of the firms is 90.03%. Research results also demonstrate firms have higher or lower debt ratio than the target debt ratio, capital surplus or capital deficit also have an impact on the adjustment rate toward the target capital structure. The research results are consistent with the Dynamic Trade-off Theory. From this result, this article has provided policy implications for non-financial companies listed on Vietnam's stock market in building a reasonable target capital structure according to operating timeline to maximize enterprise value.

• 보건의료산업학회지
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• 제10권3호
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• pp.13-25
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• 2016

Objectives : The purposes of this study was to analyze business performance of university hospitals for the past 10 years. Methods : Management and finance data from 2005 to 2014 were collected from balance sheets, income statements and annual reports from 27 university hospitals. The dependant variable used was profitability which included return on assets, operating margin and net profit to gross revenues 1. The independent variables were general characteristics, liquidity, stability, activity and financial ratios. Results : University hospitals over the last 10 years had achieved good management performance. Using financial leverage, patient revenues, operating profit, nonpatient revenues, total assets and total debt, the total amount had increased by more than double. The ratio of fixed liability and fixed assets turnover was found to have a significant positive (+) effect on management performance in the years 2012-2014. Conclusions : Based on these results, this study suggests a more in-depth analysis using fixed liabilities and fixed assets.

• 한국병원경영학회지
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• 제25권4호
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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.

• The Journal of Asian Finance, Economics and Business
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• 제8권11호
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• pp.223-234
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• 2021

This study aims to examine whether operating cash flows influence banks' financial stability in Pakistan. The study employed annual panel data collected from annual reports of 20 commercial banks listed on the Pakistan Stock Exchange for the year 2011 to 2019. Free cash flow yield was taken as the dependent variable while cash flow ratio was selected as the independent variable, and net interest margin, income diversification, asset quality, financial leverage, the cost to income ratio, advance net of provisions to total assets ratio, capital ratio, financial performance, breakup value per share and bank size were taken as control variables. The study performed ordinary least square technique, random and fixed effects models, Hausman test, Lagrange multiplier test, descriptive and correlation analysis. Results showed that operating cash flows and net interest margin significantly and positively influenced banks' financial stability while the cost to income ratio and advances net of provisions to total assets ratio significantly and negatively associated with banks' financial stability. To improve financial stability, banks should become more cost-effective and enhance their liquidity levels by lowering lending activities. In the future, it would be useful to compare commercial and investment banks, also Islamic and conventional banks in the same research setting.

• Asia pacific journal of information systems
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• 제34권1호
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• pp.150-190
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• 2024

This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.

• 한국수자원학회논문집
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• 제43권7호
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• pp.609-623
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• 2010

본 논문에서는 시스템다이내믹스(System Dynamics, SD) 방법론에 입각하여 상수도 시스템의 운영에 내재된 피드백 루프 메커니즘(feedback loop mechanism)을 상수관로의 유지관리와 연관하여 규명하고, 관로 상태의 변화가 전체 시스템에 미치는 영향을포함한 상수도 시스템의 운영지표를예측하여 상수도 시스템의 효율적인운영 및 유지관리를 지원할 수 있는 SD 컴퓨터 모의 모형(simulation model)을 개발하였다. 개발된 모형은 물 공급(water supply) 모형, 관로 유지 관리(pipe maintenance) 모형 및 상수도 재정(water supply business finance) 모형으로 구성된다. 연구대상 지역 상수도 시스템의 운영 자료를 개발된 모형에 적용하여 모형을 검증하고 시스템의 과거 및 미래의 운영 상태를 추정하였으며, 시스템의 운영에 큰 영향을 미치는 정책 지렛대를 발견하였다. 정책 지렛대 발견을 위해 모형의 외부변수의 변화에 대한 연구대상 시스템의 주요 운영지표의 민감도가 분석되었는데 관로의 유지관리에 연관된 외부변수는 누수수량과 관로의 변화에는 큰 영향을 끼치나, 유수율을 비롯한 주요 운영지표에는 큰 영향을 미치지 않는 것으로 나타났다. 관로의 유지관리와 유수율과 같은 주요 운영지표 간의 관계를 보다 정확히 모형화하기 위해서는 관로의 누수 또는 사고로 인해 발생하는 사회적 비용의 발생과 그 전파 메카니즘이 모형화되어야 할 것으로 분석된다.

• 한국항만경제학회지
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• 제30권4호
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• pp.131-149
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• 2014

해운물류기업들의 유동성문제는 지속적으로 제기되어 왔으며, 유동성위기 극복을 위한 자산매각, 구조조정 등 기업들의 자구책뿐만 아니라, 다양한 형태의 정책적 지원방안도 마련되고 있는 상황이다. 하지만, 여전히 유동성위기에 대한 어려움이 산업전반에 걸쳐 내재된 상태이다. 이에 본 연구에서는 해운물류기업들의 유동성과 현금보유수준에 대해 살펴보고, 그 결정요인들을 실증해봄으로써 해운물류기업들의 유동성 극복을 위한 재무적 의사결정 정보를 제공해보고자 하였다. 이를 위해 2005년 이후 38개 해운물류기업들을 대상으로 연구를 수행하였다. 연구의 수행결과 현금보유규모측면에서는, 일반제조업 대비 큰 차이를 보이지 않았으나, 매출액대비 원가는 지속적으로 상승하였으며, 2009년 이후부터는 판관비를 포함한 매출원가가 매출규모를 상회함으로써 수익성이 급격히 하락하는 것으로 나타났다. 현금보유수준 결정요인분석결과에서는 부채만기, 선박규모, 이자비용, 성장기회 등이 주된 결정요인 것으로 나타났다. 결정요인별 추가분석에서는 결정요인에서 다소 차이를 보여주었다. 부채만기가 높은 집단에서는 성장기회와 현금흐름이, 낮은 집단에서는 기업 및 선박규모가 결정요인으로 분석되었다. 또한 자산대비 선박규모가 클 경우 성장기회, 현금흐름 등이, 낮을 경우 이자비용, 선박규모 등의 유의한 변수로 분석되었다. 이자비용부담이 낮은 집단에서는 성장기회가 추가적으로 유의하게 나타났다.