• 한국조리학회지
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• 제14권4호
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• pp.93-105
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• 2008

This study was attempted to analyze causal relations among flexibility, growth, and profitability variables, which are the financial indexes of restaurant enterprises. The samples were 24 restaurant enterprises in total, and 102 financial statements between 2002 and 2006 were analyzed. As a result of the analysis, total asset growth rate influenced all profitability variables among growth variables. Also, the net sales growth influenced return on sales and return on assets, and the assets turnover influenced return on assets and return on equity. Among flexibility variables, current ratio and interest coverage ratio to operating profit influenced return on assets, and return on equity was influenced by current ratio and debt-to-equity ratio.

• 한국경영과학회지
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• 제40권1호
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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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• 제9권1호
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• pp.345-352
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• 2022

This study examines the impact of female representation on board of directors and audit committees on financial reporting quality, which also discusses the moderating role of family ownership in female representation on boards of directors and audit committees and financial reporting quality. The unbalanced panel is made up of 271 non-financial companies listed on the Pakistan Stock Exchange (PSX) from 2008 to 2019.The findings reveal that female representation on the board of directors has a large and negative impact on financial reporting, but female representation on the audit committee has a significant positive impact on financial reporting quality. Furthermore, the results reveal that family ownership has a negative impact on the relationship between female presence on boards of directors and financial reporting quality. Furthermore, the findings show that family ownership reduces the impact of female involvement in audit committees on the quality of financial reporting. However, family ownership has no direct impact on financial reporting quality.Our findings suggest that selecting females to serve on boards of directors and audit committees should be based on specific criteria (e.g., monitoring abilities, business competence, knowledge, and experience) rather than on family relationships.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권12호
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• pp.3218-3241
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• 2023

Financial fraud undermines the sustainable development of financial markets. Financial statements can be regarded as the key source of information to obtain the operating conditions of listed companies. Current research focuses more on mining financial digital data instead of looking into text data. However, text data can reveal emotional information, which is an important basis for detecting financial fraud. The audit opinion of the financial statement is especially the fair opinion of a certified public accountant on the quality of enterprise financial reports. Therefore, this research was carried out by using the data features of 4,153 listed companies' financial annual reports and audits of text opinions in the past six years, and the paper puts forward a financial fraud detection model integrating audit opinions. First, the financial data index database and audit opinion text database were built. Second, digitized audit opinions with deep learning Bert model was employed. Finally, both the extracted audit numerical characteristics and the financial numerical indicators were used as the training data of the LightGBM model. What is worth paying attention to is that the imbalanced distribution of sample labels is also one of the focuses of financial fraud research. To solve this problem, data enhancement and Focal Loss feature learning functions were used in data processing and model training respectively. The experimental results show that compared with the conventional financial fraud detection model, the performance of the proposed model is improved greatly, with Area Under the Curve (AUC) and Accuracy reaching 81.42% and 78.15%, respectively.

• 대한지역사회영양학회지
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• 제28권2호
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• pp.95-103
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• 2023

Objectives: The budget gap in the health sector of local governments affects the supply of health services, which can cause the health gap. This study classified local governments according to their financial characteristics, such as local financial independence and health budget level. It analyzed the health behaviors and disease prevalence of local residents to examine the effect of local government financial investment on the health of local residents. Methods: To classify types according to the financial characteristics of local governments, financial independence and the health budget data for 17 local governments were collected from the local fiscal yearbook of the Ministry of Public Administration and Security. The prevalence of chronic diseases and healthy behavior was compared using the 16,333 data of adults between the ages of 30 and 65 years among the original data of the National Health and Nutrition Examination Survey (2016-2020). Results: Cluster analysis was used to classify local governments into five clusters according to the health financial capacity type. A comparison of the prevalence of local residents by cluster revealed a similar prevalence of hypertension, diabetes, and hypercholesterolemia. On the other hand, the obesity rate (P < 0.01), high-risk drinking rate (P < 0.01), aerobic physical activity rate (P < 0.001), and healthy eating practice rate (P < 0.001) were significantly different. In addition, an analysis of the odds ratio based on the Seoul area revealed a higher risk of health behavior of non-Seoul residents. Conclusions: It is necessary to review the universal health promotion project budget considering the degree of regional financial vulnerability from the viewpoint of health equity to narrow the health gap among regions.

• 한국콘텐츠학회논문지
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• 제6권7호
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• pp.31-41
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• 2006

본 연구의 목적은 관리회계 정보특성과 정보기술구조간의 적합성이 AIS 성과에 미치는 영향을 분석하는데 있다. 본 연구에서는 관리회계정보 특성 변수로는 재무적 요인과 비재무적 요인을 이용하였으며, 정보기술구조는 Ahtuv 등 (1989), Fiedler 등 (1996)이 분류한 자료처리의 집중화와 분산화를 이용하였다. 표 본 기업은 상장기업을 무작위로 425 개를 선정하였으며 회수된 자료 중 137부를 분석에 이용하였다. 본 연구의 가설검증 결과를 요약하면 다음과 같다. 관리회계정보특성 변수와 정보기술구조 변수간의 적합도 검증에서는 자료처리가 집중화 된 기업에서는 재무적 정보를 활용하는 기업이 비재무적 정보를 활용하는 기업보다 AIS 성과가 높게 나타났다. 그러나 통계적으로는 유의성이 없었다. 자료처리가 분산화 된 기업에서는 비재무적 정보를 활용하는 기업이 재무적 정보를 활용하는 기업보다 AIS 성과가 높게 나타났다. 또한 통계적으로도 높게 나타났으며, p<0.01 수준에서 유의하였다.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2006년도 춘계 종합학술대회 논문집
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• pp.113-117
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• 2006

본 연구의 목적은 관리회계 정보특성과 정보기술구조간의 적합성이 AIS성과에 미치는 영향을 분석하는데 있다. 본 연구에서는 관리회계정보 특성 변수로는 재무적 요인과 비재무적 요인을 이용하였으며, 정보기술구조는 Ahtuv 등(1989), Fiedler 등(1996)이 분류한 자료처리의 집중화와 분산화를 이용하였다. 표본 기업은 상장기업을 무작위로 425개를 선정하였으며 회수된 자료 중 137부를 분석에 이용하였다. 본 연구의 가설검증 결과를 요약하면 다음과 같다. 관리회계정보특성 변수와 정보기술구조 변수간의 적합도 검증에서는 자료처리가 집중화된 기업에서는 재무적 정보를 활용하는 기업이 비재무적 정보를 활용하는 기업보다 AIS성과가 높게 나타났다. 그러나 통계적으로는 유의성이 없었다. 자료처리가 분산화 된 기업에서는 비재무적 정보를 활용하는 기업이 재무적 정보를 활용하는 기업보다 AIS성과가 높게 나타났다. 또한 통계적으로도 높게 나타났으며, p<0.05 수준에서 유의하였다.

• 가정과삶의질연구
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• 제29권4호
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• pp.125-145
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• 2011

The purposes of this study were to examine low-income households' financial statuses and the socio-economic characteristics of single-person and non-single person households according to the financial indexes used for evaluating financial security and growth status developed based on financial ratios. Using 2009 KLIPS(Korean Labor & Income Panel Survey) data collected by the Korean Labor Institute, the satisfaction levels from the indexes were analyzed and compared between the two household types. The results showed that 46.0% of single-person households were not satisfactory in terms of all financial growth indexes but were partially satisfactory in terms of all financial security indexes. These householders tended to be females and in the their 70s, who lived in Seoul or in a suburb of Seoul, Korea. They reported problems with a lack of financial growth possibilities. 47.0% of non-single person households were not satisfactory in terms of all financial growth indexes but were partially satisfactory in terms of all financial security indexes. These householders tended to be males in their 60s and 70s with no job who were living in Seoul or in a suburb of Seoul, Korea. They reported having low level of liquidity and high level of debt redemption. 42.6% of single-person households were not satisfactory in terms of both financial security and growth indexes partially. These householders tended to be females in their 20s or 70s who were living in rural areas. They reported problems related to an adverse balance between household income and expenditures and a large scale of debt. 43.1% of non-single households were not satisfactory in terms of both financial security and growth indexes partially. These householders tended to be males in their 60s or 70s and homeowners. They reported problem related to an adverse balance of household income and expenditures and high a level of housing expenditures and liquidity. The research findings have implication for policy makers considering financial support programs and welfare programs for low-income householders, considering the recent changes in households structures.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.1143-1152
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• 2021

The study aims to assess the impact of factors on the access to financial services by Vietnamese farmers. The number of respondents in this study is 402 household heads participating in six diverse agricultural value chains in Vietnam. The explanatory variables of the Multinomial Logit model estimates variables at the individual characteristics while the Mixed Logit model can combine the two types of variables together to estimate the effects simultaneously. On the other hand, the Ordinal Logit model is used to evaluate the determinants of the increase in the quantity of financial services used by individuals. The estimation results show that male-headed households have more access to financial services than females. Younger farmers are more likely to use formal financial services than the elderly. Financial literacy, land ownership, and shocks in agricultural production all have a positive impact on the probability of dealing with banks. In addition, the degree of linkage and credibility of the value chain have a significant positive impact on the accessibility of financial services to farmers. The findings of this study suggest that limiting gender inequality, focusing on youth marketing and developing agricultural value chains will have a positive impact on farmers' access to financial services.

• Communications for Statistical Applications and Methods
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• 제21권6호
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• pp.501-512
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• 2014

Stylized facts on asset return are fat-tail, asymmetry, volatility clustering and structure changes. This paper simultaneously captures these characteristics by introducing a multi-regime models: Finite mixture distribution and regime switching GARCH model. Analyzing the daily KOSPI return from $4^{th}$ January 2000 to $30^{th}$ June 2014, we find that a two-component mixture of t distribution is a good candidate to describe the shape of the KOSPI return from unconditional and conditional perspectives. Empirical results suggest that the equality assumption on the shape parameter of t distribution yields better discrimination of heterogeneity component in return data. We report the strong regime-dependent characteristics in volatility dynamics with high persistence and asymmetry by employing a regime switching GJR-GARCH model with t innovation model. Compared to two sub-samples, Pre-Crisis (January 2003 ~ December 2007) and Post-Crisis (January 2010 ~ June 2014), we find that the degree of persistence in the Pre-Crisis is higher than in the Post-Crisis along with a strong asymmetry in the low-volatility (high-volatility) regime during the Pre-Crisis (Post-Crisis).