• The Journal of Fisheries Business Administration
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• v.47 no.2
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• pp.43-59
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• 2016

This study investigated the difference of the effects of public loan programs in fishery industry on management performance from a balanced score card (BSC) perspective depending on the type of loan, scale of fund, period of support and business category, using the financial data of fisheries firms having the balance of loan at the end of 2014. The key factors influencing credit rating change were also analyzed after public loan support. From a integrative perspective, results show that the firms supported by working fund have higher management performance than the firms supported by facility fund. The firms received large scale fund showed higher management performance than the firms received small scale fund. While management performance was decreasing or slowing down over time after financial support, management performance of the firms supported by facility fund improved over time. From a non-financial perspective, the firms received facility fund invested more in education and growing perspective than the firms received working fund. As the size of fund increased, the investment in education, growing, internal process and customer increased. Personnel expenses and employee benefits for education and growing has increased over time. However, the firms with facility fund restricted the expenses of education, personnel expenses and employee benefits as time goes by. Because the effects of public loan on credit rating of fisheries corporations have no statistical significance, it has become known that the financial support of public loan program has no influence on the change of credit rating of fisheries corporations. This study attempted performance analysis from a BSC perspective which combine factors of non-financial perspective with factors of financial perspective. Findings from this study suggest the direction of microscopic performance analysis of public loan in fishery industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1594-1602
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• 2012

This study has focused on analyzing the changes of increasing sales and potential growth by different scales of support with funds through effect analysis on governmental policy loan. It provided significant findings for the further governmental policy loan since it conducted the performance analysis of different business respectively, which included business with the governmental policy loan and ones without any loan.

• Journal of the Korean Society of Safety
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• v.33 no.4
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• pp.62-71
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• 2018

The purpose of this study is to conduct surveys on demanders using financial aid projects to prevent industrial accidents and to improve them. It is divided into clean business and loan support business through the structured questionnaire. In the case of clean business, the following results were obtained. Most of the applications were received within three months after application. The most important factor considered by the consumer is the amount of support, which is considered to consider the substantial improvement as follows.The expectation for the reduction of industrial accidents after the project was 96.1% and compared to before and after the actual business, it showed a 46.8% decrease from the previous year. In addition, the cost decreased by 21.8%, the facility utilization rate increased by 24.4%, the sales increased by 15.9%, and the average number of workers increased by 6.0. As for the sustainability of the business, 86.6% of the respondents said that they should continue to do so. The following results were obtained in the case of loan support projects. Industrial accidents decreased by 45.2% from the previous year. Costs decreased by 19.4%, facility utilization rose by 26.7%, sales increased by 14.9%, and the number of workers increased by an average of 2.8. In the case of suppliers, prevention of industrial accidents at the business sites participating in the clean business was the highest factor (67.0%). 89% of respondents were aware of the disposal criteria for ineligible suppliers. 50.6% of the respondents answered that it is appropriate to maintain the current level, and 39.4% of respondents answered that they should strengthen. The prices for the support items were more than 15% higher than the market prices.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.691-704
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• 2016

This study aims to analyze the current situation of Independent loan fund business for disabled for independent and living stabilization of low-income disabled and presented a plan to support effectively. Methods were reanalyzed to obtain the data inside the Ministry of Health and Welfare and conducted a expert survey. The results of this study were First, The budget was 8.1 billion won and target households was 800, but the used budget was about 5.6 billion won(executive rate was 69.3%) and beneficiaries was 384 families. Second, the loan condition was gurantee is 58.5%, pawn is 23.3%, ungurantee is 18.2%. And, the loan type was occupation is 60.0%, car purchase is 35.3%, medical expenses is 2.6% and so on. In addition, 1,735 people apply for a loan fund but 904 people received a loan fund. So, loan rate was 52.1%. Third, business retention rate was 74.7% and close rate was 25.3%. Fourth, expert opinion was government support necessary for the in low-income disabled in social and economic situation of Korea. This study suggested that the loan purpose, loan amount, loan condition, simplified course were needed to consider when establishing policy for low-incone disabled.

• The Journal of Information Technology
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• v.8 no.3
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• pp.11-23
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• 2005

This paper study the way of increasing the credit loan for the Venture Companies. They are very important in national economics. But they are short of financial and mortgage although they have many kinds of superb ideas and technologies. Korean government has tried to financially support them. But the support has had its own limit. Banks and other financial institutions have not been in a positive position to loan money out to venture companies because their businesses are highly risky. The credit evaluation system of medium and small business are need to improve in order to increase the Venture Companies. loan. So, it is necessary to find new measures to activate credit loans to them.

• KDI Journal of Economic Policy
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• v.28 no.2
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• pp.97-129
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• 2006

This study investigates whether dynamic loan loss provisioning is necessary in Korean banking environments. Under the dynamic provisioning rule banks are required to accumulate additional reserves to general and specific provisionings in preparation for expected loan losses until maturity. This provisioning is most effective in the case that banks tend to recognize less loan losses in the business upturns and/or in the periods of increasing profits. The empirical study, however, shows that banks support procyclicality of loan loss privisioning and earning smoothing behavior over profit fluctuations. These findings suggest that Korea would not seriously need the introduction of dynamic loan loss provisioning. But this policy implication does not seem robust in view that the recent experience shows the countercyclicality of loan loss provisioning practices and negative correlation between earnings and provisioning after financial restructuring was completed. This result is partly attributable to vigorous shareholder activism because of high foreign ownership of most commercial banks. Once it is true that bank management is more interested in short-term performances, current loan loss provisioning would have attributes of impairing capital adequacy, hence strengthening loan loss provisiong requirements.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.75-88
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• 2021

Automobile credit business has developed rapidly in recent years, and corresponding default phenomena occur frequently. Credit default will bring great losses to automobile financial institutions. Therefore, the successful prediction of automobile credit default is of great significance. Firstly, the missing values are deleted, then the random forest is used for feature selection, and then the sample data are randomly grouped. Finally, six prediction models of support vector machine (SVM), random forest and k-nearest neighbor (KNN), logistic, decision tree, and artificial neural network (ANN) are constructed. The results show that these six machine learning models can be used to predict the default of automobile credit. Among these six models, the accuracy of decision tree is 0.79, which is the highest, but the comprehensive performance of SVM is the best. And random grouping can improve the efficiency of model operation to a certain extent, especially SVM.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.3
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• pp.81-95
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• 2024

This study empirically analyzed the effectiveness of government financial support policies for venture enterprises in the Daejeon region, using raw data obtained from the Small and Medium Venture Business Administration's survey results from 2016 to 2021. Daejeon, considering its economic significance, has a significant proportion of venture enterprises in its economy compared to the national average, with a focus on technological development. Conducting regression analysis yielded several key findings. Firstly, loan and guarantee support is effective for improving sales and market share, while R&D support is effective for technological development. Second, R&D and loan support have the most significant impact on sales in the fourth stage (maturity), while guarantee support is most influential in the third stage. Third, in industry analysis, the coefficients representing the effects of financial support were larger across all performance indicators compared to firm level data analysis. Based on these empirical analysis results, the study proposes several policy implications as follows. First, the government should actively provide funding support to venture companies rather than leaving investments to the capital market. Second, the methods and targets of funding support should vary according to the purpose of the support. Third, it is necessary to establish a platform that connects venture companies with private investors to commercialize developed technologies. Fourth, the funding support of venture capital for technology-intensive venture companies should be expanded.

• The Journal of Industrial Distribution & Business
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• v.13 no.10
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• pp.1-8
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• 2022

Purpose: Support vector machines (SVMs) ensemble has been proposed to improve classification performance of Credit risk recently. However, currently used fusion strategies do not evaluate the importance degree of the output of individual component SVM classifier when combining the component predictions to the final decision. To deal with this problem, this paper designs a support vector machines (SVMs) ensemble method based on fuzzy integral, which aggregates the outputs of separate component SVMs with importance of each component SVM. Research design, data, and methodology: This paper designs a personal credit risk evaluation index system including 16 indicators and discusses a support vector machines (SVMs) ensemble method based on fuzzy integral for designing a credit risk assessment system to discriminate good creditors from bad ones. This paper randomly selects 1500 sample data of personal loan customers of a commercial bank in China 2015-2020 for simulation experiments. Results: By comparing the experimental result SVMs ensemble with the single SVM, the neural network ensemble, the proposed method outperforms the single SVM, and neural network ensemble in terms of classification accuracy. Conclusions: The results show that the method proposed in this paper has higher classification accuracy than other classification methods, which confirms the feasibility and effectiveness of this method.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.501-506
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• 2021

Under the pressure of business competition and effectiveness, more and more organizations in the world are likely to apply modern software such as enterprise resource planning (ERP) which can help them to create better organizing practice, better managing capabilities of administrators, and better operations of personnel. In Vietnam, many firms are afraid to install it and the number of firms adopting this software is limited mainly due to the insufficient scientific evidence of the successful implementation of ERP. This study aims to identify and measure the factors influencing the successful implementation of ERP of firms in Vietnam. Qualitative research methodology combined with quantitative research methodology is used. The data are surveyed with 343 administrators of 45 organizations that have successfully deployed ERP in Ha Noi and Ho Chi Minh cities. Of these 19 were excluded from analyses due to unsatisfactory responses, and only 324 were used for statistical processing. The collected data were processed by using the SPSS software. The result of the study shows that there are six factors affecting the successful implementation of ERP of firms in Vietnam, (ranked in descending order of importance), they are top management commitment and support, business process re-engineering, user involvement, project management board, vendor support, and suitability of software and hardware.