• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.6
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• pp.135-154
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• 2020

This paper analyzes the 5,521 samples of the small and medium-sized businesses(SMBs) obtained from the Korea Credit Guarantee Fund. From January 2014 to September 2019, 85% of the SMBs have 5 or fewer full-time employees. The proportion of SMBs is overwhelmed by the elderly men, and most founders are the CEO. Also, about 87% of the workplace types are rented, while 64% of the CEO's residence types are owner-occupation. 47% of the financial grade score is less than 10 points out of 100 and 80% of SMBs have less than 200 million won of the loan guarantee. In particular, the total guarantee loan amount or the days of net guarantee have significantly positive relations with the working period of the CEO in the same industry, the number of employees, the operation period of SMBs, and the corporate business type. In the case of the financial grading score which has the highest weight in overall credit rating gets higher with the higher number of employees, the longer the operation period, and the corporate business type. However, the quantified non-financial grading score has no significant relationship with other explanatory variables, except for the corporate business type. This implies that a non-financial grade score is measured by other determinants that are not observed by the Korea credit guarantee fund. The pure non-financial grade score has positive relations with the working period of the CEO. Overall, this paper would help Korean SMBs upgrade their credit ratings and expand the money supply when there is no standardized credit rating model or no publicly available evaluation criteria for SMBs. We expect this paper provides important insights for further research and policy-makers for SMBs. In particular, to address the financial needs of thin-filers such as SMBs, technology-based financial services (TechFin) would use alternative data to evaluate the financial capabilities of thin-filers and to develop new financial services.

• The Korean Journal of Applied Statistics
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• v.22 no.2
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• pp.237-248
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• 2009

The probability of default on the credit evaluation study is represented as a linear combination of two distributions of default and non-default, and the distribution of the probability of default are generally known in most cases. Except the well-known Kolmogorov-Smirnov statistic for testing the identity of two distribution, Kuiper, Cramer-Von Mises, Anderson-Darling, and Watson test statistics are introduced in this work. Under the assumption that the population distribution is known, modified Cramer-Von Mises, Anderson-Darling, and Watson statistics are proposed. Based on score data generated from various probability density functions of the probability of default, the modified test statistics are discussed and compared.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.10
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• pp.3627-3641
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• 2021

Fintech, which stands for financial technology, is growing fast globally since the economic crisis hit the United States in 2008. Fintech companies are striving to secure a competitive advantage over existing financial services by providing efficient financial services utilizing the latest technologies. Fintech companies can be classified into several areas according to their business solutions. Among the Fintech sector, peer-to-peer (P2P) lending companies are leading the domestic Fintech industry. P2P lending is a method of lending funds directly to individuals or businesses without an official financial institution participating as an intermediary in the transaction. The rapid growth of P2P lending companies has now reached a level that threatens secondary financial markets. However, as the growth rate increases, so does the potential risk factor. In addition to government laws to protect and regulate P2P lending, further measures to reduce the risk of P2P lending accidents have yet to keep up with the pace of market growth. Since most P2P lenders do not implement their own credit rating system, they rely on personal credit scores provided by credit rating agencies such as the NICE credit information service in Korea. However, it is hard for P2P lending companies to figure out the intentional loan default of the borrower since most borrowers' credit scores are not excellent. This study analyzed the voices of telephone conversation between the loan consultant and the borrower in order to verify if it is applicable to determine the personal credit score. Experimental results show that the change in pitch frequency and change in voice pitch frequency can be reliably identified, and this difference can be used to predict the loan defaults or use it to determine the underlying default risk. It has also been shown that parameters extracted from sample voice data can be used as a determinant for classifying the level of personal credit ratings.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.105-113
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• 2015

If the watchdog role of good corporate governance, corporate executives and reduce agency costs and information asymmetries. Corporate governance score higher because enterprise internal control systems and financial reporting system is well equipped with the company management is enabled and corporate performance is higher because the high financial credit rating. Under these assumptions and hypotheses set up this study corporate governance (CGI) has been studied demonstrated how the financial impact on the credit rating (CFR). Findings,

relevant corporate governance (CGI) and financial credit rating was found to significantly affect the positive (+), Regression coefficient code is expected code of positive (+), the value

indicated by the value of all positive. The results of corporate governance (CGI) has showed excellent results, such as the more predictable will increase the credit score financial rating. The results of this study will have more CGI-credit financial rating the greater good. This study might be expected to provide a useful guide that corporate social responsibility, the company with a good governance and oversight systems enable to to get a higher credit rating in practice and research.

• Journal of Engineering Education Research
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• v.16 no.4
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• pp.15-20
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• 2013

The result of the English test for freshmen showed wide difference in the ability of students, which means the graded class is strongly required. This paper describes the case study about the graded English class that was carried out for the freshman. Every freshman must take an English placement test from problems bank and were classified according to the result of the test. In order to resolve the dissatisfaction of the high level students, the statutes of my university for credit were modified. In order to analyze the effect of the graded class, evaluation test using similar problems was carried out at the end of the semester. The effect of the graded class was analyzed by using the paired samples t-test method and there was a meaningful performance improvement at the average score. Additional improvements in the method of classification and credit granted were made by analyzing the results of the evaluation test and survey.

• Journal of the Korea Management Engineers Society
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• v.23 no.4
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• pp.105-123
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• 2018

The purpose of this study is to verify whether the technology grade, which is the result of technology appraisal by Technology Credit Bureau, can be extended and applied to the venture certification system. We confirmed that there was a significant difference in the average financial performance for three years after the certification and appraisal of the two groups after matching the venture certification enterprise group and the technology appraisal enterprise group in 2015 through the propensity score matching method. As a result, there was no significant difference in the financial performance of venture certified firms and technology appraisal firms, so we confirmed that the technology grade can be expanded and applied to the venture certification system. As a result of estimating the technology grade conforming to the venture certification system, it was concluded that technology outstanding firm(T1-T4) is a technology grade suitable for the venture certification system.

• The Korean Journal of Emergency Medical Services
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• v.13 no.2
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• pp.17-59
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• 2009

Purpose : This study is to provide the basic data for developing the curriculum standardization of emergency medical technology by analyzing the three-year and four-year period curriculum and high-advanced major course to bring up highly qualified paramedics. Method : This study was analyzed, divided in 3 sections, majors, teaching profession subjects and liberal arts of 18 three-year curriculum universities and 7 four-year curriculum universities. Majors were analyzed, departmentalized in the national examination for license, the clinical and on-the-job training(OJT) and other major-related subjects. It is descriptive study, analyzed by dividing high-advanced major course into majors and liberal arts. Result : 1) The average number of subjects established in three-year-course college were 58.1. The completion credit was 130.1 in average. Also, the average number of established subjects at four-year-course were 61.1. The average completion credit was 141. 2) Three-year-course college professors give lecture in theory for 95.4 hours on average, which account for 59.9% of overall lecture, and 63.8 hours for practical training that takes 40.1% of the hours lectures are given. Meanwhile, four-year-course give lecture in theory for 111 hours on average, taking a part of 59.5%, and 76.5 hours for practical training, 40.5%. 3) In regard to liberal arts, at three-year-course college, the average credit was 16 but the proportion that liberal arts charge among the completion credit was 11.6. Meanwhile, at four-year-course universities, the average credit was 28.4 and the percentage that the liberal arts took part in the completion credit was 20.1. 4) Looking over national examination subjects among majors at three-year-course college, basic medicine's average credit was 17.2, introduction to advanced emergency care's average credit was 15.5, Special advanced emergency care's average credit was 28, emergency patient management's average credit was 9.2 and emergency medicine statute's average credit was 3.6. Meanwhile, in case of four-year-course universities, basic medicine's average credit was 14.3, introduction to advanced emergency care's average credit was 12.7, special advanced emergency care's average credit was 31, emergency patient management's average credit was 8.3 and emergency medicine statute's average credit was 2.9. 5) Among national examination subjects, in case of three-year-course, the range of basic medicine credits was 6 to 23, the average credit showed 17.2. The range of introduction to advanced emergency care credits was 9 to 21, the average credit showed 15.5. The range of special advanced emergency care credits was 19 to 36, the average credit showed 28. The range of emergency patient management credits was 5 to 12, the average credit was 9.2. The range of legal medicine credits was 3 to 6, the average was 3.6 credit. In case of four-year-course the range of basic medicine was 12 to 17, the average of the credit was 14.3. The range of introduction to advanced emergency care was 9 to 19, and the average of the credit was 12.7. The range of special advanced emergency care was 18 to 41, and the average of the credit was 31. The range of emergency patient management was 7 to 12, and the average of the credit was 8.3. The range of legal medicine was 3 to 4, and the average of the credit was 2.9. So except special advanced emergency care, all the other subjects had higher score in three-year-course than four-year-course. 6) About the other major-related subjects, the completion credit was 23 on average at three-year-course and 13.5 at four-year-course. 7) The clinical and on-the-job training(OJT), In the case of three-year-course, the average completion credit was 13.5 and 13.5 at four-year-course. 8) The teaching profession subject, In the case of three-year-course, the average credit was 3 and the percentage that the teaching profession subject took part in the completion credit was 2.3% on average. Four-year-course established the subject only at one university. 9) In high-advanced major process, the entire established subjects on average were 12.8 and the average completion credit was 36.3. In liberal arts, the average established subjects were 6.5 and the completion credit was 19.5. The number of majors were 9.5 on average and the credit was 26.5 Conclusion : According to the aforemention results, the curriculum for emergency medical technology needs to be developed and standardized.

• 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.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.1044-1051
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• 2002

This paper proposes a two-phase mathematical programming approach by considering classification gap to solve the proposed credit scoring problem so as to complement any theoretical shortcomings. Specifically, by using the linear programming (LP) approach, phase 1 is to make the associated decisions such as issuing grant of credit or denial of credit to applicants. or to seek any additional information before making the final decision. Phase 2 is to find a cut-off value, which minimizes any misclassification penalty (cost) to be incurred due to granting credit to 'bad' loan applicant or denying credit to 'good' loan applicant by using the mixed-integer programming (MIP) approach. This approach is expected to and appropriate classification scores and a cut-off value with respect to deviation and misclassification cost, respectively. Statistical discriminant analysis methods have been commonly considered to deal with classification problems for credit scoring. In recent years, much theoretical research has focused on the application of mathematical programming techniques to the discriminant problems. It has been reported that mathematical programming techniques could outperform statistical discriminant techniques in some applications, while mathematical programming techniques may suffer from some theoretical shortcomings. The performance of the proposed two-phase approach is evaluated in this paper with line data and loan applicants data, by comparing with three other approaches including Fisher's linear discriminant function, logistic regression and some other existing mathematical programming approaches, which are considered as the performance benchmarks. The evaluation results show that the proposed two-phase mathematical programming approach outperforms the aforementioned statistical approaches. In some cases, two-phase mathematical programming approach marginally outperforms both the statistical approaches and the other existing mathematical programming approaches.

• Journal of East-West Nursing Research
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• v.21 no.1
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• pp.36-42
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• 2015

Purpose: This study was conducted to identify the level of job stress and to determine factors influencing job stress among nurses currently under Academic Credit Bank (ACB) system. Methods: The participants were 153 nurses who has taken courses of ACB system. Data were collected through self-report questionnaires and then analyzed with t-test, ANOVA, Pearson correlation coefficients, and multiple linear regression with SPSS/WIN 18.0. Results: The score of job stress showed significant differences according to age, marital status, total period of clinical career, and nursing unit. Job stress had significant negative correlation to professional self-concept and organizational commitment. The factors influencing job stress were marital status, professional self-concept, and organizational commitment. Conclusion: The results suggest that various factors should be considered in development and implementation of programs to reduce the job stress of nurses currently under ACB system.