• Proceedings of the Safety Management and Science Conference
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• 2002.05a
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• pp.237-241
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• 2002

This paper deals with the problem of determining the buyer's economic lot sizing policy for exponentially deteriorating products under trade credit. It is also assumed that the ordering cost consists of a fixed set-up cost and a freight cost, where the freight cost has a quantity discount offered due to the economies of scale. We formulate the mathematical model and the solution algorithm is developed based on the properties of an optimal solution.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.493-499
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• 2023

Trade credit refers to a transaction where a product supplier allows an distributor to defer payment for a certain period of time for the purchase cost of the products. This practice is generally permitted as a means of differentiation between competing companies. Such trade credit is commonly granted based on the volume of transactions, aiming to increase customer orders. From the perspective of the distributor, trade credit allows for a deferred payment period for the purchase cost, leading to cost savings in inventory investment. These cost savings in inventory investment can be a factor in reducing selling prices with the aim of increasing customer demand. In this study, we analyze a model that determines the optimal selling price and order quantity from the perspective of the distributor, assuming that the supplier allows a deferred payment period dependent on the transaction volume. We assume that the final customer's annual demand exhibits an exponential decrease with respect to the distributor's selling price, using a constant price elasticity function. To analyze the problem, we assume that the product deteriorates at a constant rate over time and aim to establish an inventory model for the intermediate distributor. We also want to analyze the impact of deterioration on the inventory policies of the intermediate distributor.

• The Korean Journal of Financial Management
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• v.22 no.2
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• pp.71-89
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• 2005

The purpose of this research is to examine X-efficiency of Korean local credit unions in 2001 by employing the stochastic frontier approach. This study uses the intermediation approach in order to define outputs and inputs of the credit unions. We define the outputs as the amounts of loans, and securities. The inputs are labor, deposit and physical capital. The price of labor is estimated by dividing the total wages by the number of employees. The price of deposit equals total interest divided by total deposit, and the price of physical capital is also computed to divide the total sales and administrative expenses by the physical capital. By the result of this study, the average efficiency score is 0.81. This fact indicates that credit unions can reduce their inputs by 19% for the given outputs. If results are arranged into quartiles based on the efficiency, inefficiency of top 25% credit unions is below 9%, and half of them is over 17%. In addition, e result shows that the efficiency is significantly influenced by region and size even if credit unions in Seoul and Daegu showed little difference in efficiency by size. Generally, medium size credit unions are more efficient than large size.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.4
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• pp.9-20
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• 2018

Global rating agencies, such as Moody's and S&P, have assigned credit ratings to corporate bonds issued by Japanese firms since 1980s. Local Japanese rating agencies, such as R&I and JCR, have more market share than the global raters. We examine the yield spreads of 1,050 yen-denominated corporate bonds issued by financial firms in Japan from 1998 to 2014 and find no evidence that bonds rated by at least one global agency are associated with a significant reduction in the cost of debt as compared to those rated by only local rating agencies. Unlike non-financial firms, the reputation effect of global rating agencies does not exist for Japanese financial firms. We also observe that firms with less information asymmetry are more likely to acquire ratings from Moody's or S&P. Additionally, the firm's financial profile does not affect its choice to seek out ratings from global raters. Our findings are contradictory to those by Han, Pagano, and Shin (2012), who employ bonds issued by non-financial firms in Japan. Our conjecture is that the asymmetric nature of financial firms makes investors less likely to depend on a credit risk assessment by rating agencies in determining the yields of new bonds.

• Journal of the Korean Operations Research and Management Science Society
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• v.18 no.2
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• pp.175-182
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• 1993

The probabilistic order level inventory model is developed when a supplier allows some credit period T for settling the accounts for purchase quantity. The credit period T is known constant. Mathematical models are derived for both the cases i) T'.leq. T and ii) T'>T. Expressions are derived for average expected total cost of the system, the optimum cycle time and for obtaining optimum order level S = S$_{0}$ in each case. The exmaples are given to illustrate the model.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.5
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• pp.545-551
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• 2005

The main objective of fraud detection is to minimize costs or losses that are incurred due to fraudulent transactions. Because of the problem's nature such as highly skewed, overlapping class distribution and non-uniform misclassification costs, it is, however, practically difficult to generate a classifier that is near-optimal in terms of classification costs at a desired operating range of rejection rates. This paper defines a performance measure that reflects classifier's costs at a specific operating range and offers a cost-sensitive learning approach that enables us to train classifiers suitable for real-world credit card fraud detection by directly optimizing the performance measure with evolutionary programming. The experimental results demonstrate that the proposed approach provides an effective way of training cost-sensitive classifiers for successful fraud detection, compared to other training methods.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.585-592
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• 2022

The purpose of this paper is to examine the relation between executive excesss compensation and credit rating. According to the prior research which show the negative effects of excess compensation on a firm's future performance, this paper expects the negative effect of excess compensation on credit rating. Using a sample of Korean listed non-financial firms from 2014 to 2019, I perform the multivariate regressions analysis of excess compensation on credit rating. I find that excess compensation is negatively related to credit rating when executive compensation exceed expected executive compensation. Moreover, I find that the result is constant when a fim belongs to small-medium business. These results show that credit rating is affected by executive excess compensation and the relation could be different by the type of firm's size. Therefore, this study contributes to the literature by suggesting the possibility that capital market is aware of negative effect of executive excess compensation.

• Journal of the Korea Society of Computer and Information
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• v.23 no.6
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• pp.59-66
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• 2018

Recently, the use of mobile payment, called "Pay" payment, is increasing such as 'KakaoPay' and 'SamsungPay'. In Korea, various mobile payment services are running and emerging. The purpose of this study is to examine the intention to switch from using existing credit cards or check card to mobile payment service based on the two-factor theory. We empirically examined the effect of the two factors, the factors that enable switching and the factors that inhibit switching. Therefore, the study use switching cost and switching benefit as parameters to confirm the effect on the switching intention. In addition, this study intends to analyze the differences between two subgroups by the degree of personal innovativeness. We survey smartphone users and credit card or check card users, and analyzed the Smart PLS 3.0 using structural equation model to verify the significance of the research hypothesis.

• Journal of Korean society of Dental Hygiene
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• v.9 no.2
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• pp.179-191
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• 2009

The purpose of this study was to examine the needs of dental hygiene students at a lifelong education center of a three-year-course college for a credit bank system. The subjects in this study were 200 dental hygiene students at a college located in J, which offered courses of a credit bank system. A survey was conducted from May 19 to 23, 2008, to gather data on the acquisition of a bachelor's degree and the credit bank system, and the answer sheets from 184 respondents(92%) were collected. After the collected data were analyzed with SPSS/WIN 12.0 program, the following findings were given: 1. In regard to an intention of taking a bachelor's degree, the largest number of the students investigated(74.5%) intended to do that if they had any chance. As for the reason, 55.6% wanted to get the degree in pursuit of their own personal development. 2. Concerning how to win a bachelor's degree, the largest group that accounted for 63.0% preferred the credit bank systems of college lifelong education centers. 41.8% got interested in the credit bank system mainly because their acquaintances informed them of it. It shows that colleges should reinforce publicity activities if they want to offer the credit bank system. 3. The quality of educational programs and cost had an impact on the choice of an educational institution when they planned to get a bachelor's degree from the credit bank system. Therefore excellent educational programs should be provided, and the government should provide learners with economic help and fund educational institutions. 4. As to comparison of a regular college and the credit bank system as a way to get a bachelor's degree, that was considered to be helpful for finding a job(a mean of 3.39) and for the development of sociability(3.22). That was also deemed to be of use for the improvement of practical job performance, to win public recognition and to be helpful for being well-cultivated, though not many students had those opinions. They took a different view according to academic year(p<.05). 5. Regarding the expected effects of getting a degree from the credit bank system, the greatest group expected it to step up their personal development(3.85). The second largest group expected it to boost job efficacy(3.30), and the students whose academic year was higher had a better opinion. 6. As for future directions for the credit bank system, the largest group put emphasis on the improvement of social perception through intensive P.R. and the enhancement of the qualifications of professors and lecturers(4.02). These opinions were more stressed by the juniors than by the sophomores and seniors, and academic year made a significant difference to their views(p<.05).

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.193-208
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• 2020

In this study, we investigate the effects of technology innovation investments and employment on credit ratings of very small start-up businesses using the data period of 2009 till 2015 test two hypotheses: asymmetric information hypothesis or competence hypothesis. We use financial and non-financial data of 51,903 observations of 12,028 small businesses from a database of a commercial bank and fixed effects panel models and two-stage instrumental variable models. We find that in the short-run small size startups show lower credit ratings than non-startups, and that both technology innovation activities and employment capability improve their credit ratings. In the long-run, technology innovation investments do not improve their credit ratings of later years while employment capability improve their credit ratings of the subsequent year. In addition, the age of startups improves their credit ratings of the current year and until the subsequent two years while employee productivity, fixed ratio and ROA positively affect their credit ratings for up to three years. However, short-term and overall debt ratios, cost of borrowings and firm-size negatively affect their credit ratings for up to three years. The results of the study on credit ratings suggest that credit rating agencies seem to consider both technology innovation activities and employment capability in the credit ratings of small start-ups as 'competence factors' rather than 'asymmetric information factors' with inefficiency and cost burdens. The results also suggest that we must find ways to reflect properly the severe asymmetric information of the early-stage start-ups, and technology innovation activities and employment capability in the credit rating formula.