• The Research Journal of the Costume Culture
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• v.7 no.6
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• pp.41-53
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• 1999

Fashion marketing channels experience conflicts inevitably because of constant interaction among fabric producers, apparel manufacturers, contractors, and retailers. However, it is rarely that attempts has been made to identify causes of conflicts in distribution channel of fashion industry. The purpose of this study was to explore causes of conflicts from the standpoint of a contractor. For this study, data were collected from the owner or the manager represented with a contractor in fashion maketing channels. By means of in-depth interviews with multiple informants, their statement was analyzed qualitatively. From analysis of the resulting data, the causes of conflict were associated with two broad sets, attitudinal and structural differences between apparel manufacturers and contractors. First, attitudinal sources of conflict were identified as perception of subordinated relationships between channel members, delayed announcement on order changes, difficulties in communication by using different terms, different expectations between channel members in controlling product quality, and lack of credit in inspecting products. Second, structural sources of conflict involved unilateral decision on wages for contracting, lengthy payment period derived from a bill of credit, deficient autonomy in selecting auxiliary suppliers, unreasonable issues on lead time, and unfair transaction in selecting a contractor or inspecting finished products. There are limitations on generalization due to the results based on interviews, but this study will be a useful exploratory step before designing a large scale survey.

• Journal of Distribution Science
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• v.21 no.9
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• pp.115-121
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• 2023

Purpose: This study aimed to deal with disputes between the seller and the buyer in connection with the Letter of Credit (LC) in a sales contract. The Contracts for the International Sale of Goods (CISG) provides the rules on the fundamental breaches which can lead to termination of the sales contract but the CISG is not enough to govern issues arising from the LC disputes when the sales contract is not clear about the payment terms. This paper tried to find some solutions to the disputes by considering international rules, such as the Principles of European Contract Law (PECL). Research design, data and methodology: The methodology applied in this study was an analysis of some court decisions and extended literature review. Results: The study revealed that in contracts for the sale of international goods, the buyer was obliged to open an LC as manner of payment. If the buyer failed to open an LC or amend the terms of the LC, the seller could avoid the contract because this could deprive the seller's expected interest. Conclusions: Few studies in Korea have been comprehensively analyzed in terms of the obligations of regarding the LC with respect to the CISG in court cases. This study suggests safeguarding the buyer and seller when the LC is considered absolute or conditional.

• Journal of the Korean Solar Energy Society
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• v.36 no.5
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• pp.9-18
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• 2016

G-SEED(Green Standard for Energy and Environmental Design) is the certification system to evaluate environmental friendliness of buildings for the purpose of reducing environmental burden generated from the entire process of buildings, which is classified into 4 grades according to the evaluated score. Green building certification rule regulate to get over green 2nd grade for the public office buildings of $3000m^2$ or more. However, detailed measures on the applied level of each issue to obtain targeted certification grade have not been prepared yet. For each issue, the score distribution and the ratio of score in proportion to credit were analyzed by certification grade for office buildings which get the G-SEED certification. And applied level of issues were presented for each certification grade.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.4
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• pp.61-68
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• 2019

As high schools implement credit completion system these days, concerns about the dissolution of classes, which are the original stable groups of studying and living, and the instability of the basal space, is growing due to the extended operation of moving optional classes. The purpose of this research is to understand the effect that environmental features of the basal space within the school and the operation method have on the students' space use and formation of attachment place within the school. For this, the main activity places, attachment places, school life satisfaction and others were investigated at 2 Japanese credit-based comprehensive high schools, which are different in the physical environmental features of school buildings. Based on this, a quantitative analysis about the distribution of activity places and attachment places was implemented. The space use features for each student attribute were compared, and the school life satisfaction for each type of attachment place formation was analyzed. As a result, the change of the territorial consciousness about the class space according to the implementation of moving optional classes could be understood. And it was confirmed that the students' space using behavior and place evaluation change according to the physical environmental feature of the class space and common space, and that this is affecting the life satisfaction of students.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.407-419
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• 2006

In this paper, we analyze household overdue loans in Korea which has been causing serious social and economical problems. We consider customers of Bank A in Korea and focus on overdue cash services which have been snowballing in the past few years. From analysis of overdue loans, one can predict possible delays for current customers as well as build a credit evaluation and risk management system for future customers. As a statistical analytical tool, we propose a two-stage Generalized Linear regression Model (GLM) which assumes a logistic model for presence/non-presence of overdue and a gamma model for the amount of overdue in the case of overdue. We perform goodness of fit test for the two-stage model and select significant explanatory variables in each stage of the model. It turns out that age, the amount of credit loans from other financial companies, the amount of cash service from other companies, debit balance, the average amount of cash service, and net profit are important explanatory variables relevant to overdue credit card cash service in Korea.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.197-212
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• 2022

The study uses the audited financial statements of 26 Vietnamese commercial banks listed on the Ho Chi Minh City Stock Exchange (HOSE) and Hanoi Stock Exchange (HOSE) during the 2008-2018 period to estimate the system GMM model, which provides empirical evidence on the effect of the variables of customer deposit to total assets (DEPO) ratio, loan to assets (LTA) ratio, liquidity of commercial banks (LIQ), credit development (CRD) ratio, external funding (EFD) ratio, and credit loss provision (LLP) ratio on liquidity risk. The study confirms that commercial banks' internal factors play the most important role, and there is no empirical evidence on macro variables that affect liquidity risk. Finally, in accordance with the theoretical framework, the study uses an estimation method with the R language and the bootstrap methodology to give empirical proof of the nonlinear correlation and U-shaped graph between commercial bank size and liquidity risk. The importance of commercial bank size in absorbing and moderating the effects of liquidity shocks is demonstrated, however, excessive growth in commercial bank size would increase liquidity risk in commercial bank operations.

• Communications for Statistical Applications and Methods
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• v.27 no.5
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• pp.579-588
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• 2020

Obligor defaults are cross-sectionally correlated as obligors share common economic conditions; in addition obligors are longitudinally correlated so that an economic shock like the IMF crisis in 1998 lasts for a period of time. A longitudinal correlation should be used to construct statistical scenarios of stress test with which we replace a type of artificial scenario that the banks have used. We propose a Bayesian model to accommodate such correlation structures. Using 402 obligors to a domestic bank in Korea, our model with a dynamic correlation is compared to a Bayesian model with a stationary longitudinal correlation and the classical logistic regression model. Our model generates statistical financial statement under a stress situation on individual obligor basis so that the genearted financial statement produces a similar distribution of credit grades to when the IMF crisis occurred and complies with Basel IV (Basel Committee on Banking Supervision, 2017) requirement that the credit grades under a stress situation are not sensitive to the business cycle.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.60
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• pp.177-194
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• 2013

According to the 2013 statistics, the small/medium-sized enterprises (SMEs) accounted for 99.9% of the Korean economy with 87.8% of employment. This simple figures also indicate SMEs export extension is a key task for the national economy stimulation and job creation. The SMEs export plunge has been affected by the European financial turbulence, US financial instability, developing countries like China entering foreign markets, a weak yen, etc. EXIM Bank, in this context, will need to take a more proactive attitude to provide trade finance by, for example, reviewing the business feasibility for SMEs with a lower credit rank or investigating importers' credit status, etc. Moreover EXIM Bank provides factoring service mostly to large companies and should lower its threshold for service provision to SMEs. Finally EXIM Bank should play more than a primary forfeiting market entity. It also needs to facilitate the secondary forfeiting market.

• The Korean Journal of Applied Statistics
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• v.24 no.2
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• pp.269-278
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• 2011

There are many researches that have considered the distribution functions and appropriate covariates corresponding to the scores in order to improve the accuracy of a diagnostic test, including the ROC curve that is represented with the relations of the sensitivity and the specificity. The ROC analysis was used by the regression model including some covariates under the assumptions that its distribution function is known or estimable. In this work, we consider a general situation that both the distribution function and the elects of covariates are unknown. For the ROC analysis, the mixtures of normal distributions are used to estimate the distribution function fitted to the credit evaluation data that is consisted of the score random variable and two sub-populations of parameters. The AUC measure is explored to compare with the nonparametric and empirical ROC curve. We conclude that the method using normal mixtures is fitted to the classical one better than other methods.

• Communications for Statistical Applications and Methods
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• v.19 no.2
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• pp.277-286
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• 2012

For credit assessment models, the ROC curves evaluate the classification performance using two univariate cumulative distribution functions of the false positive rate and true positive rate. In this paper, it is extended to two bivariate normal distribution functions of default and non-default borrowers; in addition, the bivariate ROC curves are proposed to represent the joint cumulative distribution functions by making use of the linear function that passes though the mean vectors of two score random variables. We explore the classification performance based on these ROC curves obtained from various bivariate normal distributions, and analyze with the corresponding AUROC. The optimal threshold could be derived from the bivariate ROC curve using many well known classification criteria and it is possible to establish an optimal cut-off criteria of bivariate mixture distribution functions.