• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2008년도 추계 공동 국제학술대회
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• pp.164-169
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• 2008

The increasing late-payment rate of credit card customers caused by a recent economic downturn are incurring not only reduced profit of department stores but also significant loss. Under this pressure, the objective of credit forecasting is extended from presumption of good or bad customers to contribution to revenue growth. As a method of managing defaults of department store credit card, this study classifies credit delinquents into some clusters, analyzes repaying patterns of customers in each cluster, and develops credit forecasting system to manage delinquents of department store credit card using data of Korean D department store's delinquents. The model presented by this study uses Kohonen network, a kind of artificial neural network of data mining techniques to cluster credit delinquents into groups. Logistic regression model is also used to predict repayment rate of customers of each cluster per period. The accuracy of presented system for the whole clusters is 92.3%.

• 수산해양교육연구
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• 제28권5호
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• pp.1209-1219
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• 2016

In knowledge based society, lifelong learning is increasing in order to meet educational needs of adult learners. Credit Bank system which is credited by individual experience, learning and qualifications are also emphasized for continuing learning participation. However, in spite of the importance of concern in the Credit Bank System, adult learners expectation and value are not high. The purpose of this study is to analyze participation valence and learning flow of adult learner in the Credit Bank System. The result of this study is summarized as follows: first, adult learners participated in the Credit Bank System to get new knowledge and skill based on internal and external motivation and requirement not involved with individual degree. Second, adult learners participating in the Credit Bank System are experiencing learning flow realizing that behavior of participation is compensated, adult learners are concentrating and feeling with satisfaction and pleasure to study. Third, participation in the Credit Bank System based on adult learner's own right learning requirement have been analyzed as it has a positive effect to the learning flow and have indicated that adult learners having high level of valence experience, recognition immersion, behavioral devotion, and egoistic immersion. Based on the conclusion, further studies are suggested.

• 경영과학
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• 제20권2호
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• pp.165-177
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• 2003

This paper presents the prototype of corporate credit rating system using analytic hierarchy process (AHP). Prior studios have proposed various models of credit rating system, but most studies considered only financial information. Financial information, however, is only a small part of corporate information. In this study, the proposed credit rating system integrates both financial and non-financial information. Fifteen corporations are tested for the usefulness of the proposed system.

• 패션비즈니스
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• 제19권6호
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• pp.74-81
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• 2015

The purpose of this study is to analyze the operation situation & academic research trends in Seoul and Gyeonggi area, based on theoretical consideration on academic credit bank system, focusing on academic credit bank system where a lifelong education institute affiliated with a university produces graduates with associate's degree. To find out about how academic credit bank institutes are operated in cosmetology field, the analysis of literature review was used, in reference to the literatures as well as administrative data from the Ministry of Education and institutes for lifelong education with respect to academic credit bank system. Further, dissertations and articles in journals were also reviewed for analysis, in order to see academic research trends with respect to academic credit bank system in cosmetology, and finally to provide the directions for a follow-up study in the future. It was found that about 120 junior colleges have cosmetology departments, while only about 20 4-year universities have them, where lifelong education systems such as lifelong education are essential for learners to have bachelor's degree to go to a graduate school in reality. Every year more people want to learn and acquire the degree through a lifelong education institute affiliated with a university. In this regard, it is thought that there should be first positive social awareness towards a degree recipient from such educations and more administrative promotion and active engagement of government, businesses and schools, in order to vitalize academic credit bank system. Meanwhile, there are only about 10 academic literatures including the dissertations on the operation of academic credit bank system with respect to cosmetology, which is not sufficient number in academic research, compared to the increasing number of people who want to acquire the degree. Most of the preceding studies have been limited to education services and learners' satisfaction level. Therefore, continuous follow-up study is required on how to improve social awareness as well as teachers and instructors' satisfaction level, as well as how to develop industry-customized curriculum, in order to ensure active academic credit bank system.

• 한국정보시스템학회지:정보시스템연구
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• 제16권3호
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• pp.109-132
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• 2007

In the paper, we builds an advanced new credit evaluation system for Micro-small sized individual firms through appropriate evaluation factors derived by logistic regression analysis for credit evaluation model using in Korean Federation of Credit Guarantee Foundations, and the weights of factors computed by analytic hierarchy process(AHP). Industry characteristics are more applied to previous credit model with the additional the financial fact-information and non-financial judgement-information. Our results show that the financial factors have become more important than three years ago. Moreover, in the non-financial factors, the fact-information factors consider more important then the judgement-information factors. A new credit evaluation system is developed based on this credit evaluation model.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2003년도 Proceeding
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• pp.149-154
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• 2003

Credit scoring system (CSS) starts from an analysis of delinquency trend of each individual or industry. This paper conducts a research on credit card delinquency of bank customers as a preliminary step for building effective credit scoring system to prevent excess loan or bad credit status. To serve this purpose, we use association rules that ore generating method. Specifically, we generate sets of rules of customers who are in bad credit status because of delinquency by using association rules. We expect that the sets of rules generated by association rules could act as an estimator of good or bad credit status classifier.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.51-60
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• 2023

This study focuses on the design of a GPT-based system for relatively rapid technology credit assessment of SMEs. This system addresses the limitations of traditional time-consuming evaluation methods and proposes a GPT-based model to comprehensively evaluate the technological capabilities of SMEs. This model fine-tunes the GPT model to perform fast technical credit assessment on SME-specific text data. Also, It presents a system that automates technical credit evaluation of SMEs using GPT and LLM-based chatbot technology. This system relatively shortens the time required for technology credit evaluation of small and medium-sized enterprises compared to existing methods. This model quickly assesses the reliability of the technology in terms of usability of the base model.

• The Journal of Asian Finance, Economics and Business
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• 제9권8호
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• pp.89-97
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• 2022

The e-commerce market faces significant credit risks due to the complexity of the industry and information asymmetries. Therefore, credit risk has started to stymie the growth of e-commerce. However, there is no reliable system for evaluating the creditworthiness of e-commerce companies. Therefore, this paper constructs a credit risk evaluation index system that comprehensively considers the online and offline behavior of online retail enterprises, including 15 indicators that reflect online credit risk and 15 indicators that reflect offline credit risk. This paper establishes an integration method based on a fuzzy integral support vector machine, which takes the factor analysis results of the credit risk evaluation index system of online retail enterprises as the input and the credit risk evaluation results of online retail enterprises as the output. The classification results of each sub-classifier and the importance of each sub-classifier decision to the final decision have been taken into account in this method. Select the sample data of 1500 online retail loan customers from a bank to test the model. The empirical results demonstrate that the proposed method outperforms a single SVM and traditional SVMs aggregation technique via majority voting in terms of classification accuracy, which provides a basis for banks to establish a reliable evaluation system.

• Current Research on Agriculture and Life Sciences
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• 제3권
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• pp.203-218
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• 1985

In Korea, the developmental gap is deep between rural and urban areas in spacial aspect and, or between agricultural and industrial side. So there are much room for improvement in agri. development in national standpoint as well as in individual farmer's level. In this respect, agricultural financing is requisitive to speed up the pace of agricultural development and in result, to contribute to improvement of farm income. By the way, farmers' credit demands are always in excess-demand status and they rely on private money-lenders in the burden of high interest rate. In agricultural financing market, there are two kinds of credit ; institutional credit and non-institutional credit market, that is private money-lending. In institutional credit, there are mutual credit system operating by the primary coops and policy credit system by NACF financed by Government in part. Here, in this paper, I venture to study on the improvements of the policy credit system to increase and activate the supply function of agri. policy credit into farmers to enhance their socio-economic status.

• 한국컴퓨터정보학회논문지
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• 제11권1호
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• pp.237-242
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• 2006

현재 오프라인 신용카드가맹점에서의 신용카드 결제 시에 사용되는 결제 시스템은 신용카드 결제 단말기, 결제 중계 서비스를 하는 VAN사 그리고 신용카드사로 구성되어 있다. 신용카드사 장애 시에는 결제중계 서비스 VAN사가 승인 대행을 하여 처리하나, 결제 중계 서비스 VAN사 장애 시에는 신용카드 결제서비스가 원활하게 이루어지지 않는다. 본 논문은 결제 중계 서비스를 하는 VAN사의장애 시에 신용카드 결제 단말기가 전문변환 Agent를 이용하여, 다른 서비스 VAN사에서 결제 중계 서비스를 받을 수 있도록 하는 신용카드 결제 시스템을 구현하였다.