• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.05a
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• pp.190-197
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• 2007

외환위기 이후 우리나라 금융기관은 상대적으로 위험성이 높은 기업대출보다, 높은 수익성을 가지는 가계 대출에 관심을 기울이게 되었다. 가계대출이 증가함에 따라 개인신용평가의 중요성이 부각되고, 이에 많은 신용평가시스템이 개발되어 왔다. 하지만 기존의 신용평가시스템은 대출 신청 당시의 데이터 및 과거의 데이터를 가지고 개인의 신용을 평가하기 때문에, 미래 상황에 대한 예측은 고려하지 못한다. 시스템 다이나믹스는 시간의 흐름에 따른 각 요인의 변화를 살펴봄으로써 미래 상황에 대한 예측이 가능한 분석 방법이다. 이에 본 연구에서는 시스템 다이나믹스 방법론을 활용하여 개인 신용 상태에 대한 미래의 동태적인 변화를 예측하여, 그 결과를 반영한 신용평가모델을 개발하고자 한다. 이를 위하여, 먼저 신용평점 영향을 주는 변수들을 선정하고, 이 변수들 간의 인과관계를 밝혀낸 후, 인과관계를 토대로 분석 모델을 구축한 뒤, 컴퓨터 시뮬레이션을 실행함으로써, 대출 희망자의 미래의 신용상태 변화 모양을 예측해 본다. 이러한 시뮬레이션 결과를 신용평가에 반영하게 되면, 금융기관의 신용 대출의 위험을 줄이는 데 기여할 것으로 기대된다.

• Information Systems Review
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• v.4 no.2
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• pp.361-376
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• 2002

This paper proposes a framework for integrated credit risk management system in domestic bank financial institutions. Credit evaluation system, loan processing system, credit monitoring system, and credit risk management system are integrated for efficient and effective risk-adjusted performance management in this framework. Risk exposures, not only for each credit, but also for bank's whole credit portfolio need to be measured and analyzed through the concept of Value-at-Risk (VaR). The effects of changes in credit ratings of individual loaners on bank's credit risk exposure are also considered. We tried to model this integrated credit risk management system by using object-oriented modeling language, UML.

• Journal of the Korean Society for information Management
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• v.9 no.2
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• pp.118-153
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• 1992

This study att.empts to conduct a system an;~lysis and dcsign for circt~lation control in a univcr~ity library. In this proccss, structured sysltcm analys15 tcrhn~clucs Iikr data flolv diagrnms. data dictiomiry, and entity - relationship analysis, arc. vmploycd to construct both concqitual and p h p c a l data models of current and new circulation systems. Thc whole design aims at an al~tomntctf c~r.culation system on thc [nlcro-compurcr --basis in a mid dle - sized library.

• Korean Journal of Construction Engineering and Management
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• v.11 no.5
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• pp.32-40
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• 2010

Recent periodical boom and burst of house price have made mortgage lending issues become the main public interest in Korean real estate market. However, because mortgage-lending issues had not been discussed until then, housing market forecasting associated with mortgage lending has been difficult while using an empirical approach. Thus, comprehensive and systematic approach is required as well as validity of mortgage lending policies should be evaluated. In this regard, this research conducts a sensitivity analysis to validate the proposed policies and estimates the effects of current policies on LTV and DTI ratios with a comparison of another policies scenario. A causal loop and sensitivity analysis using system dynamics confirmed that LTV and DTI regulation is strong clout to housing market. However, to prevent transfer of potential mortgage borrowers to nonmonetary institutions, regulations in loans of nonmonetary institutions should be practiced in accompaniment with regulations of primary lending agencies.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.1
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• pp.161-174
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• 2010

The purpose of this study is to identify the problems of the reciprocal borrowing service in Korea and to develop the reciprocal borrowing model. Using interview and survey method were used for collecting data. Results show that public librarian had positive thought about reciprocal borrowing service and there were many problems to solve before operating the service. Main problems were: leaking of private information, responsibility of lost materials, budget and staff, borrowing regulation, non-competitive libraries. Also three reciprocal borrowing system models were introduced: integrated system model, distributed system model, and reciprocal arrangement model.

• The Journal of Information Systems
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• v.6 no.1
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• pp.63-79
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• 1997

최근 들어 급격하게 변화하는 금융환경과 우수고객을 확보하려는 금융기관의 치열 해짐에 따라 금융기관의 대출업무의 전문성과 중요성이 더욱 증대되고 있다. 본 연구에서는 대출 업무에 있어 복잡하고 전문적인 지식이 요구되는 기업신용평가 과정에 전문가시스템을 적용하여 이를 실제 상황에 활용하여 봄으로써 대출 의사결정과정의 정확성과 신뢰성을 증 가시키고자 하는데 초점을 맞추고 있다. 실제적용을 위하여 25개의 중소/대기업으로 데이터 를 수집, 적용하여 시스템을 평가하였다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.2
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• pp.5-13
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• 2010

As today's information environment changes rapidly with the development of information technology, users expect a variety of the library services that meet their emerging needs. This paper reports the concept of reciprocal borrowing and analyzes the cases of reciprocal borrowing programs in the US. Particularly, this paper introduces (1) three cases of state-wide library cards such as Georgia's PINES card, Maryland's MPower card, and Michigan's Michi card. (2) Public library systems in the U.S. also are introduced as a type of reciprocal borrowing. Another type of reciprocal borrowing mentioned in this paper was (3) an mutual agreement between and among libraries. The author sought the deeper understanding of reciprocal borrowing by mapping the cases described in this paper into three models of reciprocal borrowing Kwak et al.(2010) suggested. This paper concludes with a few important considerations in implementing reciprocal borrowing services in Korea.

• The Journal of Information Systems
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• v.25 no.2
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• pp.79-110
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• 2016

Purpose Online Peer-to-peer lending (hereafter P2P lending), is a new method of lending money to unrelated individuals through an online financial intermediary. Usually in the online P2P transaction, individuals who would like to borrow money (hereafter borrowers) and those who would like to lend money (hereafter lenders) have no previous relationship. Based on enormous previous studies, this study develops an integrated model, particularly for the online P2P lending environment in China, to better understand the critical factors that influence lenders' intention to lend money through the online P2P lending platform. Design/methodology/approach In order to verify the hypotheses, we develop a questionnaire with 42 survey items. We measured all the items on a five-point Likert-type scale. We use Sojump.com to collect questionnaire and gather 246 valid responses from registered members of Renrendai.com. We analyzed the main survey data by using SPSS 18.0 and AMOS 20.0. We first estimated the reliability, validity, composite reliability and AVE and then conduct common method bias test. The mediating role of trust in platform and in borrower has been tested. Last we tested the hypotheses through the structural model. Findings The results reveal that service quality, information quality, structural assurance, awareness and reputation significantly impact lenders' trust in the online P2P lending platform. Second, awareness, reputation and perceived risk significantly impact lenders' trust in borrower and lending intention. Third, trust propensity has a positive effect on lenders' trust on borrower. Last, awareness, reputation, perceived risk, platform trust and borrower trust can directly impact lenders' lending intention.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.93-117
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• 2007

The books and circulation-related data in the Library Automation System(LAS) of C-academic library were collected and analyzed, and also the method which may be applied to the Customer Relationship Management (CRM) based on the results was suggested in this paper. Collected data were 269,387 bibliographic data of books, 12,281 patron data, and 39,269 circulation records. User identity, circulation frequencies, total number of circulated books, and publication year as relation factor from the analyzed data of circulation records were extracted. They were also analyzed, and verified by correlation coefficient.

• The Journal of Information Systems
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• v.16 no.1
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• pp.1-21
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• 2007

신용평점을 위한 부도예측의 분류 문제를 다루는데 있어서 통계적 판별분석 및 인공신경망 및 유전자알고리즘 등을 이용한 데이터 마이닝의 방법들이 일반적으로 고려되어왔다. 이 연구에서는 수리계획법을 응용하여 classification gap을 고려한 이단계 수리계획 접근방법을 신용평가에 적용하는 방법론을 제안하여 수리계획법을 통한 신용평가모형 구축의 가능성을 제시한다. 1단계에서는 선형계획법을 이용해서 대출 신청자에게 대출을 허가할 것 인지의 여부를 결정하게 되는 대출 심사 filtering으로의 적용단계이고, 2단계에서는 정수계획법을 이용하여 오분류 비용이 최소가 되도록 하는 판별점수를 찾는 과정으로 모형을 구성한다. 개인 대출 신청자의 데이터(German Credit Data)에 대하여 피셔의 선형 판별함수, 로지스틱 회귀모형 및 기존의 수리계획 기법들과의 비교를 통해서 제안된 모델의 성능을 평가한다. 이단계 수리계획 접근법의 평가 결과를 통하여 신용평가모형에의 적용가능성을 기존 통계적인 접근방법 및 수리계획 접근법과 비교하여 제시하고 있다.