• 한국벤처창업학회:학술대회논문집
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• 2019.11a
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• pp.161-163
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• 2019

4차 산업혁명의 도래로 산업 유형은 어느 한 종류로 단정하기 어려운 융복합적 형태로 변화를 거듭하고 있다. 뿐만 아니라, 과거 성장 중심 경제발전 모델이 저성장과 함께 양극화, 고용불안과 같은 다양한 사회문제를 야기함에 따라 새로운 발전 패러다임에 대한 관심과 요구도 그 어느 때보다 높아지고 있다. 이러한 일련의 환경 변화는 과거 제조업 중심의 경제성장을 주도해왔던 한국 공적보증제도에도 혁신을 촉구하고 있다. 신용보증기금은 2018년 현재 총 보증잔액 50.5조원을 보유한, 한국에서 가장 큰 규모의 공적보증기관이으로 지난 1976년 설립 후 40여 년간 산업육성과 시장안정이라는 두 가지 정책적 목표를 달성하기 위해 다양한 산업 분야와 기업에 신용보증을 제공해왔다. 1997년 IMF 외환위기, 2008년 글로벌 금융위기 등 국가적 위기 때마다 시장안전판 역할을 성공적으로 수행하며 한국경제가 신속히 위기에서 벗어나는데 공헌하기도 했다. 그러나 이제 신용보증기금은 과거의 성과와 역할에 얽매이지 않고, 급변하고 있는 경제 기술환경 속에서 또 다른 역할을 모색하고 있다. 구체적으로는 중소기업에 대한 보증지원이라는 기존 역할에서 한발 나아가, 혁신생태계 조성, 데이터뱅크 플랫폼 구축, 사회적가치 확산을 위한 전사적 사업구조 혁신을 단행하고 있다. 본 보고서에는 환경변화에 부응해 새로운 역할을 수행하고자 노력하는 신용보증기금의 활동과 성과를 담았다. 여기에 제시된 신용보증기금의 사례들은 벤처캐피탈이 활성화된 서양 국가들과 달리, 정책금융 역할이 상대적으로 중요한 아시아 지역의 중소기업 금융 활성화에 효과적인 정책적 시사점을 제공할 수 있을 것으로 기대한다.

• The Korean Journal of Financial Management
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• v.15 no.1
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• pp.223-243
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• 1998

본 연구는 부실기업의 예측여부에 따른 금융기관의 주가 반응을 분석하였다. 1991년부터 1996년까지 관리종목에 편입된 종목중 40종목을 연구대상으로 선정하였다. 부실기업의 예측은 부실예측모형과 전문신용평가기관의 신용등급을 이용하여 판단하였다. 연구결과에 따르면 기업부실 공시시 금융기관 주식의 초과수익률은 전반적으로 부의 값을 갖는 것으로 분석되었다. 즉, 주가반응의 크기에는 정도의 차이는 있지만 부실예측 여부에 관계없이 기업부실은 금융기관 주가에 악영향을 미치는 것으로 나타났다. 구체적으로 살펴보면 신용등급에 의해 부실이 예측되는 경우에 비해 부실이 예측되지 못한 경우에 주가반응이 크고 유의적으로 나타났다. 그러나 부실예측모형을 이용한 경우에는 부실이 예측된 경우의 주가반응이 예측되지 못한 경우에 비해 크게 나타났다. 이러한 결과는 부실예측모형의 부정확성 또는 예측모형에서 사용된 회계자료의 부정확성에 기인한 것으로 판단된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.129-136
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• 2014

This paper examines the effects of dominating large shareholders and foreign blockholders on credit ratings. An effective governance mechanism is expected to lead to higher credit ratings through its impact on default risk of the firm. Our results show that dominating large shareholders have an adverse impact on credit ratings of domestic firms on the level of its statistical significance. Foreign shareholders are positively associated with credit ratings, contributing to the higher credit worthness of domestic firms.

• Journal of Industrial Convergence
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• v.16 no.4
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• pp.33-46
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• 2018

Personal credit scoring is an effective tool for banks to properly guide decision profitably on granting loans. Recently, many classification algorithms and models are used in personal credit scoring. Personal credit scoring technology is usually divided into statistical method and non-statistical method. Statistical method includes linear regression, discriminate analysis, logistic regression, and decision tree, etc. Non-statistical method includes linear programming, neural network, genetic algorithm and support vector machine, etc. But for the development of the credit scoring model, there is no consistent conclusion to be drawn regarding which method is the best. In this paper, we will compare the performance of the most common scoring techniques such as logistic regression, neural network, and support vector machines using personal credit data of the financial institution in China. Specifically, we build three models respectively, classify the customers and compare analysis results. According to the results, support vector machine has better performance than logistic regression and neural networks.

• Vending industry
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• v.3 no.2 s.10
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• pp.71-76
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• 2004

그간 관심의 초점이 되었던 성인인증장치의 그 구체적 범위를 지정하는 국민건강증진법시행규칙개정령안이 입법예고 되었다. 지난 2003년 7월 29일 청소년 금연을 위하여 성인인증담배자판기의 합법적인 설치를 인정하는 국민건강증진법이 개정된 이후, 보건복지부 건강정책과에서는 협회를 중심으로 한 산업계 의견을 수렴하여 구체적인 성인인증장치의 범위를 규정하는 국민건강증진법시행규칙 세부안을 준비해 왔다. 이번 공고안에 따르면 성인인증장치의 범위를 신분증 방식만이 아닌 신용카드 등 금용신용거래장치에 의한 방법까지를 포함해 기술의 다양성 측면을 반영했다. 금호 정책초점에서는 새롭게 공고된 국민건강증진법시행규칙의 세부 내용과 이번 입법이 미칠 시장영향에 대해 살펴보는 시간을 마련했다.

• Management & Information Systems Review
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• v.34 no.2
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• pp.113-130
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• 2015

This study considers the relation between firms' earnings management and credit rating. Unlike preceding papers only focusing earnings management by accrual(thereafter, AM), this paper examines the effect of accrual earnings management(AMs) and real earning management(thereafter, RM) on credit rating. RMs have more negative effects on firms' forward cash flow generation abilities and long term operating performances than AMs. So, RMs are more negative signals for credit analysts than AMs. But credit analysts have much difficulty in seeing through RM, because if credit analysts want to find out RMs, they have to understand firms' internal operating activities, cost structures, receivables collection practices, and review whether profit distortions are due to abnormal change of them. Sample of this study consists of 2,150firm-year data listed companies from 2002 to 2010. Empirical evidence shows that AMs and RMs are negatively related to credit rating. This result implies that credit analysts see through AMs and RMs in interpreting financial informations, that is to say, they discount credit rating in considering level of earnings management that consist of real activity and accrual earning management. This paper also finds that RMs are more negatively related to credit ratings than AMs. This result suggests that credit analysts don't take RMs into account in credit rating process as much as AMs.

• Korea Trade Review
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• v.42 no.4
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• pp.115-138
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• 2017

To prove the effectiveness of global brand strategy, this paper tries to analyze the effects of brand globalness on brand attitude and behaviors. In addition, the moderating effect of consumers' cultural intelligence is assessed in the influence of brand globalness on brand attitude and behaviors. Based on the analysis of two hundred seven consumers, it is founded that the brand globalness has a strong influence on brand credibility and benevolence which exerts brand royalty as expected. In this process, however, the moderating effect of consumers' cultural intelligence is shown to be statistically ineffective. This implies that the global brand strategy is useful regardless of individual consumers' cultural intelligence.

• 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 Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.273-280
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• 2021

GangAm Song Sungyong (1913~1999) was from Gimje, Jeollabuk-do. And he is a calligrapher from the last Confucian scholar of the 20th century and a writer of poetry, calligraphy, and painting. While wearing a topcoat and hanbok for the rest of his life, he approached the study, thought, and calligraphy art of Yoo Jae Song Kimyeon and Kojae Lee Byungeun from the perspective of 'GucheSinyong'. And he kept the philosophical subjectivity that tries to maintain character and a right mind. It was based on 'Guche', which is a faithful succession to the reverence of the old. When I was young, I practiced Mibul and Dong Kichang with Gu Yangsun as the center, and Hwang Jeonggyeon, Hanye, Oh Heejae, and Sojeon typefaces were grafted together during the national exhibition. Then, in 1965 (age 53), he moved to Jeonju, and learned several typefaces such as Chusa typeface on his own, creating a Gangam typeface without any obstacles. And he created 'Sinyong' with Windy Bamboo painting, which embodied strange and unconventional meanings. In addition, he re-established his identity by reexamining the fundamental spirit and natural aesthetics of calligraphy, and based on this, he greatly contributed to expanding the aesthetics of modern calligraphy and painting art by pursuing an aesthetic that explores novelty. In particular, Windy Bamboo painting has strong abstraction based on the principle of 'drawing the will'. And, in terms of discipline, the ethical aesthetic of Express Tao with pictures (畵以載道), which expresses the high level of elegance of observing small things in a big way, based on deep research on the logic of things and fulfilling human nature. By implementing it, Tao and Art become one. The Jeonbuk calligraphy group achieved the greatest prosperity in the Gangam era, and at the end of the 20th century, it entered a period of revival as it established itself as the central calligraphy group of Korean calligraphy.

• Review of KIISC
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• v.27 no.3
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• pp.33-41
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• 2017

기계 학습(machine-learning) 분야의 분류 알고리즘(classification algorithms)은 의료 진단, 유전자 정보 해석, 스팸 탐지, 얼굴 인식 및 신용 평가와 같은 다양한 응용 서비스에서 사용되고 있다. 이와 같은 응용 서비스에서의 분류 알고리즘은 사용자의 민감한 정보를 포함하는 데이터를 이용하여 학습을 수행하는 경우가 많으며, 분류 결과도 사용자의 프라이버시와 연관된 경우가 많다. 따라서 학습에 필요한 데이터의 소유자, 응용 서비스 사용자, 그리고 서비스 제공자가 서로 다른 보안 도메인에 존재할 경우, 프라이버시 보호 문제가 발생할 수 있다. 본 논문에서는 이러한 문제를 해결하면서도 분류 서비스를 제공할 수 있도록 도와주는 프라이버시 보존 분류 프로토콜(privacy-preserving classification protocol: PPCP) 에 대해 소개한다. 구체적으로 PPCP의 프라이버시 보호 요구사항을 분석하고, 기존의 연구들이 프라이버시 보호를 위해 사용하는 암호학적 기본 도구(cryptographic primitive)들에 대해 소개한다. 최종적으로 그러한 암호학적 기본 도구를 사용하여 설계된 프라이버시 보존 분류 프로토콜에 대한 기존 연구들을 소개하고 분석한다.