• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.133-134
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• 2018

본 연구는 우리나라 물류기업의 경영 효율성 비교 분석을 통해 물류기업의 특성별 차이가 있는지 파악하였다. 분석방법은 효율성을 측정하는데 유용한 자료포락분석(DEA)의 CCR 및 BCC 모형을 이용했다. 투입변수는 종업원 수와 매출원가를 사용하였고, 산출변수는 매출, 영업이익과 당기순이익을 사용하였다. 분석자료는 2016년도 공시된 금융감독원 전자공시시스템의 자료를 활용했다. 분석결과 고효율성으로 나타난 물류기업의 수는 3자 물류기업이 많았으며, 효율성이 높은 2자 물류기업들은 우리나라 대기업의 물류 자회사로서 모기업 및 계열사들의 물량을 바탕으로 내부거래 비율이 높은 것으로 나타났다.

• Korean Architects
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• s.635
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• pp.24-29
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• 2022

월간 <건축사>가 지난 2월 15일 김경민 서울대 환경대학원(도시계획) 교수를 만났다. 서울대 지리학과를 졸업한 김경민 교수는 UC버클리에서 정보통신 석사학위를 받고 실리콘밸리에서 소프트웨어 엔지니어로 근무했다. 이후 하버드대에서 박사 학위를 취득하고 보스턴 상업용 부동산 리서치회사 PPR(Property & Portfolio Research) 선임연구원으로 재직하는 등 다양한 분야의 지식과 경험을 갖추고, 현재 서울대 환경대학원 도시계획전공 교수로 부동산 트렌드와 건축과 공간의 동인이 될 만한 요소들을 분석·발표하며 방송 출연, 도서 집필, 인터뷰 등을 통해 다양한 매체에서 활발히 활동하고 있다. 김경민 교수는 본지와의 인터뷰에서 도시의 장소성·역사성을 이어나가면서 도시의 미래를 구현할 수 있는 새로운 거버넌스 체계의 구축, 도시개발의 비전을 제시할 공공 디벨로퍼와 도시개발청의 필요성을 언급하고, 도시·건축의 변화를 위한 네거티브 시스템 도입을 제안했다. 또 단순히 설계뿐 아니라 인문·역사적 이해를 바탕으로 금융 분야에서도 전문성을 갖춘 도시계획 플랜을 세우는 게 중요하다고 설명했다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.63-65
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• 2023

한국 경제에 근간이 되는 산업은 제조업이고, 그중 석유화학산업은 전량 원유를 수입하여 우리나라의 기술력으로 가공하여 재수출하는 전략적 성장 산업이다. 수많은 제조업의 원료가 되는 원유를 전량 해상운송을 통해 수입하는 우리나라는 변동성이 심한 유조선 운임 시장에 대해 기민하게 대응해야 한다. 유조선 운임 시장의 위기는 관련 해운회사의 위기에서 끝나지 않고 원유를 사용하는 산업에서부터 국민의 생활까지 영향을 미칠 수 있으므로, 본 연구에서 신호접근법을 활용한 조기경보모형을 제시했다. BDTI 운임지수를 활용하여 유조선 해운시장 위기를 정의하고, 38개의 거시경제, 금융, 원자재 지표 그리고 해운시장 데이터를 활용해 시차상관관계를 분석하여 유조선 해운시장 위기에 선행적으로 반응하는 종합선행지수를 도출했다. 연구 결과, 종합선행지수는 두 달 전 가장 높은 0.499의 시차상관계수 값을 가졌으며, 5개월 전부터 유의미한 상관계수 값을 나타냈다. 더불어 QPS 값은 0.13으로 위기 예측에 대해 높은 정확성을 지니는 것으로 검증됐다.

• Korean Journal of Construction Engineering and Management
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• v.12 no.2
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• pp.133-142
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• 2011

The purpose of this study is to analyze the problems of the parties involved in the issuance of apartment housing development projects. The adapted research method selected four apartment housing development as PF ABCP projects. This study carried out the case about participant institution of PF ABCP funding project including developer, constructor, financial institution so as to draw problems by participant institution. On the basis of the selected case, this thesis proposes methods for involved parties to negotiate and work out problems of the PF ABCP. The results of this study are as follows 1) Launching long-term project financing should be developed, including operating funds and strengthen the ABS and ABCP issuance of credit assessment procedures, combined with the simplicity of the instruments. 2) The Low-risk contract for the construction of simple managerial focus should be the construction, financial institutions essentially dependent on project financing feasibility verification purpose loans to prevent the division a true story, the development should be of interest to be preserved. The proposed included, among other, partial guarantee based on the construction plan financial institutions' share-based investment, and the supplement of legal issues.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.245-251
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• 2017

The purpose of the study is to empirically investigate how the higher allowance ratio for bank loans affects the cost of equity using Korean banks from 2002- 2015. First of all, we analyzed the impact of the higher allowance ratio on the cost of equity for Korean banks. Secondly, from the perspective of governance structure, we analyzed the existence of different impacts whether banks were affiliated with financial holding companies. The results showed an increasing impact of higher allowance ratio on the cost of equity for Korean banks. Also, we found these impacts differ whether the banks are affiliated with financial holding companies. The results indicate that the burden of higher allowance ratios for bank loans may provide negative impacts on capital markets. The higher the allowance ratio, which means the greater risk for banks, may help to increase the cost of equity concerning Korean banks.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.103-123
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• 2006

Assuming that the knowledge creation and retrieval functions could be the most important factors for a successful knowledge management(KM) especially during the promotion stage of KM, this study suggests an e-learning application as one of best methods for producing knowledge and also the integrated knowledge repository model in which learning, knowledge. and information objects can be semantically associated through topic map-based knowledge map. The traditional KM system provides a simple directory-based knowledge map. which can not provide the semantic links between topics or objects. The proposed model can be utilized as a solution to solve the above-mentioned disadvantages of the traditional models. In order to collect the basic data for the proposed model, first, case studies utilizing interviews and surveys were conducted targeting at three Korean insurance companies' knowledge managers(or e-learning managers) and librarians. Second, the related studies and other topic map-based pilot systems were investigated.

• Journal of the Korea Convergence Society
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• v.7 no.5
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• pp.201-211
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• 2016

This paper uses the Panzar Rosse model to investigate the competitive conditions in the Korean life insurance companies over the period of 1999 2012. We break down the entire sample period into four distinctive groups and analyze the competitiveness of each period. The results indicate that for the pre-introduction of Bancassurance period, the H-statistic is -1.3984 and the life insurance market is found to be in monopoly or cartel. However, for the post-introduction of Bancassurance period, the H-statistic is 0.9107 and the life insurance market appears to be in monopolistic competition. The results from the introduction of retirement pension system are very similar to those of the introduction of Bancassurance. Overall, the findings indicate that the Korean life insurance market is in long-run equilibrium before the new system introduction, but make adjustments to the new equilibrium.

• Journal of the Korean Data and Information Science Society
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• v.20 no.1
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• pp.179-190
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• 2009

In the financial industry, the decision tree algorithm has been widely used for classification analysis. In this case one of the major difficulties is that there are so many explanatory variables to be considered for modeling. So we do need to find effective method for reducing the number of explanatory variables under condition that the modeling results are not affected seriously. In this research, we try to compare the various variable reducing methods and to find the best method based on the modeling accuracy for the tree algorithm. We applied the methods on the pension insurance of a insurance company for getting empirical results. As a result, we found that selecting variables by using the sensitivity analysis of neural network method is the most effective method for reducing the number of variables while keeping the accuracy.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.411-425
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• 2013

The importance and necessity of the credit loan are increasing over time. Also, it is a natural consequence that the increase of the risk for borrower increases the risk of non-performing loan. Thus, we need to predict accurately in order to prevent the loss of a credit loan company. Our final goal is to build reliable and accurate prediction model, so we proceed the following steps: At first, we can get an appropriate sample by using several resampling methods. Second, we can consider variety models and tools to fit our resampling data. Finally, in order to find the best model for our real data, various models were compared and assessed.

• Journal of Labour Economics
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• v.29 no.2
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• pp.117-143
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• 2006

This paper illuminates the patterns of growth and declines in sizes of union membership in metal, chemical, financial, and auto transport sectors in three distinct periods during the last four decades from 1963 to 2003. This paper also calculates union densities in auto assembly, auto supply, and shipbuilding industries of the metal sector, cement, petroleum refining, and pharmaceutical industries of the chemical sector, private banking industry of the financial sector, and city bus industry of the auto transport sector. Such diversities in both sizes of union membership and union densities among sectors and industries turned out to be associated with attitudes and choices of employers and unions in interaction with sector- and industry-specific economic (growth stage and path), institutional (degrees of government intervention), and social (demographic features of employees and prevailing sizes of firms) environment. Such finding shows that theoretical reasonings on sizes of union membership and union densities across sectors and industries in advanced nations are also relevantly useful to analyze the Korean case.