• 한국치위생학회지
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• 제21권4호
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• pp.357-366
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• 2021

연구목적: 본 연구의 목적은 2019년 코로나바이러스감염증(COVID-19) 팬데믹 상황에서 치위생학 학생들의 윤리적 의식과 의사결정 수준을 검증하는 것이다. 연구방법: 본 연구의 대상은 COVID-19에 관심이 있는 대학생 249명을 대상으로 하였다. 대상자는 5점 척도의 설문지를 작성하였으며, 자료는 독립 t-검정, ANOVA, 상관분석법으로 분석하였다. 연구결과: COVID-19에 대한 인식은 3.42점으로 보통 수준이었다. 그리고 남학생, 1학년, 응급구조과 학생, 교육받은 학생, 자가격리 경험이 있는 학생이 더 높았다. 윤리의식 수준은 3.89점으로 보통이었으며, 2학년, 응급구조학과 학생에게서 높게 나타났다. 윤리적 의사결정은 3.44점으로 보통 수준으로 1학년, 현장실습, 자가격리 경험이 있는 학생에게서 높았다. 인식 수준은 윤리의식과 양의 상관관계가 있었다(α=0.310, p<0.01). 또한 윤리의식의 정도가 높을수록 의사결정의 정도도 증가하였다(α=0.539, p<0.01). 결론: COVID-19가 확산되고 있는 위기 상황에서 치과위생사 학생을 대상으로 정확한 정보를 교육하고 이를 실제와 유사하게 체험하여 윤리적 의식과 의사결정 수준을 높일 필요가 있다.

• 무역학회지
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• 제47권3호
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• pp.17-35
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• 2022

The Pandemic crisis caused by COVID-19 has raised awareness of the importance of supply chain risk management, such as the control of movement between countries and the simultaneous manufacturing paralysis in the world. Effective risk management within the supply chain of the company is a core competency in the global environment. Therefore, this study quantitatively analyzed the perspective of domestic large corporations and small and medium enterprises (SMEs) by using the hierarchical analysis method (AHP) to identify the factors that should be considered as the priority when establishing supply chain risk management plans for large and small business employees. In order to conduct the study, a survey was conducted on large corporations and small and medium enterprises in Gyeongnam and Busan, and AHP analysis was conducted using Microsoft 365 excel program. In addition, Mann-Whitney U test (independent sample-nonparametric test) was conducted using SPSS/18 version of statistical package program for comparative analysis between groups. As a result, the priority was highly evaluated in the order of financial ability, competitiveness, disaster in the overall priority evaluation. There were statistically significant differences in internal risk and strategic decision making of supply chain between groups. This suggests that fandemics such as COVID-19 can not be predicted, but strategic responses are needed to utilize opportunities expressed in the crisis through supply chain risk management and to increase the competitive advantage of domestic companies even in the crisis.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.213-216
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• 2015

Despite the significant increase of Korean contractors in the international construction market, many SMCCs (Small & Medium Construction Companies) have suffered in the global financial crisis, and some of them have been kicked out of the international market after experiencing huge losses on projects. SMCCs face obstacles in the international market, such as an insufficient ability to gather information and inappropriate management of associated risks, which lead to difficulties in establishing effective business strategies. In other words, making immature decisions without an effective business strategy may cause not only the failure of one project but also the bankruptcy of the SMCC. To overcome this, the research presented herein aims to propose a decision support system for SMCCs, which would screen projects and make a go/no-go decision at the early stages of international projects. The proposed system comprises a double axis: (1) a profit prediction model, which evaluates 10 project properties using an objective methodology based on a historical project performance database and roughly suggests expected profit rate, and (2) a feasibility assessment model, which evaluates 17 project environment factors in a subjective and quantitative methodology based on experience and supervision. Finally, a web-based system is established to enhance the practical usability, which is expected to be a good reference for inexperienced SMCCs to make proper decisions and establish effective business strategies.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1414-1418
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• 2009

International construction projects typically manifest difficult, complex, and varied types of risk exposures; because of this, there is a need for accurate evaluation of risk-integrated performances during the timeframe of project execution. Given the financial crisis currently affecting the world economy recession, risk management has become a more crucial part for the success of international project management. However, the majority of risk management approaches, particularly for overseas projects, are focused primarily on simple forms of checklists, formalization of risk variables affecting project performance for a specific phase, or more complicated computational methods that restricting practical utilization in real-world projects; moreover, these methods lack the conceptual basis to broadly visualize the level of risk over all phases of a project. This study suggests an efficient, yet simple risk-integrated total index to successfully assess the risk levels of overseas construction projects. To this end, this paper first investigates the life cycles and key processes of decision-making for a given project and then derives formulas to represent the total risk index (TRI) along the key decision-making processes. In addition, the study examines the relationships between TRI and performance levels based on the analysis of 126 real-world project samples. Validations using the proposed TRI showed a high correlation to project performance, signifying the usefulness of the proposed approach for construction firms when investigating the level of risks and key areas for management focus.

• 무역학회지
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• 제45권5호
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• pp.1-22
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• 2020

This study explores the role of relationship banking for the exports of SMEs (small and medium sized enterprises) in Korea. Using a sample of SMEs listed on the Korean stock markets between 2004 and 2018, I find that relationship banking has a positive impact on exporting behaviors of SMEs. This result indicates that relationship banking is suitable for SMEs to raise their funds in the export decision-making since the incentive for banks to obtain soft information enhances SMEs' access to external finance. In particular, through further analysis considering financial constraints, I find that the positive impact of relationship banking on exports is amplified for financially constrained SMEs. In addition, the positive impact on exports is also amplified for export starters. Finally, relationship banking provides benefits for SMEs' export decision-making regardless of the financial crisis. To sum up, relationship banking may be useful means of financing for Korean SMEs whose creditworthiness cannot be assessed only by hard information. As the role of finance in international trade has recently been highlighted, this study provides insightful evidence that relationship banking may enhance exports of SMEs as a source of trade finance.

• 한국기록관리학회지
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• 제20권1호
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• pp.207-212
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• 2020

본 논문은 "공공정보의 대중화를 통해 시민의 알 권리를 실현하고 사회 전반의 투명성과 책임성을 높여나가는 것을 목적"으로 설립된 시민사회 단체인 '투명사회를 위한 정보공개센터'에서 <1997 외환위기 아카이브>를 만든 과정을 소개한다. 소규모 시민사회 단체에서도 충분히 주제 아카이브를 만들 수 있다는 다소 낙관적인 판단에서 작업을 시작했으나, 부족한 자원과 역량으로 아카이브를 구축하면서 많은 좌충우돌과 좌절, 그에 따른 방향의 수정이 거듭되었다. 하지만 시민이 주도하는 아카이브 고유의 필요와 의미에 공감하는 많은 사람들의 기여를 통해 난관을 극복하고 아카이브를 구축할 수 있었다. 논문에서는 구축 과정에 대한 소개와 함께 구체적인 어려움과 필요했던 역량들이 무엇인지, 특히 기록관리 분야에서 어떤 지식과 도움이 필요했는지 정리하였다. 아직 이용자 수는 2천명 남짓이지만 <1997 외환위기 아카이브>가 우리 삶의 토대를 흔들었던 과거를 우리 스스로의 힘으로 기억하고 재구성하는 좋은 사례로서, 그리고 더 나은 결정들에 조금이나마 보탬이 되는 도구로서 오래 기능하기를 바란다.

• 한국측량학회지
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• 제40권1호
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• pp.31-40
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• 2022

COVID-19, 집중호우, 화재 등 다양한 재난이 지속적으로 발생하면서 재난관리 및 대응의 중요성이 부각되고 있다. 재난대응 활동 전반에 걸쳐 효율적인 대응이 이루어지기 위해서는 재난현장 정보를 신속하게 수집하되 사진 및 동영상 등 영상정보를 통해 현장상황을 명확하게 인식하고, 신속한 재난대응이 이루어질 수 있도록 하는 것이 필요하다. 본 연구에서는 각 재난유형별로 재난대응 단계별 필수적인 활동 업무, 위기관리 표준매뉴얼과 각 재난 유형별 관련법, 일일상황보고 등의 각종 서식상의 수요정보를 분석하여 의사결정시 요구되는 필수정보들을 도출하였다. 또한 재난발생시 재난현장의 상황파악 및 실시간 피해현황 파악에 필요한 정보목록도 함께 도출하여 재난현장 정보 수집을 위한 가이드라인을 제시하였다. 수집된 재난상황정보는 공간정보 기반의 시스템을 통해 상황인식을 직관적으로 할 수 있도록 표출하였다. 우선적으로 수집해야할 재난상황관리 필수정보를 제시함으로써 현장에서 정보를 수집하는 담당자는 효율적으로 정보를 수집할 수 있고, 재난대응의 의사결정을 담당하는 상황실에서는 필요로 한 정보만을 전달받아 신속한 상황판단이 가능하므로 재난 상황관리에 대한 효율성이 증대될 것으로 기대된다.

• 한국컴퓨터정보학회논문지
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• 제21권6호
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• pp.9-19
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• 2016

In finance literature, stock liquidity showing how stocks can be cashed out in the market has received rich attentions from both academicians and practitioners. The reasons are plenty. First, it is known that stock liquidity affects significantly asset pricing. Second, macroeconomic announcements influence liquidity in the stock market. Therefore, stock liquidity itself affects investors' decision and managers' decision as well. Though there exist a great deal of literature about stock liquidity in finance literature, it is quite clear that there are no studies attempting to investigate the stock liquidity issue as one of decision making problems. In finance literature, most of stock liquidity studies had dealt with limited views such as how much it influences stock price, which variables are associated with describing the stock liquidity significantly, etc. However, this paper posits that stock liquidity issue may become a serious decision-making problem, and then be handled by using data mining techniques to estimate its future extent with statistical validity. In this sense, we collected financial data set from a number of manufacturing companies listed in KRX (Korea Exchange) during the period of 2010 to 2013. The reason why we selected dataset from 2010 was to avoid the after-shocks of financial crisis that occurred in 2008. We used Fn-GuidPro system to gather total 5,700 financial data set. Stock liquidity measure was computed by the procedures proposed by Amihud (2002) which is known to show best metrics for showing relationship with daily return. We applied five data mining techniques (or classifiers) such as Bayesian network, support vector machine (SVM), decision tree, neural network, and ensemble method. Bayesian networks include GBN (General Bayesian Network), NBN (Naive BN), TAN (Tree Augmented NBN). Decision tree uses CART and C4.5. Regression result was used as a benchmarking performance. Ensemble method uses two types-integration of two classifiers, and three classifiers. Ensemble method is based on voting for the sake of integrating classifiers. Among the single classifiers, CART showed best performance with 48.2%, compared with 37.18% by regression. Among the ensemble methods, the result from integrating TAN, CART, and SVM was best with 49.25%. Through the additional analysis in individual industries, those relatively stabilized industries like electronic appliances, wholesale & retailing, woods, leather-bags-shoes showed better performance over 50%.

• 유통과학연구
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• 제16권6호
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• pp.5-13
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• 2018

Purpose - The purpose of this paper is to look into some alternative for Korean shipping to overcome difficult situations in shipping, since then it is economic crisis at the end of 2000s. Research design, data, and methodology - The research method to be adopted is first to review theoretical overview about shipping cycle, and then examine difficult shipping situations and studies management aspect, which is to related to establishment of Korea Shipping Council. Results - The boom and bust situations in shipping market have been identified as result of economic crisis at the end of 2000s. Trade volumes have fallen and shipping tonnage has risen respectively. In practical terms, shipping industry has suffered from difficult situations, following to supply and demand of shipping market, and Korean shipping had to face hard time as well, according to lack of management ability of shipping company. Alternatively, it should be asked shipping forum like Korea Shipping Council. Conclusions - From situations of shipping markets since the end of 2000s, it is strongly asked that every parties got involved in shipping business should understand and share more expertise and knowledge of shipping market, which is finally related to decision- making process in shipping.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.211-218
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• 2022

Pandemic situations such as COVID-19 can occur supply chain crisis. Under the supply chain crisis, delivering farm products from the farm to the city is also very challenging. Therefore it is essential to prepare food sufficiency people who live in a city. We firmly insist on food self-production/consumption systems in each home. However, since it is impossible to grow high-quality crops without expertise knowledge. Therefore expert system is essential to grow high-quality crops in home. To address this problem, we propose a smart kitchen farm as a data-based monitoring system and platform with ICT convergence technology. Our proposed approach 1) collects data and makes judgments based on expert knowledge for home users, 2) increases product quality of the smart kitchen farms by predicting abnormal/normal crops, and 3) controls each personal home cultivation environment through data-based monitoring within the smart central server. We expect people can cultivate high-quality crops in thir kitchens through this system without expert knowledge about cultivation.