• 디지털융복합연구
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• 제22권2호
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• pp.1-9
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• 2024

본 연구는 정부가 지정한 산학융합지구에 입주한 기업이 사업 정책 목표를 달성하고 있는지를 검증하고 분석을 통해 시사점을 도출하여 정책개선 방향을 모색해 보고자 하는데 있다. 연구를 위해 입주기업을 대상으로 하는 사업 활동을 인프라, 사업내용과 프로그램, 관리 및 제도 측면으로 나누어 사업성과지표, 입주기업 만족도 설문, 입주기업과 비입주기업 간 매출액증가 차이를 t-검증을 통해 분석하였다. 산학융합지구 입주기업을 대상으로 t-검증 분석 결과 입주기업과 비입주기업 간 입주 전후 매출액증가 차이에 대해 유의수준 10%에서 통계적 유의성을 확인하였다. 통계분석 결과와 성과지표, 기업대상 설문조사 분석 결과를 바탕으로 입주기업을 대상으로 정책적 효과 극대화를 위해 산학 공동 R&D 과제 트랙 마련, 연구원 대상 맞춤형 엔지니어 육성 과정 개발과 운영, 광역 지방자치단체의 조례에 재정지원 명문화, 기업연구관의 편의시설과 연구원 정주 환경 개선 등의 정책개선 방향을 제시하였다. 본 연구는 정부 대형 국책사업인 산학융합지구 입주기업을 대상으로 정책 성과에 대해 정량적으로 검증한 첫 연구로 향후 고용지표, 기업의 재정지표 등 다양한 변수에 의한 정책효과 분석 등 후속 연구가 필요하다.

• Communications for Statistical Applications and Methods
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• 제18권1호
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• pp.119-130
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• 2011

본 연구의 목적은 한국 보험회사의 지속가능성과를 측정하고 분석하여 지속가능경영을 위한 전략적 시사점을 제공하는데 있다. 분석방법으로는 상관분석, 회귀분석, 분산분석, T-검정을사용한다. 분석결과 첫째, 생명보험에서는 사회지표가, 손해보험에서는 환경지표가 상대적으로 중요한 변수로 분석되었다. 둘째, 지속가능점수를 종속변수로 하고 기업의 규모와 재무건전성을 독립변수로 한 회귀분석 결과규모가 통계학적으로 유의하게 정(+)의 영향을 미치는 변수로 분석되었다. 이는 지속가능성장을 위한 필요조건으로 일정 수준 이상의 규모가 요구됨을 시사한다. 셋째, 분산분석 및 T-검정 결과 생명보험산업에서는 중소형사가 대형사에 비해 사회지표 및 명성지수에서 통계학적으로 유의하게 낮은 성과를 보여주는 것으로 나타났다. 손해보험산업에서는 중소형사가 대형사에 비해 사회지표를 제외한 모든 지표에서 통계학적으로 유의하게 낮은 성과를 보여주는 것으로 나타났다. 따라서 중소형사의 지속가능한 발전을 위해서는 생명보험의 경우 사회지표 및 명성지표 측면에서, 손해보험의 경우는 경제, 환경, 명성 등의 측면에서 노력이 요구되어진다고 볼 수 있다.

• 지능정보연구
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• 제22권4호
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• pp.177-192
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• 2016

기계학습(Machine Learning)은 인공 지능의 한 분야로, 데이터를 이용하여 기계를 학습시켜 기계 스스로가 데이터 분석 및 예측을 하게 만드는 것과 관련한 컴퓨터 과학의 한 영역을 일컫는다. 그중에서 SVM(Support Vector Machines)은 주로 분류와 회귀 분석을 목적으로 사용되는 모델이다. 어느 두 집단에 속한 데이터들에 대한 정보를 얻었을 때, SVM 모델은 주어진 데이터 집합을 바탕으로 하여 새로운 데이터가 어느 집단에 속할지를 판단해준다. 최근 들어서 많은 금융전문가는 기계학습과 막대한 데이터가 존재하는 금융 분야와의 접목 가능성을 보며 기계학습에 집중하고 있다. 그러면서 각 금융사는 고도화된 알고리즘과 빅데이터를 통해 여러 금융업무 수행이 가능한 로봇(Robot)과 투자전문가(Advisor)의 합성어인 로보어드바이저(Robo-Advisor) 서비스를 발 빠르게 제공하기 시작했다. 따라서 현재의 금융 동향을 고려하여 본 연구에서는 기계학습 방법의 하나인 SVM을 활용하여 매매성과를 올리는 방법에 대해 제안하고자 한다. SVM을 통한 예측대상은 한국형 변동성지수인 VKOSPI이다. VKOSPI는 금융파생상품의 한 종류인 옵션의 가격에 영향을 미친다. VKOSPI는 흔히 말하는 변동성과 같고 VKOSPI 값은 옵션의 종류와 관계없이 옵션 가격과 정비례하는 특성이 있다. 그러므로 VKOSPI의 정확한 예측은 옵션 매매에서의 수익을 낼 수 있는 중요한 요소 중 하나이다. 지금까지 기계학습을 기반으로 한 VKOSPI의 예측을 다룬 연구는 없었다. 본 연구에서는 SVM을 통해 일 중의 VKOSPI를 예측하였고, 예측 내용을 바탕으로 옵션 매매에 대한 적용 가능 여부를 실험하였으며 실제로 향상된 매매 성과가 나타남을 증명하였다.

• Management Science and Financial Engineering
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• 제14권1호
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• pp.23-34
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• 2008

In this study, we consider stationary waiting times in a Poisson driven single-server m-node queues in series. We assume that service times at nodes are independent, and are either deterministic or non-overlapped. Each node excluding the first node has a finite waiting line and every node is operated under a FIFO service discipline and a communication blocking policy (blocking before service). By applying (max, +)-algebra to a corresponding stochastic event graph, a special case of timed Petri nets, we derive the explicit expressions for stationary waiting times at all areas, which are functions of finite buffer capacities. These expressions allow us to compute the performance measures of interest such as mean, higher moments, or tail probability of waiting time. Moreover, as applications of these results, we introduce optimization problems which determine either the biggest arrival rate or the smallest buffer capacities satisfying probabilistic constraints on waiting times. These results can be also applied to bounds of waiting times in more general systems. Numerical examples are also provided.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2007년도 춘계 학술대회논문집
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• pp.153-158
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• 2007

Since the introduction of Nanoimprint in the mid-1990s, Nanoimprint lithography, a low-cost, non-convential method, has been the dominant lithography technology that guarantees high-throughput patterning of nanostructures. Based on the mechanical embossing mechanism, Nanoimprint lithography creates the nanopatterns on the polymer material cast on the substrate. In essence, the process needs nanofabrication equipment for printing with the adequate control of temperature, pressure and control of parallels of the stamp and substrate. This article introduce the possibility and reality of the thermal control on the hot plate using a CFD code. Numerical computation has been conducted for assessing the feasibility of a hot plate($120{\times}120\;mm2$). PID control is adopted to ensure high temperature uniformity in several zones. Parallel experiments have also been performed for verifying thermal performance. Not only show the results the optimum number of thermocouples related to controllers but also suggest that the thermal simulation using a CFD code would be an alternative method to design and develop the thermal control equipment in the financial aspect.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.527-538
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• 2021

The purpose of the study is to determine the efficiency, position, and partner selection of securities companies via the negative super-SBM model used in data envelopment analysis (DEA). This model utilizes a variety of inputs, including current assets, non-current assets, fixed assets, liabilities, owner's equity and charter capital, and outputs including net revenue, gross profit, operating profit, and net profit after tax collected from the financial reports (Vietstock, 2020) of 32 securities companies, operating during the period from 2016 to 2019, negative data are collected as well. Empirical results determined both efficient and inefficient terms, and then further determined the position of each securities firm under consideration of every term. The overall score arrived at discovered a large performance change realizing a maximum score able to reach 20.791. In the next stage, alliancing inefficient companies was carried out based on the 2019 scores to seek out optimal partners for the inefficient companies. The tested result indicated that AAS was the best partner selection when its partners received a good result after alliancing, as with FTS (11.04469). The partner selection is deemed as a solution helpful to inefficient securities companies in order to improve their future efficiency scores.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.741-750
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• 2021

The research aims to analyze the level of efficiency by grouping banks during the period 2017 - 2018 into category 1 and category 2 banks and then dividing them as Regional Development Banks (BPD) and Non-BPD Conventional Commercial Banks (BUK) within each category. The research objects are banks within the categories BPD and BUK comprised 18 BPDs and 35 BUKs. The research methodology uses 3 stages, first, using Data Envelopment Analysis (DEA) we measure the level of bank efficiency; second, using the Tobit regression model we evaluate the effect of financial performance on DEA efficiency, and third, using the Mann-Whitney test we determine whether there is a difference in the efficiency of category 1 and 2 banks. The results showed that there was a decrease in the efficiency of category 1 and 2 banks but on average, the efficiency of category 1 banks is higher than category 2 banks. The estimation results of the Tobit regression model show that only the ROA variable affects the efficiency level of category 1 banks, while category 2 banks are influenced by NPL and ROA variables. In the Mann-Whitney test, it was proven that there were differences in efficiency between BUK and BPD in category 1 and 2 banks.

• 융합경영연구
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• 제10권3호
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• pp.21-36
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• 2022

Purpose: The purpose of this study is to compare and analyze the enterprise's score index calculated from atypical data and corrected data. Research design, data, and methodology: In this study, news articles which are non-financial information but qualitative data were collected from 2,432 SMEs that has been extracted "square proportional stratification" out of 18,910 enterprises with fixed data and compared/analyzed each enterprise's score index through text mining analysis methodology. Result: The analysis showed that qualitative data can be quantitatively evaluated by region, industry and period by collecting news from SMEs, and that there are concerns that it could be an element of alternative credit evaluation. Conclusion: News data cannot be collected even if one of the small businesses is self-employed or small businesses has little or no news coverage. Data normalization or standardization should be considered to overcome the difference in scores due to the amount of reference. Furthermore, since keyword sentiment analysis may have different results depending on the researcher's point of view, it is also necessary to consider deep learning sentiment analysis, which is conducted by sentence.

• Journal of Korea Trade
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• 제23권6호
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• pp.93-112
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• 2019

Purpose - First, this study contextually examines the governance codes of South Africa and South Korea. Second, it analyzes board features of South African (JSE) Mainboard and South Korean (KRX) KOSPI-listed companies. Design/methodology - This review is qualitative and uses data from the annual reports of the selected markets' companies, respective exchanges' official web sites and corporate governance-related web sites in order to examine the corporate governance practices in the two markets. In addition, Nvivo is employed in analyzing the content of the corporate governance codes of the selected countries. Findings - Our analysis indicates that the corporate governance codes of the two countries are evolving to keep up with the international trend of principles-based approach. The composition of the board of directors (BODs) of non-financial companies of both South Africa and South Korea shows no significant variation between the companies with regards to the executive (inside) and nonexecutive (outside) directors. On the contrary, there is a significant variation between South African and South Korean listed companies with respect to diversity. Originality/value - While previous studies are centered on the impact of governance codes on performance, this study intends to contextually evaluate the codes and features of South Africa and South Korea listed companies. This is essential and timely for regulators and policy makers given the importance of corporate governance features such as board independence and diversity in recent times.

• 유통과학연구
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• 제18권3호
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• pp.77-85
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• 2020

Purpose: This study examined marketing value as online word-of-mouth media in the foodservice industry, and it did research on online word-of-mouth (e-WOM) communication marketing schemes using mass communication in the industry. The study is also intended to investigate the impact of electronic word-of-mouth (e-WOM) information and communication on product awareness risks, benefits, and word-of-mouth (WOM) impacts on restaurant consumers. Research design, data, and methodology: The analysis was conducted on a valid questionnaire of 425 menu product consumers. The survey was conducted for two months in March 2019. The collected data was analyzed using SPSS and hierarchical regression analysis was applied. Results: It did empirical research on the reciprocal casual relations to online and the existing word-of-mouth communication that have to be preceded to understand characteristics of online word-of-mouth communication for the purpose of this study. The result is summarized as follows. First, the online word-of-mouth (e-WOM) effect on product recognition risk shows the statistically significant effect of information sender characteristics, information recipient characteristics, and online word-of-mouth (e-WOM) communication on product recognition risk. Second, the influence of online word-of-mouth (e-WOM) on product risk benefits shows that the information sender characteristics, the information receiver characteristics, and online communications have a statistically significant effect on product risk benefits. Third, online word of mouth risk recognition had a statistically significant effect on word of mouth acceptance. Fourth, online risk benefit had a statistically significant positive effect on word of mouth (WOM) effect. Conclusions: The communication between online word of mouth (e-WOM) sender and recipient had a positive influence on the product evaluation and attitude change in the foodservice industry, and the word-of-mouth (WOM) effect affected financial and non-financial performance. The results mentioned above indicated that the communication between the sender of the information and the receiver of the information had a positive effect on the product evaluation and attitude change of the menu consumer, and the word-of-mouth (WOM) result affected the financial. Therefore, the online word-of-mouth (e-WOM) effect has a positive effect on the word-of-mouth (WOM) effect of menu products when performed simultaneously and positively between the information sender and the information receiver.