• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.139-148
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• 1999

오늘날 기술집약적인 벤처기업들에 대한 관심이 집중되고 있다. 소수의 진취적인 벤처기업들이 기술개발 및 신상품 개발 등 두드러진 활약을 보이고 있기 때문이다. 그러나 실제 이 벤처기업의 성공 가능성은 그렇게 높지 않다. 특히 벤처기업 환경이 아직 미약한 국내의 경우 위험부담이 훨씬 더 크다. 이러한 벤처기업 환경에서 투자대상 벤처기업을 선정하는 것은 매우 전략적인 의사결정이다. 일반적으로 일반 벤처투자가들은 관심이 있는 산업에 해당하는 기업의 사업계획서와 기초적인 관련 정보를 토대로 투자여부를 결정한다. 그렇지만 실제로는 이와 같은 분석에 필수적으로 요구되는 정보가 불확실할 뿐만 아니라 기술분야에 대한 전문적 지식도 부족하기 때문에 투자 여부를 결정하는 것은 매우 복잡하고 어려운 문제이다. 그러므로 투자대상 벤처기업의 선정을 효과적으로 지원해주는 체계적인 접근이 필요하다. 특히 벤처 사업과 관련된 기술 동향 및 수준 등에 관련된 전문 지식과 경험이 체계적으로 제공되어야 하고 또한 벤처 투자가의 개인적 경험과 판단이 평가 프로세스에 직접적으로 반영될 수 있어야 한다. 이에 본 연구에서는 전문가의 지식과 경험을 체계화하고 투자가의 개인적 판단을 효과적으로 수용할 수 있는 전문가시스템의 접근방법을 제시하고자 한다. 투자대상 벤처기업의 선정을 위한 전문가시스템을 구축하기 위해 본 연구에서는 다양한 정보수집 과정을 거쳤다. 우선 벤처 투자와 관련된 기존 문헌을 심층 분석하였으며 아울러 벤처 투자 업계에서 활약중인 전문 벤처캐피탈리스트들과의 수차례 인터뷰를 통해 벤처기업 평가의 주요 요인과 의사결정 과정을 파악할 수 있었다. 이러한 과정을 통하여 본 연구에서는 벤처 투자의 90%를 차지하는 정보통신분야에 속한 기법 중에서 투자대상 벤처기업의 선정을 위한 전문가시스템을 구축중이다.의 밀도를 비재무적 지표변수로 산정하여 로지스틱회귀 분석과 인공신경망 기법으로 검증하였다. 로지스틱회귀분석 결과에서는 재무적 지표변수 모형의 전체적 예측적중률이 87.50%인 반면에 재무/비재무적 지표모형은 90.18%로서 비재무적 지표변수 사용에 대한 개선의 효과가 나타났다. 표본기업들을 훈련과 시험용으로 구분하여 분석한 결과는 전체적으로 재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computation. Adaptive transversal filter with proposed data recycling buffer algorithm could efficiently reject ISI of channel and in

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.11
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• pp.1655-1664
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• 2013

Recently, it becomes essential to forecast the future and identify emerging technologies in order to improve R&D efficiency and gain a competitive advantage under rapidly changing environment of science and technology. Therefore this research aims to identify the future and emerging technologies especially for the industry and applied it to list top ten emerging technologies. In this study, we identify research fronts across all areas of science and technology through verifying and comparing the 2008 and the 2012 surge in research activities. Finally we detect rapidly increasing 10 promising technology areas. This research results are expected to provide valuable information to support stragegic and policy decision making.

• Information Systems Review
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• v.6 no.1
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• pp.19-36
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• 2004

The importance of Internet banking has been emphasized due to the spread of Internet and the potential advantages of Internet banking. In case of Korea, Internet banking users have been risen dramatically since 1999 after its introduction. The purpose of this study is to draw the antecedent variables that affect the adoption of Internet banking and show their effects empirically. In this paper, influencing factors are proposed to distinguishing Internet banking users from non-users. And nine hypotheses are empirically tested using logistic regression. The results show that most of hypotheses are supported except for complexity and IT innovativeness. And compatibility was found to have a strong positive effect on the adoption of Internet banking. Implications of these findings are discussed for researchers and practitioners.

• Journal of Technology Innovation
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• v.20 no.3
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• pp.93-128
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• 2012

Defense technology planning identifies medium-and long-term core technologies to accomplish future defense goals and suggests strategies for future R&D. In order to promote the export-oriented defense industry, planning paradigms should be shifted from technology-oriented planning that focuses on weapon systems to market- oriented R&D planning. This study aims to strategically support 'preliminary technology planning' the Defense Agency for Technology and Quality is pushing ahead with. Through market-orientation analysis models of weapon systems based on defense R&D planning, data research on previous market-oriented research, and the analyses and examples of global defence markets, it evaluates market attractiveness to UAVs and drew methods for exploring markets and enhancing competitiveness of military equipment. The market-oriented analysis model of weapon systems is considered to be a helpful reference as a relevant factor for decision making on establishing and verifying requirement planning. In particular, if a market-oriented defense R&D planning process is established institutionally, it will enable us to make export strategies tailored to different equipment from the planning phase and to support marketing strategically.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.1-16
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• 2022

Although start-up is a key national strategy to increase national competitiveness and create employment, the survival rate of start-ups has not improved significantly. This is an important reason for the inability to provide timely and appropriate support to startups, which are in the early stages of start-up, due to the unique limitations of existing start-up support institutions and investors. The relatively recent accelerator is attracting attention as a subject of solving the above problems through professional incubation and investment. However, there are only a few empirical studies on investment determinants that affect the survival and success of accelerators, and there is a lack of theoretical evidence. Accordingly, in previous studies, 12 investment determinants were derived from a static, strategic, and dynamic perspective as accelerator investment determinants based on a business model innovation framework. This study subdivided the accelerator investment determinants derived through previous studies into 21 and analyzed the importance and priority of each factor using AHP (Analytic Hierarchy Process) analysis technique for domestic accelerator investment experts. As a result of the analysis, the top factors of importance of accelerator investment determinants were in the order of 'human resources', 'customer and market', 'intellectual resources', and 'entrepreneur's ability to realize opportunities'. It can be seen that the accelerator considers the core competencies of startups to implement solutions as the most important factor when making startup investment decisions. It was also confirmed that accelerators are strategic to create a clear value proposition and differentiated market position based on the core competitiveness of startups, and that the core value delivery method prefers a market-oriented business model and recognizes entrepreneurs's innovation capability is an important factor to realize a business model with limited resources in a rapidly changing market. This study is of academic significance in that it analyzes the importance and priority of accelerator investment determinants through demonstration as a follow-up study on accelerator investment determinants derived based on business model innovation theory that reflects the nature, goals, and major activities of accelerator investment. In addition, it is of practical value as it contributes to revitalizing the domestic startup investment ecosystem by providing accelerators with theoretical grounds for investment decisions and specific information on detailed investment determinants.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.276-278
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• 2007

인간의 모든 삶에 대한 디지털적 접근을 시도한 문화기술은 이제 IT 기술을 바탕으로 한 인간의 모든 생활에서 폭 넓게 적용되어 가고 있으며 앞으로 그 범위가 점차 확대되리라 기대된다. 문화기술은 어느 특정한 분야에서 연구되기보다는 모든 학문분야에서 학제적 연계를 통하여 연구, 발전되고 있다. 본 논문에서는 특히, 디지털기술에 바탕을 둔 문화콘텐츠의 개발 및 사용에 대한 효과적인 의사결정을 지원하기 위하여 데이터 마이닝 전략을 접목하고자 한다. 데이터 마이닝 분석기법올 적용하여 사용자로부터 만족될 수 있는 문화콘텐츠의 구현방안을 제안한다.

• Water for future
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• v.52 no.1
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• pp.40-51
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• 2019

본 연구를 통해 재난안전데이터의 공동활용을 위해 다양한 관점에서의 데이터 표준화가 필요하다는 것을 확인하였다. 향후 4차 산업혁명에서의 데이터의 위치와 빅데이터에서의 데이터 융합, 공공데이터 이용에 대한 패러다임의 변화에서도 볼 수 있듯이 재난안전정보 뿐만 아니라 데이터는 수요자 중심의 활용과 이용으로 새로운 데이터의 가치를 얻을 수 있음을 알 수 있다. 이러한 재난안전정보의 효율적이고 체계적인 공동활용을 위해 재난안전정보 관점에서 비정형 자료의 데이터 수집, 데이터베이스의 관리 및 데이터의 표준(안), 재난안전정보의 교환 표준(안) 및 공동활용 전략을 제시하였다. 이러한 연구를 통해 재난안전정보의 공동활용 체계를 구축하여 정보공유 및 재난안전정보의 추적, 활용이 가능하게 하여 신속하게 대국민 재난정보를 제공할 수 있는 체계를 구축하여 경험기반의 재난관리 및 지능형 재난관리의 의사결정을 지원할 수 있는 시스템으로 확장할 수 있을 것으로 기대한다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.4
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• pp.141-152
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• 2009

This research conducted research on the provision of the strategic information for the companies' financial and accounting parts among the functions that are provided by the ERP, elements related to the adoption of financial information system that influence and that supports decision-making and management performance. The results of this research are as follows. First, organization's degree of decentralization among the organization structure's characteristics and the element of information technology infrastructure among the information technology characteristics does not affect financial or non-financial performance. Second, financial information characteristics do not affect financial performance partially, Third, organization's size does not play the role of adjuster when it comes to the financial performance. Fourth, some research variables used on this research were not analyzed as important elements that influence financial performance, but the analysis showed that they mostly influence non-financial performance, which means that these are what could be considered strategically when adopting financial information system in the future.

• The Journal of Society for e-Business Studies
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• v.18 no.3
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• pp.125-142
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• 2013

As a reinforcing strategic-alignment of IT business, Financial Service becomes more rely on IT systems. It needs to continuous information security activities to provide a secure and reliable finance service. Performance measurement of information security activities can be useful for decision and management support. The purpose of this study is to derive CSF(Critical Success Factor) and KPI(Key Performance Indicator) based on K-ISMS, Financial IT Information Security Standards. Providing a rationale can be used to determine key performance indicators, which are utilized as basic data for establishing security policies for financial IT security competency.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.39-50
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• 2022

Based on the signaling theory, this study examined whether startups are more likely to attract venture investment when receiving government R&D subsidies. First, we reviewed previous studies of the investment decision-making process of venture capitalists and understood the conditions that influence investment decisions. Based on previous studies on the signal effect of government subsidies, particularly government R&D grants, on inducing private fund investment, this study revealed a mechanism to induce venture investment by startups. In addition, in order to verify whether government R&D subsidies have the effect of inducing venture investment, an empirical analysis was conducted based on data from startups under seven years and certified as a venture companies in 2021. This paper used PSM(Propensity Score Matching) method and DID(Difference In Difference) analysis for an empirical study to analyze the average treatment effect on the treated group(beneficiary startups of government R&D grants). As a result of empirical analysis, companies that receive more government R&D subsidies after starting a business are more likely to attract venture investment. From two to three years after conducting the first government R&D project, startups that received government R&D grants attracted more venture investment than those that did not. The results of this paper demonstrate that government R&D projects can also affect the venture investment ecosystem, giving policy implications to government R&D projects targeting startups. It is also expected to suggest strategic implications to startups that need new funding.