• 제목/요약/키워드: Technology Portfolio

검색결과 268건 처리시간 0.027초

이동통신 서비스 개발을 위한 유망기술 발굴 프레임워크 (A Technology Mining Framework in Developing New Wireless)

  • 이영호;심현동;김영욱;변재완
    • 경영과학
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    • 제26권3호
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    • pp.101-115
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    • 2009
  • In this paper, we propose a technology mining framework for mobile communication industry. We develop a two phase approach of new technology identification and service enhancement. The new technology identification process consists of R&D issues analysis, technology theme design, and emerging technology sampling. On the other hand, existing service enhancement process has technology landscaping, keyword based search, and technological growth analysis. By implementing these two phase frameworks, we develop a technology portfolio for mobile communication industry.

사업 포트폴리오의 기술시너지 효과 : 50대 재벌의 패널자료분석

  • 김태유;박경민
    • 기술혁신연구
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    • 제5권1호
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    • pp.15-43
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    • 1997
  • This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol's performance using data on the 50largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index, we calculated inter-industry technological similarity using R'||'&'||'D expenditure data by industry and 1990 Input-output Table in korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols' business profile, inter-inustry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions. diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols' financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS(Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness in not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI(Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and VI are significant and positively related to the dependent variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or VI will increase TFP growth rate, but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.t.

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간호관리학 교과에서 학습포트폴리오를 활용한 학습활동의 효과 (Effects of Learning Activities on Application of Learning Portfolio in Nursing Management Course)

  • 최소은;김은아
    • 대한간호학회지
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    • 제46권1호
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    • pp.90-99
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    • 2016
  • Purpose: This study was conducted to examine effects of a learning portfolio by identifying the learning of nursing students taking a learning portfolio-utilized nursing management class. Methods: A non-equivalent control group pretest-posttest design was used. Participants were 83 senior students taking the nursing management course in one of the Departments of Nursing at 2 Universities. Experimental group (n=42) received a learning portfolio-utilized nursing management class 15 times over 15 weeks (3 hours weekly). Self-directed learning abilities, approaches to learning and learning flow of the participants were examined with self-report structured questionnaires. Data were collected between September 2 and December 16, 2014, and were analyzed using chi-square test, Fisher's exact test, independent t-test and ANCOVA with SPSS/PC version 21.0. Results: After the intervention the experimental group showed significant increases in self-directed learning abilities, deep approaches to learning and learning flow compared to the control group. However, no significant difference was found between groups for surface approaches to learning. Conclusion: Learning activities using the learning portfolios could be effective in cultivating the learning competency for growth of knowledge, technology and professionalism by increasing personal concentration and organization ability of the nursing students so that they can react to the rapidly changing environment.

Multiperiod Mean Absolute Deviation Uncertain Portfolio Selection

  • Zhang, Peng
    • Industrial Engineering and Management Systems
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    • 제15권1호
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    • pp.63-76
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    • 2016
  • Multiperiod portfolio selection problem attracts more and more attentions because it is in accordance with the practical investment decision-making problem. However, the existing literature on this field is almost undertaken by regarding security returns as random variables in the framework of probability theory. Different from these works, we assume that security returns are uncertain variables which may be given by the experts, and take absolute deviation as a risk measure in the framework of uncertainty theory. In this paper, a new multiperiod mean absolute deviation uncertain portfolio selection models is presented by taking transaction costs, borrowing constraints and threshold constraints into account, which an optimal investment policy can be generated to help investors not only achieve an optimal return, but also have a good risk control. Threshold constraints limit the amount of capital to be invested in each stock and prevent very small investments in any stock. Based on uncertain theories, the model is converted to a dynamic optimization problem. Because of the transaction costs, the model is a dynamic optimization problem with path dependence. To solve the new model in general cases, the forward dynamic programming method is presented. In addition, a numerical example is also presented to illustrate the modeling idea and the effectiveness of the designed algorithm.

지적재산권 관리가 국내 디지털 미디어 콘텐츠 업체 VC 투자 유치에 미치는 영향 (From Invisible to Irresistible: Intellectual Property and Digital Media & Entertainment Ventures in Korea)

  • 현은정
    • 스마트미디어저널
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    • 제12권3호
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    • pp.93-101
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    • 2023
  • 본 연구는 디지털 미디어 콘텐츠 산업에서 기업의 지적재산권(IP) 포트폴리오가 벤처캐피털(VC) 조달 성공에 미치는 영향을 분석한다. 스타트업체와 VC 펀딩 정보를 제공하는 Crunchbase에 등록된 685개 국내 디지털미디어 콘텐츠 기업들을 대상으로 분석한 결과, IP 포트폴리오가 우수한 기업일수록 VC 펀딩에 더 유리하다는 점을 발견하였으며, 이는 특히 신생 기업에게서 더 강하게 나타났다. 본 연구 결과는 아직 평판과 실적이 충분하게 형성되지 않은 기업일수록 IP 포트폴리오를 더 철저하게 관리하는 것이 중요하다는 시사점을 준다.

ETP 2014에 기초한 이산화탄소 저감을 위한 수송 부문 에너지 기술 전망 (Energy Technology Perspective of Transportation for CO2 Reduction Based on ETP 2014)

  • 배충식;박현욱
    • 한국연소학회:학술대회논문집
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    • 한국연소학회 2014년도 제49회 KOSCO SYMPOSIUM 초록집
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    • pp.277-280
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    • 2014
  • Global energy demand has continued to rise due to population increase and economic development. National governments and international bodies try to seek the ways to reduce the demand growth. Energy Technology Perspectives (ETP) have provided the current status of energy system, technology developments and external events that have changed ETP scenario since 2006. The status and prospects for key energy technologies of transport sector are presented. Technology portfolio for the transport sector should be needed to meet very low CO2 targets. The portfolio includes improved fuel economy of current internal combustion engine vehicles, advanced technologies such as electric and fuel-cell vehicles, advanced biofuels and demand-side management.

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사내벤처캐피탈의 투자포트폴리오 운영성향과 기술혁신 효과 (Corporate Venture Capital and Technological Innovation: Effects of Investment Portfolio Composition)

  • 안현섭;윤지환
    • 기술혁신연구
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    • 제26권4호
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    • pp.29-56
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    • 2018
  • 최근 글로벌 기업들은 신기술 확보를 위해 사내벤처캐피탈(Corporate Venture Capital, CVC)을 설립하여 기술벤처에 투자하고 있다. 본 연구의 목적은 CVC의 투자 포트폴리오 운영방식 차이가 모기업의 기술혁신 효과에 영향을 주는지 통계적으로 실증 분석하기 위함에 있다. 구체적으로 CVC의 '시드(Seed)', '초기(Early)', '확장(Expansion)', '후기(Late)' 4가지 투자 단계별로 투자된 금액비중에 따라 매년 투자 포트폴리오 성장잠재성과 리스크 수준이 달라진다는 것을 발견하였고, 포트폴리오의 공격적인 투자성향과 외부 파트너십이 모기업 기술 혁신효과에 미치는 영향에 대해 분석하였다. 연구를 위해 글로벌 70개 CVC들이 21년간 투자한 실적 데이터를 음이항 패널 회귀분석(negative binomial panel regression)을 통해 검증하였다. 연구의 결과, 벤처 포트폴리오 내 시드/초기 단계 기업들에 투자한 금액이 클수록 기술혁신 효과는 증가하지만, 일정 수준 이상부터는 오히려 효과가 감소하는 Inverted U형 관계를 확인하였다. 또한, 각 투자단계별 벤처기업들에 공동 투자한 외부 파트너 수가 포트폴리오 운영성향과 기술혁신 효과 사이의 Inverted U형 관계를 약화시키는 조절효과를 통계적으로 실증하였다. 본 논문은 기업이 투자포트폴리오를 구성할 때 투자 단계와 경과시점을 고려할 경우 투자성과를 극대화할 수 있다는 점에서 기획 담당자, 벤처 투자자, 정책 관리자 등에 시사점을 제공할 수 있다.

바이오분야 국가연구개발사업의 포트폴리오 및 포지셔닝 분석 (Portfolio and Positioning Analysis of National R&D Programs in Biotechnology)

  • 김은중;김무웅;현병환
    • 기술혁신학회지
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    • 제14권2호
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    • pp.279-300
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    • 2011
  • 신성장동력으로 활용영역이 확대되고 있는 바이오분야에 대한 관심의 급증으로 최근 관련 투자 및 참여 부처가 확대되는 추세이다. 2008년 기준 국가연구개발사업에서 바이오분야 투자는 미래유망기술(6T) 중 IT에 버금가는 많은 투자가 이뤄졌으며 6개 부처 및 관련 청 출연기관 등에서 다양한 사업들을 수행하고 있다. 삶의 질, 고령화 및 환경 에너지 등 글로벌 이슈와 연관되는 바이오분야에 대한 국가연구개발사업의 포트폴리오 분석 및 포지셔닝 분석을 통해 바이오분야 투자현황을 검토 한 후 향후 바이오분야의 특성이 반영된 국가연구개발사업의 효율적 추진을 위한 투자 전략 및 방향을 제안하고자 한다.

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한국제조기업의 국내외 제휴 포트폴리오 전략 유형에 관한 연구 (A Study on Typology of Alliance Portfolio Strategy by Korean Manufacturer)

  • 최원웅;유천;정헌주
    • 국제지역연구
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    • 제20권4호
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    • pp.121-145
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    • 2016
  • 본 연구는 제휴 포트폴리오 전략을 규명하고 특성을 비교분석하여 성공적인 제휴 활용방안에 관한 시사점을 도출하고자 수행한 것으로 2012년과 2013년 기업활동조사에 중복하여 응답한 제조기업 중 제휴 경험이 1번 이상 있는 477개의 표본을 대상으로 연구를 수행하였다. 분석결과, 기업의 제휴 포트폴리오 전략은 탐색, 활용, 양손잡이 제휴 포트폴리오 전략의 3가지 유형으로 나타났다. 탐색 포트폴리오 제휴전략을 추진하는 기업은 주로 공동기술개발과 기술제휴를 중심으로 제휴 포트폴리오를 구성하고 있었으며 제휴의 수가 다른 유형에 비해 많고 넓게 퍼져 있는 특성을 보였다. 두 번째 전략인 활용 포트폴리오 제휴전략을 추진하는 기업은 주로 공동마케팅, 공동생산, 공동브랜드를 중심으로 제휴 포트폴리오를 구성하고 있으며 제휴의 수가 탐색제휴에 비해 적고 제휴 범위도 좁은 특성을 나타내고 있었다. 세 번째 양손 포트폴리오 제휴전략을 추진하는 기업은 공동마케팅, 공동기술개발, 기술제휴, 공동생산, 공동브랜드를 모두 적극적으로 활용하는 포트폴리오를 구성하고 있으며 추진한 제휴의 수도 가장 많고 넓게 퍼져 있는 특성을 나타내고 있었다. 제휴 포트폴리오 전략 유형 간 기업의 특성과 내부 역량은 보유 특허수, 기술개발역량, 마케팅 역량, 국제화 역량이 각각 통계적으로 유의미한 차이를 나타내었다.

유전자 알고리즘을 이용한 프로젝트 포트폴리오 투입인력 최적화 모델에 관한 연구 (A Study on the Optimization Model for the Project Portfolio Manpower Assignment Using Genetic Algorithm)

  • 김동욱;이원영
    • 한국IT서비스학회지
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    • 제17권4호
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    • pp.101-117
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    • 2018
  • Companies are responding appropriately to the rapidly changing business environment and striving to lead those changes. As part of that, we are meeting our strategic goals through IT projects, which increase the number of simultaneous projects and the importance of project portfolio management for successful project execution. It also strives for efficient deployment of human resources that have the greatest impact on project portfolio management. In the early stages of project portfolio management, it is very important to establish a reasonable manpower plan and allocate performance personnel. This problem is a problem that can not be solved by linear programming because it is calculated through the standard deviation of the input ratio of professional manpower considering the uniformity of load allocated to the input development manpower and the importance of each project. In this study, genetic algorithm, one of the heuristic methods, was applied to solve this problem. As the objective function, we used the proper input ratio of projects, the input rate of specialist manpower for important projects, and the equal load of workload by manpower. Constraints were not able to input duplicate manpower, Was used as a condition. We also developed a program for efficient application of genetic algorithms and confirmed the execution results. In addition, the parameters of the genetic algorithm were variously changed and repeated test results were selected through the independent sample t test to select optimal parameters, and the improvement effect of about 31.2% was confirmed.