• Title/Summary/Keyword: 기업 R&D 지원

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Performance Analysis of the National IT R&D Program (정보통신연구개발사업의 성과 제고방안)

  • Song, Hag-Hyun;Choi, Se-Ha;Kim, Yoon-Ho
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.2 no.2
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    • pp.85-94
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    • 2003
  • 정부에서는 정보통신기술개발을 위해 1993년부터 정보화 촉진기금을 설치하고 "정보통신연구개발사업"을 통해 이를 집중 지원하여 왔는데 정보통신 산업발전 및 정보화촉진을 위해 $1993{\sim}2001$년간 총 5조 8,252억원을 투입하였고 출연사업으로는 3조 1,012억원을 투입하였다. 정보통신연구개발사업 중 출연사업은 정보통신분야의 기술진흥과 정보통신산업 발전을 선도하기 위한 선도기술개발사업과 IT 신시장 창출 및 IT 산업경쟁력 제고를 위하여 산업체를 대상으로 지원하는 산업기술개발사업, 정보통신분야기 우수한 신기술을 보유하고도 자금부족 등으로 사업화를 못하는 개인 또는 중소기업에게 시제품개발 또는 산업화에 소요되는 사업비를 지원하는 우수신기술지정지원사업, 그리고 표준화사업과 연구기반조성사업 등이 대표적인 정보통신연구개발사업으로 사업별 지원 내용을 살펴보았다. 또한 인력양성을 제외한 정보통신연구개발 출연사업에 $1993{\sim}2001$년간 총 2조 1,755억원을 투자하여 매출이 28조원 이상 발생하는 등의 각종 성과가 있었는데 사업별 성과를 살펴보고 개선방안을 제시하였다.

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The Effect of CoP(Community of Practice) Influence Factors on Satisfaction and Learning Culture Activation in R&D Groups: Based on Comparison Analysis by Group Maturity (연구개발 직군의 실행공동체 영향요인이 만족도 및 학습문화 활성화에 미치는 영향:집단 성숙도에 따른 비교 분석)

  • Oh, Sungho;Kim, Bo-Young
    • The Journal of the Korea Contents Association
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    • v.15 no.12
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    • pp.407-420
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    • 2015
  • This study analyzes the effect of CoP(Community of Practice) influence factors on satisfaction and learning culture activation in R&D groups. Research model and hypothesis is designed the relationship the effect factors for CoP which are consist of personal factor, interacting factor, support factor and environmental factor and satisfaction and the learning culture activation focused on comparing between maturity and immaturity CoP member group. It conducted an analysis based on 371 survey responses significantly. Hence, interacting, supporting and personal factor have a significant positive effect on satisfaction but environmental factor was negative effect to it. CoP Satisfaction has a positive effect on the learning culture activation. However average between two groups has not a statistically significant difference in all of the factors. At the result, interacting between members is the most important factor to the successful CoP development of R&D groups.

Implement Business Knowledge Formalization and Succession Structure by Applying Learning Pathfinding Algorithm Based on Data from The Backbone System (기간계 시스템 데이터 기반 학습형 경로탐색 알고리즘 적용을 통한 업무 지식 형식화 및 승계구조 구현)

  • Sung-il, Park;Ik-Soo Choi
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.557-560
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    • 2023
  • 중소기업 현장에서 운용되고 있는 재고, 제품 관리 시스템을 기반으로, 숙련공의 경험적 지식(암묵지)를 형식지화 할 수 있는 방법을 제시하기 위해 기존 자료를 기반으로 하는 데이터 수집 및 가공 설계 파이프라인을 제시. 또한 해당 데이터를 기반으로 GA, AI기술 적용을 도모하여 기존의 업무지원시스템(Warehouse Management System, WMS / Manufacturing Execution System, MES)에서 제시할 수 없었던 "업무 지식의 자동화된 승계"의 기초를 마련하는 방법을 제시하고자 한다.

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Competitiveness and Export Performance in Korean Manufacturing Enterprises : Focusing on the Comparison of Conglomerates and SMEs (국내 제조기업의 경쟁력과 수출: 대기업과 중소기업의 비교를 중심으로)

  • Lee, Dong-Joo
    • Korea Trade Review
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    • v.43 no.3
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    • pp.1-26
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    • 2018
  • This study estimates the technical efficiency and total factor productivity(TFP) of and analyzes the relationship between TFP and exports for Korean manufacturing companies from 2000 to 2016. Specially, TFP is decomposed into Technical Change(TC), Technical Efficiency Change (TEC), and Sale Effect(SE), and compared between large and small enterprises. First, in the case of technical efficiency, the Korean economy has been very vulnerable to external shocks, such as the sharp decline following the 2008 financial crisis. The efficiency of the electronics, automobile, and machinery sectors is low and needs to be improved. In addition, the technological efficiency of large enterprises is higher than that of SMEs in most manufacturing sub-sectors except for non-ferrous metals. In the case of TFP, most changes are due to TC, and the effective combination of labor, capital and the effect of scale have little effect, suggesting that improvement of internal structure is urgent. In addition, volatility due to the impact of the financial crisis in 2008 was much larger in SMEs than in large companies, so external economic impacts are more greater for SMEs than large enterprises. The relationship between TFP decomposition factors and exports shows that TC has a positive effect only on exports of SMEs. Therefore, in order to increase exports, in the case of SMEs, R&D support to promote technological development is needed. In the case of large companies, it is necessary to establish differentiated strategies for each export market, competitor company, and item to link efficiency and scale effect of exports.

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POLICY & ISSUES 환경칼럼 - 환경산업 1,000조원 시대, 녹생강국으로 도약하자

  • Song, Jae-Yong
    • Bulletin of Korea Environmental Preservation Association
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    • s.398
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    • pp.2-4
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    • 2012
  • 최근 가장 유망한 산업 분야를 꼽으라면 단연 환경산업이라고 할 수 있을 것이다. 과거의 경우, 환경산업은 환경오염 유발물질을 처리하기 위한 '사후처리산업'으로 인식되었고, 환경정책은 기업 활동을 규제하는 정책으로 '경제성장과 상충되는 개념'으로 인식되었던 것이 사실이다. 하지만 최근 들어 '삶의 질'에 대한 관심이 커지고, 기후 변화 대응 및 수자원관리의 중요성이 커짐에 따라 환경산업은 친환경 제품생산, 신 재생에너지 개발, IT/BT 등 첨단기술과의 융합사업 등 그 분야를 점차 확대해 가고 있는 추세이다. 환경부도 환경산업을 정책적으로 육성하기 위하여 환경과 경제의 상생을 목표로 하여, 유망 환경기술에 대한 R&D 투자 확대, 환경전문인력 양성 프로그램 운영, 환경산업 비즈니스 상담회 개최, 수출지원 상담센터 운영 등 다양한 지원프로그램을 마련하고 있다.

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The Empirical Study On Factors Influencing Technology Commercialization : Based on Automobile Industry (기술상용화의 결정요인에 관한 실증연구: 자동차산업을 바탕으로)

  • Kim, Gwang-Suk;Jung, Ho-Jin;Jang, Young-Jae
    • Journal of Technology Innovation
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    • v.20 no.1
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    • pp.235-262
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    • 2012
  • Although a commercialization of developed technology is an important factor for firm's competitiveness, the success rate in technology commercialization is significantly low. This fact raises a need of an analysis on factors affecting success in technology commercialization. Thus, in this study, in order to determine the success factors of technology commercialization, statistical analysis is done on 4 different elements of Korean automobile industry firms: managerial group attitude, market orientation, technology quality, and government support; and developed a causal-relationship model of the above elements and commercialization. In the developed model, two moderating variables, corporate ability and industry classification, are added to determine the level of correlations respect to two moderating variables. As a result of hypothesis tests, market orientation, managerial attitude as an antecedent variable; and government support, technology quality as an antecedent variable, both have significant correlation with technology commercialization. For moderating variables, a corporate ability has moderating effects on the connections of managerial attitude, market orientation and technology commercialization; but an industry classification has a moderating effect only on the link between technology quality and government support. The results of this research serve a contribution to the development of R&D efficiency improvement by providing government with direction in science & technology policy.

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The Effects of Relationship between Universities, Public Research Institutes and External Organizations on Performance of Technology Transfer : based of Triple Helix Model (대학·공공연구소와 외부기관과의 관계가 기술이전 성과에 미치는 영향 : Triple Helix 모형을 기반으로)

  • Son, Hosung;Chung, Yanghon;Yoon, Sangpil
    • Journal of Korea Technology Innovation Society
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    • v.21 no.2
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    • pp.587-614
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    • 2018
  • The Korean government is aiming to strengthen industrial and national competitiveness through the promotion of cooperation between universities, public research institutes and industry and vitalization of technology transfer. In 2013 and 2014, the Ministry of Trade, Industry and Energy and Ministry of Science, ICT and Future Planning have announced policies to support SMEs by public research organizations. In addition, in 2015, the 'Korean Fraunhofer support system', which pay government subsidies according to the amounts of private R&D funds was adopted. However, there are some concern about the government's policies. There is yet disclosed how these policies affect technology transfer because industrial R&D funding has not been activated in Korea unlike German. Therefore this paper analyzes effects of relationship between universities, public research institutes and external organizations on performance of technology transfer based on the Triple Helix Model. Empirical results show that the relationship with the government has a significant impact on the resource security and the relationship with the industry has a significant effect on the diffusion of the performance. In addition, a public research institute was selected and case analysis was conducted to suggest policy implications for improving the technology transfer performance of universities and public research institutes.

Creative Economy Activation Policy using Virtual Cluster-type Dynamic Collaboration Platform (버추얼 클러스터형 다이내믹 협업 플랫폼을 활용한 창조경제 활성화 정책)

  • Lee, Kark-Bum;Kim, Joon-Ho
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.101-111
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    • 2013
  • Start-up support policy is expanding for the activation of creative economy. Domestic start-up is activated in early 2000, but is shrinked rapidly because there is not enough collaborative system of R&D, start-up, finance, and management support. Many organizations and collaborative environment in Silicon valley of USA is developed for long time. In Korea, creative economy is constructing rapidly led by government like building industrialization and information society. VCDP(Virtual Cluster-type Dynamic Collaboration Platform) is a good tool for the start-up support policy. This study explains the necessity and effectiveness of VCDP and suggests creative activation policy using this tool.

Theoretical Study on Industrial Design Data (디자인 산업데이터에 관한 이론적 고찰)

  • Ahn, Jinho
    • Journal of Service Research and Studies
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    • v.11 no.3
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    • pp.31-42
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    • 2021
  • This study is a study on theoretical considerations on industrial design data in the era of data economy. This study aims to illuminate the value of industrial design data, interpret the meaning of the transition from design management to the design data era, and highlight the importance of literacy to interpret data for designers. The scope of research approaches the R&D capability dimension of a company to explore the industrial value of design. It limits the scope of research from an industrial point of view rather than the humanistic basis and aesthetic value of design. As a result of the study, it was found that the value of industrial design data is not in ex post evaluation, but in customer-oriented market prediction, and that the design industry data-led strategy is important. The key point is that the industrial design data issues of large companies and SMEs are different, the direction of industrial design data should be to support customer-centered decision making in the product/service development of companies, and the core competency is the amount of data or tools and technologies to handle it. No, it should be in data literals. Lastly, if the use of industrial design data is to be strengthened, management of the public level rather than the personal level of data management should be preceded.

Open Innovation Models in SMEs (중소기업의 오픈 이노베이션 모형)

  • Yoon, Byung-Un;Lee, Sung-Joo
    • Journal of Korea Technology Innovation Society
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    • v.13 no.1
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    • pp.160-183
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    • 2010
  • Recently, although many firms conduct open innovation through collaboration with other innovation actors, little attention has been paid to research and case study with regard to SMEs. However, since the capability of SMEs is too insufficient to access external resources and collaborate with other firms, SMEs have practical needs for active open innovation. In addition, although a lot of SMEs depend on external resources in terms of distribution, services and sales, most of open innovation-related research concentrate on R&D and production. Therefore, this research aims at presenting various types, methods and policy to stimulate the open innovation of SMEs. Typical types of open innovation which SMEs can take will be identified and then a relevant open innovation type will be matched on the basis of the characteristics of sectors. The results of this research will be helpful for policy makers to promote open innovation in SMEs.

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