• 제목/요약/키워드: Knowledge Production

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Divergence of knowledge production strategies for emerging technologies between late industrialized countries: Focusing on quantum technology

  • Kang, Inje;Choung, Jae-Yong;Kang, Dong-in;Park, Inyong
    • ETRI Journal
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    • 제43권2호
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    • pp.246-259
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    • 2021
  • Traditional wisdom on how late industrialized countries follow the technology trajectories of preceding economies is in need of reformation as these countries have attained industrial leadership in a growing number of fields. However, current understandings about these countries' development of their emerging technologies have yet to investigate the divergence of idiosyncratic technology trajectories. The aim of this paper was to explore how their knowledge production strategies in emerging technology sectors are diverging. Specifically, this research examines the changing patterns of knowledge production in quantum technology in South Korea and China by developing a knowledge portfolio and knowledge strategic diagram. According to the knowledge portfolio, the relative literature position differs. In the knowledge strategic diagram, there are diverging patterns in the emerging keywords sector. This paper contributes to the literature by demonstrating the diverging strategies of late industrialized countries in their transition from catch-up to post-catch-up paradigms and provides policy implications for countries developing an idiosyncratic trajectory in emerging technology sectors.

생산기반기술 디지털화를 위한 지식공유형 플랫폼 개발: 전자패키지 표면실장기술을 중심으로 (Development of Knowledge Sharing Platform for Digitization of Surface Mount Technology)

  • 배성민;손수현;권상현;이효수;허영무;강문진;유세훈
    • 마이크로전자및패키징학회지
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    • 제18권1호
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    • pp.1-5
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    • 2011
  • In this paper, we introduce knowledge sharing platform for production technology. Surface mount technology (SMT) is one of the important production technologies to fabricate electronic devices. The production technology of the SMT, however, has been propagated from an experienced worker to an inexperienced worker in a manufacturing field. The objective of the knowledge sharing platform is to convert the production experiences like a solder printing knowhow into quantitative values, to construct the database of the process technologies, and to share the technologies systematically via web portal service. In addition, the knowledge sharing platform contains the total production process of mobile products, the information of experts and facilities, and recent R&D output. In this manner, the knowledge sharing platform for production technology could strengthen the technological competitiveness of small and medium manufacturing companies in Korea.

SECI모델을 이용한 생산현장 지식경영촉진체계 구축 (Development of a Knowledge Management Promotion System of Utilizing the SECI Model in Production Fields)

  • 김영인;홍성조
    • 산업경영시스템학회지
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    • 제31권2호
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    • pp.1-10
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    • 2008
  • In the knowledge-based society which recognizes knowledge as a core value, knowledge management is one of the most interesting issues. The creation of knowledge within an organization occurs as a result of interactions of tacit and explicit knowledge, in process of knowledge conversion. One useful model of this process is the SECI model which stands for a process of socialization, externalization, combination and internalization of knowledge. The enterprise competitive power depends on how an organization accelerates the speed of the cycle of knowledge creation well. In this paper we introduce a knowledge management promotion system based on SECI model and proposal system to promote the cycle of knowledge creation in production fields, and study an enterprise case.

Financing of Innovation - A Survey of Various Institutional Mechanisms in Malaysia and Singapore

  • Mani, Sunil
    • 기술혁신연구
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    • 제12권2호
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    • pp.185-208
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    • 2004
  • Production of goods and services always necessarily depends on the use of knowledge. The knowledge intensity of production , however, has increased manifold in the last two decades or so. This is clearly indicated by the rise in the share of knowledge intensive products, which are traded. The production and export of these advanced products are not confined to developed countries alone, but also among developing countries. But in the latter there is considerable concentration of it in a handful of countries primarily in the Asian region. Knowledge underlying production, whether industrial or non-industrial, embodies two types of knowledge: formal and non-formal. In this paper we are entirely concerned with the financing of the creation of formalized knowledge in the context of two similar Asian developing countries, namely Singapore and Malaysia. Three broad types of financial instruments are considered: research grants, tax incentives and venture capital. Both the countries are shown to be having very similar financial instruments for promoting innovation. The timing of these instruments is quite similar too. But one country has performed much better than the other. The main argument of the paper is that while financial instruments are a necessary input for innovation, the sufficient condition lies in the supply of a sufficient quantity of scientists and engineers.

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퍼지규칙으로 구성된 지식기반시스템에서 동적 추론전략 (A Strategy of Dynamic Inference for a Knowledge-Based System with Fuzzy Production Rules)

  • 송수섭
    • 한국경영과학회지
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    • 제25권4호
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    • pp.81-95
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    • 2000
  • A knowledge-based system with fuzzy production rules is a representation of static knowledge of an expert. On the other hand, a real system such as the stock market is dynamic in nature. Therefore we need a strategy to reflect the dynamic nature of real system when we make inferences with a knowledge-based system. This paper proposes a strategy of dynamic inferencing for a knowledge-based system with fuzzy production rules. The strategy suggested in this paper applies weights of attributes of conditions of a rule in the knowledge-base. A degree of match(DM) between actual input information and a condition of a rule is represented by a value [0,1]. Weights of relative importance of attributes in a rule are obtained by AHP(Analytic Hierarcy Process) method. Then these weights are applied as exponents for the DM, and the DMs in a rule are combined, with MIN operator, into a single DM for the rule. In this way, overall DM for a rule changes depending on the importance of attributes of the rule. As a result, the dynamic nature of a real system can be incorporated in an inference with fuzzy production rules.

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지식서비스산업의 경제적 파급효과 분석 (An Analysis of Economic Ripple Effect on the Knowledge Service Industry)

  • 김방룡;김영은
    • 한국정보통신학회논문지
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    • 제18권4호
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    • pp.771-778
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    • 2014
  • 본 연구에서는 우리나라의 지식서비스 산업에 대한 생산유발, 부가가치유발, 고용유발 효과 및 전 후방연쇄효과를 추정하였다. 지식서비스 산업은 부가가치 및 고용 증대에는 크게 기여하고 있지만, 생산유발이나 전 후방연쇄효과는 매우 취약한 것으로 나타났다. 최근 정부는 지식서비스 산업으로부터 새로운 성장 동력을 찾고 있는데, 그 방향성은 지식서비스 산업의 생산성 향상이 되어야 한다는 사실이 본 연구를 통하여 입증되었다.

한국의 기초연구능력 구축과정 : 우수연구센터(ERC/SRC) 제도를 중심으로 (The Accumulation Process of Basic Research Capability in Korea : Case Study on ERC/SRC)

  • 황혜란;윤정로
    • 기술혁신학회지
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    • 제6권1호
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    • pp.1-19
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    • 2003
  • The mechanism of knowledge production in the basic science has been changed throughout the development process in Korea. During the 1970s, the focus resides in the support of individual scientists while it concentrated on the support of research organization, centered on center of excellence from the 1980s. The change in the sup-porting mechanism to basic science result in the transformation of knowledge production system in the university and impact on the behavior of individual scientists. This paper focuses on the co-evolution process between newly adopted supporting program for basic science and the knowledge production system via the case study of representative program of center of excellence supporting program in Korea.

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A Study on Dynamic Inference for a Knowlege-Based System iwht Fuzzy Production Rules

  • Song, Soo-Sup
    • 한국국방경영분석학회지
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    • 제26권2호
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    • pp.55-74
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    • 2000
  • A knowledge-based with production rules is a representation of static knowledge of an expert. On the other hand, a real system such as the stock market is dynamic in nature. Therefore we need a method to reflect the dynamic nature of a system when we make inferences with a knowledge-based system. This paper suggests a strategy of dynamic inference that can be used to take into account the dynamic behavior of decision-making with the knowledge-based system consisted of fuzzy production rules. A degree of match(DM) between actual input information and a condition of a rule is represented by a value [0,1]. Weights of relative importance of attributes in a rule are obtained by the AHP(Analytic Hierarchy Process) method. Then these weights are applied as exponents for the DM, and the DMs in a rule are combined, with the Min operator, into a single DM for the rule. In this way, the importance of attributes of a rule, which can be changed from time to time, can be reflected in an inference with fuzzy production systems.

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