• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 2003년도 제23회 하계학술발표회 논문집
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• pp.136-157
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• 2003

• Architectural research
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• 제12권2호
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• pp.85-92
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• 2010

In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts' or decision makers' subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model's capacities and imply the application to other extended types of construction robotic systems.

• 한국경제지리학회지
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• 제9권3호
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• pp.318-340
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• 2006

지난 10여년 동안 새로운 내생적인 경제성장의 동력으로서의 지식창출활동에 대한 관심이 크게 고조되면서, 지식기반경제에서 지식창출을 측정하는 지표로서 특허의 중요성이 더욱 부각되고 있다. 선진국의 경우 지식창출활동은 공간상에 특정지역으로 집중되거나 클러스터를 형성하는 것으로 분석되고 있다. 본 연구는 1981-2000년 동안 국내 특허 데이터를 토대로 하여 지식창출활동의 성장에 따른 공간분포패턴을 분석하는데 목적을 두었다. 등록된 특허 원시자료를 데이터베이스로 구축하여 공간통계와 지리정보체계를 활용하여 지식창출활동 패턴의 공간적 연관성을 분석하였다. 우리나라의 경우 지식창출량의 68.5%가 단지 상위 10개 도시에 집중되어 있을 정도로 매우 불균등하게 지식창출활동이 이루어지고 있으며, 지식창출활동의 공간분포 패턴은 유의미한 공간적 자기상관을 보이는 것으로 나타났다. 실제로 서울과 수원을 중심으로 하는 지식창출량이 많은 H-H형 클러스터는 수도권내에서만 형성되어, 지식창출활동의 확산은 공간의 제약성을 받고 있는 것으로 나타났다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 추계학술대회 논문집
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• pp.762-769
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• 2008

Each nation of the world is competing aiming for the growth of economy and quality of life, and, knowledge based economic system is accelerated. So, R&D is continuously propelled for possession of technology is core in the knowledge based economic system. Our government is investing R&D but efficiency is the continuous theme of the study. Also, government's railway R&D made visible fruits and analyze that.

• 한국지역지리학회지
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• 제23권1호
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• pp.227-238
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• 2017

지식경제 하에서 새로운 지식과 기술을 창출하고 확산시키는 기관으로서 대학의 기능이 과거 그 어느 때보다 강조되고 있다. 오늘날 전 세계적으로 많은 대학들은 교육과 연구라는 전통적인 역할을 넘어서서 산업계와의 협력을 통한 지역의 경제 발전을 주도하기 위하여 적극적인 노력을 기울이고 있다. 이 연구는 산학협력, 특히 대학과 외부 기관 간의 지식이전 및 지식 교환의 양상을 파악하고, 대학의 지식이전이 지역과 지역 소재 기업들의 혁신과 경쟁우위를 확보하는데 얼마나 영향을 미치는지를 살펴보고자 한다. 전남대학교의 지식이전, 특히 대학이 외부기관과 체결한 연구계약에 의거하여 살펴본 사례 분석의 결과는 전남대학교가 창출한 지식이 기대와 달리 대학 소재 지역인 광주 및 전남 지역으로 제한적으로만 이전되고, 지역경제의 발전에 부분적으로만 영향을 미치는 것으로 밝혀지고 있다. 그런데 이러한 지식이전은 연구 발주자인 고객의 소속 부문과 연구계약의 내용에 따라 다소 차이가 있는 것으로 분석된다.

• 한국건설관리학회논문집
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• 제2권1호
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• pp.68-77
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• 2001

건설교통부는 지식기반 경영을 통한 건설산업의 고부가가치화를 위하여 $\lceil$건설산업의 지식기반 구축$\rfloor$을 제시하였다. 그러나 여러 주체들(정부, 연구소/대학, 기업 등)이 지식관리를 추진하기 위한 가이드라인이 없어서 건설산업의 지식관리체계 구현에 걸림돌이 되고 있다. 연구의 목표는 3005년 건설CALS/EC 구현과 함께 건설산업의 지식포털을 구축하기 위하여 건설산업 각 주체(정부, 연구소/대학, 건설업체 등)가 지식활동을 원활하게 할 수 있는 역할을 제시하는 것이다. 이 목표를 달성하기 위하여 지식관리와 관련된 현황분석, 건설산업 지식관리 구현방향 제시, 건설산업 지식관리체계 구현을 위한 추진전략을 도출하였다. 연구의 결과로 건설산업 지식관리체계의 추진전략을 수립하여 전략을 달성하기 위한 각 주체(정부, 연구소/대학, 건설업체)의 역할을 제시하였다. 이 연구의 결과는 건설산업을 고부가가치 산업으로 선도할 지식관리체계 구현과 지식포털 구축을 위하여 건설산업의 각 주체들이 실천할 수 있는 유용한 매뉴얼이 될 것이다.

• Journal of Information Technology Applications and Management
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• 제20권4호
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• pp.165-189
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• 2013

The advance of the smart working environment came the expectation that it would innovate and revolutionize the way people work, particularly in a society where smart work is readily available for creating a collaborative and 'connected' business. One of the core infrastructure elements for making smart work a viable option is the smart work center, the promotion of which requires a new form of 'smart work center business model' that can satisfy the purposes of both public services and private businesses. This calls for collaboration between the public and private sectors. Recently a number of businesses have been making significant headway in the creation of a new environment for business support and collaboration by adopting a sharing economy business model in their offices. The so-called 'Coworking Space' is an advanced form of business environment in the emerging 'smart work' era, and comes with the benefits of reduced costs as a result of sharing office space and knowledge sharing through the use of human networks. This paper describes the framework of a 'smart work center business model based on the sharing economy' using a BMC (Business Model Canvas), with an understanding of the characteristics inherent to the smart work center and the sharing economy. It was on the basis of this framework that a smart work center model for business incubation and startup, a private smart work center model for childcare services, and a community marketplace model with a global network were developed.

• 기술혁신학회지
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• 제4권1호
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• pp.64-78
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• 2001

The 21st century is characterized by knowledge-based economy or society. The most important features of this knowledge society are the close relationship between science and technology, and the birth of science-based technologies or industries. Bioindustry which is the core area in this era is a representative science-based industry(SBI). In SBIs including BT(biotechnology) and ICT(information and communication technology), the creation of scientific knowledge and the ability to capitalize on that are very important. The United States leadership in research across the spectrum of science and technology is the result of the success in both achieving high level of research and capitalizing on that enabled them to grow. Capitalization is the process that transforms the results of research into practical concrete national benefits. It is such a dynamic process that cant be clearly modeled. In this study, we propose the dynamic capitalization process for innovation of SBIs in terms of the fuel and engine and analyse our potential.

• 대한산업공학회지
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• 제19권3호
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• pp.3-10
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• 1993

The main propulsion system may be the most complicated of the shipboard systems. Many factors such as fuel economy, weight, space, first cost, reliability, vibration and noise must be considered when selecting the prime mover of the main propulsion system for ships. An expert system is a computer program that represents and reasons with knowledge of some specialist subject with a view to solving problems or giving advice. Recently, it is being developed increasingly with wider applications in many industries. This paper describes development of knowledge-based system for main engine selection of ships using general purpose expert system development tool, Nexpert Object. Developed system is consist of ship performance estimation module such as resistance and propulsion, data base for main engine, knowledge base for main engine selection in Nexpert Object and graphic user interface.

• 디지털융복합연구
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• 제7권2호
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• pp.63-70
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• 2009

It is well known that in the knowledge-based economy a firm's intellectual property including patent is crucial for its competitive advantage. In industrial economy, tangible assets such as land and equipment have been of critical importance for a firm's competitiveness. However, as the paradigm shift to the knowledge-base economy is being accelerated, intangible assets such as intellectual property are considered to be more influential for a firm to be competitive. The valuation of intangible asset is as necessary as that of tangible asset. In particular, reasonably accurate valuation of patent which represents a firm's technological competitiveness seems to be of great importance since (1) it is essential for a firm's patent strategy development, (2) it can activate the technology market, and (3) it is necessary to evaluate a patent's technological contribution when multiple patents are used to develop and commercialize an innovative product. Unlike that of tangible asset, the valuation of intangible asset is very difficult. In order to figure out a value of patent it is necessary to use a number of appropriate valuation factors. In this paper, we surveyed various valuation factors presented by previous researches and several technology valuation organizations to find a set of common valuation factors considered to be of more importance.