• Proceedings of the Technology Innovation Conference
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• 2003.06a
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• pp.136-157
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• 2003

• Architectural research
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• v.12 no.2
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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.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.3
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• pp.318-340
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• 2006

In the last decade, there has been a widespread interest in knowledge production activities as a new engine of endogeneous growth. In the knowledge-based economy, there has been a growing importance of the patent as the index of knowledge production. Much literature suggests that knowledge production activities tend to be spatially concentrated and formed the clusters in the advanced economies. The purpose of this paper is to analyze spatial-temporal patterns of knowledge production activities in Korea based on a data set of patents from 1981-2000. This paper uses spatial statistical methods and GIS to explore the spatial dimensions of knowledge production activities in Korea. Through this research, it was found that knowledge production activities were unevenly distributed. The knowledge production activity measured by patent counts is highly concentrated in a limited number of cities. The top 10 cities accounted for 68.5% of the total number of patents in the period of 1981-2000, suggesting the existence of a strong concentration of knowledge production activities in Korea. The locations of knowledge production activities by themselves represented a strong spatial autocorrelation. The concentration of knowledge production activities in Korea is spatially correlated to the concentration of adjacent neighboring cities. The location of knowledge production activities is not free from a spatial context and spillover of knowledge production activities are heavily bounded within geographic limits, forming a spatial cluster. There appear some quite a large spatial cluster around the seoul metropolitan area.

• Proceedings of the KSR Conference
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• 2008.11b
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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.

• Journal of the Korean association of regional geographers
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• v.23 no.1
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• pp.227-238
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• 2017

Under the knowledge-based economy, the function of university as an institution to create and diffuse new knowledge and technology is emphasized than ever before. Today, universities around the world find themselves going beyond the traditional roles of research and teaching to drive the development of local economies through collaborations with industry. This study aims to examine the university-industry collaboration and identify the aspects of knowledge transfer and exchange between university and external agencies and intends to explain in particular how the knowledge transfer of the university affects the innovation and competitive advantage of regional businesses. The analysis on the case study of Chonnam National University focusing on the knowledge transfer, in particular examined through the contracted or commissioned researches suggests that only a small portion of the knowledge generated by the university is transferred to Gwangju and Jeonnam region, thus it can be seen that knowledge transfer of Chonnam National University partially affects the development of the regional economy. However, it is analyzed that this knowledge transfer differs somewhat depending on the client's sectors and the contents of research contracts.

• Korean Journal of Construction Engineering and Management
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• v.2 no.1 s.5
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• pp.68-77
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• 2001

MOCT(Ministry of Construction & Transportation) suggested 'A Plan for Implementation of Knowledge-based Economy for the Construction Industry' to add high value to the construction industry by means of knowledge-based management techniques. However, there are no guidelines which help the bodies of the construction industry(government, research center / university, enterprise, etc) with doing a knowledge management. So it is difficult to implement the knowledge management systems for the construction industry. To establish the knowledge portal for the construction industry, the objective of this study is to present works, which help the bodies of the construction Industry(government, research center/university, enterprise, etc) with doing knowledge activities efficiently. To accomplish this objective, we analyzed the overall knowledge management activities. And we suggested an implementing direction of the knowledge management systems for the construction industry and a strategy for implementing the knowledge management systems in the construction industry. As results of this study, we established a strategy of knowledge management and works of the bodies of the construction industry(government, research center / university, enterprise, etc) We expect that the results of this study will be used as a manual of the bodies of the construction industry for implementing knowledge management systems and the knowledge portal that brings the construction industry to high value added industry.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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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.

• Journal of Korea Technology Innovation Society
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• v.4 no.1
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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.

• Journal of Korean Institute of Industrial Engineers
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• v.19 no.3
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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.

• Journal of Digital Convergence
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• v.7 no.2
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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.