• 지식경영연구
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• 제9권1호
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• pp.39-59
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• 2008

This paper is an empirical study to analyze the flow of knowledge in science and technology in order to predict technology innovation. Here, we use the information of scientific papers and patents to look into the characteristics of how knowledge is created in science, technology and industry. Based on the characteristics we find, we are able to understand the relationships between science and technology, and technology and industry. In this paper, we adopt multivariate analysis of variance (MANOVA) using scientific papers in SCI database and US patents filed by Korean inventors in order to analyze the patterns of knowledge flows of science and technology. Finally, we present the direction for future study by using the research results.

• 한국건설관리학회논문집
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• 제14권2호
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• pp.160-170
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• 2013

지식서비스 산업은 지식의 생산, 가공, 활용을 통하여 부가가치를 창출하는 산업을 말한다. 지식 서비스 산업은 다른 서비스 산업에 비해 혁신 지향적이고 타 분야에 미치는 영향이 큰 특성을 지니지만, 이에 대한 연구는 미미한 실정이다. 본 연구에서는 지식 서비스를 창출하는 설계사무소의 기술 혁신의 필요성을 제기하며 건축설계사무소의 혁신 성과를 효율성 측면에서 분석하였다. DEA-Tier분석을 이용하여 건축설계사무소의 효율성의 크기에 따라 분류하고, 효율성 격차가 현저한 건축설계사무소들에게는 단기적, 중기적, 장기적인 관점에서의 실질적인 벤치마킹 경로까지 제시하여 향후 설계서비스업의 효율성 제고 전략 수립에 필요한 방법론을 제시하였다.

• 한국경제지리학회지
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• 제6권2호
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• pp.293-306
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• 2003

충북지역은 지역 내 총생산의 이윤부문이 외부로 유출되고 있으므로 기반산업의 육성이 필요한데 이를 위해 주력 제조업은 주 업종으로 석유화학, 반도체 업종을, 부차적인 업종은 자동차 산업으로 하고 이들 업종에 디지털 산업을 결합시켜 고부가가치의 차세대 산업동력으로 발전시켜 나가야 할 것이다. 그리고 충북지역의 지식기반 서비스업인 교육 서비스와 보건복지 및 연구개발 서비스업은 정밀화학, 생물산업의 주 업종과 부차적인 정밀기기 업종의 지원사업으로 이들 기업간의 네트워크를 형성하고 교육기관과 연계하여 지역혁신체제를 구축하여야 할 것이다.

• Asia Marketing Journal
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• 제4권2호
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• pp.1-25
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• 2002

This study tested major determinants of customer satisfaction and loyalty by varying degrees of customers' knowledge level. Also, authors investigated the degrees of those impacts by classifying industries into two groups(service/manufacturing). Based on 4,000 completed surveys from five major cities, authors found the relationship among perceived quality, perceived value, and corporate image with customer satisfaction and customer loyalty. As a result, corporate image(extrinsic cue) was a major determinant to customers who are low knowledgeable and impacts of corporate image on customer satisfaction was stronger in service industry than manufacturing industry.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2006년도 정기 학술대회 논문집
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• pp.185-191
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• 2006

As development of information technology, companies stress the need of knowledge management. Companies construct ERP system including knowledge management. But, it is not easy to formalize knowledge in organization. They experience that constructing information system help knowledge management. Now, we focus on engineering knowledge. Because engineering data contains experts' experience and know-how in its own, engineering knowledge is a treasure house of knowledge. Korean shipyards are leader of world shipbuilding industry. They have accumulated a store of knowledges and data. But, they don't have data minning tool to utilize accumulated data. This paper treats development of data minning tools for the utilization of shipbuilding knowledge based on genetic programming (GP).

• 통상정보연구
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• 제9권4호
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• pp.329-347
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• 2007

Knowledge-based Service evolution and the e-business has emerged as a new economic activity and beyond the time and space limitations. But the Enterprises have been too inactive in their willingness and readiness to adopt e-business models and processes owing to the lack of the directions of e-business, the insufficient network infrastructures and capitals, etc., In this circumstance, as part of this research, This Papers have conducted a survey on the e-business and information conditions and status among the Enterprises. In Conclusions, this study Study on the Informationalization of the Enterprises and Knowledge-based Service Industry Enlarge Strategics for building competition of Enterprises. This study has suggested potential plans to reinforce based in the Knowledge-based Service.

• 대한안전경영과학회지
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• 제13권2호
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• pp.251-258
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• 2011

The existing evaluation systems based on financial performance summarize the information about past results and focus on short-term performance, and so they have the limits to explain the future value of firms and to make a long-term strategic performance. By this reason, as a way to increase the future value, the development of the integrated performance evaluation system with which we may manages financial performance and knowledge assets together has been required recently. This study puts together various researches for the evaluation of knowledge assets, and analyzes the existing studies for the domestic medical devices industry and the tendency of introduction for business practice. Under this analysis, this study develops the knowledge asset evaluation indexes for medical devices industry by using the Balanced Score Card (BSC) of Kaplan & Norton(1992), and then presents the evaluation model by applying the Analytic Hierarchy Process (AHP) of Saaty(1980) to get the weight for each index. With the final evaluation model, we can calculate the evaluation score combined with both the quantitative indexes and the qualitative indexes at once.

• 지식경영연구
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• 제14권1호
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• pp.95-119
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• 2013

Although merger and acquisition (M&A) has been considered as an important means to improve firm performance, most prior empirical research have failed to prove the relationship between M&A and firm performance. In order to fill this gap, this study attempts to identify the effect of M&A on firm performance based on knowledge resources relatedness and complementarity theory. For this purpose, this study examines complementarity patterns of knowledge resources and their impacts on acquirer's performance using M&A announcements of electronic commerce industry from 2001 to 2007. The results of this study indicate complementarity among knowledge resources are positively related with acquirer's market value. This study contributes to expand knowledge management research by identifying the relationship among knowledge resources and their impacts on firm performance.

• International Journal of Quality Innovation
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• 제4권1호
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• pp.40-45
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• 2003

A new term Data Technology (DT) is defined, and its roles in modern technology are explained. Next, knowledge-based Six Sigma (KBSS) is proposed, and how the methodologies how it can be implemented in industry are suggested. Also the relationship between DT and KBSS Is commented.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2001년도 춘계학술대회:발표자료
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• pp.411-430
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• 2001

This Paper analyses characteristics of the numerical controller industry in market formation and the flow of information between users and producers and the characteristic of knowledge base of the industry and discusses the difficulties derived, from the characteristics, in accumulation of technological capability In market formation between users and producers, the multi-layered market is not favorable to domestic producers in that lower end market is not large enough to provide cradle market to them which produce inferior quality and lower price than imported products. The credibility of the performance of a product is difficult to prove until a critical mass of products are sold. Therefore gaining market share is deterred by unproven credibility of the performance of the product. The flow of information between users and producers is limited. The flow of information on users environment through mass market to producers is essential for improving credibility of a product. The nature of knowledge base is tacit and the means of knowledge transmission is limited. Technological licensing and reverse engineering, which have been conventional means of knowledge transmission, are not useful in the numerical controller industry. These characteristics provide conditions of vicious circle in accumulation of technological capability of the numerical controller industry. It is conjectured that these characteristics are derived from the fact that the numerical controller is the result of IT based technological convergence in controlling machining process. This paper argues that these characteristics of the industry challenges existing approach to R&D management and framework of science and technology Policy.