• 기술혁신연구
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• 제15권2호
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• pp.211-235
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• 2007

The paper establishes a policy classification system in order to classify and evaluate the science and technological innovation policies in Korea. We rebuild an innovation system model based on the national innovation system(NIS) concept. The model consists of human capital infrastructure(HCI), institutional infrastructure(II), technological infrastructure(TI), technology market(TM), industrial organization(IO), and innovation networks(IN). We give these 6 components of the modified system 1-digit number, respectively. Then we build the sub-systems according to these components, classify the policy categories in more detail, and finally complete the 3-digit policy classification table. This policy classification table may be useful in studying the science and technological innovation policy in both theoretical and empirical aspects. For example, the table can be the tool to examine the program portfolio profile(PPP) or to implement the questionary survey on the actual policies.

• International Journal of Contents
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• 제14권1호
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• pp.7-11
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• 2018

Digital technology has been changing everyday life of ordinary people let alone the structure of world industry. The elderly care service is also going through changes influenced by the unavoidable impact from torrents of digital technologies. There are numerous reports and news about the digital technologies increasing the efficiency and effectiveness of care service yet lacking systematic understanding of the sources of such improvement. This study aims to present a new classification framework for digital elderly care service innovation to fully utilize the power of digital technologies drawing on insights from innovation studies and service studies. First, 4 features of digital technologies are identified as sources of new value in service innovation. The co-creation of value by users and producers in service and technology development is discussed to illuminate users' contributions to service innovation. Communication of needs and ideas with producers and application of new technologies into everyday practice of life are identified as the source of new value which can be attributed to the elderly. Customization along with efficiency gains is the key to digital elderly care service innovation. The classification framework, thus, incorporates the needs of the elderly as one axis of criteria in the conventional technology-centered framework. The new classification framework would help give due weight to user-driven or demand-driven innovation in the elderly care service R&D activities.

• 기술혁신학회지
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• 제6권1호
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• pp.110-124
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• 2003

In this study, we establish technology classification system for twelve material and component(MC) areas to sup-port systematic information services for MCT-20l0 which is supported by Korean government. We propose some design principles for MC technology classification system. The principles are suggested by considering of the characteristics of MC classification, regarding with scope, originality, hierarchy, relationship between technology classification and product classification, duplication and complex structure, use of information system, and life cycle of the classification system.

• 사회복지연구
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• 제42권2호
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• pp.123-153
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• 2011

지금까지 사회복지조직의 혁신유형은 사회복지조직의 독특한 특성을 제대로 반영하지 못한 채, 영리분야에서 이루어져왔던 분류방식을 무비판적으로 받아들여온 경향이 크다. 이에 본 연구는 사회복지조직에 보다 적합한 혁신유형을 밝혀내고 실제 현장의 각 유형별 혁신수준을 살펴보고자 하였다. 이를 위해서 혁신개념과 접근방법에 대한 검토를 시작으로, 가장 일반적으로 활용되고 있는 영리조직 중심의 혁신유형은 물론 서비스업과 공공부문에서 진행된 바 있는 혁신과 관련된 여러 연구결과들을 검토하였다. 그리고 이를 통해서 사회복지조직에 적용가능한 유형분류를 제안하였다. 이 안을 토대로 조직의 혁신활동에 대해 묻는 15개의 설문항목이 마련되었고, 서울·인천·경기지역의 종합·노인·장애인복지관 316개소 중 116개 기관에 소속된 496명의 종사자로부터 활용가능한 응답지가 수집되었다. 이들의 응답결과는 기관별 평균값으로 전환된 이차 데이터에 대한 요인분석과 타당도 검증 등의 분석을 실시하여 실증되었다. 그 결과, 이론적 검토를 통해 제안된 서비스혁신, 운영관리혁신, 인적자원혁신의 세 가지 유형은 보다 세분되어 서비스혁신, 조직구조혁신, 내부절차·업무효율혁신, 마케팅·내부소통혁신, 외부관계·채용훈련혁신, 보상평가·미션비젼혁신의 여섯 가지 유형으로 정리되었다. 이 중에서 서비스혁신(평균=14.7회)과 마케팅·내부소통혁신(평균=13.3회)이 여타 혁신유형에 비하여 평균값이 높았는데, 이와 같은 내용은 사회복지조직에서 발생되는 혁신활동 양상을 파악하게 해주는 근거가 된다. 그리고 이러한 결과들로부터 사회복지조직의 혁신을 주제로 한 후속 연구의 방향성을 얻을 수 있었다.

• 경영과학
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• 제24권1호
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• pp.147-160
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• 2007

Six Sigma's concept has long been used as an effective way of restructuring the management process of a firm. In literature regarding Six Sigma, a number of successful cases were reported, where Six Sigma based management activities could enhance firm's strategic performance dramatically for year. However, there exist very few researches investigating the effect of Six Sigma on process innovation and quality improvement. Therefore this study propose a research model testing whether Six Sigma innovation could improve process innovation and quality improvement by industrial classification. We collected 332 valid questionnaires from expert in Six Sigma activities, and applied PLS. Empirical results showed that Six Sigma activities could contribute to process innovation and quality improvement.

• 지능정보연구
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• 제1권1호
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• pp.61-72
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• 1995

Dynamic and explicit ordering of strategies is a key process in modeling knowledge-level problem-solving behavior. This paper addressed the important problem of howl to make the scheduler more knowledge-intensive in a way that facilitates the acquisition, integration, and maintenance of the scheduler control knowledge. The solution a, pp.oach described in this paper involved formulating the scheduler task as a heuristic classification problem, and then implementing it as a classification expert system. By doing this, the wide spectrum of known methods of acquiring, refining, and maintaining the knowledge of a classification expert system are a, pp.icable to the scheduler control knowledge. One important innovation of this research is that of recursive heuristic classification : this paper demonstrates that it is possible to formulate and solve a key subcomponent of heuristic classification as heuristic classification problem. Another key innovation is the creation of a method of dynamic heuristic classification : the classification alternatives that are selected among are dynamically generated in real-time and then evidence is gathered for and aginst these alternatives. In contrast, the normal model of heuristic classification is that of structured selection between a set of preenumerated fixed alternatives.

• International Journal of Advanced Culture Technology
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• 제8권1호
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• pp.165-172
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• 2020

Industrial Revolution means the improvement of productivity through technological innovation and has been a driving force of the whole change of economic system and social structure as the characteristic of technology as the tool of this productivity has changed. Since the first industrial revolution of the 18th century, productivity efficiency has been advanced through three industrial revolutions so far, and this fourth industrial revolution is expected to bring about another revolution of production. In this study, the demand for the introduction of artificial intelligence(AI) technology has been increasing in various business fields due to the rapid development of ICT technology, and the classification of HS(harmonized commodity description and coding system) items has been decided using artificial intelligence technology, which is the core of the fourth industrial revolution. And it is enough to construct HS classification system based on AI technology using inference and deep learning. Performing the HS item classification is not an easy task. Implementation of item classification system using artificial intelligence technology to analyze information of HS item classification which is performed manually by the current person more accurately and without any mistake, And the customs administrations, customs offices, and customs agencies, it is expected to be highly utilized in the innovation of trade practice and the customs administration innovation FTA origin agent.

• 기술혁신학회지
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• 제6권2호
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• pp.265-277
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• 2003

The various technologies of the science and technology field were systematized to manage information, personnel and R&D activities related to S&T effectively. The resulting “National Standard Science and Technology Classification” which were composed of 19 areas, 160 divisions and 1,023 categories could contribute to establish rational S&T policy. “National Standard Science and Technology Classification” is synthetic in national level because they include all areas of S&T activities. 5 criteria, which were inclusiveness, exclusiveness, likeness, scale and universality, were used to exert every effort in including the opinion of all experts and to consider harmony between S&T areas. In addition, “National Standard Science and Technology Classification” was prepared to be interchangeable with various classification which were used in other R&D management institutes under the different ministries.

• Asian Journal of Innovation and Policy
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• 제8권1호
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• pp.73-96
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• 2019

This study suggests a new approach for identifying core robot tech-nologies based on technological cross-impact. Specifically, the approach applies data mining techniques and multi-criteria decision-making methods to the co-classification information of registered patents on the robots. First, a cross-impact matrix is constructed with the confidence values by applying association rule mining (ARM) to the co-classification information of patents. Analytic network process (ANP) is applied to the co-classification frequency matrix for deriving weights of each robot technology. Then, a technique for order performance by similarity to ideal solution (TOPSIS) is employed to the derived cross-impact matrix and weights for identifying core robot technologies from the overall cross-impact perspective. It is expected that the proposed approach could help robot technology managers to formulate strategy and policy for technology planning of robot area.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 1999년도 추계학술대회
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• pp.137-141
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• 1999