• Journal of Technology Innovation
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• v.21 no.2
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• pp.1-24
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• 2013

In spite of the increasing importance of service sector, most previous studies on schumpeterian hypotheses originated from manufacturing firms that have the needs to invest heavily in research and development (R&D). Conversely, we investigated the relationship between technological innovation activity and size of firms using panel data. Results of the analysis, the following results were obtained. First, the details depending on the industry sector was divided into active and vigorous industry technology innovation activities did not. Second, the relationship between firm size and technological innovation activity may not be, depending on the industry, some of the U-shaped model, may be. Third, showed fewer intangible assets, more debt, larger exports which further promote the technological innovation activities in industry. Finally, the relationship is responsive depend on the firm size variable.

• Information Systems Review
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• v.19 no.1
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• pp.169-183
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• 2017

As global competition is heating up and product life cycle has been rapidly shortened, each company pursues a variety of competitive technology innovations through different means of innovation. In this study, we assume that open innovation can be a shift motive of the technology innovation paradigm of small and medium enterprises (SMEs) being beyond the limitations of R&D within a company. We analyze the process and content of open innovation and performance. In addition, we identify the problems generated in the open innovation process and analyze the ways to strengthen open innovation. This study is based on the investigations into the technological competitiveness of local SMEs. The innovation ecosystem is analyzed from the perspective of product/service innovation, organizational innovation, and marketing innovation. Situational analysis is presented on the relationship between the innovation capabilities of information and communication technology SMEs and innovation performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.145-154
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• 2017

Technology innovation is regarded as the quintessential process to acquire a competitive advantage. This is especially true in high-tech industries, and firms that recognize the importance of technological innovation concentrate their capacities on developing new technologies, new products, and new processes. In general, such research requires many resources, but not all technological breakthroughs are followed by positive feedbacks. Consequently, the firms in high-tech industries are compelled to find new directions in acquiring technologies. This study examines the factors that influence technological innovation and empirically tests the effect these factors have on its diffusion. Radicality, discontinuity, and exploitation/exploration were selected as the factors from the previous literature on technological innovation and organizational learning. For the empirical test, patent data from the US semiconductor industry were used to describe innovation activities from various fields. From the result, these three factors (Ed- is this what you mean, i.e., radicality, discontinuity, and exploitation/exploration?)were found to have significant meaning as proxies for the diffusion of technological innovation.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2014.10a
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• pp.257-272
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• 2014

• Knowledge Management Research
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• v.24 no.4
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• pp.103-129
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• 2023

This study aims to analyze the network structure of technological innovation resources in SMEs, especially manufacturing firms, and reveal the differences between innovative and non-innovative firms. The study first analyzes connection centrality, flow-mediated centrality, and power centrality for all firms, and derives structural equivalence through CONCOR analysis. Then, the network structure of innovative and non-innovative firms was compared and analyzed according to innovation performance and creation. The results show that entrepreneurship and corporate innovation strategy have a significant impact on the analysis of technological innovation resources of all firms. According to the CONCOR analysis, the innovation resources of SMEs are organized into seven clusters, which can be defined as intrinsic product innovation resources, competitive advantage promotion resources, cooperative activities resources, information system resources, and innovation protection resources. The network analysis of innovative and non-innovative firms showed that innovative firms focused on enhancing competitiveness and improving quality, while non-innovative firms tended to focus more on existing products and customers. In addition, innovative firms had eight clusters, while non-innovative firms had six clusters, suggesting that innovative firms utilize resources diversely to pursue structural change and new value creation, while non-innovative firms operate technological innovation resources in a more stable form. This study emphasizes the importance of entrepreneurship and corporate innovation strategy in SMEs' technological innovation, and suggests that strong internal efforts are needed to increase innovativeness. These findings have important implications for strategy formulation and policy development for technological innovation in SMEs.

• Journal of Korea Technology Innovation Society
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• v.11 no.2
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• pp.194-218
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• 2008

The public-private partnership concept can encompass a broad range of cooperative relations and a broad variety of programmes in terns of size, objectives and design. This paper aims to analyze the components of public-private partnership mechanisms in the context of science and technology innovation policy. The research methodologies are based on semi-structured interviews with policy makers in four countries with six PPP programme : the France, the Netherlands, the Australia and Austria. It also attempts to understanding of the components that explain the increase of collaboration between national innovation system and PPPs. The taxonomy and essential components of PPPs were identified : mission-oriented PP/Ps, market-Oriented PP/Ps, cluster-oriented PP/Ps, and ISRs-Oriented PP/Ps. The taxonomy of regulatory regime can be a reference point for identifying the relative status of Korea's PPPs.

• Proceedings of the Technology Innovation Conference
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• 2009.02a
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• pp.155-155
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• 2009

개방형 혁신(Open Innovation)은 조직 내부에 국한되어 있던 기술개발 활동을 기업 외부까지 확장하여 외부 기술지식과 내부 기술력을 함께 활용하는 혁신성과 극대화 전략을 의미한다. 개방형 혁신은 기술개발의 성공률이 높고, 비용이 상대적으로 저렴하다는 장점을 갖고 있어 이에 근거한 기술중개서비스 전문기업들이 글로벌시장에서 활동하고 있다. 그 대표적인 사례가 나인시그마(NineSigma) 및 이노센티브(InnoCentive)이다. 그러나, 그러나 현재까지 이들 기업은 매출액 및 R&D 투자가 일정규모 이상인 글로벌 대기업을 대상으로 하고 있으며, 중소기업을 수혜자로 한 개방형 혁신 서비스는 충분히 제공되고 있지 않다. 본 연구에서는 부품 소재 중소기업을 주요 수요자로 한 개방형 혁신 기술중개서비스 모델을 제안하고 있다. 국내 부품 소재산업의 경쟁력 제고의 핵심 관건은 부품소재 중소기업의 기술혁신 역량 강화로 볼 수 있다. 본 연구에서는 개방형 혁신의 장점을 부품소재 중소기업에서 활용하기 위한 필요조건을 조사하고, 그에 근거하여 개방형 혁신 중개서비스 모델에 포함된 다양한 혁신주체들의 역할을 제안하였다. 본 연구의 세부 내용을 구조화하여 제시하면 다음과 같다. (1) 개방형 기술혁신체제의 정의와 동향 검토 (2) 국내외 개방형 기술혁신의 사례 조사 (3) 부품 소재기업 대상의 개방형 기술혁신체제 도입 필요성 타당성 검토 (4) 부품 소재산업 개방형 기술혁신 모델 개발 (5) 국내 부품 소재산업 발전을 위한 개방형 기술혁신 활성화 정책과제 검토

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.483-497
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• 2017

a본 논문에서는 과학기술정책연구원에서 조사한 2016년 한국기술혁신조사(KIS 2016) 데이터를 이용하여 한국 제조기업의 혁신성과에 영향을 미치는 혁신저해요인에 관한 분석을 진행하였다. KIS 2016 데이터의 제조업 기업 수는 4000개였는데 이 중 혁신 설문에서 제시한 혁신 저해요인 중 아무것도 겪지 않았다고 답한 기업과 응답이 누락된 기업을 제외한 3159개 기업의 데이터를 활용하여 분석을 진행하였으며, 분석 방법으로는 로지스틱 회귀모형을 사용하였다. 자료를 바탕으로 요인분석을 실시하였으며, 그에 따라 혁신 저해요인으로 자금 문제, 기업 역량 요인, 필요 요인 총 세 가지 요인이 추출되었다. 이를 바탕으로 로지스틱 회귀분석 결과 자금 문제와 기업 역량 요인의 경우 혁신 제품의 시장 출시에 정(+)의 영향을 미치는 것으로 나타났으며 필요 요인의 경우 음(-)의 영향을 미치는 것으로 나타나 기업의 혁신 성공에 있어서는 기술혁신의 필요성에 대한 인식 제고가 시급한 것으로 분석되었다.

• Information Systems Review
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• v.19 no.3
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• pp.127-154
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• 2017

This study aims to identify various service innovation patterns in the service industry and understand the main differences among them. We attempt to create a new typology of service innovation by analyzing its patterns based on the four major dimensions of service innovation (i.e., service concept, service delivery, customer interaction, and technology). We then investigate whether firms pursuing different service innovation patterns significantly differ from one another in terms of their performance (high and low performance). Based on empirical data collected from 198 Korean firms in the knowledge-intensive business service sector, four major clusters composed of different service innovation dimensions are identified. These four clusters can be interpreted as specific service innovation patterns, including "technology based high customer interaction," "high technology based high service delivery," "service delivery and high customer interaction-integrated," and "strongly balanced" innovators. High firm performance does not depend on the individual service innovation dimension but on the specific configurations of such service dimensions. Customer interaction also has an important role in achieving innovation success and improving firm performance, while technology has a key role in enhancing firm performance. This study sheds new light on service innovation research by developing a new typology of service innovation, identifying four major clusters as service innovation patterns, and exploring the relationship between service innovation patterns and firm performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.115-126
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• 2018

The purpose of this study is to examine the effects of the factors that hinder innovation of SMEs on innovation activities of Korean firms. Many existing literature studies remain focused on factors that promote innovation activities. However, in order for companies to promote innovation, it is important to analyze the factors that hinder innovation as well as those that promote innovation. In this study, we analyzed the relationship between technological innovation inhibition factors and technological innovation performance of 4,075 SMEs in Korea using the Korea Institute of Science and Technology Policy statistical data. The research model and hypothesis test of this study consist of three stages. First, the reliability of the variables used was verified using exploratory factor analysis. Second, the proposed hypothesis was modeled using structural equation modeling. Finally, validity of the structural equation was verified using confirmatory factor analysis. As a result, the lack of need for innovation influenced innovation performance and the government support system mediated them. SMEs should establish technological innovation strategies to maximize the effect of technological innovation with limited resources, and government should make polices to promote innovation of SMEs. It's expected to be used in the case of establishing a support policy.