• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.427-434
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• 2018

As noted by Pavitt (1984) and Malerbar (2002), previous studies have focused on identifying differences in industry characteristics between the machinery industry and other manufacturing industries. This study considered quantitative and qualitative aspects of performance of product innovation in analyzing what factors determine those outcomes. In particular, this study examined stepwise selection processes embedded in innovation activities by applying a hurdle negative binomial model as well as the Heckman two-step selection model. Results show that factors affecting performance improvement and patents differ, and the threshold effect and the intensity effect of innovation were also distinguished. These results imply that the R&D capability should be enhanced and external innovation is required to be effectively embodied in the organization. Furthermore, motivating employees plays a pivotal role in this technology and skill-intensive sector.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.9
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• pp.3223-3231
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• 2010

For a long time, most of advanced countries have supported the innovative firms with various support methods such as tax credit, subsidy, human resource education, and so on. Tax credit for innovation is the most popular industrial policy in these countries including Korea. However, in Korea, the effect of tax credit policy has been rarely analyzed. On the other hand, a considerable number of studies discover that tax credit policy in other countries influences positively on invest of R&D expenditure. This paper shows that tax credit policy positively influences on firm's innovation performances in Korea. The evaluated innovative effect of tax credit policy in this paper is more persuasive because it introduces various innovation performance variables including patent application with Propensity score matching method(PSM).

• Journal of the Korean Geographical Society
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• v.40 no.6 s.111
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• pp.653-670
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• 2005

The purpose of this study is to explore a spatial agglomeration characteristics and innovative milieu of the shoemaking industry in Seoul. In order to explain it, currently discussed dynamic agglomeration economies approach is applied and as an example, shoemaking industry in Seoul has been analyzed. The result of this research can be boardly summarized into two points. Frist, agglomeration economy is changing from urbanization economy to localization economy in this newly rising core of shoemaking industry which is Sung-Su dong area. Also, cooperative effects based on collective efficiency between companies and people are being generated within the area. This is largely affected by networking infrastructure between companies and people within the area, non-trade dependency and social capital acclamation. Secondly, the lack of institutional agglomeration formation in this area is considered to be the obstacle for the long-term development and innovation spin-off. This means recognition switch-over and institutional concern and support is needed in the future from the public sector.

• Smart Media Journal
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• v.8 no.3
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• pp.95-103
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• 2019

The global manufacturing industry has reached the limit to growth due to a long-term recession, the rise of labor cost and raw material. As a solution to these difficulties, we promote the 4th Industry Revolution based on ICT and sensor technology. Following this trend, this paper proposes the design of a model using manufacturing data in the protection film process for smart manufacturing innovation. In the protective film process, the manufacturing data of temperature, pressure, humidity, and motion and thermal image are acquired by various sensors for the raw material blending, stirring, extrusion, and inspection processes. While the acquired manufacturing data is stored in mass storage, A.I. platform provides time-series image analysis and its visualization.

• KDI Journal of Economic Policy
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• v.20 no.1_2
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• pp.231-290
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• 1998

본고에서는 한 국가가 요소부존도의 독특성을 상실함으로써 교역조건의 악화 및 후생손실을 겪을 수 있다는 '헥셔올린 구축가설'을 이론적 토대로 지난 20년간 우리나라 제조업의 구조변화를 분석함으로써 당면하고 있는 구조적인 문제점이 무엇인가를 살펴보려 하였다. 그 결과 그간 중고등교육 노동력의 급속한 양적 팽창에도 불구하고 이러한 요소를 집약적으로 사용하는 부문(전기 전자, 기계 등 일본가 같은 선진국과 경쟁관계에 있는 부문)의 비교우위 획득속도가 매우 더디었을 뿐 아니라, 이 부문의 상대가격이 중장기적으로 하락하여온 것으로 나타났다. 이러한 현상이 요소부존도의 독특성 상실에 기인하는 한 이는 헥셔올린 구축가설과 일맥상통한다고 볼 수 있다. 또한 비숙련산업(섬유 의류 등)은 중국 및 동남아의 등장 이후 비교우위를 급속히 상실하고 있는 것으로 나타났다. 하지만 이 부문에서 수입물가대비 수출물가가 오히려 지속적으로 상승한 것은 헥셔올린 구축가설이 의미하는 것과는 정반대의 현상이라고 할 수 있겠다. 종합적으로 반숙련 및 숙련(화학 등)산업에서의 상대가격 및 교역조건(수출물가/수입물가) 하락현상이 두드러져 제조업 전체로는 80년대 후반 이후 교역조건 악화현상이 일어났다고 판단된다. 교역조건의 악화현상은 우리가 만든 물건을 값싸게 수출하고 값비싼 물건을 수입하여야 한다는 점에서 후생의 손실을 의미한다. 동태적으로도 반숙련 및 숙련산업에서의 상대가격 및 교역조건 악화는 중등 및 고등교육인력의 상대임금을 하락시켜 인적자본의 축적을 저해하는 방향으로 작용할 것이다. 이러한 현상이 일어난 원인이 본고에서 주장한 바와 같이 요소부존도의 독특성 상실에 있다면 이에 대한 대책은 차별화 및 혁신능력을 보유한 양질의 인력양성과 같은 것이 될 것이다. 그러나 본고가 물적자본이나 기술과 같은 요소들을 고려하지 못한 한 구체적 정책적 함의의 도출에는 보다 신중을 기해야 할 것이다.

• KDI Journal of Economic Policy
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• v.35 no.2
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• pp.41-70
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• 2013

In this paper, we analyzed whether there exists positive relation between firm's global activity and various innovation output and, if it exists, what are the major factors by which innovation outputs can be generated, focusing on the different degree of global activity. We found that for foreign MNC affiliates, their superior information access to existing knowledge is much more important and for non-MNC exporters and domestic MNC parents not only access to existing knowledge but also active investment in new knowledge is important. When we analyze the product and the process innovation separately, we found that for the process innovation information flows from existing knowledge is relatively more important while for product innovation investment in new knowledge and information flows from existing knowledge are almost equally important. Thus in Korea policies that promote both direct R&D activities and information flows should be pursued at the same time to enhance firms' innovativeness.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.818-837
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• 2018

Technological innovation has inherent difficulties, largely due to the uncertainties of technology. Thus, the forecasting methodology to reduce the risk of uncertainty in the innovation process has been presented both in quantitative and qualitative fields. On the other hand, big data and artificial intelligence have attracted great interest recently, and deep learning, which is one of the algorithms of AlphaGo, is showing excellent performance. In this study, deep learning methodology was applied to the prediction of innovation performance. To make the prediction model, we used KIS 2016 data. The input factors were importance of information source and innovation objectives and the output factor was innovation performance index, which was calculated for this study. As a result of the analysis, it can be confirmed that the accuracy of prediction is improved compared with the previous studies. As learning progressed, the degree of freedom of prediction also improved.

• Journal of Korea Technology Innovation Society
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• v.16 no.4
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• pp.1006-1031
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• 2013

This study investigates the extent to which product innovation is associated with firm performance, and how this effect is moderated by other type of innovation efforts. Empirical analysis is conducted (1) to determine the effect of product innovation on firm performance; (2) to explore the moderating effect that process innovation, organizational innovation and marketing innovation activities each has on the relationship between product innovation and firm performance. The analytical sample comprises a total of 816 Korean manufacturing firms from the 2010 KIS (Korean Innovation Survey) data and merged with financial data from KIS Info for acquiring the objectivity. The results show that product innovation is positively associated with a firm performance. Product innovation when combined with higher levels of process, organizational and marketing innovation activities resulted in higher firm performance. The results suggest that product innovation is a decisive factor of firm performance. More importantly, process, organizational and marketing innovation activities support product innovation and thus impact firm performance indirectly. In addition, this study examines the effect of innovation activities on firm performance by different firm size and R&D intensity, thereby further improving the details of this study.

• Journal of Technology Innovation
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• v.12 no.1
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• pp.1-24
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• 2004

This paper analyses the effects of R＆D investment on patent in Korean manufacturing firms during the period 1984-99. The data contains 140 companies which listed in Korea Stock Exchange(KSE). We observed that the relative shares of R＆D investments and patent applications are much higher in scientific firms than in the other firms. The regression results show that R＆D investment has significantly positive effects on the growth of patent application and registration. And the effects of R＆D on patent turns out to be stronger in scientific firms than the other firms. The firm size and the capital intensity also have an important effect on the propensity to patent.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.326-333
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• 2002

인터넷 산업의 활성화에 따라 어떠한 새로운 인터넷 기업이 새로운 전략으로 시장을 신속히 잠식해 가고 있고, 경쟁사가 e-business전략으로 시장 점유율을 얼마나 높여가고 있는지가 경영자의 주된 관심사가 되었다. 이에 본 논문은 기업이 정보통신 기술과 인터넷을 이용하여 기업의 자윈 경영방식 프로세스를 혁신하고 변화시킴으로써 갖게 되는 효과를 분석하는 체계를 제시한다. 대제효과 분석 체계는 업종별 특성 및 전사적인 측정을 위하여 핵심 업무 프로세스를 기반으로 도출된 대표지표 효과지표, 측정지표로 구성된 대제효과 지표체계로 구성된다. 또한, 도출된 대제효과 분석체계를 검증하고, 실제 산업에서 나타나고 있는 효과를 분석하기 위하여 국내 유통업과 제조업의 대표적인 기업을 선정하여 사례조사를 실시하였다.