• Title/Summary/Keyword: Innovation support policy

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Analysis of the Causal Structure Among Innovation Support Policy, Innovation and Performance: Focusing on Knowledge Service Firms (혁신 지원정책과 혁신 그리고 성과의 인과구조 분석: 지식서비스기업을 중심으로)

  • Baek, Sung-hyun
    • Journal of Korea Technology Innovation Society
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    • v.19 no.2
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    • pp.324-357
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    • 2016
  • As the transition to the knowledge-based economy has been accelerated in the 21st century, the importance of the service industry has been highlighted. As the proportion of knowledge service industry in the economy and the related employment rate are continuously growing, it is necessary to bring innovation to the industry in order to increase competitiveness. In this study, the innovation types are diversified into product, process, organization, and marketing and the influencing factors have been analyzed with knowledge service firms. The complex causal relationship that is linked to the innovation performance has been analyzed by the structural equation with each innovation types as the intervening variables. The results of this study can be summarized as follows. The innovation capacity of firms in knowledge service industry has very strong positive effects either directly or indirectly on product innovation, process innovation, organizational innovation, marketing innovation, and the revenue and employment of the firm. On the other hand, innovation support policy through government intervention produce negative impact on product innovation and they do not create meaningful impact on the total effect on the revenue nor the employment growth. The innovation should ultimately create effects on the revenue and the employment of the firm. And the government support policies should be carefully designed in consideration of the final destination point of this complex causal structure.

The Impact of Government Innovation Subsidies on the Survival of SMEs in Korea

  • Kim, Sangsin
    • STI Policy Review
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    • v.9 no.1
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    • pp.55-76
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    • 2018
  • This study analyzed the effect of the government R&D subsidy program on long-term firm survival. In order to estimate the average treatment effect for the treated group, we used the survival analysis and matching method by constituting a comprehensive dataset of more than 90,000 observations. The analysis results show that the government R&D subsidy has a negative impact on long-term firm survival. In particular, not only the subsidy does not have a statistically significant effect on firm survival in the relatively short-term, the survival probability of the subsidized firms is statistically significantly lower than the non-subsidized firms after six years. These results can be seen as weakening the justification of government R&D support. There may be problems in the subsidy policy itself and the process of selection of subsidy awardees; however, the more fundamental problem is that the subsidy policy is concluded as the one-time event. Admittedly, it would be difficult for the government to precisely manage the subsidized projects over a long term period. However, in the case of a project in which short-term performance is detected, it would be necessary to provide a step-by-step support to strengthen the firm's competitiveness through further support and continuous development of performance. Of course, mid- and long-term evaluations of subsidy support policy should be performed in parallel with such phased support.

Success Factors of Commercialization in IT Technology (정보통신 기술의 상용화 성공요인 분석)

  • Lee, Young-Duck
    • Journal of Technology Innovation
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    • v.12 no.3
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    • pp.259-276
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    • 2004
  • This paper identifies success factors influencing technology commercialization, develops a framework for technology commercialization model among factors, commercialization, empirically investigates the framework, and suggests policy alternatives for more effective technology commercialization in the areas of information and communication technology industries in Korea. To facilitate commercialization of government-sponsored R&D projects, the following policy implications are suggested; manager's willingness and support on commercialization, and more abundant commercialization fund, former experience on commercialization, strong linkage with present business and technology, more information about government commercialization programs and technologies, and improved environment of commercialization including market protection and penetration support.

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Innovation in Indian Industries: Insights from the First National Innovation Survey

  • Arora, Parveen;Nath, Pradosh
    • Asian Journal of Innovation and Policy
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    • v.4 no.3
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    • pp.360-380
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    • 2015
  • Technological innovations, as the key to building competitive advantage, need a comprehensive review to address the issues related to transformation of the Indian industries. The present paper reports the broad findings of the first National Innovation Survey undertaken by the Department of Science and Technology, Government of India. The findings presented here highlight the status of innovation related activities in different industrial sectors, its weaknesses, and areas requiring institutional interventions. The survey results underline the fact that the innovation activities in Indian industries are more for survival in a competitive market conditions than to create market advantage. A sort of disconnect between the innovation support system and the production system is a discernible fact that surfaces from the study. The study also indicates certain characteristics of the innovation behaviour of firms that brings out developing country issues of innovation.

Technology Innovation Activity and Innovation Performance in the Software Firms (소프트웨어 기업의 기술혁신 활동과 혁신 성과에 관한 연구)

  • Ahn, Yeon-S.
    • Journal of Information Technology Services
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    • v.8 no.2
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    • pp.71-87
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    • 2009
  • In this paper, the technology innovation for software firms are discussed. Through the literature study, the concepts about this issue and the environment and activity of software firm's the technology innovation related are described. The survey paper was developed for searching the obstacles, policy considerations, and performance of this issue etc. Also questionnaire sheet was made for identifying the relations on technology innovation activities and performance. The degree of understanding about the need of technology innovation were very high according to the analysis result from the response based on the 103 software firms. Among this survey the other results are described as follows; the motivation of technology innovation, the necessity and implementation, the duration acquired for innovation result, the favorite support program as for innovation policy, obstacles for innovation implementation, the reason for innovation collaboration etc. Finally, it is verified statistically that the performance of technology innovation be affected by the employment of external professional technician, research and development, the technical education.

Institutional Constraints to Innovation: Artisan Clusters in Rural India

  • Das, Keshab
    • Asian Journal of Innovation and Policy
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    • v.4 no.2
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    • pp.132-153
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    • 2015
  • Rural enterprise clusters in India have often been characterized by low-end products, poor income earning options and a near-absence of innovativeness. This has implied limited market access, inadequate organization of production and distancing from sources of formal knowledge. Policy neglect of rural industrialization notwithstanding this paper explores the nature of institutional constraints to innovation through intensive case studies of five rural artisan clusters (handlooms and handicrafts) in as many Indian states. Whether it relates to access to loan finance or technology support or linking to markets, the formal institutions (public or private) have been distanced by informality that typifies most rural enterprise clusters. An obsession with a sectoral approach to cluster development has negated addressing infirmities of the space of enterprise, even as scope for learning from some Asian economies in rural enterprise promotion exists. The paper also enquires if the innovation systems have been inclusive and pro-poor.

A 'Mode 3' Science Policy Framework for South Korea - Toward a Responsible Innovation System

  • Kim, Gouk Tae
    • STI Policy Review
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    • v.8 no.2
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    • pp.23-48
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    • 2017
  • This article advocates for a Mode 3 science policy. Compared to the university research-based Mode 1 knowledge production system and the knowledge application-centric Mode 2 innovation system, Mode 3 can be defined as a system that integrates both Mode 1 and Mode 2-type knowledge production models. In this article, based on the major characteristics of the Mode 3 scientific knowledge production system, I agree with the advocates of Mode 3 that constructing a knowledge society requires an inclusive form of knowledge production and innovation system through the democratization of knowledge production as well as the promotion of social values. Moreover, the mechanisms for creating accountable innovation in the Mode 3 system should be given more attention from the science research and policy communities to make public policy for scientific and technological innovation more reflective of social changes. Similar to the ways that the Mode 1 and Mode 2 scientific knowledge production approaches have influenced the development of science policy models, the Mode 3 scientific knowledge production approach, or Mode 3 science, also has the potential to shape a new science policy model. I will refer to this as Mode 3 science policy. In an effort to conceptualize the democracy- and society-centric Mode 3 science policy model, I will articulate science policy strategies in four science policy domains in South Korea from the context of the Mode 3 science approach. These include (1) evaluation of publicly-funded research activities, (2) valorization of scientific knowledge (that is, enhancement of the value of scientific knowledge through governmental action), (3) development of a science policy decision-making support system, and (4) anticipatory foresight of science, technology and society. When adopting and implementing a Mode 3 science framework, one progressive change is to increase socially desirable innovation such as responsible innovation.

Japanese Policy and Programs for the Fostering of Global Entrepreneurs

  • Kim, Eunyoung
    • STI Policy Review
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    • v.7 no.1
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    • pp.40-65
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    • 2016
  • Knowledge plays a more important role in promoting entrepreneurship in the current information-led society than it did during the age of industrialization. Many recent studies found that entrepreneurship stimulates and generates innovation and economic growth. In response to the issues of long-term low growth, the Japanese government implemented several policies to encourage universities initiate entrepreneurial activities. This paper examines Japanese policies since 2014 that support universities in providing various programs for developing global entrepreneurs. Thirteen academic institutes were beneficiaries of three-year funding since the fiscal year of 2014. Each university designed its own educational programs according to their own contexts, built various forms of innovation ecosystems with domestic as well as international partner organizations, and offered entrepreneurship training courses or innovation workshops for companies to sustain its programs through broadening their funding bases. Due to the interdisciplinary nature and short history in operating the programs so far, it is difficult to evaluate the effectiveness of the programs. However, each participating university accumulated knowledge and experience while carrying out their various programs, suggesting important new directions for policymakers and education program designers in facilitating entrepreneurship and innovation.

The Accumulation Process of Basic Research Capability in Korea : Case Study on ERC/SRC (한국의 기초연구능력 구축과정 : 우수연구센터(ERC/SRC) 제도를 중심으로)

  • 황혜란;윤정로
    • Journal of Korea Technology Innovation Society
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    • v.6 no.1
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    • pp.1-19
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    • 2003
  • The mechanism of knowledge production in the basic science has been changed throughout the development process in Korea. During the 1970s, the focus resides in the support of individual scientists while it concentrated on the support of research organization, centered on center of excellence from the 1980s. The change in the sup-porting mechanism to basic science result in the transformation of knowledge production system in the university and impact on the behavior of individual scientists. This paper focuses on the co-evolution process between newly adopted supporting program for basic science and the knowledge production system via the case study of representative program of center of excellence supporting program in Korea.

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지역별 기술혁신정책의 패턴과 과제 -지방정부 및 중앙정부 예산투입을 중심으로

  • 이공래;이정협
    • Journal of Technology Innovation
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    • v.11 no.1
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    • pp.99-123
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    • 2003
  • This study aims to explore the patterns of various innovation policies pursued by local governments in Korea. We surveyed and analyzed 16 regions at the county level and 7 ministries at the central government. It was found from the analysis that there are 719 policy programs having been enacted including some overlaps among 16 regions. 3,369 billion won in total were spent on the policy programs in 2002, of which 36.7 percent was contributed by the central government, 46.4 percent by local governments and remaining 16.8 percent by private partners who may have benefits from the policy programs. It was discovered that support programs for basic research and applied research activities were rare having small budget size, due to the lack of the importance of R&D activities in regional development and budget constraint of local governments. Technology sharing policies, particularly networks and technology transfer are the most underdeveloped one among types of innovation policies. Based upon the results of our analysis, we recommend that budget allocation, associated with science and technology, to local governments should be increased so that they can expand the support scale of existing program: as well as design new types of innovation policies.

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