• Title/Summary/Keyword: Support Policies on Technological Innovation

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Government Policies and Measures in Supporting Technological Capability Development of Latecomer Firms: A Tentative Taxonomy

  • Intarakumnerd, P.;Virasa, T.
    • Journal of Technology Innovation
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    • v.12 no.2
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    • pp.1-19
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    • 2004
  • This paper focuses on the significant issues of technological capability development of latecomer firms, and government policies enabling such firms to attain certain level of technological capability. The survey and case studies of manufacturing firms in Thailand were conducted to substantiate and investigate the process of technological capability development of latecomer firms. The analysis portrays a dynamic view of technological capability development that comprises three key elements namely strategic capability, internal capability, and external linkage capability. The paper, subsequently, discusses and suggests a tentative taxonomy of government policies and measures to support firms' technological capability development.

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Evaluating Innovation Policies in Australian Government: BACKING AUSTRALIA'S ABILITY

  • Moon, Yong-Eun;Yoon, Jo-Seph
    • 한국디지털정책학회:학술대회논문집
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    • 2003.12a
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    • pp.101-114
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    • 2003
  • In industrialised countries, innovation is a key source of economic growth. Research is a key driver of technological innovation and involves the process of systematic investigation and/or experimentation to discover new knowledge. The Governments' industry innovation policy supports a business focus on Research and Development (R&D) through a range of programs in order to achieve these aims. The Innovation Statement, launched by the Australian Prime Minister in January 2001, commits an additional $3 billion over five years to encourage and support innovation. The Australian Government aims to build world competitive firms and strong research capability in industry to strengthen Australia's international competitiveness and increase national prosperity. It develops policies and programs to enhance investment in innovation. The Australian Government also undertakes analysis and comparisons of innovation policies, instruments and approaches to maintain a leading-edge National Innovation System. This includes analysis of the innovation activities of other nations, and evaluation of the impacts of innovation policies and programs on Australia's institutions and enterprises. This paper examines Australia's Innovation policies, Backing Australian Ability.

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Evaluating Innovation Policies in Australian Government: Backing Australia's Ability

  • Moon, Yong-Eun;Yoon, Joseph
    • Journal of Digital Convergence
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    • v.1 no.1
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    • pp.31-44
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    • 2003
  • In industrialised countries, innovation is a key source of economic growth. Research is a key driver of technological innovation and involves the process of systematic investigation and/or experimentation to discover new knowledge. The Governments' industry innovation policy supports a business focus on Research and Development (R&D) through a range of programs in order to achieve these aims. The Innovation Statement, launched by the Australian Prime Minister in January 2001, commits an additional 53 billion over five years to encourage and support innovation. The Australian Government aims to build world competitive firms and strong research capability in industry to strengthen Australia's international competitiveness and increase national prosperity. It develops policies and programs to enhance investment in innovation. The Australian Government also undertakes analysis and comparisons of innovation policies, instruments and approaches to maintain a leading-edge National Innovation System. This includes analysis of the innovation activities of other nations, and evaluation of the impacts of innovation policies and programs on Australia's institutions and enterprises. This paper examines Australia's Innovation policies, Backing Australian Ability.

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The Impact of COVID-19 Financial Support Policy and Entrepreneurship on Technological Innovation of SMEs : A Comparative Study on the Introduction of Smart Work (COVID-19 재정지원정책과 기업가정신이 중소기업혁신에 미치는 영향 : 스마트워크 도입 유무에 따른 비교 연구)

  • Jeon, Young-jun
    • Journal of Venture Innovation
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    • v.5 no.4
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    • pp.157-178
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    • 2022
  • The economy has deteriorated worldwide due to COVID-19, and the domestic economy has also been hit hard. Accordingly, the government implemented unprecedented financial support policies related to COVID-19 to solve the financial difficulties experienced by SMEs. In addition, as the spread of COVID-19 continued, the government implemented guidelines and measures along with recommendations for non-face-to-face contact. Organizations in the public and private sectors have introduced non-face-to-face work methods. Considering this situation, this study investigated the impact of COVID-19-related financial support policies on technological innovation of SMEs. External support is important for corporate innovation, but internal capabilities are also important. Therefore, the effect of entrepreneurship on product innovation was identified. In addition, as the non-face-to-face work method was activated, the effect of smart work was identified by comparing companies that introduced smart work and companies that did not. As a result of the analysis, entrepreneurship showed a positive (+) effect regardless of the introduction of smart work. Financial support policies related to COVID-19 were found to show mixed results according to the type of support.

An Empirical Study on the Relationship between Barriers and Policy Measures in Technological Innovation (기술혁신 장애요인이 지원제도 활용에 미치는 영향에 관한 실증연구)

  • Shin, Hyun-Woo
    • Journal of Technology Innovation
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    • v.17 no.2
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    • pp.81-107
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    • 2009
  • The Korean government provides a variety of supporting programs with firms to promote technological innovation which is a main driver of economic growth. The existing literature on technological innovation has mainly focused on analysis about determinants of successful innovation and effectiveness of a specific policy measure. However, there is no study deals with characteristics of policy demanders. For this, this study investigates the relationship between barriers and policy measures in technological innovation using the logistic regression analysis method with raw data of Korean Innovation Survey (KIS). The findings from this analysis show that barriers of technological innovation are meaningful variables to determining whether firms adopt a policy measure, although there are some differences according to policy types. Cost barriers increased the probability that firms adopt support programs regardless of policy types. Also, the more firms encounter cooperation barriers, the more likely firms utilize supporting programs in regard to technological advice and information.

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A Study on the Relationship between R&D Information Support Programs and SME Performances: With Focus on ICT SMEs (중소기업 R&D 정보 지원과 성과의 관계에 대한 연구: ICT 기업을 중심으로)

  • Jun, Seung-pyo;Sung, Tae-Eung;Seo, Ju Hwan
    • Journal of Korea Technology Innovation Society
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    • v.19 no.1
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    • pp.48-79
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    • 2016
  • Recently, to overcome the global economic recession and stimulate the sluggish economy, Korea government has adopted various policies designed to strengthen the innovative capabilities of its small or medium sized enterprises (SMEs). With our focus on ICT technology companies, this study empirically analyzes both the potentials and the limitations of the R&D information support programs which are part of these governmental efforts. Our goal is to generate insights and help develop policies based on evidence. In this study, we used statistics from 2014 on small or medium business technologies to analyze the effect that the government's R&D information support policy has had on the technological or economic performance of small or medium businesses. According to these research results, R&D support programs (assistance with R&D planning and provision of technological information) made available to small or medium businesses did have a significant correlation to technological investment. By contrast, R&D information supporting programs were found to have no direct, significant correlation to technological or economic performance. One exception was that programs that gained the benefits of R&D planning support did have a significant correlation to technological performance in the case of companies engaged in ICT research. The results of this study will provide various insights for policymakers designing policies to support technologically-driven small or medium businesses, including ICT-based companies. We anticipate that this study will be a particularly helpful guide to policy development for corporations or researchers that provide supportive information to small or medium businesses.

Analysis of the Open Source Software Sector in China

  • Wu Qiong;Klincewicz Krzysztof;Miyazaki Kmiko
    • Journal of Technology Innovation
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    • v.14 no.2
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    • pp.117-141
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    • 2006
  • The paper describes the status and context of the Chinese Open Source Software (OSS) industry and ecosystem based on the analysis of the components of the China OSS Promotion Union. The analysis involves comparisons of several main Chinese developers of Linux operating system and makers of open source counterpart of the popular Microsoft Office package as well as several main Chinese OSS communities. Comparisons concern the technological and business aspect. The findings reveal peculiarities of the divergence of innovative activities of Chinese companies, as well as indicate that the strong government support may at the same time limit the technology selection under rigid competition, especially as foreign open source companies are found to be more focused on hobbyist developers and are able to maintain larger independent communities. Implications of the paper include the need to coordinate global development efforts and adjust science & technology policies in order to stimulate both the development and the diffusion of open source among Chinese companies and individual hobbyists.

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A Study on the Effect of Technological Innovation Capability and Technology Commercialization Capability on Business Performance in SMEs of Korea (우리나라 중소기업의 기술혁신능력과 기술사업화능력이 경영성과에 미치는 영향연구)

  • Lee, Dongsuk;Chung, Lakchae
    • Korean small business review
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    • v.32 no.1
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    • pp.65-87
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    • 2010
  • With the advent of knowledge-based society, the revitalization of technological innovation type SMEs, termed "inno-biz" hereafter, has been globally recognized as a government policymakers' primary concern in strengthening national competitiveness, and much effort is being put into establishing polices of boosting the start-ups and innovation capability of SMEs. Especially, in that the inno-biz enables national economy to get vitalized by widening world markets with its superior technology, and thus, taking the initiative of extremely competitive world markets, its growth and development has greater significance. In the case of Korea, the government has been maintaining the policies since the late 1990s of stimulating the growth of SMEs as well as building various infrastructures to foster the start-ups of the SMEs such as venture businesses with high technology. In addition, since the enactment of "Innovation Promotion Law for SMEs" in 2001, the government has been accelerating the policies of prioritizing the growth and development of inno-biz. So, for the sound growth and development of Korean inno-biz, this paper intends to offer effective management strategies for SMEs and suggest proper policies for the government, by researching into the effect of technological innovation capability and technology commercialization capability as the primary business resources on business performance in Korean SMEs in the light of market information orientation. The research is carried out on Korean companies characterized as inno-biz. On the basis of OSLO manual and prior studies, the research categorizes their status. R&D capability, technology accumulation capability and technological innovation system are categorized into technological innovation capability; product development capability, manufacturing capability and marketing capability into technology commercialization capability; and increase in product competitiveness and merits for new technology and/or product development into business performance. Then the effect of each component on business performance is substantially analyzed. In addition, the mediation effect of technological innovation and technology commercialization capability on business performance is observed by the use of the market information orientation as a parameter. The following hypotheses are proposed. H1 : Technology innovation capability will positively influence business performance. H1-1 : R&D capability will positively influence product competitiveness. H1-2 : R&D capability will positively influence merits for new technology and/or product development into business performance. H1-3 : Technology accumulation capability will positively influence product competitiveness. H1-4 : Technology accumulation capability will positively influence merits for new technology and/or product development into business performance. H1-5 : Technological innovation system will positively influence product competitiveness. H1-6 : Technological innovation system will positively influence merits for new technology and/or product development into business performance. H2 : Technology commercializing capability will positively influence business performance. H2-1 : Product development capability will positively influence product competitiveness. H2-2 : Product development capability will positively influence merits for new technology and/or product development into business performance. H2-3 : Manufacturing capability will positively influence product competitiveness. H2-4 : Manufacturing capability will positively influence merits for new technology and/or product development into business performance. H2-5 : Marketing capability will positively influence product competitiveness. H2-6 : Marketing capability will positively influence merits for new technology and/or product development into business performance. H3 : Technology innovation capability will positively influence market information orientation. H3-1 : R&D capability will positively influence information generation. H3-2 : R&D capability will positively influence information diffusion. H3-3 : R&D capability will positively influence information response. H3-4 : Technology accumulation capability will positively influence information generation. H3-5 : Technology accumulation capability will positively influence information diffusion. H3-6 : Technology accumulation capability will positively influence information response. H3-7 : Technological innovation system will positively influence information generation. H3-8 : Technological innovation system will positively influence information diffusion. H3-9 : Technological innovation system will positively influence information response. H4 : Technology commercialization capability will positively influence market information orientation. H4-1 : Product development capability will positively influence information generation. H4-2 : Product development capability will positively influence information diffusion. H4-3 : Product development capability will positively influence information response. H4-4 : Manufacturing capability will positively influence information generation. H4-5 : Manufacturing capability will positively influence information diffusion. H4-6 : Manufacturing capability will positively influence information response. H4-7 : Marketing capability will positively influence information generation. H4-8 : Marketing capability will positively influence information diffusion. H4-9 : Marketing capability will positively influence information response. H5 : Market information orientation will positively influence business performance. H5-1 : Information generation will positively influence product competitiveness. H5-2 : Information generation will positively influence merits for new technology and/or product development into business performance. H5-3 : Information diffusion will positively influence product competitiveness. H5-4 : Information diffusion will positively influence merits for new technology and/or product development into business performance. H5-5 : Information response will positively influence product competitiveness. H5-6 : Information response will positively influence merits for new technology and/or product development into business performance. H6 : Market information orientation will mediate the relationship between technology innovation capability and business performance. H7 : Market information orientation will mediate the relationship between technology commercializing capability and business performance. The followings are the research results : First, as for the effect of technological innovation on business performance, the technology accumulation capability and technological innovating system have a positive effect on increase in product competitiveness and merits for new technology and/or product development, while R&D capability has little effect on business performance. Second, as for the effect of technology commercialization capability on business performance, the effect of manufacturing capability is relatively greater than that of merits for new technology and/or product development. Third, the mediation effect of market information orientation is identified to exist partially in information generation, information diffusion and information response. Judging from these results, the following analysis can be made : On Increase in product competitiveness, directly related to successful technology commercialization of technology, management capability including technological innovation system, manufacturing capability and marketing capability has a relatively strong effect. On merits for new technology and/or product development, on the other hand, capability in technological aspect including R&D capability, technology accumulation capability and product development capability has relatively strong effect. Besides, in the cast of market information orientation, the level of information diffusion within an organization plays and important role in new technology and/or product development. Also, for commercial success like increase in product competitiveness, the level of information response is primarily required. Accordingly, the following policies are suggested : First, as the effect of technological innovation capability and technology commercialization capability on business performance differs among SMEs; in order for SMEs to secure competitiveness, the government has to establish microscopic policies for SMEs which meet their needs and characteristics. Especially, the SMEs lacking in capital and labor are required to map out management strategies of focusing their resources primarily on their strengths. And the government needs to set up policies for SMEs, not from its macro-scaled standpoint, but from the selective and concentrative one that meets the needs and characteristics of respective SMEs. Second, systematic infrastructures are urgently required which lead technological success to commercial success. Namely, as technological merits at respective SME levels do not always guarantee commercial success, the government should make and effort to build systematic infrastructures including encouragement of M&A or technology trade, systematic support for protecting intellectual property, furtherance of business incubating and industrial clusters for strengthening academic-industrial network, and revitalization of technology financing, in order to make successful commercialization from technological success. Finally, the effort to innovate technology, R&D, for example, is essential to future national competitiveness, but its result is often prolonged. So the government needs continuous concern and funding for basic science, in order to maximize technological innovation capability. Indeed the government needs to examine continuously whether technological innovation capability or technological success leads satisfactorily to commercial success in market economic system. It is because, when the transition fails, it should be left to the government.

A Study on the Influence of the Government's Innovation Promotion Policy on the Innovation Performance of the Service Industry (정부의 혁신 촉진 정책이 서비스 산업의 기술 혁신 성과에 미치는 영향에 관한 연구)

  • Woo, Jihwan;Kim, YoungJun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.469-482
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    • 2019
  • This paper analyzes the effects of government support systems, regulation, and innovation promotion policy on technological innovation performance of companies in the service industry using 4,000 Korean service industry companies. Multiple and hierarchical multiple regression analysis were used to analyze the correlation between the individual factors and process innovation and product innovation. Government support, regulation and technology innovation in the service industry were tested. In addition, government innovation promotion policy includes government support and regulation and the technological innovation performance of service firms. As a result, the government support system affects both the process innovation and the product innovation performance in the service industry, but affects only the process innovation performance in the case of regulation. Innovation promotion policy was found to regulate the relationship between government support systems and regulation and innovation performance of the service industry. Therefore, these findings provide strategic implications for the management of enterprises in relation to government support systems and innovation policy. It is necessary to reorganize regulations that are outdated to improve the effect of innovation policies on innovation performance.

An Empirical Study of Profiling Model for the SMEs with High Demand for Standards Using Data Mining (데이터마이닝을 이용한 표준정책 수요 중소기업의 프로파일링 연구: R&D 동기와 사업화 지원 정책을 중심으로)

  • Jun, Seung-pyo;Jung, JaeOong;Choi, San
    • Journal of Korea Technology Innovation Society
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    • v.19 no.3
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    • pp.511-544
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    • 2016
  • Standards boost technological innovation by promoting information sharing, compatibility, stability and quality. Identifying groups of companies that particularly benefit from these functions of standards in their technological innovation and commercialization helps to customize planning and implementation of standards-related policies for demand groups. For this purpose, this study engages in profiling of SMEs whose R&D objective is to respond to standards as well as those who need to implement standards system for technological commercialization. Then it suggests a prediction model that can distinguish such companies from others. To this end, decision tree analysis is conducted for profiling of characteristics of subject SMEs through data mining. Subject SMEs include (1) those that engage in R&D to respond to standards (Group1) or (2) those in need of product standard or technological certification policies for commercialization purposes (Group 2). Then the study proposes a prediction model that can distinguish Groups 1 and 2 from others based on several variables by adopting discriminant analysis. The practicality of discriminant formula is statistically verified. The study suggests that Group 1 companies are distinguished in variables such as time spent on R&D planning, KoreanStandardIndustryClassification (KSIC) category, number of employees and novelty of technologies. Profiling result of Group 2 companies suggests that they are differentiated in variables such as KSIC category, major clients of the companies, time spent on R&D and ability to test and verify their technologies. The prediction model proposed herein is designed based on the outcomes of profiling and discriminant analysis. Its purpose is to serve in the planning or implementation processes of standards-related policies through providing objective information on companies in need of relevant support and thereby to enhance overall success rate of standards-related projects.