• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.185-195
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• 2020

This study is intended to determine that there is a casual relationship between technological innovation capability and new product development performance in small and mid-sized venture companies, and that the introduction of collaboration as a means to step up technological innovation capability will improve new product development performance. To achieve this, a survey was carried out to employees who are engaged in R&D work for small and mid-sized venture companies based in Korea, and the results were analyzed by regression analysis. The findings showed that technology strategy, technology learning and open innovation belonging to technological innovation capability in small and mid-sized venture companies had an effect on new product development performance. In other words, the selection of collaboration as a wider array of core strategies on new product development performance showed that collaboration was a strategy affecting new product development performance. In addition, the moderating role of technological innovation capability in boosting new product development performance through the introduction of collaboration showed that common collaboration had a positive effect on stepping up technology strategy, and collaboration as a core strategy had a positive effect on the size of new product development performance by strengthening technology strategy and open innovation.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.703-722
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• 2022

The concentration of local businesses in the capital region promotes a decrease in the local population and polarization between the capital region and non-capital regions. It affects the competitiveness of local industries and creates a vicious cycle throughout the local economy, society and culture. Therefore, this study classified the companies in the capital region and non-capital regions by group and examined the effect of the innovation capability factors of companies on the creation of business performance. We analyzed the effects of R&D capabilities, which are elements of innovation capability, and open innovation and convergence capabilities on business performance. Smart PLS 3.0 was used for analysis including direct and indirect mediating and moderating effects, multi-group analysis, and structural equation model analysis. As a result, R&D capability did not have a significant effect on business performance, but it has a positive influence towards business performance through convergence capability and open innovation. However, the effectiveness of open innovation in non-capital regions and convergence capabilities in capital region were not statistically significant. In particular, in terms of open innovation, as the difference between groups is statistically clear, follow-up measures are suggested especially in non-capital regions.

• Journal of Korea Technology Innovation Society
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• v.18 no.1
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• pp.1-27
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• 2015

Korea has increased R&D investment continuously for the improvement of global technological competencies. Korea ranked first in the world with 4.15 percent in the ratio of R&D investment to GDP. In particular, the private sector occupies a crucial position of technological innovations in Korea, constituting 78.5% of total R&D investment. However, quantitative growth strategy is no longer effective, so efforts to enhance efficiency by upgrading qualitative level are badly needed. This paper studied methods for improving firms' business performance. For this, it tried to empirically verify technology strategy and technology planning capability's influence factors on the improvement of business performance. The study showed that technology strategy and technology planning activities have positive effects on the improvement of business performance. And it was revealed that coordination flexibility contributes to the enhancement of business performance by positively controlling technology planning activities. The study performed sample survey on the companies with R&D centers and multiple regression analysis and quantile regression were used for the analysis.

• Journal of the Korea Safety Management & Science
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• v.11 no.1
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• pp.103-113
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• 2009

Motorola which had developed and commercialized wireless telephone and mobile phone for the first time in the world made a decision on the separation of the mobile unit from the Motorola due to the continuous bad performance turn. In addition, the Korean company named Raincom which had developed and commercialized MP3 player have been disappeared since Raincom failed to compete with iPod of Apples. What is the main cause the companies that have been top of the world level weed out of IT product market? For less product life cycle and globalization of market, the company's competitiveness tends to be determined based on company's creative capability, rather than process implementation capability. Thus, companies spent a great amount of time and effort in the introduction of creativity management and R&D activities. However, as company's continuous investment on R&D and innovation activities did not lead to business performance, they starts to pay much attention on the effective R&D and innovation activities. Therefore, this paper tries to solve the limitation of the effectiveness of R&D activities by introducing the concept of 'creative quality'. The creative quality is executed by the creative process, which is designed for getting over the limitation of the traditional brainstorming method. This paper presents the concept so called 'creative quality management' and expects it to be an alternative to conquest the limitation of six sigma management.

• Journal of Technology Innovation
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• v.30 no.2
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• pp.29-58
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• 2022

Startups lack resources and manpower to build internal capabilities to strengthen market competitiveness; external cooperation such as joint research and networking plays is important. In this study, we analyzed the effect of startups' industry-university cooperation on organizational learning capability and innovation performance. Empirical results demonstrate the mechanism by which government R&D investment strengthens organizational learning capability and creates innovative results by promoting cooperation between startups and universities. First, industry-university cooperation strengthened organizational learning capability. An empirical analysis shows that startups increase internal capabilities through external cooperation. Second, startups' organizational learning capability had a significant effect on innovation performance. We analyze how organizations with high learning capabilities positively develop corporate innovation performance by having a culture of discovery and sharing new ideas. Finally, industry-university cooperation had different effects on organizational learning capability and innovation performance according to the previous experiences of startup founders. In particular, small- and medium-sized (startup) businesses and individual-based experience groups positively affected the creation of organizational learning capabilities and innovation performance through industry-university cooperation. Small- and medium-sized businesses and individual founders have a relatively small cooperative network with the outside world compared to founders of large companies, universities, and research institutes; therefore, they strengthen organizational learning capabilities through cooperation with universities. This study demonstrates that government should create policy inducements for cooperation with universities to maximize the R&D performance of startups. Criticism exists that lending support to startups and universities will hinder innovation performance; nevertheless, government investment plays a role in expanding intangible resources such as accumulating technologies, fostering high-quality human resources, and strengthening innovation networks. Therefore, the government should appropriately utilize the its authority to strengthen investment strategies for startup growth.

• 한국디지털정책학회:학술대회논문집
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• 2004.11a
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• pp.145-168
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• 2004

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 (DISR 2000, 20010, launched by the Australian Prime Minister in January 2001, commits an additional $3 billion overfive 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 has established a number of R&D funding support programs aimed at increasing the level of R&D in Australia. The backbone of these programs is the tax concession program, which is made up of the 125 per cent R&D tax concession, the 175 per cent premium tax concession and the tax offset. Over 4000 businesses take advantage of the tax concession scheme, which costs the government around $400-million a year. This cost is expected to rise to over half a billion by 2005-06 (Commonwealth of Australia, 2003). Ensuring these resources are invested where they provide significant national economic benefits is a major policy issue. In this sense, this paper looks at the appropriateness, effectiveness and efficiency of the R&D tax concession with costs and benefits analysis.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1661-1663
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• 2007

The contrast of display is one of the important specifications. Even if the contrast indicates luminance range which is a capability of the display and is greater in lower luminance or higher luminance, we consider that the greater contrast gets not the better performance. It is not the same value in human visual system. In practice, it is difficult to achieve the full dynamic range seen by human beings using electronic equipment. Therefore, we consider ambient condition and human perception to calculate perceptual contrast using the CIECAM02. In this paper, we propose perceptual contrast that is calculated using the brightness of CIECAM02.

• The Journal of Information Systems
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• v.13 no.1
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• pp.135-159
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• 2004

In industrialised countries, innovation is a key source of economic growth. Rrsearch 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 (DISR 2000, 20010, launched by the Australian Prime MinisterJanuary 2001, commits an additional ${\$}$3 billion over five years to encourage and support innovation. The Australian Government aims toworld 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 has established a number of R&D funding support programs aimed at increasing the level of R&D in Australia. The backbone of these programs is the tax concession program, which is made up of the 125 per cent R&D tax concession, the 175 per cent premium tax concession and the tax offset. Over 4000 businesses take advantage of the tax concession scheme, which costs the government around ${\$}$400mi11ion a year. This cost is expected to rise to over hall a billion by 2005-06 (commonwealth or Australia, 2003). Ensuring these resources are invested where they provide significant national economic benefits is a major policy issue. In this sense, this paper looks at the appropriateness, effectiveness and efficiency of the R&D tax concession with costs and benefits analysis.

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.95-118
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• 2004

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 (DISR 2000, 20010, 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 has established a number of R&D funding support programs aimed at increasing the level of R&D in Australia. The backbone of these programs is the tax concession program, which is made up of the 125 per cent R&D tax concession, the 175 per cent premium tax concession and the tax offset. Over 4000 businesses take advantage of the tax concession scheme, which costs the government around $400?million a year. This cost is expected to rise to over half a billion by 2005-06 (Commonwealth of Australia, 2003). Ensuring these resources are invested where they provide significant national economic benefits is a major policy issue. In this sense, this paper looks at the appropriateness, effectiveness and efficiency of the R&D tax concession with costs and benefits analysis.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.1
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• pp.49-61
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• 2017

This paper proposes an R&D project selection methodology for green technology centered on developing country-oriented technology commercialization. Eight selection criteria are derived from the R&BD logic model : technology needs of developing countries, effectiveness of green technology, technological potentials, domestic technological capability, commercialization feasibility, economic benefits, business feasibility, and spillover effects of developing countries. 21 qualitative and quantitative indicators are then defined for each criterion. The analytic hierarchy process is conducted to produce relative importance of evaluation indicators and to set final priority scores of R&D project candidates. The working of the proposed methodology is provided with the help of a case study example of Green Technology Center. The proposed methodology is expected to be effectively utilized for policy practices of R&D project selection in the field of green technology.