• Knowledge Management Research
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• v.11 no.2
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• pp.111-131
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• 2010

The purpose of this study is to categorize group of firms by using characteristics of technical innovation in telecommunication industry and to identify relationships between types of technical innovation and such contingency factors of technical innovation. The major findings of this study are summarized as follows; First, Type 1 Group (Innovative Industry Leading Group) tends to use innovative and market differentiation strategy and has more innovative C.E.O's management style and innovative culture. Second, Type 2 Group (Dependent Group on Market Change) tends to use market differentiation or cost leadership strategy and has a more conservative C.E.O's management style and non-innovative culture. Third, Type 3 Group (Small Technology Intensive Group) tends to use focused innovative strategy and has a more innovative C.E.O's management style and innovative culture. Fourth, Type 4 Group (Non-Innovative Group) tends to use focused cost leadership strategy and has a more conservative C.E.O's management style and non-innovative culture.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.195-217
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• 2003

Since the early 1990s, cluster-based policies have been celebrated as the basis of successful regional industrial and technological development strategy by encouraging regional innovation and technological spillover. Most recently, the Korean government has also begun to seek to initiate some strategies for promoting industry clusters. However, it is problematic that the cluster policies still focus on attracting related firms and establishing supporting agencies and physical infrastructures rather than improving social and institutional dimensions for cluster development such as social capital, networks, social learning capabilities, the governance of regional innovation. In this paper we attempt to elucidate social and institutional dimensions for cluster development and suggest some policy agenda to promote innovative cluster.

• Journal of Science and Technology Studies
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• v.6 no.2 s.12
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• pp.1-44
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• 2006

This paper aims to analyse post catch-up innovation activities of Korean firms. Traditional approach focused on incremental innovation through fast catch-up process. Recently, Korean firms present new patterns of innovation activities. It includes the development of state-of-the-art frontier products in capital intensive manufacturing sector, the achievement of architectural innovation through adopting newly developed components and the creation of new market based on the basic technological capabilities. This paper attempts to formulate conceptual framework for analysing post catch-up innovation activities and to analyse stylized facts of post catch-up activities based on the case studies on technology based small and medium Korean firms.

• Asia pacific journal of information systems
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• v.31 no.3
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• pp.358-377
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• 2021

Knowledge drives business innovation. However, even if companies have the same knowledge element in the business ecosystem, innovation performance varies depending on the structural position of the technical knowledge network. This study investigated whether there is a difference in exploitative innovation according to the structural position of the AI technical knowledge network. We collected patents from the top 100 digital companies registered with the US Patent Office from 2015 to 2019 and classified the companies into knowledge producer-based brokers, knowledge absorber-based brokers, knowledge absorbers, and knowledge producers from the perspective of knowledge creation and flow. The analysis results are as follows. First, a few of the top 100 digital companies disseminate, absorb, and mediate knowledge, while the majority do not. Second, exploitative innovation is the largest, in the order of knowledge producer, knowledge absorber-based broker, knowledge absorber, and knowledge producer-based broker. Finally, patents for industrial intelligence occupy a large proportion, and knowledge producers are leading exploitative innovation. Therefore, latecomers need to expand their resources and capabilities by citing patents owned by leading companies and converge with existing industries into AI-based industries.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.73-83
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• 2021

Due to the rapid development of technology compared to the past, it is becoming difficult for companies to survive in a fiercely competitive environment if they do not innovate. In order for a company to carry out innovative activities, it is very important to find new knowledge, digest it, and secure its own technological capabilities. In this study, the causal relationship between exploration and exploitation activities, technology innovation capacity, innovation performance(technical performance, product performance), absorptive capacity, and innovation performance was identified. As a result of the analysis, exploration and exploitation activities were found to affect technology innovation capacity, and technology innovation capacity, absorptive capacity, and innovation strength were found to affect innovation performance. In addition, it was found that absorptive capacity and innovation strength play a mediating role between technology innovation capacity and innovation performance. The results of this study are expected to be useful as guidelines when planning or carrying out innovation activities in companies.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.151-159
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• 2023

In the digital age, innovation is at the heart of information technology development. This paper explores the differences of regional innovation capabilities from within the innovation system from a new perspective. By applying the coupling coordination degree model, the coupling coordination degree analysis is conducted for the three systems of innovation (innovation input, innovation output, and innovation environment) in 31 provinces, municipalities, and autonomous regions of China. The results show that: the overall level of coupling coordination degree in China is low, and the number of provinces in good coordination and quality coordination is low number, but they are all distributed in the eastern economically developed regions, showing a high correlation between regional innovation and regional economic development. The overall trend of China's innovation coordination is on the rise. The research results of this paper can provide a new perspective for the evaluation of innovation capability, and also provide an important impact of innovation on promoting the development of ICT industry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.39-49
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• 2019

The government is actively implementing a start-up infrastructure and start-up support policy for successful start-up companies. However, the actual success rate of start-up companies is not high. In order to improve the performance of a start-up company, it is necessary to have a strategy that has the right entrepreneurship and efficiently utilizes its resources. In particular, opportunity exploration, resource acquisition and resource reorganization are dynamic capabilities that are very necessary for the growth of a start-up company. Therefore, the purpose of this study is to verify the effects and relationships of entrepreneurship and dynamic competence of business startups on management performance. For this study, a survey was conducted on CEOs of start-up companies less than seven years old, and 361 final samples were used to analyze data. The results of this study are as follows. The innovation, risk-taking and initiative of entrepreneurship were found to have a positive effect on dynamic capabilities. Second, the innovation and risk-taking of entrepreneurship had a significant positive effect on management performance, but initiative was found to have no significant effect. Third, it was found that dynamic capabilities had a significant positive effect on management performance. Lastly, the verification of the mediated effect of dynamic capabilities showed that there was a mediated effect between initiative and management performance. In other words, this study found a significant research result that effective management of the resources of a start-up company had an effect on management performance and growth when forwardness did not directly affect management performance. This suggests that dynamic capabilities are an important factor in the management performance of start-up companies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.4
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• pp.79-89
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• 2016

FDI has been considered as a source of competitive advantage by bringing scientific and technological innovation capabilities to domestic firms via organizational learning. Acquiring knowledge and technology by learning accelerates firms to be innovative. In the way of innovation, firms seek for innovation as a whole but innovation can be clarified as two different parts, product and process innovation. Different from product and process innovation, organizational innovation is not directly related to productivity or outcome but it is closely related to product and process innovations. As a kind of firm innovation, organizational innovation may be considered as preceding product and process innovation and it may positively mediate the relationship between in-bound FDI and firms' product and process innovations. In this paper, the relationship between FDI and product and process innovation will be explained by organizational learning and the way of organizational innovation affects to the relationship will be examined.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.35-46
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• 2017

This study analyzed the role of innovation intermediaries on the performance of technology-based firms in Korea. Technology-based firms are important to the economy because they contribute to regional economic development and national competitiveness. In Korea, various types of intermediaries, such as Techno-parks and incubators have been established to foster technology-based firms. Researchers analyzed various factors influencing the performance of technology-based firms. On the other hand, there have been few studies on the relationship between the innovation intermediaries and the performance of technology-based firms in Korea. This study identified the firms' capabilities, institutional and environmental factors in the light of the literature. A total of 2,313 technology-based firms in Techno-parks, business incubator of public institutes and universities were surveyed. Of these, 110 respondents were used for empirical analysis. OLS techniques were applied to analyze the data. The empirical results showed that the marketing competence, R&D capacity, which is a firms' innovation capacity, have a positive effect on the performance. The support of intermediaries positively affects the performance of technology-based firms. The economic aspects of regional innovation infrastructure, and cooperation with the customer has a positive effect on the performance of technology-based firms.

• Journal of Korea Technology Innovation Society
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• v.17 no.2
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• pp.380-420
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• 2014

We increasingly see the importance of employees acquiring enough expert capability or innovation capability to prepare for ever growing uncertainties in their operation domains. However, despite the above circumstances, there have not been an enough number of researches on how operational input components for employees' innovation outcome, innovation activities such as acquisition, exercise and promotion effort of employee's innovation capability, and their resulting innovation outcome interact with each other. This trend is believed to have been resulted because most of the current researches on innovation focus on the units of country, industry and corporate entity levels but not on an individual corporation's innovation input components, innovation outcome and innovation activities themselves. Therefore, this study intends to avoid the currently prevalent study frames and views on innovation and focus more on the strategic policies required for the enhancement of an organization's innovation capabilities by quantitatively analyzing employees' innovation outcomes and their most suggested relevant innovation activities. The research model that this study deploys offers both linear and structural model on the trio of learning, innovation capability and innovation outcome, and then suggests the 4 relevant hypotheses which are quantitatively tested and analyzed as follows: Hypothesis 1] The different levels of innovation capability produce different innovation outcomes (accepted, p-value = 0.000<0.05). Hypothesis 2] The different amounts of learning time produce different innovation capabilities (rejected, p-value = 0.199, 0.220>0.05). Hypothesis 3] The different amounts of learning time produce different innovation outcomes. (accepted, p-value = 0.000<0.05). Hypothesis 4] the innovation capability acts as a significant parameter in the relationship of the amount of learning time and innovation outcome (structural modeling test). This structural model after the t-tests on Hypotheses 1 through 4 proves that irregular on-the-job training and e-learning directly affects the learning time factor while job experience level, employment period and capability level measurement also directly impacts on the innovation capability factor. Also this hypothesis gets further supported by the fact that the patent time absolutely and directly affects the innovation capability factor rather than the learning time factor. Through the 4 hypotheses, this study proposes as measures to maximize an organization's innovation outcome. firstly, frequent irregular on-the-job training that is based on an e-learning system, secondly, efficient innovation management of employment period, job skill levels, etc through active sponsorship and energization community of practice (CoP) as a form of irregular learning, and thirdly a model of Yί=f(e, i, s, t, w)+${\varepsilon}$ as an innovation outcome function that is soundly based on a smart system of capability level measurement. The innovation outcome function is what this study considers the most appropriate and important reference model.