• Journal of Korea Technology Innovation Society
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• v.18 no.2
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• pp.292-317
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• 2015

As modern science and technology and warfare become to be advanced and precise, the weapon systems becomes more complex based on state-of-the-art technology. Therefore, firms in the defense industry continue to accelerate research and development for up-to-date weapon systems with high complexity which urge the firms to collaborate with the external organizations to obtain the knowledge required and eventually to reduce costs and risk. This study tries an empirical study about the effect of collaboration on the innovation performances from the network analysis perspective. By surveying collaboration relationships among 530 firms in the Korean defense industry, we analyzed the alliance network of the defense industry. Network centrality including degree, closeness, and betweenness centralities is investigated and then the relationship among the network centrality property, internal R&D capabilities and innovation is analysed. The results show that firms with high internal R&D capabilities place the firm at center of the network. On the other hand, except for the firms with highly connected centrality, no relationship was found between the internal R&D capabilities and its performance and in turn. these capabilities had both direct and indirect effects on innovation performances through mediated collaboration among firms. This study implied that Korean firms with a high internal R&D capabilities in the defense industry which utilize knowledge, information and resources within the network more frequently show more innovative performance. This result claims the policy makers to participate more firms in fostering open innovation for the defense industry.

• Journal of Korean Society for Quality Management
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• v.40 no.4
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• pp.631-640
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• 2012

Purpose: This empirical study is focused on the relationship between innovation capability (R&D and Human Resource innovation) and performance in knowledge-based service firms. Methods: We build research model to test how each of innovation capability on technology and human resource is influenced on their financial and non-financial performance in the knowledge-based service industries. Based on the previous research, we hypothesized the factors are regarded innovation capabilities of the firms as the scale of R&D and human resources. Because this study is especially targeted to the performance of knowledge-based service firms. With the survey on 424 main knowledge-based service firms, the multi-regression analysis was performed. Results: The result showed that the scale of R&D and human resources capabilities are main factors for knowledge-based service firms' performance, which reflects the current industrial structure. Conclusion: This study empirically demonstrated that human resources are most important to the growth of knowledge-based service firms.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2014.10a
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• pp.575-580
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• 2014

• Journal of Technology Innovation
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• v.30 no.4
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• pp.1-28
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• 2022

Arguably many studies point out that regional innovation capabilities are accepted as a major source of growth for the sustainable regional economy. Recently, a smart specialisation strategy that should reflect regional characteristics in the policy implementation process of the regional innovation system has been proposed, but empirical studies have only presented limited results. This study attempts to overcome limitations by approaching smart specialisation as a supplementary strategy for existing regional innovation research. To this end, smart specialisation was not an alternative strategy for the regional innovation system, but rather the institutional elements of regional innovation capabilities, and the relationship between regional innovation capabilities and the local economy was analyzed to identify the impact of smart specialisation on the local economy. A study was conducted through a panel model consisting of 16 cities and provinces in Korea and 10 years from 2009-2018, and the FGLS model was finally used through the process of searching for an appropriate panel model. As a result of the study, smart specialisation consisting of industry related variety and non-related variety had a positive effect on the local economy. In addition, other regional innovation capabilities measured by dividing them into base and facilitating factors also had a positive effect on the local economy, reaffirming the results of positive research between existing regional innovation and the local economy. This study is meaningful in that smart specialisation lacking in domestic research was viewed as an institutional element of regional innovation capabilities, and it was measured through regional industry-related variety and non-related variety.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.193-216
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• 2020

Due to the recent mid- to long-term slump and falling growth rates in the global economy, interest in organizational structures that create new products or services as a new alternative to survive and develop in an opaque environment both internally and externally, and enhance organizational sustainability through changes in production methods and business innovation is increasing day by day. In this atmosphere, we agree that the growth of small and medium-sized venture companies has a significant impact on the national economy, and various efforts are being made to enhance the technological innovation capabilities of the members so that these small and medium-sized venture companies can enhance and sustain their performance. The purpose of this study is also to investigate how the technological innovation capabilities of small and medium-sized venture companies correlate with the performance of knowledge management and to analyze the role of network capabilities to organize the strategic activities of enterprise to obtain the resources and organizational capabilities to be used for value creation from external networks. In other words, research was conducted on the impact of technological innovation capabilities of small and medium venture companies on knowledge management performance by using network capabilities as parameters. Therefore, in this study, we would like to verify the hypothesis that innovation capabilities will have a positive impact on knowledge management performance by using network capabilities of small and medium venture companies. Economic activities based on technological innovation capabilities should respond quickly to new changes in an environment where uncertainty has increased, and lead to macro-economic growth and development as well as overcoming long-term economic downturns so that they can become the nation's new growth engine as well as sustainable growth and survival of the organization. In addition, this study was conducted by setting the most important knowledge management performance within the organization as a dependent variable. As a result, R&D and learning capabilities among technological innovation capabilities have no impact on financial performance. In contrast, it was shown that corporate innovation activities have a positive impact on both financial and non-financial performance. The fact that non-financial factors such as quality and productivity improvement are identified in the management of small and medium-sized venture companies utilizing their technological innovation capabilities is contrary to a number of studies by those corporate innovation activities affect financial performance during prior research. The reason for this result is that research companies have been out of start-up companies for more than seven years, but sales are less than 10 billion won, and unlike start-up companies, R&D and learning capabilities have more positive effects on intangible non-financial performance than financial performance. Corporate innovation activities have been shown to have a positive (+) impact on both financial and non-financial performance, while R&D and learning capabilities have a positive (+) impact on financial performance by parameters of network capability. Corporate innovation activities have been shown to have no impact on both financial and non-financial performance, and R&D and learning capabilities have no impact on non-financial performance. It could be seen that the parameter effects of network competency are limited to when R&D and learning competencies are derived from quantitative financial performance. It could be seen that the parameter effects of network competency are limited to when R&D and learning competencies are derived from quantitative financial performance.

• Industry Promotion Research
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• v.8 no.1
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• pp.69-82
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• 2023

This study verified the effect of R&D capabilities and resource allocation capabilities on technology commercialization capabilities and the effect of technology commercialization capabilities on product performance. The effect of technology commercialization capability was verified by using commercialization speed, market scope, and technology breadth as variables. A survey was conducted for employees of SMEs companies, and the model and hypotheses of the study were verified using SPSS 25 and Smart PLS 3.0. It was confirmed that R&D capabilities and resource allocation capabilities had a significant effect on technology commercialization capabilities, and technology commercialization capabilities had a significant effect on the company's product performance. Through the results of this study, strengthening a company's R&D capabilities and resource distribution capabilities from a resource-based perspective expands technology commercialization capabilities such as commercialization speed, market scope, and technology breadth, and strengthening technology commercialization capabilities affects product performance of a company. It is meaningful in providing implications for the commercialization performance of companies by revealing the impact.

• Journal of Technology Innovation
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• v.13 no.2
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• pp.1-22
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• 2005

This paper adopts an embeddedness perspective and discusses rationales for government intervention in relation to economic development. Looking at East Asian experiences with industrial and technology policy the paper examines the general requirements, specific areas of focus and appropriate techniques for industrial and technology policy. Eight generic policy requirements are identified, viz. government capacity; monitoring and adjustment; policy sequencing; incremental upgrading; progressive market reliance; performance-orientation; selectivity; and flexibility.

• Journal of Korea Technology Innovation Society
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• v.6 no.4
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• pp.551-568
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• 2003

The aircraft industry is a typical complex product system (CoPS) and one of the system integration industries. In this particular sector, industrial competitiveness is decided by technological capabilities in system level as well as subsystem level. Korea has been involved in the aircraft industry since early 1970s. Technological capability in the system level has been developed based on military aircraft production program. However, subsystem and component level capabilities have been remained less developed. In this paper, the capability building process as well as current problem; of the Korean aircraft industry have been examined. In conclusion, capability building up strategies in the Korean aircraft industry has been suggested.

• Proceedings of the Technology Innovation Conference
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• 2004.02a
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• pp.202-221
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• 2004

Technology is the most important determination factor on firm`s competitiveness. It helps firms to secure sustainable competitive advantages. Therefore Korean electronics part firms have increased their R&D investment since the 1990s. But their R&D management capabilities seem to be low level. Empirical study was undertook to verify factors that effect on R&D performance with enhancing R&D management capabilities. To accomplish the purpose, data collected valid samples in Seoul and Kyunggi Province. Using SPSSWIN 10.0package, regression analysis was used to verify hypotheses. This study verify that important factors of 4th R&D generation effect on improving R&D performance. Therefore Korean electronics firms must learn advanced firms in developed countries. Based on learning and accumulating R&D management capabilities, Korean electronics part firms should establish their firm-specific R&D management model.

• Journal of Technology Innovation
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• v.14 no.2
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• pp.143-165
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• 2006

By analyzing five in-depth case studies of suppliers in newly emerging Vietnam's motorcycle industry, this paper explores the differences in patterns and processes of capability improvement of suppliers who participate in different kinds of supplier-assembler network with different structures. The paper finds the correlation between the kinds of suppliers' capabilities improved and the structure of networks they participate in. While suppliers in arm-length networks can improve more upstream capabilities (structure design, process desist), suppliers in embedded networks can improve more downstream capabilities (process design, process setup, process maintenance and delivery control). Two capability improvement patterns of firms in newly emerging economy are indicated. The first pattern is asymmetrical improvement, either upstream or downstream capabilities, by participating in either arm-length or embedded networks. This pattern obstructs the suppliers to meet the requirements of new buyers rho come from different kinds of network. The second pattern is symmetrical improvement by joining both arm-length and embedded networks.