• Asia-Pacific Journal of Business
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• v.3 no.2
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• pp.42-48
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• 2012

This paper examined structural changes in export specialization of Japan, South Korea, Taiwan, and China at different levels of technological intensity. The study found significant differences across these Asian economies, with most pronounced changes for exports with high technological intensity. To account for the changing export specialization, the study applied the classical Ricardian model of comparative advantages to export patterns of Japan and South Korea. We found that the export specialization of Japan was mainly determined by differences in fixed effects across industrial sectors, with changes in relative labor productivity much less important. In contrast, changes in productivity turned out an essential factor for explaining the recent export specialization of South Korea.

• Asian Journal of Innovation and Policy
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• v.10 no.1
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• pp.90-107
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• 2021

This paper analyses how technological capabilities and entrepreneurship of technology-based start-ups affect their performance. In this paper, a multiple regression analysis was conducted on 248 technology-based start-ups. The effects of indicators of technological capacity like R&D intensity, R&D organization, technology competitiveness, patents, and certification were analyzed. Factors affecting sales were R&D intensity and technological competitiveness. Technology competitiveness and patents were the significant factors influencing product competitiveness. The factor that positively influenced organizational performance, customer performance, and achievement of start-up goals was technological competitiveness. The results of such an analysis should be designed to discover and foster long-term innovation potential, rather than relying on short-term financial performance.

• Journal of the Korea Society of Computer and Information
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• v.21 no.11
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• pp.151-158
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• 2016

This study analyzes the stock market reaction of disclosure of technological information using events which are collected in the Korean stock market for the thirteen-year period between January 2002 and December 2014. We find that abnormal return on the disclosure day of full sample firms is positive and statistically significant. However, abnormal return of high R&D intensity subsample is a larger positive number than that of the low one. Using a longer window, it shows that low R&D intensity negatively decreases the long term performance after the adoption of new technological information. The empirical evidence of the studying is expected to serve as a good judging guide-line for the investors.

• Journal of Korea Technology Innovation Society
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• v.9 no.1
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• pp.1-25
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• 2006

Technological innovation is being recognized as a core capability of competitive advantage for sustainable growth of a company. In this regard, lots of research activities have been conducted on technological innovation and performance at firm level. Ihis study empirically investigates those relationship with cross-sectional and time-series data according to firm-specific characteristics along industry. Patent intensity, R&D intensity, and intangible asset intensity smoothing by firm size are used as proxy measures for explanation of performance with net income per employee. As a result with 162 high-tech firms for 11 years, it was found that high performances were positively related to patent and R&D intensity. Also, firms classified into 8 categories based on firm-specific technological innovation characteristics show difference upon performances. To sum up, firms that have high patent and R&D intensity demonstrate high performance compared to other firms.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.4
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• pp.125-136
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• 2016

The external R&D, which includes the adoption of the external technology and knowledge in addition to the internal R&D, is one of important factors for the innovation. Especially for small and medium-sized enterprises (SMEs), the external R&D has been considered as a key factor to carry out the innovation more efficiently due to the limitations of their resources and capacities. However, most of extant studies related to external R&D have focused on analyzing the influence of external R&D on innovation outputs or outcomes. Only a few studies have explored the impact of external R&D on the innovation efficiency. This study therefore investigates whether the external R&D effects the industry's innovation efficiency and productivity. On this study, we used Korean manufacturing industry data of SMEs from 2012 to 2014 and employed a global Malmquist productivity analysis technique, which is based on the Data Envelopment Analysis (DEA), to assess the innovation efficiency and productivity. Innovation performances of external R&D group and internal R&D group are compared. Then, the sectoral patterns of both innovation efficiency and productivity are analyzed with respect to the technological intensity, which is introduced by OECD. The results show that the gap of innovation efficiency between external and internal R&D groups has gradually decreased because of the continuous improvement of the external R&D group's performance, while the external R&D group lag behind the internal R&D group. In addition, patterns of the innovation efficiency and productivity change were different depending on the technological intensity, which means that the higher the technological intensity, the greater the effect of external R&D.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.141-147
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• 2019

This paper analyzes the price movements and the possibility of delisting by research and development intensity of firm which made technological innovation disclosure in the Korean stock market. The sample consists of firms listed on the KRX which made technological information disclosure between January 2002 and December 2014. The results are summarized as follows. The higher R&D intensity is observed for the delisted firms group. The logit regression result shows that the research and development intensity is a significant predictor of the possibility of delisting. This shows that exposure to the risk of delisting may increase as the proportion and uncertainty of intangible assets in the assets of individual firms increases. This empirical result is expected to serve as a good guide line for the stakeholders.

• Journal of Technology Innovation
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• v.18 no.2
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• pp.33-58
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• 2010

This paper explores the patterns of technological innovation in Korean manufacturing sector in accordance with technology intensity which classifies industries into four sectors; high-technology, medium-high-technology, medium-low-technology and low-technology. Empirical study using Korea Innovation Survey(KIS 2008) data shows that the patterns of technological innovation in Korea exhibits the characteristics of science-based firm described by Pavitt across all industry sectors regardless of the level of technology. On the other hand, overseas studies have found the distinct differences between high-and low-technology sectors; the former is shaped by science-based firm and the latter by supplier-dominated firm. It implies that technological innovation activities in Korea do not reflect the level and/or nature of technology and innovation patterns conform to a single standard of high-technology sector. Further studies on causes and impacts of this inclination would be required for effective technology and innovation policy that fits with the level and/or nature of technology in individual industries.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.115-131
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• 2014

This study analyzed the impact of the investment of venture capital firms(VCFs) on the technological advancement of SMEs, which could be represented as the numerical increasement of patents. The results of this study are as follows: the higher proportion of VCFs' shares or the higher intensity of R&D, the more positive impact has been shown in the technological advancement of SMEs. Also, the joint investment of VCFs or the leading investors' stock acquirement had a positive impact on the technological improvement of them. Meanwhile, the meaningful relationships of company-size and the technical manpower with technological development were not identified although they were marginally positive. Those could be interpreted that the VCFs' supervision and control, including their managerial and technical advice, over invested companies display effectiveness for SMEs. It could also be interpreted that investors concentrate their investment on the relatively stable companies or the companies which other investors already finished screening.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.213-227
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• 2013

The purpose of this paper is to study the effects of SMEs' technological competitiveness and technology marketing on commercialization performance. For this, we conducted a survey targeting 204 people who are in charge of new product or technology development in SMEs which possess corporate R&D center authorized by the government on technological competitiveness, technology marketing and commercialization performance. The paper studied the effects of technological competitiveness on technology marketing and commercialization performance, technology marketing on commercialization performance. Empirical analysis shows follow results. First, technological competitiveness which includes technology innovation capability, technology commercialization capability and R&D intensity (investment on R&D personnel) have a positive effect on technology marketing. Second, technology commercialization capability have a positive effect on commercialization sales performance & commercialization non-sales performance, R&D intensity (investment on R&D physical) have a positive effect on commercialization non-sales performance. Third, high core technology and enabling technology on technology marketing result in better commercialization performance. As a result, technology-centered SMEs need to make continuous efforts to elevate technological competitiveness factors such as technology innovation capability, technology commercialization capability and R&D intensity.

• Knowledge Management Research
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• v.13 no.2
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• pp.73-93
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• 2012

Although a wide range of theoretical researches have emphasized on the importance of knowledge management in cooperative R&D network, the empirical researches to synthetically examine the role of organizational learning and open innovation which influence on the performance of technological innovation are not enough to meet academic and practical demands. This study is to investigate the effect of open innovation and organizational learning in venture business on technological competitive advantage and establish the mediating role of organizational learning. For the purpose, the questionnaires, made based on the reviewing previous researches, were collected from 274 Korean venture businesses whose managerial focus is on developing technological innovation. As a result of analysis, the relational dimensions of open innovation - network, intensity and trust shared by a firm with external R&D partners - as well as the internal organizational learning system and competence have positive influence on building technological competitive advantage whose sub-variables are technological excellence, market growth potential and business feasibility. In addition, it is identified that organizational learning has the mediating and moderating effect in the relationship between open innovation and technological competitive advantage. These results imply that open innovation complements and expend the range of limited resources and the scope of innovation in technology-intensive small and medium-sized enterprises. Besides, organizational learning activity reinforces the use of knowledge and resources, obtained from external R&D partners. On the basis of these results, detailed issues and discussion were made in the conclusion.