• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.1000-1023
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• 2011

The government adopts mainly three venture-supporting systems such as Venture Certification, InnoBiz Certification, and MainBiz Certification. This study compares the policy effects of productive aspects and technical inefficiency aspects of Venture Certification and InnoBiz Certification using the data on 'The 2010 Actual Conditions of Venture Enterprise.' With the estimation of production functions, it is found that only 'financing and ease of investment' produces a statistically significant effects on productivity. On the other hands, the other effects of 'the venture certification' do not produce positive effects. However, it is revealed that 'the venture certification policy' primarily reduces technical inefficiencies. The InnoBiz certification policy shows primarily insignificant effects in both sides of the production aspects and technical inefficiency aspects. However, the 'marketing ability effect' produces a positive effect on production and reduces the technical inefficiencies as well.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.257-267
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• 2022

The employment effect of innovation-certified SMEs (venture certification, inno-biz certification and main-biz certification) and general SMEs was compared and analyzed. Through propensity score matching, general SMEs with similar tendencies to SMEs for each innovation certification were selected. The employment effect was approached from two perspectives: the absolute employment effect, the employment growth rate, and the relative employment effect, the sales-employment coefficient. As a result of the analysis, it was confirmed that venture certified SMEs and inno-biz certified SMEs, which are technology innovation-type certifications, have an advantage in absolute employment effect. In addition, it was concluded that innovation-certified SMEs have more room for employment than general SMEs by achieving sales growth that exceeds employment growth. Therefore, there is a possibility to enhance the employment effect of innovation-certified SMEs by strengthening employment-related incentives for innovation-certified SMEs.

• Journal of Korea Technology Innovation Society
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• v.18 no.2
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• pp.358-386
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• 2015

The aim of this paper is to evaluate policy impact of Inno-biz verification and Venture verification, especially focusing on the complementarity effect according to the overlapped support in Korean ICT industry. Alongside the implementation of various government innovation policies, discussions regarding evaluations of such policies have been consistently undertaken in economics, because it is very important to evaluate whether public policies have played a proper role. However, one of the distinguished point of this research from previous studies is that this paper not only includes evaluations of a single policy, but also the discussion about interaction between different innovation policies. The main result of this paper is that, in the case of overlapping homogeneous policies such as Inno-biz and venture verification, the complementarity effect is negative. Compared with previous studies, the uniqueness of this research is as follows. First, deviating from the view of previous studies that focused on the evaluation of a single policy, this paper has considered interactions and the complementarity effect of innovation policy through "policy mix," an economic term. Second, based on this concept, the paper suggests an analysis framework for the evaluation of interactions and the complementarity effect of innovation policy.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.1212-1242
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• 2017

In this study, the effectiveness of the innovative company certification system, which is one of the important means of the SME innovation promotion policies, was examined in terms of technological innovation activity and performance. To this end, we used the results of 'SME Technology Statistical Survey' conducted by the Small and Medium Business Administration and the Korea Federation of Small and Medium Business in 2013~2015 to compare the innovative SMEs that have received the certifications such as Venture Certification, Innobiz Certification, and Mainbiz Certification with the general SMEs that did not. As a result, it was found that the innovative SMEs have comparative advantage in many detailed indicators related to the technological innovation activity and performance. However, the ratio of external use of R&D expenditure, the number of technology development attempts and the number of successes were not different according to the survey year, so it is necessary to strengthen the follow-up management of the system. On the other hand, the proportion of self-procurement R&D expenditure of the general SMEs was significantly higher than that of the innovative SMEs in all three-year surveys. Therefore, it is necessary to regulate the government funding for the innovative SMEs to be used as a complementary material, not as a substitute for their own R&D investment. In addition, the technological innovation activity and performance of a company were more influenced by the size of the company and the participating industry rather than by the certification, so it is necessary to consider it when establishing the technology innovation promotion policies.

• Journal of Technology Innovation
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• v.19 no.1
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• pp.111-144
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• 2011

This study is to confirm the core factors of innovative capabilities and technological entrepreneurship affecting the performance of technology management and business management of small and medium-sized enterprises (SMEs). Through the consideration about the complex natures of technological innovation affecting by multidimensional factors, this study designs the research model that innovative capabilities, the performances of technology and business management are arranged in accordance with the innovation process; input-output-outcome. To meet this research purpose, the hypothesis are set up based on the previous research studies and the research samples are selected from members of the Innovative Business (INNO-BIZ) Association, located in Seoul and Geyonggi province. As a result of regression analysis to the responses gathered from 360 firms, the performance of business management is influenced positively by the technology superiority, market growth and business profitability which are the dominant factors of performance of technology management. In addition, three sub-variables of innovative capabilities such as R&D, strategic planning and learning capability, have positive effects on both the managerial performances. Innovativeness and progressiveness of technological entrepreneurship affect both the performances positively. Moreover, the co-relation between technological entrepreneurship of an innovation leader and innovative capabilities of organizational members are identified. Lastly, technological entrepreneurship has the mediating effect on the path of leading innovative capabilities to the managerial performances. In conclusion, the research results imply that technological innovation-type firms should periodically evaluate the performance of technology management which are the output of technological innovations and the reinvestment for ultimate business success. And improving and developing innovative capabilities and technological entrepreneurship is required to continuously and consistently investing and supporting resources on technological innovations at the firm-and government-level. It is considered that these are the crucial methods for securing the technologically competitive advantage of SMEs with less resources and narrow innovation range.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.157-165
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• 2018

Companies conduct R&D for continuous development and enhancement of corporate value, and obtain patents as an intangible asset resulting from this process. This study screened 103 medical device firms whose R&D information, patent information, and management performance information were all published to determine how R&D activities and patents affect corporate operational performance. The number of patents, R&D costs, company type and Inno-Biz of the company were set as independent variables, and the companies' sales, intangible assets, operating profit ratios, net profit margins, corporate ratings and profit-related financial ratios were used as dependent variables. The results confirmed that R&D expenditure had negative (-) effects on most indicators, including sales volume, operating profit ratio, and net profit ratio, while it had positive (+) [ED highlight - these are unnecessary if negative and positive are also written out.] effects only on intangible assets. Additionally, domestic patents were found to have negative (-) effects on sales, cash flow ratings, and dropped capital return, and positive (+) effects on net profit growth. Moreover, the business performance variables affected by the company characteristics were sales volume and cash flow ratings. The medical device industry is dominated by small and medium-sized businesses Although research and development activities and patents have been shown to have a negative impact on corporate management in the short term, they are expected to have a positive long-term impact when reflecting the characteristics of the medical device industry that must undergo clinical trials and authorization procedures after R&D.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.159-173
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• 2017

In order to provide technical financial support to small and medium-sized venture companies based on technology, the government implemented the TCB evaluation, which is a kind of technology rating evaluation, from the Kibo and a qualified private TCB. In this paper, we briefly review the current state of TCB evaluation and available indicators related to technology evaluation accumulated in the Korea Credit Information Services (TDB), and then use indicators that have a significant effect on the technology rating score. Multiple regression techniques will be explored. And the relative importance and classification accuracy of the indicators were calculated by applying the key indicators as independent features applied to the generalized boosting model, which is a representative machine learning classifier, as the class influence and the fitness of each model. As a result of the analysis, it was analyzed that the relative importance between the two models was not significantly different. However, GBM model had more weight on the InnoBiz certification, R&D department, patent registration and venture confirmation indicators than regression model.