• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.4
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• pp.167-178
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• 2016

This study was carried out for two purposes. One is to analyse the relationship between export performance and the five capabilities of R&D intensive firms (new product development, overseas market information, SNS and communications, brand and marketing). The second purpose is to verify the difference in those capabilities between R&D intensive small companies and mid-sized companies. Based on the OECD's classification of "technology intensity", R&D intensive firms are defined as the firms which are investing more than 5% of their annual sales in R&D activities. This study reveals the significant and positive relationships between the export performance and three capabilities( overseas market information, SNS and communication, brand) except for new product development capabilities and marketing capabilities. Those capabilities increase export performance. On the other hand, this study finds a significant difference in overseas market information capabilities and brand competence between R & D-intensive SMEs and mid sized companies. It is shown that those two capabilities in the mid sized firms are stronger than in the SMEs. These findings have important implications for the growth of R&D intensive SMEs in the global market. First, for higher export performance of R&D intensive firms, three capabilities such as overseas market information, SNS-communication and brand should be strengtened. In particular, SNS-communication capabilities as innovative marketing competences should be developed together with traditional marketing capabilities. Second, the growth of SMEs into Mid-sized firms needs the development of brand competences and overseas market information capabilities.

• Knowledge Management Research
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• v.22 no.4
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• pp.173-187
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• 2021

In that economic growth strategy through maximizing input would not working anymore in the rapidly changing economic environment, now we should focus on the improvement of firms' efficiency. This study estimate the efficiency and determinants of the efficiency using the panel data of 938 Korean manufacturing firms which ranked in high R&D investment firms during 2005~2018. We found that both R&D intensity as R&D input and patent stock as R&D output increase the efficiency of firms independently. And firm size, debt ratio, profitability also affect the firm's efficiency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.63-76
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• 2016

Most previous studies found a positive relationship between the value of a firm and its R&D investments. This research measures the impact of the timescale of the R&D investment of a firm on its value using panel vector autoregression. By measuring the time required for R&D to impact the value of a firm, this study demonstrates that the lead time is an essential factor in the analysis of the effect of R&D investment on a firm's value. Our study finds that the length of the lead time varies according to the firm's size, industry concentration, and book to market ratio. Firms with a higher industry concentration show a shorter lead time. Also, firms with a larger size and higher book to market ratio generally show a shorter lead time.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1366-1385
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• 2018

Recently, government policy focuses on R&D subsidies for venture firms in the early and medium stage. However, due to the 'asymmetric information' on those firms, a concern about the possibility of adverse selection of government policy, that is, whether the R&D subsidies are offered to the less-growth potential venture firms is on the rise. Therefore, based on the "2015 venture firm's survey" data in Korea, we compared the managerial efficiency of venture firms in manufacturing sectors by dividing them into beneficiary and non-beneficiary groups at government R&D subsidies. We found that the beneficiary groups showed lower managerial efficiency than non-beneficiary groups, even if they are superior to non-beneficiary groups in technological performance. We also observed that the phenomenon involve 'low managerial efficiency in the beneficiary groups' is more relevant in mid-high tech. manufacturing sectors. Our findings provide an exploratory empirical evidence of the concern about adverse selection in the selection of R&D subsidies beneficiary groups. Therefore, the government should consider managerial performance as the key criteria for selecting R&D subsidies beneficiary groups, rather than depending on technological performance solely. Furthermore, the government should develop other complementary policies to support financial performance of the groups. Lastly, the government should make those policies attract venture firms with potential to achieve financial performance.

• Journal of Technology Innovation
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• v.27 no.3
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• pp.27-52
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• 2019

This research studied the determinants of private R&D investment by examining the innovation strategies of 481 small and medium enterprises (SMEs, their employee size is 5 or more and less than 300) in Busan, South Korea. The data is derived from the Technology Survey of Small and Medium Enterprises in 2001 and 2003. Three explanatory variables for the innovation strategies are the R&D portfolio, the organization (personnel) for R&D, and the strategic role of CEO for innovation. The technological levels of industries are controlled in the linear regression model. The dependent variable is the total private R&D investment of a firm in the given fiscal year. The empirical results indicate that the private R&D investment positively correlates with the complexity of the R&D portfolio, the formal organization for R&D team, and the increase of R&D personnel. The formal organization for R&D team and the number of R&D personnel are correlated with the increase of private R&D investment across the four groups in the manufacturing sector but not in the service sector. These findings suggest that the innovation policy needs to target firms who have complex R&D portfolios, the formal organization of R&D teams, and sufficient R&D personnel in order to increase the private R&D investment of SMEs in regions, with consideration of industrial characteristics.

• Journal of Technology Innovation
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• v.20 no.1
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• pp.115-140
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• 2012

From a point of knowledge based view, IUI(Industry-University-Institute) R&D collaboration is recognized as an important way to acquire lacking technology and knowledge. In this study, we investigated firm performance of IUI R&D collaboration on national R&D project. That is, we identified whether a collaborative research really affects firm performance, and whether firm performance is differed by types of collaboration. To test our hypotheses, we selected 250 Korean SMEs(Small and Medium Enterprises) which were funded from government R&D for 2006-2009, and we verified relations between the ratio and/or types of R&D collaboration and firm performance. Firm performance was measured by number of patent applied and ROA(Return on Assets) after completion of the project (in year t+1). Findings showed that the relationship between the ratio of R&D collaboration and technological performance was inverted U-shape. Among types of R&D collaboration, though inter-industry collaborative research was negatively related to technological performance, IUI collaborative research was positively related to technological performance. However, the ratio and types of R&D collaboration had no relation to economic performance. The results of this study will contribute to the strategy of SMEs as well as the policy of a government with regard to IUI R&D collaboration.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1474-1492
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• 2018

This study empirically analyzes the direct effects of government support for SMEs (project success) and indirect effects (sales growth) focusing on the differences between financially difficult firms (so-called 'zombie' firms) and 'normal' firms. If the zombie firm has a problem in technology development (success of the project) and the economic resilience capability (sales growth), then excluding them from the government's R&D support programs would enhance the overall efficiency of the programs. If not, government R&D could complement the market failure and play a positive role in revitalizing marginal firms. In this study, we collected data about 7,575 firms who participated in seven government R&D programs in 2013 and 2014. As a result of the logistic regression analysis, we did not find evidence that the likelihood of success for zombie firms was lower than that for the normal firms. However, the tendency of sales growth after the project was smaller for the zombie firms than for the normal firms. For zombie firms, we also found that firms that succeeded in the project were more likely to increase sales than those that failed.

• Journal of Technology Innovation
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• v.19 no.2
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• pp.53-76
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• 2011

This study analysed empirically the relationship between the CT R&D subsidy program and R&D performance of received company. According to the result, the CT R&D subsidy program is a significant factor to encourage R&D performance. Especially, the CT R&D subsidy program based on validity and reasonable system affects significantly the progress of R&D performance. Otherwise, the reasonable CT R&D subsidy program has a important role to play on company growing from a step of R&D to a step of the commercialisation performance. Thus, government should make an effort on researching data on market demand before implementing policy and communicating with company continually.

• Journal of Technology Innovation
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• v.20 no.3
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• pp.29-55
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• 2012

In order to successfully adopt and implement the Balanced Scorecard(BSC), firms need to respond adequately to the rapid changes of today's business environment and consider the growing importance of non financial factors in the business activities such as intangible assets(R&D expenditure, patent, goodwill, etc.). Our primary focus throughout this paper is on developing Key Performance Index(KPI) of BSC for R&D expenditure activities. In this study, we have developed and named PEI(Patent Efficiency Index),which is the KPI for R&D expenditure by focusing on the efficiency of a patent that is the output from the R&D expenditures. Secondarily, we have attempted to address the solution for the current problems of the traditional R&D performance measurement by using our developed PEI and examine the usefulness and effectiveness of the newly developed our PEI. According to the empirical test results, we find that the PEI is positively associated with ROA and Tobin's Q, respectively and show that our developed PEI is more effective and accurate than the traditional R&D performance measurement as a business performance measurement. Furthermore, these findings proves that we can measure and evaluate how efficiently the firms perform the R&D activities and shows that the PEI can be a critical index for evaluating firm's business performance related to the R&D expenditures.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.1
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• pp.79-92
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• 2022

This paper investigates the effects of R&D capability, manufacturing capability, understanding of the Biz model on performance of Korean start-up companies, especially the moderating effects of manufacturing capability and understanding of the Biz model. We analysis 1103 Korean start-up companies based on "2019 Survey of Korea Venture Firms" As a result, the manufacturing capability and employee's unnderstanding the Biz-model have the positive relationship with company performance. Especially, we found that 'employee's unnderstanding the Biz-model' moderates the relationship between R&D capability & performance positively.