This paper presents a framework for processing a structured approach of R&D investment. It presents nine steps to operate R&D investment from analysis of environment situation to review and feedback its activity. Also fundamental questions fur effective R&D management in business are discussed and after that critical eight success factors for R&D investment are discussed.
Purpose - Although models of innovation and exporting dominate recent studies of relations between innovation and access to foreign markets, relations between innovation and foreign direct investment (FDI) are less explored. This is especially true of relations between types of innovation and FDI. We fill that gap in the literature with empirical evidence that clarifies whether firms enter foreign markets through exports or FDI. Design/methodology - In order to assess the role of innovation in firms' international engagement strategies, we develop research hypotheses and present new empirical evidence on firms' choice of entry - exports and FDI - based on firm-level data. Findings - Our empirical results suggest that the impact of product innovation is more significant in transition from being a purely domestic firm to an exporter, while process innovation more significantly affect transition from being an exporter to a multinational enterprise. Our results also support 'self-selection into FDI' rather than 'learning-by-performing FDI' in the relationship between innovation and firms' overseas expansion. Originality/value - Recent literature on the relationship between innovation and firms' participation in foreign markets is dominated by models of innovation and export behavior. However, foreign direct investment by multinational enterprises may also be associated with firms' innovative activities. We first analyze how product and process innovations influence firms' choices to initiate exports or FDI.
Proceedings of the Korea Technology Innovation Society Conference
/
2001.11a
/
pp.307-337
/
2001
In this paper, we propose the valuation frame of the IT(Information Technology) ventures using ROV(Real Options Valuation) model. Generally, ROV can comprises the traditional valuation method such as DCF(Discounted Cash Flow), which can measure only the tangible value of a firm from the expected future earnings, in that ROV can additionally measure the intangible value such as the strategic value of a firm in the uncertain environment. We set up the hypothetic IT venture future investment plan and assume that there are a growth option and a switching option consequently along the investment time horizon, which are caused by each characteristics of ventures and IT technologies, especially modularity. In the case that there are several embedded real options in the firm's investment plan in a row, we should apply the compound option pricing model as a real option valuation model in order to consider the value interaction between real options. In an addition, we present the results of optimal investment timing analysis using real options approach and compare them. with those of the original assumed investment timing.
This paper suggests objective practical investment index for venture capital investment evaluation, deviating from investment behavior that relies on venture capitalist's intuition and experience. To deduct universally valid practical venture investment index, We conducted a survey of venture capitalist 65 and analyzed the data using AHP method. The results show that when VCs determine whether to invest in a venture or not, market related factors are considered most important. For venture companies who hope to receive investment from VCs, market access, CEO's technical / managerial experience, and recommendation/reputation are considered as crucial factors.
New product innovation is a process of embodying new knowledge in a product and technology licensing is getting popular as a means to innovations and introduction of new product to the market in today's competitive global market environment. Incumbents often rely on technology licensing to access new product opportunities created by other firms. Prior research has examined various aspects of technology licensing agreements such as specific contract terms of licensing agreements, e.g., distribution of control rights, exclusivity of licensing agreements, cross-licensing, and the scope of licensing agreements. This study aims to provide answers to an important, but under-researched question: why do some incumbents initiate more licensing agreement for exploratory learning while others do it for exploitative learning along the innovation process? We attempt to extend our knowledge of licensing agreements from an organizational learning perspective. Technology licensing as a specific form of interfirm linkages can be initiated with different learning objectives along the process of new product innovation. The exploratory stages of the innovation process such as discovery or research stages involve extensive searches to create new knowledge or capabilities, whereas the exploitative stages of the innovation process such as application or test stages near the commercialization are more focused on developing specific applications or improving their efficiency or reliability. Thus, different stages of the innovation process generate different types of learning and the resulting technological resources. We examine when incumbents as licensees initiate more licensing agreements for exploratory learning objectives and when more for exploitative learning objectives, focusing on two factors that may influence a firm's formation of exploratory and exploitative licensing agreements: 1) its past radical and incremental innovation experience and 2) its internal investments in R&D and marketing. We develop and test our hypotheses regarding the relationship between a firm's radical and incremental new product experience, R&D investment intensity and marketing investment intensity, and the likelihood of engaging in exploratory and exploitive licensing agreements. Using data collected from various secondary sources (Recap database, Compustat database, and FDA website), we analyzed technology licensing agreements initiated in the biotechnology and pharmaceutical industries from 1988 to 2011. The results of this study show that incumbents initiate exploratory rather than exploitative licensing agreements when they have more radical innovation experience and when they invest in R&D activities more intensively; in contrast, they initiate exploitative rather than exploratory licensing agreements when they have more incremental innovation experience and when they invest in marketing activities more intensively. The findings of this study contribute to the licensing and interfirm cooperation studies. First, this study lays a foundation to understand the organizational learning aspect of technology licensing agreements. Second, this study sheds lights on how a firm's internal investments in R&D and marketing are linked to its tendency to initiate licensing agreements along the innovation process. Finally, the findings of this study provide important insight to managers regarding which technologies to gain via licensing agreements. This study suggests that firms need to consider their internal investments in R&D and marketing as well as their past innovation experiences when they initiate licensing agreements along the process of new product innovation.
The increased investment in technological innovations makes the investigation of factors affecting technology adoption more interesting. Several perspectives have been proposed to explain the determinants of information technology adoption. While the traditional innovation diffusion research streams try to explain and predict adoption behavior with the adopter's perceptions about the characteristics of the innovation itself, critical mass theorists argue that adoption behavior as a collective action is based on what their business partners are doing and whether there exists enough critical mass to justify the investment. Drawing on theses two perspectives, this study investigates the decision criteria in the adoption of information technology as innovation and factors affecting the decision criteria. The survey results reveal that the adoption behavior is affected both by innovation characteristics and by critical mass's activity. Correlation analysis, t-test, and stepwise regression models also show that as the environmental uncertainty is getting higher, adoption decision is affected more by what others are doing, and that highly competitive organizations seem to play the role of critical mass.
In December 2020, the Fair Trade Act related to South Korea's separation of industrial capital was amended, and it was announced that the amendments would come into effect one year later, on December 30, 2021. The amendment's content involved breaking the previous principle of separating industrial capital from financial market penetration, allowing for the ownership of shares in general holding companies, small business startup investment companies, and technology business finance specialist companies. While the previous law was based on total issued shares' ownership, there were fluctuations in the subsequent trends of annual establishment and investment counts, as well as strategic investment counts of CVC (Corporate Venture Capital) before and after the law's amendment. CVC and IVC (Independent Venture Capital) are characterized differently based on their investment purposes, fund management types, and investment types. In this regard, the relaxation of the separation of industrial capital law is expected to have a positive impact on the future of the venture investment ecosystem and innovation ecosystem. In this study, we analyze the trends in the establishment count, investment count, and strategic investment count of domestic CVC from 2018, before the law amendment, to May 2023. Using 2021, the year the amended separation of industrial capital law was implemented, as a reference point, we examine changes in the trend. The analysis results indicate a significant increase in domestic CVC in 2021 compared to the previous year, along with an increase in investment counts, strategic investment counts, and the amount of investment in strategic investments. Based on these findings, this study suggests directions for further research related to future domestic CVC investment, strategic investment, and the activation of the venture investment market.
If Korea Research & Development reinforces integrated control function, indeed would Korea Research & Development's output be increased? Truly, could Korea's competition be ultimately improved with technology innovation and accumulation of knowledge. Can reinforcement of Integrated control that reinforced efficiency of Research & Development's investment effects make Korea Research & Development's investment,itself, be decreased? I try to answer clearly that in a way to reorganize Korea technology Administration's system, introduced Korea Research & Development integrated control system's establishment is what to effect Korea innovation system's direction after answering clearly previous mentioned problems. In this study, to answer these problems view theoretical discussion about Korea innovation system, integrated control system and system dynamics. Set up analytic tools of system dynamics which includes Korea innovation system and integrated control system. Then, draw a general casual loop diagram, which includes established Korea Research & Development's integrated control system, of Korea innovation system's activity. In based these, develop situation model to analyze trend of Korea innovation system and derive a political meaning by analyzing value of Korea innovation system's major inflow, outflow and stock variations according to extent of Korea Research & Development's integrated control in the same model.
International Journal of Computer Science & Network Security
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v.22
no.2
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pp.376-384
/
2022
The article considers the features of the organizational-economic mechanism of attracting investment resources in the innovative development of regions in terms of sustainable development. Factors influencing the investment activity of regions in terms of sustainable development, including: institutional structure, intellectual capital, level of innovation infrastructure, business development, financial and credit component, level of human resources development, information environment, production development, environmental component. Factors influencing the attraction of investment resources in the regions are identified. The dynamics of changes in the volume of capital investments and foreign direct investment in Ukraine is analyzed. The regional features of the distribution of capital investments in the conditions of sustainable development are revealed. The essence of the main principles on the basis of which the organizational - economic mechanism of attraction of investment resources in innovative development of regions in the conditions of sustainable development should be formed is analyzed. A set of measures to regulate the investment processes of the regions has been identified. The mechanism of attraction of investment resources in innovative development of regions in the conditions of sustainable development is outlined. The results of activity of separate Agencies of regional development for 2020 in the direction of investment and innovation activity and increase of level of investment attractiveness of regions are analyzed. Important prerequisites for the effective implementation of the organizational-economic mechanism for attracting investment resources in the innovative development of regions in terms of sustainable development are identified. The main directions of directing the efforts of the organizational-economic mechanism to ensure the attraction of investment resources in the innovative development of regions in the context of increasing the level of investment activity in the regional aspect are substantiated.
Proceedings of the Technology Innovation Conference
/
2001.06a
/
pp.145-156
/
2001
This paper investigates the effect of imported technology on the economic growth of Korea. To this end, the relationship between input technology and economic growth are suggested in the numerical form and analysed empirically. The rates of return of technology investments, which are divided into the domestic R&D investment and the investment on imported technology, are estimated. Based on the result of this analysis, the rate of return of the input technology, which includes the domestic R&D investment and the investment on imported technology, are estimated as 31.4%, and this input technology is calculated as to contribute 8.9% on the economic growth rate of Korea. And the domestic R&D investment is fumed out to have bigger rate of return than the investment on imported technology during the surveyed period. However, the rates of return of detailed R&D investments, which can be divided into the investments on commercial R&D and basic science, were not calculated in this paper, because of the lack of data on this in this paper. As well, the time-lag effect, which is naturally believed to exist between the R&D investment and the economic growth, could not be analysed wit:1 the same reason. Thus when analysing the relationship between them, this paper tried to minimize the time-lag effect by using the long-term data of twenty-three years.
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