• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.6
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• pp.139-150
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• 2017

In Korea, small and medium-sized enterprises (SMEs) play an pivotal role in the national economy, accounting for 99.9% of all enterprises, 87.9% of total employment, and 48.3% of production. In spite of their crucial role in the national development, most of SMEs suffer from a lack of R&D related resources. Public R&D organizations such as government-funded research institutes can provide SMEs with valuable supplementary technological knowledge and help them build technological capacity. In this regard, this study estimated the effect of internal R&D investment and private-public R&D cooperation on technological innovation of ICT SMEs based on 2016 ETRI Survey. Building on previous literatures, the study established and tested a research model using binary logistic regression analysis. First, internal R&D investment and preferences for open innovation demonstrated the strengthening of R&D collaboration. Second, internal R&D investment and R&D cooperation showed a positive effect on both product and process innovation. Therefore, internal R&D capability and taking advantage of R&D collaboration are needed to achieve technological innovation for SMEs in ICT sector. This study also discuss implications for encouraging private-public R&D cooperation.

• Journal of Information Technology Applications and Management
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• v.29 no.6
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• pp.23-42
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• 2022

This paper introduces two R&D policy instruments of public R&D and business R&D subsidy into the growth model of endogenous innovation simultaneously, and studies how they respectively affect economic growth, as well as how they interact with each other for the growth effects. Main results are as follow. The growth effects of each instrument are non-monotonous but various depending on the structure of economy. For example, the growth effects of public R&D become positive in the economy of more innovation-friendly structure such as larger marker size, more monopolistic market structure and more patient consumer, but the growth effects of business R&D subsidy become positive in the economy of less innovation-friendly structure such as smaller market size, more competitive market structure and more inpatient consumer. Meanwhile business R&D subsidy does not affect the growth effects of public R&D, but public R&D affects the growth effects of business R&D subsidy. Particularly, in the economy of less innovation-friendly structure public R&D becomes complimentary to business R&D subsidy.

• Asian Journal of Innovation and Policy
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• v.9 no.3
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• pp.281-307
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• 2020

A variety of approaches are being applied to improve the existing ex-ante evaluation by expert panels in publicly funded R&D. While the objective evaluation criteria are constantly being improved to screen and select the superior projects, alternative approaches such as random prioritization and logical modeling are also underway to overcome the conservative bias of reviewers and to secure disruptive innovation. This study intends to find critical implications for ex-ante evaluation of public R&D system from the comparison of Indonesia and Korea. For the comparative analysis, literature review and expert in-depth interviews are conducted on the national R&D system and the selection evaluation process. In Korea, the selection criteria of projects are legally promulgated for establishing an objective evaluation system, and at the program level, the major considerations in the planning process are specified by Presidential Decree. On the other hand, while Indonesia conducts R&D in 47 strategic fields largely by public research institutes (PRI) based on the non-competitive government contributions. This study draws out implications of institutionalizing the planning process at the level of program, and of increasing the ratio of contract-based competitive funding at the level of project in the national R&D portfolio.

• Journal of Korea Technology Innovation Society
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• v.8 no.1
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• pp.94-115
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• 2005

The purpose of this study is to evaluate the economic value of a biotechnology in the middle of R&D and to examine strategies to manage a variety of risks and uncertainties intrinsic in research and development of biotechnologies through economic valuation in consideration of technological and industrial characteristics of the technology. To do this, this study analyzes the probability of commercial success of the technology development in qualitative terms, evaluates the quantitative value of the technology on the basis of a determined model, and proposes the implications on R&D strategy. In concrete, this study analyzes the economic value of the technology by constructing a decision tree reflecting the characteristics of the R&D process of the technology and draw the implications on the future R&D strategies of the technology.

• Journal of Korea Technology Innovation Society
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• v.15 no.2
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• pp.277-298
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• 2012

Once a production focused on primary industry, Food, agriculture, forestry and fisheries industry is now trying to shed away and plans to totally transform the paradigm of agricultural R&D with a leaping goal towards being a new growth engine. Promoting the bioindustry through utilizing agricultural bioresources was selected as the primary task and also made all efforts to support by all government department and ministry. In this study, we are raised problems and planned the improvements by the empirical analysis of national R&D policy, investment strategy, the recent progress of R&D program, and the performance of R&D investment to achieve early commercialization in fields of agricultural bioresources utilizing. We also propose the R&D role sharing and cooperations of public/private sector to commercialize the agricultural bioresources from the comprehensive empirical analysis results. It will eventually strengthen the national R&D investment strategy and efficiency and then will contribute towards a successful early commercialization performance in bioindustry through utilizing agricultural bioresources.

• Journal of Information Technology Applications and Management
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• v.20 no.2
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• pp.39-56
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• 2013

There have been many studies that open innovation activities have positive effects on firm performance. However, the previous studies have shown conflicting results, depending on the characteristics of companies or the timing of the product launch. This study empirically compares open innovation performance of first-mover companies and follower companies. The analyses are performed on the samples of the Korean Innovation Survey 2010 companies that explored external information and performed R&D cooperation. The results indicate that open innovation activities can have different effects depending on a company's status in the market. For the first-mover companies, the intensity of utilizing external information has greater impact on the firm's performance than the diversity of it. By contrast, for the follower companies, the diversity of utilizing external information has greater impact on the firm's performance than the intensity of it. In terms of R&D cooperation, the external cooperation is found not to have significant effects on a first-mover company's performance. However, external R&D cooperation of a follower company is showing positive impact on the firm's performance. The implication of the study is to analyze the firm's Open-Innovation performance by comparing first-mover companies with follower companies. Therefore, companies need to execute the Open-Innovation strategy by considering firm characteristics or the timing of the product launch.

• Journal of Technology Innovation
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• v.15 no.2
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• pp.1-24
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• 2007

In this study, we estimated a CES production function for the Korean economy. We have found in the empirical results that the elasticity of the factor substitution is less than one and that the Korean economy exhibits labor-saving technological progress. In addition, we obtained the regression coefficient of R&D investment on technological change, i.e., the elasticity of R&D investment with respect to the technological change was 0.26% point. It implies that if R&D stock increases by 1%, labor efficiency increases 0.26% point through technological progress which is Hicksian non-neutral. It confirms that innovation-based growth strategy by increasing R&D investment would be effective on the one hand. Some policy consideration on the other might be needed for an increase in employment which is offset by technological progress.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.47-66
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• 2013

Recently, with the diffusion of a new paradigm named as the creative economy, the government's interests and efforts regarding support of SMEs' R&D have been concentrated. In particular, due to the dominant perception that the fundamental science and original technology from government-funded research institutes can further enhance the capabilities of SMEs' R&D, the importance of performance's diffusion on national R&D is further emphasized. In fact, the domestic SMEs don't have enough budget and workforce, so that all of self-contained technologies, product's competitiveness as well as the R&D capabilities, are very vulnerable, and thereby SMEs' commercialization is very likely to fail. For this end, SMEs need to adopt the concept of open innovation as the use of external R&D resources by licensing. In this study, we conducted a survey on a total of 286 domestic IT SMEs, and analyzed empirically to compare the degree of their acceptance on technological innovation between two groups divided by open/not-open innovation. As a result, we drew some of the key factors influencing the acceptance of the SMEs' open technological innovation, and found a variety of implications through them.

• IE interfaces
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• v.16 no.2
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• pp.125-139
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• 2003

This paper reports an empirical study on assessment of R&D best practices. The principles of quality management and their tools such as best practices or benchmarking have been so prevailing in the operational process that the R&D management recently consider extensive use of them for their innovation process. However, characteristics of the two processes may be different each other. Are the principles or the tools that were effective in the operational field still going to be effective in the innovative field? In order to answer the question, we statistically examine how R&D best practices contribute to the innovative performance. Upon literature review on technological innovation, we present a R&D process model whereby we set forth research hypotheses. Using data from 66 successful R&D efforts carried out among Korean firms mostly between 1999-2001, regression analyses reveal that best practices used in most stages throughout the R&D process are found not to significantly contribute to the innovative performance. Only those in technology strategy and prototyping stages are proven effective for technical and commercial performance respectively. Interestingly, efforts in a problem solving and improvement stage are counterproductive in the case of the innovation process. Discussions on our empirical observations are presented followed by some managerial implications.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.75-89
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• 2019

In the case of SMEs, entrepreneurship that organizes only core functions with the minimum number of people is increasing, and a responsibility management system focusing on core functions is emphasized, so that the interest in innovation behavior and survival strategy of enterprises is getting bigger. However, in the case of SMEs, it is not easy to pursue continuous innovation due to lack of capital and lack of professional manpower. The purpose of this study is to investigate the effect of SME on innovation behavior by selecting exploratory study and literature study for SMEs. The data for this study were 545 out of the total 600 copies distributed to employees in SMEs. The data were analyzed using SPSS 21.0 and amos18.0. First, product diversification, strategy formulation, and R & D have a significant effect on innovation behavior, and market diversification has no effect on innovation behavior. Second, working variables such as product diversification, market diversification, strategy formulation, and R & D do not control the influence of innovative behavior on innovation behavior. Third, the rank variable, which is the controlling variable, controls the magnitude of the effect of product diversification, market diversification, strategy formulation, and R & D on innovation behavior. As a result, corporate managers should lead the organization in order to promote product diversification, market diversification strategy, R & D and innovation activities. After discussing the conclusions and implications of this study, this study presented the direction of the research for the follow-up study.