• Journal of Korean Institute of Industrial Engineers
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• v.28 no.2
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• pp.201-215
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• 2002

In this paper, we use a structural equation model to diagnose success factors on commercialization of information and communication technology considering the characteristics of commercialization process in terms of the type of technology, technology provider and technology receiver. The results of our study indicated the following. The transferor's research ability has significant effects on the commercialization by small businesses with low R&D expenditure to sales ratio, and the business management ability plays an important role in the commercialization by the relatively large (over 100 employees) companies with low R&D expenditure ratio. During the commercialization of the technology independently researched by government run institute or university, the transferee's business management ability is crucial to success. To those companies which run the existing business with high R&D expenditure ratio, their ability to utilize technology is essential. When the independently researched technology is used in the new business, the companies' business management ability and the role of technology transfer center are the important factors on the commercialization. Based on these findings, we suggest some strategies to effectively promote R&D efforts for successful commercialization.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.3
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• pp.75-83
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• 2015

This article investigates the impact of SMEs' R&D expenditure, government R&D funding, the number of funded by Government R&D programs on the employment growth rate. This study also explores whether government R&D funding and the number of funded by Government R&D programs have interaction effects between SMEs' R&D expenditures and the employment growth rate. The results show that SMEs' R&D expenditure and government R&D funding have a positive effect on the employment growth rate. The rest of variables have no significant direct effects on the employment growth rate. The government R&D funding has a interaction effect between SMEs' R&D expenditures and the employment growth rate. Especially, the firm group of high-level innovation capabilities has a positive effect on the employment growth rate. The results explain that the government R&D funding influences SMEs' employment positively and the impact of the government R&D funding on employment is more effective in the firm group of high-level innovation capabilities. Therefore, Government provides differentiation strategy of R&D funding by innovation capabilities of SMEs and can maximize the employment.

• Korean Management Science Review
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• v.10 no.1
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• pp.81-105
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• 1993

The objective of the paper is to develop models for determining the aggregate budget size in long-range R&D planning of KT(Korea Telecom.) and for allocating it by strategically adopted technologies for KT's TOP(Telecommunication-Oriented Paradise) Strategy. In the model of R&D budget size determination, the linear regression analysis is applied. In allocating the R&D expenditure, criteria weighting and technological importance ranking are determined by means of the Analytic Hierarchy Process(AHP) as a decision aid, along with hierarchical representation and pairwse comparisons. R&D budget analysis provides to basic data for the mid-and long-range R&D planning. The model then needs to be adjusted as the TOP project plan becomes specific. Resource allocation model for R&D based on AHP can be used to identify the importance of the technologies for TOP according to short-, mid-, and long-term perspectives without further modification. It is expected that the R&D budget analysis model works as the basis for planning R&D investment strategies and that the resource allocation model for R&D contributes to the effective use of the limited resource.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.397-415
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• 2021

Purpose - The purpose of this study is to analyze the cost behavior of firms, taking into account both high R&D intensity and situations in which R&D activities are likely to be performed efficiently. Design/methodology/approach - During the sample period from 2002 to 2019, regression analysis is conducted on the manufacturing firms with December fiscal year listed on KOSDAQ. The degree of R&D expenditure was measured by R&D intensity. The efficient R&D situation is measured as the decline stage firms in the KOSDAQ market, which are relatively smaller than the KOSPI market. Findings - Firms in the decline phase and high R&D intensity showed the cost stickiness. Because these firms anticipate an optimistic future, they do little to cut current costs even if their current sales decrease. Research implications or Originality - Firstly, it is confirmed that both the extent of R&D expenditure and the situation in which R&D will be effectively performed are important in the study of cost behavior. Secondly, we present a new perspective on strategy research that favors the use of cost advantage strategy related to cost anti-stickiness for the decline firms.

• Environmental and Resource Economics Review
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• v.14 no.4
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• pp.839-866
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• 2005

This study addresses the effects on the economy of atomic sector's R&D by considering how much KAERI's R&D expenditures in 2000 affect on the production and value-added of each industry and the whole economy. This study answers to the question using competitive import input-output tables and both supply driven and demand driven IO models, which are frequently employed in evaluating economic impacts of R&D in both domestic and foreign academic areas.

• Journal of Information Technology Applications and Management
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• v.21 no.3
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• pp.1-17
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• 2014

In this study, various characteristics of R&D related economic variables were studied to analyze complexity of science and technology activities in Korea, as reliance of R&D activities of the private sector is growing by the day. In comparison to other countries, this means that it is likely to be fluctuated by economic conditions. This complexity characteristic signifies that the result of science and technology activities can be greatly different from the anticipated results - depending on the influences from economic conditions and the results of science and technology activities which may be unpredictable. After reviewing the results of 17 variables related to science and technology characteristics of complex systems intended for time-series data - in the total R&D expenditure, and private R&D expenditure, numbers of SCI papers, the existence of chaotic characteristics were. using Lyapunov Exponent, Hurst Exponent, BDS test. This result reveals science and technology activity of the three most important components in Korea which are; heavy dependence on initial condition, the long term memory of time series, and non-linear structure. As stable R&D investment and result are needed in order to maintain steady development of Korea economy, the R&D structure should be less influenced by business cycles and more effective technology development policy for improving human resource development must be set in motion. And to minimize the risk of new technology, the construction of sophisticated technology forecasting system should take into account, for development of R&D system.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.663-683
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• 2018

This study aims to analyze the effectiveness of R&D tax credit for SMEs. We surveyed to collect the information on firm's financial statements and R&D tax credit during 2014-2016, and implemented fixed effect model, random effect model and panel negative binomial model. The results show that the effect of R&D tax credit is 5.3 times larger in terms of R&D expenditure and 4.3 times bigger in terms of number of researchers than that of R&D subsidy. In addition, the effect of tax credit on non-metropolitan area companies is higher than that in the metropolitan area. Based on these results, we suggests three ways to improve the R&D tax incentive system for SMEs; To convert unused R&D tax credit of the start-ups to tax points, to exempt the minimum tax rate on R&D expenditure in equipment, and to unify the operation of various R&D tax credit institution.

• Journal of Technology Innovation
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• v.19 no.3
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• pp.141-174
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• 2011

This paper presents the results of a meta-regression analysis on econometric evidence concerning the relationship between public funding of R&D and private R&D expenditure by reviewing literature and synthesizing existing results. The analysis on the effects of public financing on private investments in R&D has been the object of numerous studies, none of which having arrived at definite conclusion. A meta-analysis based upon a data-base including all relevant studies was carried out to examine whether the characteristics of the applied analysis influence the results. Three different empirical results are presented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.5
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• pp.1829-1837
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• 2010

During the last year, public expenditures which provided the central and local governments for boosting research and development (R&D) activities of the private sector has been constantly increasing. 17 percent of public total R&D expenditure supported to private sector and 9 percent of R&D expenditure in service sector were public R&D funding. However, studies evaluating the impact of public R&D subsidies are quite few. The aim of this study empirically investigate the average effects of public R&D subsidies on the innovation activities in private sector, specifically those engaged in Korean service firms by using Propensity Score Matching(PSM) method. The effect of R&D subsidies is derived from either qualitative and quantitative outcomes of innovation activities, which is defined as the difference between innovation outcome of the treatment group (receiving R&D subsidies) and that of the control group (non receiving R&D subsidies) after the matching method. As a result of empirical analysis, government R&D grants stimulate only firm-first innovation outcomes in service firms. It is represent that public R&D subsidies cannot be contributed to level of national innovation and the total amount of national innovation activities but can enhance firm competitiveness from increasing firm-first innovation activities.

• Journal of the Korean Academic Society of Industrial Cluster
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• v.1 no.1
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• pp.16-28
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• 2007

This paper analyzes the effects of networking and competition on individual companies' R&D investment, focusing on pharmaceuticals, PCB (Printed Circuit Board), and auto parts sectors. Data were obtained through a survey on firms operating in Seoul, Incheon, and Gyung-gi metropolitan area. The estimation results suggest the networking with other actors in the clusters tends to increase R&D investments of individual firm's. But competition in a cluster tend to reduce individual firm's R&D investment. These results suggest the public policy promoting networking in a cluster could induce private firms' R&D investments and, therefore, should be maintained.