• International Journal of Contents
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• v.8 no.3
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• pp.42-51
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• 2012

Korea has entered into the Post Catching-up era and the necessity of new innovation strategy in response is being raised. This study argues the necessity of new innovation strategy and discusses the issue of co-ordination between R&D and Human Resource for that as the key factor. From empirical analysis, there seems to be restricted inflow of outstanding human resources to manufacturing sectors and lowering effectiveness of major even with the improved compatibility between major and job. Especially, it is severe in the industries with high R&D investment. It can be interpreted as an incoordination of the technological innovation efforts from the aspect of R&D investment with human resource utilization from the aspect of new human resource. The analytical result and interpretation suggests that there should be more active improvement on the co-ordination between innovative manufacturers' efforts and human resource utilization, in order to keep sustainable development.

• Journal of Technology Innovation
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• v.7 no.2
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• pp.21-36
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• 1999

This paper presents a R&D investment model for Information and telecommunications (I&T) technology, which can be used by group decision makers, using multiple objective linear programming (MOLP). The MOLP model involves the simultaneous maximization of three linear objective functions associated with three criteria, which are social, technological, and economic criterion. This model is different from the traditional one which only involves the maximization of economic criterion. The presented problem in this model can be formulated as a problem of optimizing a linear function over an efficient set of MOLP. Its application to the National R&D Project in I&T Industry is also presented. In this application, the Analytic Hierarchy Process (AHP) is proposed to estimate the weights, which are used as the coefficients in each objective function of the MOLP model and in a linear decision function. By solving this problem, it yields a suitable R&D investment ratio to each technology field. It is showed that the MOLP model can be useful decision aid in formulating R&D investment plan in I&T industry which needs to be decided by group decision makers, not by an individual. It is expected that the MOLP model works as the basis for planning R&D investment strategy in I&T industry.

• Journal of Energy Engineering
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• v.21 no.3
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• pp.315-324
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• 2012

Waste reduce, recycle, energy recovery technology is one of 27 key green technology by 2012, the government should increase R&D investment, despite the period 2008 to 2010 average annual growth rate was decreased. Accordingly, this area of government investment in R&D status analyzed in detail and as a result, total government investment in R&D decreased, but in these fields to define strategic product services investment in technology is increasing centralization trend that appears to be investment in the quality of determined that the good is. In particular, in 2010, strategic product service of the technologies 3 technology groups ((1) waste energy equipment (2) waste resource recycling facilities (3) waste based materials production facilities) the proportion of 24-28% relatively evenly invested, government R&D is judged that adequate investment in quality.

• Journal of Korea Technology Innovation Society
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• v.18 no.1
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• pp.1-27
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• 2015

Korea has increased R&D investment continuously for the improvement of global technological competencies. Korea ranked first in the world with 4.15 percent in the ratio of R&D investment to GDP. In particular, the private sector occupies a crucial position of technological innovations in Korea, constituting 78.5% of total R&D investment. However, quantitative growth strategy is no longer effective, so efforts to enhance efficiency by upgrading qualitative level are badly needed. This paper studied methods for improving firms' business performance. For this, it tried to empirically verify technology strategy and technology planning capability's influence factors on the improvement of business performance. The study showed that technology strategy and technology planning activities have positive effects on the improvement of business performance. And it was revealed that coordination flexibility contributes to the enhancement of business performance by positively controlling technology planning activities. The study performed sample survey on the companies with R&D centers and multiple regression analysis and quantile regression were used for the analysis.

• Journal of Technology Innovation
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• v.23 no.1
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• pp.87-105
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• 2015

This research confirms a non-linear relationship between R&D investment and performance of small and medium-sized enterprises and measures the adequate level as threshold value. Although previous studies did not consider the time lag and estimated indirectly the level using the R&D investment squared term, this study assumes 2 years time lag and uses the threshold estimation model to measure directly. We find that there is the S-curve relationship between the profit rate as R&D output and R&D intensity and the ratio of researchers to employees as R&D input. Also, we estimate the adequate levels of R&D investment, 6.4% for R&D intensity and 13% for the ratio of researchers to employees. This relationship and measurement of the level can offer basic facts and implications about R&D policy and strategy.

• Korean System Dynamics Review
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• v.5 no.2
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• pp.33-66
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• 2004

This study is an exploratory investigation on how national R&D investments decisions are made in Korea. For developing system dynamic model, we are interested in locating three structural dilemma, occurring with the Korean NIS. In so doing, we intend to devise the ways of ameliorating problems within the NIS investment decision-making process by providing policy implications. We identify delays and side effects during transition periods between different stages of technology innovation by perceiving the switching pattern dynamically, in which form of technologies shifts from one to another stage like paradigm shift, when the R&D investment reaches a certain stock. It is also suggested that the development of strategies is necessary in order to enhance efficiency of technological development process.

• Journal of the Korea Institute of Building Construction
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• v.8 no.4
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• pp.123-129
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• 2008

The final objective of this study is to establish the research and development (R&D) encouragement strategy in construction area. For this, this study deals with the survey of current status of Korean construction industry. The result of this study is as follow; First, it is necessary for strengthen the R&D infrastructure to establish R&D cooperation system between industry, university, government and public institute. Second, private sector's should do its role as one of the four performing sectors in R&D network, not just assisting role. We will apply the result for establshing the national strategy as basic data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.164-169
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• 2019

Defense R&D investment is expanding. This shows that major countries are preparing for future warfare by securing high-tech technologies and developing new concept weapons systems. In particular, it is expected to accelerate the development of the technology of the 4th Industrial Revolution in the future, and Korea needs its own ability to develop advanced weapons and medium- and long-term investment strategies to prepare for future warfare. The defense science and technology strategy will be established every five years. The strategy-dependent R&D drive has limitations in replacing the rapidly changing security environment and changes in science and technology. This study proposes an investment efficiency process to proactive incorporate information into R&D strategies with a focus on implementing policies and changing security threats, while maintaining continuity in which strategic and focused areas are linked to core technology development. The process can quickly reflect the needs of technological change, the security environment and defense policy. The process can be used to efficiently allocate defense R&D budgets and establish strategic investment directions.

• Journal of Korea Technology Innovation Society
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• v.17 no.4
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• pp.651-672
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• 2014

Under the diagnosis of low employment rate and low growth, the government regards the creation of new jobs through the creative and innovative R&D as an important national plans. This study attempts to measure the employment creation effect of R&D investment of industrial technology by using input-output analysis used in domestic and international broadly. The employment effect can be divided into employment inducement effect and direct employment effect. As a result of the analysis, The employment creation effect of R&D investment of government industrial technology is measured to be 8-12 peoples per 1 billion KRW investment. This results mean that government R&D investment is a effective policy for employment creation. And it is necessary to establish R&D policies that reflect the technical characteristics of the employment creation effect. In short term, it is important that the government invest the superior technology of total employment and direct employment as essential means of employment creation by selection and concentration strategy. In mid-long term, the government should focus on technology spread as technology transfer and opening innovation strategy for employment creation to support superior technology of employment inducement. The results of this study can be used in analysis on the employment creation effect related to industrial technology R&D.

• Information Systems Review
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• v.19 no.4
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• pp.1-25
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• 2017

Despite high uncertainty on financial return, firms have continuously increased their investment on technologies because they recognize the potential value of technology investment in terms of enhancing operational efficiency and sustaining competitive advantage. Notably, an individual technology investment pattern or strategy within an industry may ultimately lead to significant differences in business performance. Hence, we first categorized technology investment into traditional research and development investment and information technology investment. Afterward, we examined the effects of each pattern with combination of the two types of technology investment on business performance according to firm size and position in the supply chain through fuzzy-set qualitative comparative analysis. Data collected from 562 manufacturing firms in Korea were used in the analysis. Results showed that large-sized firms were slightly affected with microscopic patterns in their technology investments, whereas small firms were highly affected with their technology investment patterns and their positions in the supply chain. The findings implied that a small enterprise requires an appropriate technology investment strategy to achieve successful business outcomes.