• Journal of Korea Technology Innovation Society
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• v.6 no.3
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• pp.279-297
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• 2003

The purpose of this paper is to analyze the determinants of company R＆D investment with zero observations by using the data of R＆D Scoreboard published by Ministry of Science and Technology(2002). Conventional parametric approach to dealing with zero investments is not robust to heteroscedastic and/or non-normal error structure. Thus, this study applies symmetrically trimmed least squares(STLS) estimation as a semi-parametric approach to dealing with zero R&D investments. The result of specification test indicates the semi-parametric approach outperforms the parametric approach significantly. Moreover, the results of the study provide various implications as summarized below. The R&D investment of IT company is larger than that of non-IT company. The R&D investment has a positive relation to foreigners' investment ratio. The higher degree of financial self-reliance is, the larger the R&D investment is. Firm size variables such as sales amount and the number of workers are positively related to R&D investment. The sales elasticity of R&D investment is larger than one. However, the workers elasticity of R&D investment is smaller than one.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.47-56
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• 2016

This study is on the actual analysis of R&D investment effect through DEA in terms of efficiency resulted from forestry sector climate change response R&D project. Namely, it is clarifying the mechanism of the scientific, technological, social performance result and output, depending on research development cost, employment size as same input. Also, it is in-depth analysis on which performance operates more efficiently in any detailed business. With the study result, we seek political implications to enhance investment effect and core element to consider R&D business project in the future.

• Knowledge Management Research
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• v.24 no.2
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• pp.65-85
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• 2023

This paper investigates how TMT's cognitive traits affect R&D investment. Drawing on the attention-based view, we propose that TMT's future orientation and risk preference increase the level of R&D investment. As R&D activities have long-term goal of generating proprietary knowledge, it is important to understand how TMT's attention toward future and risk affect R&D investment. Also, we test the moderating effect of CEO duality on R&D investment. As the CEO plays a leadership role in the TMT, if the CEO's decision-making authority is highly concentrated, the impact of TMT on R&D may decrease. We measure CEO duality and CEO ownership stake as CEO characteristics. Based on a sample of 837 U.S. manufacturing firms, the results show that when TMT has a higher tolerance for risk and higher future orientation, R&D intensity increases. However, when CEO also serves as chairman of board and CEO has higher ownership, TMT's influence on R&D investment weakens. This implies that TMT and CEO has power dynamic that can change based on CEO power supporting status. Overall, it suggests that TMT's attention and CEO power are important factors to improve longer-term knowledge accumulation of firm.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.17-24
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• 2018

This study attempted to analyze technology convergence structure and key technology research sectors in bio-health. For this, network analysis was performed based on the patent outcomes achieved through national R&Ds. Then, a patent network was analyzed to derive problems and collect data from the National Science & Technology Information Service. With the five groups obtained through the analysis of IPC network and national R&D patents in bio-health based on a research frame network, topics were chosen based on the bio-healthcare technology system. Then, the technology with the greatest ripple effects was derived and compared to other sectors, suggesting a direction for national R&D investments. It is anticipated that this study would make a contribution to a search for R&D investment direction by additionally analyzing overseas patent data and improving correlation analysis between technology convergence and government-led R&D expenses.

• Journal of the Korean Regional Science Association
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• v.31 no.4
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• pp.71-90
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• 2015

This article aims to explore the performance evaluation framework for assessing the contribution of national research and development(R&D) program to productivity growth. The key idea starts with the development of methodology for evaluating the returns to R&D. The method of this study is based on the comparison of productivity growth between different periods, not cross-sectional approach with one period. In this context, backward effect and forward effect are operationally defined as a measurement for contributions of R&D in this paper. The analysis results gives that the backward effect of R&D is greater than the forward effect, while the difference was especially evident with the case of sales variable, not operating profit variable.

• Korean Journal of Construction Engineering and Management
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• v.8 no.6
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• pp.167-177
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• 2007

For the continuous growth of the construction industry and the increase of the global competitiveness, research and development of construction technology is necessary. However, the R&D investment of Korean government for the construction industry is not sufficient compared with other countries and the various policies for encouraging construction R&D investment need to be improved too. This research focuses on the promotion of the construction R&D by the private sector that is one of the principal body of construction R&D and also the final user of the developed construction technology. This research suggests three promotion directions for the construction R&D by private sector; (1) the direction of creating better R&D investment climate, (2) the direction of increasing R&D investment amount, and (3) the direction of fostering R&D activities immediately.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.12-23
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• 2021

Due to high proportion of exports, Korea has a higher dependence on the global value chain (GVC) than other major developed countries. This reason, Korea has a structure that is sensitive to GVC changes. This is because Korean exports are concentrated on specific countries and items, and most of the materials for export tend to depend on imports. Currently, export restrictions resulting from trade disputes with Japan can affect the industry of Korea as a whole due to the supply of core materials. Therefore, in order to minimize economic damage caused by export regulations in the current situation, it is necessary to reorganize the GVC, through efforts to rapidly diversify imports and localize imports that depend on Japan. To this end, it is necessary to derive and classify imported goods that depend on Japan, and to localize items that are difficult to diversify imports, and prompt R&D investment is required for this. This study aims to support R&D investment policy through quantitative analysis based on big data rather than a decision-making method based on expert-centered qualitative analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.698-705
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• 2014

R&D investment has rised in recent years. Korea's R&D budget is 43.8 trillion won which is 3.74% adjusted gross domestic product in 2010. Technological advances and technical inovation will bring productivity growth to Firm and Firm's productivity growth will increase GDP in sequence. Therefore the importance of study on the Firm's R&D industry is getting growing. In this study we attempt to analyse the economic impact of the Firm's R&D industry through several years using an inter-industry analysis. Specifically, this study analyze production-inducing effect, value added inducing effect, and employ-inducing effect based on demand-driven model. The analysed results of year from 1995 to 2009, the Firm's R&D investment increases production-inducing effect, value added inducing effect, and employ-inducing effect with the course of time. This means that influence of the Firm's R&D industry has increased.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.176-198
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• 2013

Preliminary feasibility study(PFS) was introduced in 1999 by financial authority to encourage a cautious approach to new large-scale public investment project. As it applied cost-benefit analysis as prime measure for decision-making, various issues have been arisen concerning feasibility analysis on R&D programs. This work is intended to suggest standard approaches to be established in PFS on R&D program as follows: 1. The issue questions can be induced in a standard way by 15 representative questions and their correlation with evaluation criteria. 2. The analyzing strategy can be standardized by establishing standards for classification of R&D effects and R&D logic analysis.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.893-904
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• 2014

This study is designed to analyze the status of R&D investment and managerial performance related to the domestic manufacturing. To accomplish the purpose of the study, We have regression analyzed 6,054 companies based on the data of 'Business Activity Survey' disclosed by Statistics Korea. Result of the study are as follows. First, electronics, IT, and auto industry account for 25.6% of the country's manufacturing companies and take up 75.8% of the total R&D funding for the manufacturing industry. Second, R&D funding exercises positive influence on sales and the number of registered patents, which last exerts positive influence on sales.