• Journal of the Semiconductor & Display Technology
• /
• v.18 no.3
• /
• pp.77-81
• /
• 2019

Recently, Korea has been making efforts at the government level to overcome the national crisis that Japan's dependency on technology in the semiconductor and display materials sectors has also escaped due to export regulations on three materials carried out by Japan. Therefore, based on the data of the National Science & Technology Information Service (NTIS) operated by the government, we analyze the trend of R & D investment in the display field, thereby improving R & D to improve material technology competitiveness in the future. Let's examine the implications of investment. A total of 5 years of new research and development investment in the field of display was invested as basic research fund for 25%, 15% for applied research, and 53% for development research. In terms of development cost and development period, the basic research showed that the amount of money and the development period were shorter than that of applied research. In other words, the basic research accounted for 25% of the R & D investment and the average R & D period was only 3.2 years. As we can see from the recent development of H fiber carbon fiber, which was recently developed and entered full-scale production, we were able to succeed because of the benefits of government support for 10 years while giving the same material title differently. In order to escape from Japan's technological dependence on semiconductor and display materials in Korea, As such, basic research in the field of materials is only possible when long-term research is conducted.

• Korea Trade Review
• /
• v.46 no.1
• /
• pp.1-21
• /
• 2021

The main purpose of this research is to analyze the changes in investment motivation by year through time series and cross-sectional analysis of the factors and investment decisions of Korean manufacturing companies. According to the investment pattern for Asean from the 1980s to the 19th, the first expansion period was 82 to 86, the average increase in overseas investment for securing foreign raw materials due to the second oil shock, and the second expansion period was a gradual increase in exports to the U.S. in 1987 to 1996. During the first stagnation period, direct investment in Asean stagnated in the aftermath of the 1998-05 Asian crisis, and in the third expansion period, part of the production facilities invested in China were relocated to Asean, increasing Asean's investment to become Korea's largest manufacturing investment in 17. Korea's proportion of investment in Asean surpassed that of mass investment since 10 years ago, and the proportion of investment in manufacturing sector has been transferred from China to Asean, and after 17 years, it has served as an overseas production base connecting China. As such, The main purpose of the research will be to extract the determinant factors and key factors for overseas direct investment and investment patterns in conjunction with global manufacturing companies' production base relocation and investment trends through empirical analysis. This research paper gave basic reference to the motivation and determinant of investment 16 years ago, and analyzed the changes in investment motivation by year and content through empirical analysis, contributing some reasonable purpose to the decision of companies and policy makers interested in overseas direct investment.

• Management & Information Systems Review
• /
• v.17
• /
• pp.381-399
• /
• 2005

During the past decade a great deal of attention has focused on the impact of IT investment. However, many related studies have frequently generated controversial or inconsistent results. These results imply that the relationship between IT investment and performance is complex and multifaceted. And empirical studies with new analytical techniques are badly needed to examine the way IT investment interacts with various organizational and environmental elements to influence corporate performance. Accordingly a study of IT investment needs to make a contingency approach to determining the level of IT investment based on the competitive strategy in a macro perspective. The basic purpose of this research is to analyse the relationship between IT investment and IT effectiveness and to identify the moderating effect of competitive strategy in the relationship. The results showed that there is no relationship between IT investment and IT effectiveness, and the competitive strategy can be considered as a significant moderating variable between IT investment and IT effectiveness.

• Journal of Technology Innovation
• /
• v.27 no.4
• /
• pp.21-48
• /
• 2019

In the basic research field, quantitative expansion is carried out with active support from the government, but there is no research and policy data suggesting systematic investment plans or data-based financial requirements yet. Therefore, this study predicted future financial requirements of basic research support programs by using time series prediction model. In order to consider various factors including the characteristics of the basic research field, we selected the ARIMAX model which can reflect the effect of multi valuable factors rather than the ARIMA model which predicts the value of single factor over time. We compared the predictions of ARIMAX and ARIMA models for model suitability and found that the ARIMAX model improves the prediction error rate. Based on the ARIMAX model, we predicted the fiscal spending of basic research support programs for five years from 2017 to 2021. This study has significance in that it considers the financial requirements of the basic research support programs as a pilot research conducted by applying a time series model, which is a statistical approach, and multi-variate rather than single-variate. In addition, considering the policy trends that emphasize the importance of basic research investment such as 'the expansion of basic research budget twice', which is the current government's national policy task, it can be used as reference data in establishing basic research investment strategy.

• Journal of Hydrogen and New Energy
• /
• v.21 no.2
• /
• pp.143-148
• /
• 2010

Research and Development (R&D) investment of hydrogen and fuel cell, funded by government from 2007 to 2008 in Korea, has been analyzed. R&D investment of hydrogen and fuel cell in 2008 would see 9% and 29% of total budget in the field of renewable energy, respectively. It was found that R&D investment is mainly dependent on mission of Ministry in Korea. Basic and apply research would be mainly invested by Ministry of Education, Science and Technology (MEST), while development research would be conducted by Ministry of Knowledge Economy (MKE). In R&D investment by performer, hydrogen technology would be conducted by government-funded institute and university. It was also shown that funds for hydrogen production have been much supported than hydrogen storage. Meanwhile, fuel cell would be mainly conducted by major companies. It was also shown that funds for proton exchange membrane fuel cell (PEMFC) have been much invested than other technology in fuel cell.

• Journal of Technology Innovation
• /
• v.25 no.3
• /
• pp.51-82
• /
• 2017

In terms of both economic growth and social welfare, this paper discusses the optimal proportion and size of basic research budget by adding knowledge stock to an endogenous growth model. On the basis of the modified endogenous growth model, this paper derived an equation that consists of kinds of parameters and suggested this equation as a criterion for determining whether allocated basic research budget has been appropriate. This paper also found that the theoretical optimal ratio between government investment spending and investment in basic research is equal to the ratio between the partial elasticity of output with respect of public capital stock and the partial elasticity of output with respect of knowledge stock. In addition, after the required parameters were specified based on precedent literatures, this paper estimated an optimum size of the basic research budget using the theoretical optimal ratio with official statistical records and compared the estimated size to its actual size. This paper therefore is expected to contribute to budget planning and allocation regarding establishing basic research policy, because the results of this paper presents a useful criterion for optimum level and an approximate size of investment in basic research. However, it should be noted that although the optimal solution is optimal in a economic sense, it may not be the best solution from a practical perspective.

• Journal of Korea Technology Innovation Society
• /
• v.21 no.3
• /
• pp.938-968
• /
• 2018

Korea's basic research has been rapidly expended in both quantative and qualitative aspect since establishment of 'the Korea Science & Engineering Foundation' in 1977, proclaiming of 'the First Year of Basic Research Promotion' and enactment of 'the Basic Sciences Promotion Act' in 1989. Despite the continuous increment of government basic research funding, the problem of low perceptions of university researchers on the funding increment has been constantly raised. Based on an intrinsic review on the core issues are diagnosed based on Korean academics' basic research status analysis and future challenges are proposed based on the precedent diagnoses. The six key issues that need to take the next step in Korean academics' basic research are as follows: (1) basic research investment in universities, (2) appropriate research expenses for supporting individual researcher, (3) basic research funding allocation method, (4) maintaining the sustainable success rate of research projects, (5) systematic and strategic support for excellent researchers, (6) creating research-immersive environment. The five challenges to promote basic research in academics are as follows: (1) increasing in university research expenses, (2) diversification of basic research funding allocation method, (3) establishment of research field-specified support system and predictable principles, (4) stable and sufficient support for outstanding researchers, (5) reducing burden on research administration.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.17 no.2
• /
• pp.145-162
• /
• 1992

This paper proposes two design principles for expert systems to solve a stock market timing (SMART) problems : machine knowledge and fuzzy post-adjustment, Machine knowledge is derived from past SMART instances by using an inductive learning algorithm. A knowledge-based solution, which can be regarded as a prior SMART strategy, is then obtained on the basis of the machine knowledge. Fuzzy post-adjustment (FPA) refers to a Bayesian-like reasoning, allowing the prior SMART strategy to be revised by the fuzzy evaluation of environmental factors that might effect the SMART strategy. A prototype system, named K-SISS2 (Knowledge-based Stock Investment Support System 2), was implemented using the two design principles and tested for solving the SMART problem that is aimed at choosing the best time to buy or sell stocks. The prototype system worked very well in an actual stock investment situation, illustrating basic ideas and techniques underlying the suggested design principles.

• Journal of Korea Trade
• /
• v.26 no.5
• /
• pp.1-22
• /
• 2022

Purpose - This study aims to analyze the influence of South Korea's outward foreign direct investment (OFDI) under the effect of both multinational enterprises' (MNEs) investment motivation and host country institutions. Some suggestions are put forward with regard to South Korean MNEs participating in and integrating into the fierce and changeable world of international market competition. Design/methodology - The basic hypotheses are that MNEs' investment motivations and the host country's superior institutions both boost South Korea's OFDI in those host countries. South Korea's OFDI is divided into investment choice stage and investment scale stage. A Heckman two-stage selection model is established for empirical analysis, using the panel data of South Korea's OFDI and related variables, from 2002 to 2019. Findings - (1) The influence on the investment scale of South Korea's OFDI is more regular and noteworthy than the influence on investment choice. (2) In the investment scale stage, there are obvious motivations to seek markets, labor force and superior technology, but not natural resources. (3) In the investment scale stage, the South Korea's OFDI is more obviously attracted by the host country's superior political institutions, economic institutions and legal institutions, but not cultural institutions. Originality/value - The choices of variables and uses of model expand the theoretical basis and empirical method of OFDI research. The results of the empirical study also provide some reference for the transnational investment of South Korean MNEs and the investment policy formulation of the South Korean government.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2023.05a
• /
• pp.343-344
• /
• 2023

In order to expand its entry into not only the domestic construction market but also overseas global markets, it is necessary to secure technological competitiveness, and as a fundamental measure, it is necessary to increase the proportion of R&D investment and establish and revitalize R&D organizations. Therefore, the purpose of this study is to analyze construction sales and construction R&D investment for global construction companies in Korea and Japan, derive implications, and provide basic data for government policy establishment and global construction company strategy establishment. As a result of analyzing R&D investments in construction companies in Korea and Japan, it can be seen that Japanese construction companies have higher R&D investment costs compared to sales compared to Korea. In particular, the proportion of R&D investment continues to increase year-on-year, strengthening global competitiveness due to technology development. In addition, Japanese construction companies have established a technology research institute to discover and conduct future R&D research such as advanced IT, disaster prevention, and environment.