• Journal of Technology Innovation
• /
• v.28 no.4
• /
• pp.97-126
• /
• 2020

This study evaluated its potentials by quantitatively analyzing the national economic impact of the smart home-related industry, which is attracting attention as a core industry of the 4th industrial revolution. For the analysis, the smart home-related industries were classified into manufacturing and service industries through a literature review of the previous studies. Using the 2018 input-output table, this paper analyzed linkage effects between industries as well as spillover effects in the production, value-added, employment and job. As a result, the smart home manufacturing and service sectors showed a higher spillover effect in value-added than other industries in each industrial field. In the smart home industry, the spillover effects of manufacturing sector to service sector are larger than those of service sector to manufacturing sector. Moreover, it was confirmed that smart home industry was highly related to not only the technology-intensive industry, but also the service sector for smart cities, smart cars, Fin-tech, and etc. On the other hand, the smart home manufacturing sector is a final demanding industry with relatively higher backward linkage effect than forward linkage effect. In the smart home service sector, the forward linkage effect was relatively high compared with the backward linkage effect, indicating that it was an industry with a high supply function to other industries.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.25 no.6
• /
• pp.1571-1582
• /
• 2015

This paper suggests a methodology for linking technology classification of nongovernmental information security field and technology classification of cyber-warfare in national defense field. Based on this methodology, Multi-Attribute Utility Theory(MAUT) is applied for the purpose of selecting promising nongovernmental technology that is worthy of later introduction or development. After studying the result of the survey regarding the research progression plan of the selected promising technology, the following three facts are discovered: Firstly, the greater the social spillover effect, the greater the need for the government lead R&D. Secondly, among the spillover effects, the social aspect has the highest correlation with respect to the need for the government lead R&D, while the economical aspect and the technological aspect come in the second and the third place, respectively. Finally, according to the correlation analysis, the defense application and the technological importance do not affect the subject of investment or the subject of development. This indicates that even though the R&D for technology with high social spillover effect should be lead by the government, the subject of the investment or the development cannot be determined solely by factors such as military application and technological importance.

• Journal of Korea Technology Innovation Society
• /
• v.11 no.2
• /
• pp.314-334
• /
• 2008

This study aims to analyze the economic impact of IT industries to the Korean economy using IO tables from 1980 to 2003. As a result for the comparison with the economic impacts subject to 9 major industries, an importance of IT industries in Korean economy is likely to have increased very rapidly since 1980. And we also found that the production effect and spillover effect of Korean IT industry has steadily reduced whereas its price effect is still large.

• Journal of Technology Innovation
• /
• v.27 no.3
• /
• pp.113-142
• /
• 2019

Based on the Knowledge Spillover Theory of Entrepreneurship, this study analyzes the relationship between technological entrepreneurship and national competitiveness. It also analyzes how innovation-driven economy moderates this relationship. Using data on technological entrepreneurship, national competitiveness indexes and economy development stages from 83 countries over 2011 to 2014, this study finds that a ratio of technology-based start-ups in a country has a U-shaped relationship with national competitiveness. this study also finds that countries that are in the innovation-driven economy strengthen this relationship. This finding shows that a higher ratio of technology-based start-ups of a country does not have unconditional positive effects on national competitiveness, thus, related environments and conditions should be elaborately matched. In particular, this finding also implies that policies related to technology-based start-ups should have a proper fit with the level of economic development of the country so that the positive effects of technological entrepreneurship on national competitiveness can be strengthened.

• Journal of Sensor Science and Technology
• /
• v.27 no.2
• /
• pp.132-136
• /
• 2018

We report the development of a room-temperature hydrogen ($H_2$) gas sensor based on carbon nanotubes (CNT) yarn. To detect $H_2$ gas in room temperature, a highly ordered CNT yarn was placed on a substrate from a spin-capable CNT forest, followed by the deposition of a platinum (Pt) layer on surface of the CNT yarn. To examine the effect of the Pt-layer on the response of the CNT sensor, a comparative sensing performance was characterized on both the Pt deposited and non-deposited CNT yarn at room temperature. The Pt-CNT yarn yielded high response, whereas the non-deposited CNT yarn showed negligible response for $H_2$ detection at room temperature. Pt is a reliable and efficient catalyst that can substantially improve the detection of $H_2$ gas by chemical sensitization via a "spillover" effect. It can be efficiently utilized to increase the sensitivity and selectivity as well as to obtain fast response and recovery times.

• Journal of Convergence for Information Technology
• /
• v.10 no.4
• /
• pp.46-54
• /
• 2020

This study aims to develop and analyze the performance of a selective option straddle strategy based on forecasted volatility to improve the weakness of typical straddle strategy solely based on negative volatility risk premium. The KOSPI 200 option volatility is forecasted by the SVM model combined with the asymmetric volatility spillover effect. The selective straddle strategy enters option position only when the volatility is forecasted downwardly or sideways. The SVM model is trained for 2008-2014 training period and applied for 2015-2018 testing period. The suggested model showed improved performance, that is, its profit becomes higher and risk becomes lower than the benchmark strategies, and consequently typical performance index, Sharpe Ratio, increases. The suggested model gives option traders guidelines as to when they enter option position.

• Journal of Korea Technology Innovation Society
• /
• v.2 no.2
• /
• pp.201-218
• /
• 1999

The article contains an introduction of possibility of applying Multi-Attribute Utility Theory(MAUT) for priority setting of R&D projects. MAUT is compared with AHP, which is widely used recently. These two techuiques are applied to set priorities of R&D projects In a Government-funded Research Institute. Six criteria are chosen from consultation with decision makers. They are composed of 1) validity as representative projects, 2) possibility of resource mobilization, 3) spillover effect of developed technologies, 4) possibility of success, 5) scope of participation and 6) clarity of research goal. To set priorities of R&D projects, SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement) out of many MAUT methods are used to design the utility function and to determine the weights among criteria. The aggregation model is additive on the assumption the criteria are independent. AHP executes pairwise comparisons for criteria and alternatives. From the results of the case study, the results and theoretical characteristics are compared.

• Journal of Sensor Science and Technology
• /
• v.29 no.6
• /
• pp.394-398
• /
• 2020

In this paper, we report the sensing performance of H₂ gas sensors composed of Pd/carbon nanotube (CNT) buckypaper at room temperature. The CNT buckypaper was made using a simple filtration process and subsequently deposited with Pd as the sensing material. The sensitivity of the sensor increased with respect to the gas concentration. To investigate the effect of Pd thickness, Pd layers of different thickness were deposited on the buckypaper, and the response of the sensor was evaluated. The proposed sensor exhibits excellent sensing properties with optimized Pd thickness at room temperature (25℃). Pd nanoparticles significantly impact the sensitivity and selectivity of the sensor because of the spillover effect. In addition, the sensor is highly suitable for bendable and wearable devices owing to its structural flexibility.

• Journal of Sensor Science and Technology
• /
• v.20 no.5
• /
• pp.289-293
• /
• 2011

Networked $SnO_2$ nanowires were uniformly functionalized with Pd nanoparticles via ${\gamma}$-ray radiolysis. The Networked $SnO_2$ nanowires were fabricated through a selective growth method. The sensing properties of the Pd-functionalized $SnO_2$ nanowires were analyzed in terms of their response to $NO_2$ and CO gases. The response time and sensitivity of the sensors were significantly improved for $NO_2$ at lower temperatures by the Pd functionalization. The enhancement in the sensing properties is likely to be due to the spillover effect of the Pd nanoparticles.

• STI Policy Review
• /
• v.2 no.3
• /
• pp.35-44
• /
• 2011

Korea has rapidly increased R&D investment over the last few decades and the intensity of R&D investment is among the highest in the world; however, there are serious concerns about R&D performance and R&D efficiency. This study is to improve the economic assessment methodology regarding a feasibility study for national R&D programs that are thought to be one of the most prominent ways to enhance R&D efficiency. In order to improve the methodology of economic assessment, a few of important factors such as technical or market uncertainty, spillover effect, and R&D contribution ratio should be covered in the model. The focus of this article is technological and market uncertainty that has a close relation with strategic flexibility and utilization potential to increase the value of R&D programs. To improve the current linear and definitive R&D process, a new framework with strategic flexibility is suggested, in which the result of economic assessment that considers technological and market uncertainty is reflected in planning. That kind of feedback process is expected to enhance the value of the program/project as well as R&D efficiency.