• Asian Journal of Innovation and Policy
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• v.3 no.1
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• pp.25-49
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• 2014

We wanted to show the different group dynamics of factors for success and failure cases for technology commercialization in small technology-based firms. Existing studies are based on product level, project level, division level or firm level. We deal with technology level, and at small-technology-based firms. This is a longitudinal case study based on 8 cases from Korea. Our study on technology level is a first trial in success and failure studies unlike all existing studies. As a first step, we introduced new categories and factors such as technology attributes and CEO reflecting data, and especially a new concept of launch readiness level. Finally, we adopted correspondence analysis to show the group dynamics. The results are as follows; Technology factors are the most important factors. Second, resource-based factors are more critical in failure cases than success cases and technology factors are more critical to success.

• Journal of Korea Technology Innovation Society
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• v.8 no.2
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• pp.650-676
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• 2005

It is important to identify the mid and long-term strategic technologies and evaluate technology level for the establishment of national R&D policy to upgrade technology level in Korea. This paper summarizes the result of technology level evaluation for 99 key technologies of 'National Technology Road Map', which consists of 5 visions, of Korea. The technology level, the technological gap between Korea and world-top country, the role of government to upgrade technology level, etc. were investigated by the survey (total 1,067 respondents) and the interview with experts related to key technologies. The average technology level of Korea was $65.1\%$ of that of world-top country and average technological gap was 5.8 years. The technology level of vision I 'Building an Information-Knowledge-Intelligence Society' was $71.6\%$ and highest among 5 visions. The highest technology level among 99 key technologies was $85.6\%$ for 'Digital Broadcasting Technology' and the lowest was $20\%$ for 'weather Control Technology'. The major reasons of technological gap were investigated as the lack of R&D personnel ($23.8\%$), the shortage of R&D funds ($17.8\%$), and the insufficiency of basic research ($15.4\%$), in sequence. The average technology level of USA was evaluated to highest in the world. It was presented that the technological power of China increased rapidly in the expert interview. The result of technology level evaluation would be primary information for various national S&T planning, such as S&T basic plan, S&T foresight, technology road map, etc.

• Journal of Korea Technology Innovation Society
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• v.2 no.3
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• pp.61-75
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• 1999

This study is focused on acquiring through understanding of the S&T level of Korea to serve as an important basis for the government policy-making and to make available basic information for promoting the National R&D Program effectively. the survey of S&T level is a comparison of the highest level in the world to that of korea in 3 digit of the technology tree table. And survey of technological gaps is determined by year which Korea is able to reach the current level of the advanced countries. The results of the surveys should be applied to strategic technology planning for solving or nar-rowing the technology gap and the major criteria for resources allocation in national R&D Pro-grams. The results of he surveys should be the fundamental information for establishing strategic S&T policy in government.

• Journal of Computing Science and Engineering
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• v.9 no.1
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• pp.20-28
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• 2015

General purpose computing applications have not yet been thoroughly explored in procedure level speculation, especially in the light-weighted profiling way. This paper proposes a light-weighted profiling mechanism to analyze speculative parallelism characterization in several classic general purpose computing applications from SPEC CPU2000 benchmark. By comparing the key performance factors in loop and procedure-level speculation, it includes new findings on the behaviors of loop and procedure-level parallelism under these applications. The experimental results are as follows. The best gzip application can only achieve a 2.4X speedup in loop level speculation, while the best mcf application can achieve almost 3.5X speedup in procedure level. It proves that our light-weighted profiling method is also effective. It is found that between the loop-level and procedure-level TLS, the latter is better on several cases, which is against the conventional perception. It is especially shown in the applications where their 'hot' procedure body is concluded as 'hot' loops.

• Korean Journal of Remote Sensing
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• v.17 no.3
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• pp.253-273
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• 2001

In this review article, we produce a technology tree in the earth observation by remote sensing, which is the Level I technology in the tree. To define Level II technologies, we create a two-dimensional matrix of technologies viewed from methodology and application viewpoints. Consequently the following fields are selected: reception-archiving, atmosphere, ocean, land, GIS, and common technology. For each Level II technology, we extract half a dozen Level III and about 20-30 Level IV technologies. For each Level IV technology, we review the status of domestic research and the approaches for acquiring deficient technology in Korea. Also we survey foreign institutions specializing in the deficient technologies and the time when the deficient technologies are needed. Furthermore we assign priority technologies from the viewpoints of public need and economic benefits. The information given in this article would help understand and collaborate among different disciplines, be a useful guide to a beginner to remote sensing, and assist policy making.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.42
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• pp.67-72
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• 1997

How to measure technological level has concerned research analysists for a long time. Many methods exist, and they all have their advantages and disadvantages according to how they are used. The purpose of this study is to develop qualitative indicator to measure industrial technological level, in particular manufacturing capacity. In this indicator, the two basis of technology classification and the concept of the technology competitiveness were introduced. First, the types of technology are classified as three classes : material technology, processing technology and product technology. Second, the characteristics of technology are divided into the three categories : core technology, peripheral technology and sprouting technology On this basis, the qualitative technological level was made in terms of the competitiveness of it's manufacturing capacity. This study should be a practical approach for application of measuring of technological level.

• Korea Trade Review
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• v.47 no.6
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• pp.247-267
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• 2022

Since the Korea-Vietnam FTA was signed in 2015, trade between the two countries has increased rapidly, accounting for 6.8% of Vietnam's exports and 17.9% of its imports in 2020. The two countries show differences in import and export items. Vietnam has a high export ratio of agri-food products or products with the low-middle level of technology, while Korea has a high export ratio of products with the upper-middle level. The purpose of this study is to present implications by analyzing changes in trade competitiveness between Vietnam and Korea by technology level (2002-2020). For this purpose, statistics from UN Comtrade were used, and methodologies such as market share, Export Market Share (EMS), Trade Specialization Index (TSI), Intra-Industrial Trade Index (IIT), Revealed Comparative Advantage (RCA), and BCG Matrix were used. The results of the study are as follows. First, when looking at Vietnam's trade structure with South Korea by technology level, it was analyzed that the trade deficit widened as it showed a competitive disadvantage in high-tech, ICT, middle- and low-level technology items, excluding low-end technology items. Second, in terms of market share, the market share of Vietnamese products in the Korean market is continuously increasing, while the Korean market share in Vietnam is gradually decreasing from 2017. Third, Vietnam's export competitiveness to Korea by technology level shows that low-level technologies are competitive, but they are inferior in competitiveness in all other technology level, and especially in areas with high technology level, the level of inferiority is high. In conclusion, the trade relationship between Vietnam and Korea has maintained a mutually complementary rather than competitive relationship, which is expected to continue in the future.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.143-164
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• 2007

This paper investigates key factors on the utilization and improvement directions of national-level technology roadmaps for technology strategies. There are increasing interest in technology roadmaps to respond to uncertain environment and explore some possible directions of future technology development. To challenge the catching-up status in innovation, technology roadmap have been widely developed both in private and public sectors. In spite of recent increasing adoption of technology roadmap, there are few empirical studies on the level of utilization and improvement directions of technology roadmap with the viewpoints from science and technology experts in national innovation system. Most of studies on technology roadmaps have argued normative recommendations and made suggestions based on case studies. This paper examines the key factors on the utilization and future direction of national-level technology roadmaps. Based on survey from 320 experts in science and technology area, this paper analyzes the level of utilitation and future improvements of national level technology roadmap. The level of technological capabilities and participation experience on the roadmap development process have significant impact on the utilization of national-level technology roadmaps. Also there are three future directions to increase the usage of national-level technology roadmaps. The national-level technology roadmap should be improved as a more systematic processes including planning, progress, and outputs. Finally, this paper suggests some implications and future guidelines for national-level technology roadmaps.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.2
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• pp.112-119
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• 2014

A force support system is composed of capital components such as combat equipments, supplies and so on to enable constant fighting power capability. Private technology level evaluation is on the rise as an important spin-on method in force support systems, which requires 92% of total munitions requirements, to obtain superior private technology. The evaluation of the private sector technology level on Korean force support systems has been conducted for the first time as follows: this research chose 38 items to be acquired within 2-3 years and grouped either identical or similar technology among those 38 items. A technology evaluating method was established based on the analysis of domestic and foreign technology level evaluations. Evaluation was performed by a Delphi survey from 180 private and military experts. To obtain an objective index and raise political availability, a technology system map and standard document were developed and applied to all 38 items.

• The Journal of Fisheries Business Administration
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• v.46 no.3
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• pp.103-118
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• 2015

The purpose of this paper is to discuss possibilities of applying growth curve models, such as Logistic, Log-Logistic, Log-Normal, Gompertz and Weibull, to three specific technology areas of Fishery Science and Technology in the process of measuring their technology level between Korea and countries with the state-of-the art level. Technology areas of hazard control of organism, environment restoration, and fish cluster detect were selected for this study. Expert panel survey was conducted to construct relevant panel data for years of 2013, 2016, and a future time of approaching the theoretical maximum technology level. The size of data was 70, 70 and 40 respectively. First finding is that estimation of shape and location parameters of each model was statistically significant, and lack-of-fit test using estimated parameters was statistically rejected for each model, meaning all models were good enough to apply for measuring technology levels. Second, three models other than Pearl and Gompertz seemed very appropriate to apply despite the fact that previous case studies have used only Gompertz and Pearl. This study suggests that Weibull model would be a very valid candidate for the purpose. Third, fish cluster detect technology level is relatively higher for both Korea and a country with the state-of-the-art among three areas as of 2013. However, all three areas seem to be approaching their limits(highest technology level point) until 2020 for countries with the state-of-the-art. This implies that Korea might have to speed up her research activities in order to catch up them prior to 2020. Final suggestion is that future study may better apply various and more appropriate models respectively considering each technology characteristics and other factors.