• Journal of Technology Innovation
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• v.5 no.1
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• pp.15-43
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• 1997

This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol's performance using data on the 50largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index, we calculated inter-industry technological similarity using R'||'&'||'D expenditure data by industry and 1990 Input-output Table in korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols' business profile, inter-inustry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions. diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols' financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS(Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness in not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI(Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and VI are significant and positively related to the dependent variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or VI will increase TFP growth rate, but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.t.

• Environmental and Resource Economics Review
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• v.24 no.2
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• pp.411-433
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• 2015

This paper decomposed energy productivity changes across 14 Korean manufacturing industries into 5 components, technological catch-up(EC), technological progress(TC), and changes in labor-energy ratio(LC), capital-energy ratio(KC) and energy mix(EMC). Then we also figured out the possible relationship between energy productivity change and export growth rate across the industries. It is found that (1) technological progress, changes in capital-energy ratio and energy mix contribute to energy productivity growth in Korea during the sample period, (2) technological progress is the primary driving forces for energy productivity growth, (3) increase in export growth rate had a positive impact on energy productivity growth excepting a part of energy-intensive industries.

• Journal of Science and Technology Studies
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• v.15 no.1
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• pp.69-107
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• 2015

In this article, I try to understand the changing patterns of 'politics of expertise' by looking at the change of the citizens' opinion on '4 Rivers Project', particularly the change of citizens' trust in expert, through data analysis on 'Citizen Opinion Survey on Science and Technology'. Findings are as follows: The reliability of government and the pros side experts downed, on the other hand, the reliability of the opposite side experts and environmental groups have maintained or slightly increased. This shows the fact that '4 Rivers Project' is the field of political confrontation surrounding the expertise. The government decision-making process on '4 Rivers Project' can be examined from the perspective of 'the politics of expertise', in the sense that the process is related to the utilization of scientific and technological expertise-power surrounding the project feasibility. The facts that citizens are interested in scientific-technological and ecological issues which are largely affected by expertise, and they think that the 4 Rivers Project affects the their daily lives, are the result of rising 'scientific-technological citizenship'.

• Proceedings of the Korean Geotechical Society Conference
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• 2009.03a
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• pp.768-773
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• 2009

Measuring method being applied for off-shore works is performed by using data logger or manual measuring instrument with wiring the cable connected from the sensor up to the position where measuring is allowed.(upper part of embankment or marine structure) Measuring management by using existing measuring method may be acceptable on the condition that the ground deformation volume(vertical, horizontal) is generally minimal and the site condition is good. But loss of measuring instrument, sensor cable failure or cutting is taken place frequently due to significant change of ground behavior caused by an external force change(embankment, excavation) under very soft ground condition(N value below 0-4). In case of the marine works, in particular, loss rate of measuring instrument is highly represented due to the factors of working barge anchoring, constructional interference and natural disaster. In order to solve these problems, measuring management was performed with employing underground wireless system at the immersed tunnel site. Measuring data was obtained freely under the marine environment by using underground wireless communication and cable cutting potential by ground behavior could be reduced. Measuring cost savings and its installation convenience were maximized by way of off-shore tower installation or cabling and by minimizing constructional interference of off-shore working barge. This case of measuring management was accomplished successfully.

• New & Renewable Energy
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• v.1 no.3 s.3
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• pp.35-41
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• 2005

This paper analyses the economics of grid-connected photovoltaic systems. With the 2003 cost of photovoltaic systems, under prevailing capital market conditions, with a system lifetime of 30 years, and under the best climatic conditions, it appears that the cost of production of grid-connected electricity could be of 0.21 US $/kWh, and under medium climatic conditions, European locations, Switzerland, Japan and South Korean could be of 0.28$/kWh. If the lifetime if the system goes up, due to future technological improvements, to a very large value such as 50 years, these costs can be lowered by 10-20%. Competitiveness of grid-connected photovoltaic electricity, while it still cannot be taken for granted, is a possibility, especially if major technological advances further lowers the costs of photo cells and increases their lifetimes.

• Journal of Technology Innovation
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• v.15 no.2
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• pp.103-122
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• 2007

This paper examines the social development process of technological innovation for national emergency management. There are relatively few studies on how technological innovations are developed and deployed within social context. This paper investigates innovation processes within social contexts and the role of innovation actors such as citizens, government, and private sector. The the Real-time Disaster Management System (RDMS) is an innovation for citizens to transmit digital images and video clips on disaster toward professional organizations to respond to disasters. This case shows how an innovation in disaster management was developed by social interactions, how open innovation mechanism was deployed, and how end-users involved in innovation processes for disaster management. Finally this paper suggests implications to accelerate innovations for social welfare and social change.

• Korean System Dynamics Review
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• v.5 no.1
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• pp.73-97
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• 2004

This paper explores the relationship between technological characteristics within process innovation and selection of the firms of different organizational forms in the evolution of an industry. For this purpose, this paper develops a simulation model for industrial change that replicates dynamic competition for process innovation. The simulation analysis found the following causal relationship. First, the stronger innovation impact in terms of productivity jump tends to enlarge the productivity difference among the incumbent firms and increase the speed of productivity catch-up by the large diversified firms, Second, the possibility of entry, and eventual dominance by the large diversified firms increase when the innovation-productivity linkage is stronger and there is less cumulativeness in productivity determination. These results imply that technological characteristics are important factors that have influence on whether or not the large diversified firms can enter and succeed in an industry.

• Journal of Fisheries and Marine Sciences Education
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• v.20 no.3
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• pp.462-472
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• 2008

Education is a field that has tried to make use of the advantages of computers since they were introduced to the world. Intelligent Tutoring System and multimedia have become methods of teaching students of Computer Science, Education, Psychology, and Cognitive Science. Until now, they have been designed and produced only on the basis of a very specific domain and format. However, in the education field, most learners ask for integrated service that is practical, realizable, and sensitive to technological change. Therefore, in this study, we would like to present the technological and formal integration model as an ITS model which acknowledges changes in the fields of technology and education. As a technological integration model, the integration model of traditional Symbolic Artificial Intelligence and Artificial Neural Networks was presented. As a formal integration model, three integration models were presented according to (a) the process of learning diagnosis (b) learners' action behaviors (c) intelligence service respectively.

• Journal of Technology Innovation
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• v.7 no.1
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• pp.187-205
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• 1999

Traditional analyses of patent system have considered innovations in isolation and precluded the technological interrelationships between innovations. Common feature of cumulativeness during the process of technological change, however, brings the scope of patent protection into the major policy concern and currently occupies the central position in recent patent reform controversy. This study surveys the recent developments in the economic analysis of patent scope with corresponding introduction to the legal perspectives regarding patent scope. Although the issue of patent scope is complex in nature and depends crucially upon technological environment and the nature of innovations, this study can enlarge the understanding of the pros and cons of patent scope policy, which will become increasingly disputable in the forth-coming era of specialized patent court in Korea.

• Journal of Technology Innovation
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• v.15 no.2
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• pp.83-102
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• 2007

This study extends the existing method of Technology Forecasting with Data Envelopment Analysis (TFDEA) by incorporating a ranking method into the model so that we can reduce the required number of DMUs (Decision Making Units). TFDEA estimates technological rate of change with the set of observations identified by DEA(Data Envelopment Analysis) model. It uses an excessive number of efficient DMUs(Decision Making Units), when the number of inputs and outputs is large compare to the number of observations. Hence, we investigated the possibility of incorporating CCCA(Constrained Canonical Correlation Analysis) into TFDEA so that the ranking of DMUs can be made. Using the ranks developed by CCCA(Constrained Canonical Correlation Analysis), we could limit the number of efficient DMUs that are to be used in the technology forecasting process. The proposed hybrid model could establish technology frontiers with the efficient DMUs for each generation of technology with the help of CCCA that uses the common weights. We applied our hybrid model to forecast the technological progress of main battle tank in order to demonstrate its forecasting capability with practical application. It was found that our hybrid model generated statistically more reliable forecasting results than both TFDEA and the regression model.