• Journal of Technology Innovation
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• v.6 no.2
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• pp.1-31
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• 1998

This paper summarizes the research results on the structural characteristics of the Korean innovation system. The Korean NIS has functioned well in the foreign technology imitation stage. However, there are many drawbacks to advancing to the stage of technological innovation. Weak infrastructure and linkages among technological institutions are detrimental factors that affect technological innovation. The immobility of professional manpower is a serious bottleneck to knowledge diffusion. Especially, the inactivity of university research prevents universities from being able to play a relevant role in the national innovation system. The drawbacks of the Korean innovation system are mainly associated with the public sector and social culture. Weak linkages among organizations are due to the lack of trust among people and organizations, and absence of demand-oriented management in public institutes. Weaknesses in technological infrastructure, university research and the social and cultural environment are tile result of the lack of government will. However, the private sector was evaluated as being relatively active in innovation. Particularly, Chaebols deployed aggressive strategies to acquire their own technological capabilities. The findings of this study suggest that to strengthen the Korean innovation system, the government continues to be important, as in the past, in order to shape social institutions and a culture that is learning friendly, diffusion friendly and, consequently, innovation friendly.

• Journal of Information Technology Services
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• v.13 no.3
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• pp.1-23
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• 2014

This study investigates the effect of technological and environmental factors on the cloud computing assimilation, which then affects firms' performance. The technological characteristics include cost-savings, technology use advantage, technology infrastructure, and technology compatibility while environmental characteristics include partner cooperation, competitive pressure, environmental uncertainty, and business agility. Furthermore, we examine inter-organizational trust as a moderating effect between environmental characteristics and cloud computing assimilation. Data from a sample of 219 firms show the significant impacts of proposed variables with exception of technology infrastructure and technology compatibility. The findings also show that inter-organizational trust has a significant moderating effect in all paths except the one between business agility and cloud computing assimilation. The implication of this study suggests a theoretical framework explaining cloud computing assimilation and performance within inter-organizational environment.

• Industrial Engineering and Management Systems
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• v.14 no.1
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• pp.58-72
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• 2015

A primary concern of national R&D plans is to encourage technological development in private firms and research institutes. For effective R&D planning and program support, it is necessary to assess technological impacts that may exist both directly and indirectly among technology areas within the whole technology system; however, previous studies analyze only direct impacts among technologies, failing to capture both direct and indirect impacts. Therefore, this study proposes an approach based on decision-making trial and evaluation laboratory (DEMATEL) to identifying specific characteristics of technology areas, such as technological impact and degree of cause or effect (DCE). The method employs patent co-classification analysis to construct a technological knowledge flow matrix. Next, to capture both direct and indirect effects among technology areas, it incorporates the modified DEMATEL process into patent analysis. The method helps analysts assess the technological impact and DCE of technology areas, and observe their evolving trajectories over time, thereby identifying relevant technological implications. This study presents a case study using Korean patents registered during 2003-2012. We expect our analysis results to be helpful input for R&D planning, as well as the suggested approach to be incorporated into processes for formulating national R&D plans.

• Journal of Engineering Education Research
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• v.25 no.6
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• pp.103-113
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• 2022

The purpose of this study is to correlation analysis between technological problem-solving traits and engineering design competency. To this end, correlation analysis and regression analysis between technological problem-solving traits and engineering design competency were used to analyze the relationship between each other. To collect data on individual characteristics, technological problem-solving traits, and engineering design competency, a survey was conducted with university students. As a result of the analysis, there was no difference in engineering design competency by gender, but there was a difference in technological problem-solving traits. There was no difference in technological problem-solving traits by major, but there was a difference in engineering design competency. As a result of correlation analysis, the correlation was found. In the case of regression analysis, a statistically significant result was found in the problem-solving trait domain, and the regression analysis model was found to be suitable. The results of the analysis of differences in engineering design competency according to technological problem-solving traits showed that the effective problem solvers were significantly higher.

• Convergence Security Journal
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• v.15 no.5
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• pp.97-105
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• 2015

Technology Security, especially in knowledge-intensive society, is becoming the most important organizational activity for the long-term success of a firm. However, there is not sufficient empirical research of activities of technology securities and business performance. This is one of the reason why Korean firms are reluctant to invest their resources to the technology security. We have tried to empirically analyze the relationship between a market and technological characteristics, which is one of the important business environmental characteristics and the activities of technology securities of Korean business firm by taking three hypotheses related to this research and investigating 209 Korean firms. According to the statistical research, results of the analyses suggest that the market and technological characteristics have positive impact on the activities of technology securities. Also the activities of technology securities have positive impact on the performance of technology security. More specifically, the results suggest that the relationship between the competitiveness of market and technological excellency and the activities of technology securities is supported statistically. But, the reverse relationship between the easiness of market entrance and the activities of technology securities is supported statistically. Also, there is no moderating effect of firm size between the relationship between a market and technological characteristics and the activities of technology securities. Finally, the relationship between the activities of technology securities and the risk of technology leakage is supported statistically.

• 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.

• Journal of the Korean Operations Research and Management Science Society
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• v.3 no.1
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• pp.57-67
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• 1978

This paper reviews various models of technological innovations at different levels: project level and productive segment level. Firstly, it examines a number of significant factors influencing the success and failure of technological innovation at project level. Specifically, the role and characteristics of technical information for the success of innovation is analyzed. Secondly, the paper discusses in detail the relationship between technological innovation and the evolution of a firm. Product and process innovations are analyzed in accordance with a three stage model; the stages are performance maximizing (uncoordinated), sales maximizing (segmental) and cost minimizing (systemic). Various implications of the model are presented in terms of the business policy variables such as diversification, standardization, productivity improvement, marketing, etc. The applicability of the model to a developing country is sought and a few suggestions to develop new model of technological innovations in LDC are discussed.

• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.1
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• pp.120-134
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• 1991

Various technological forecasting models have been proposed to represent the time pattern of technological growths. Of six such models studied, some models do significantly better than others, especially at low penetration levels, in predicting future levels of growth. Criteria for selecting an appropriate model for technological growth model are examined in this study. Two major characteristics were selected which differentiate the various models ; the skew of the curve and the underlying assumptions regarding the variance of the error structure of the model. Although the use of statistical techniques stil requires some subjective input and interpretations, this study provides some practical procedures in the selection of technological growth models and helps to reduce or control the potential source of judgmental error inconsistencies in the analyst's decision.

• Journal of Korea Technology Innovation Society
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• v.9 no.1
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• pp.149-174
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• 2006

Although conceptual and empirical researches on the technological learning is increasing rapidly, a few empirical researches of technological learning processes have been undertaken, taking into account a reality of learning processes of a firm. In order to analyze the learning processes of technological knowledges, based on integrative organizational learning theory, this study investigated technological learning processes by analyzing 13 technology development projects of one company with case study research design. Results of the empirical analyses suggested two taxonomy of technological learning processes. First are tour group of technological learning processes derived by the dimension of flow of cognitive and behavioral learning which is explained by the technological competency level of a firm. The other is two group of technological learning processes derived by the dimension of relative difficulty of cognitive and behavioral learning which is explained by the technology characteristics. Finally, the managerial implications for effective management of technological learning and limitations are discussed.

• STI Policy Review
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• v.2 no.2
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• pp.1-9
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• 2011

Innovation Policy has evolved to solve social problems through technological innovation. Industrial innovation policy promotes technological innovation so that it consolidates industrial competitiveness and aims at economic growth; however, societal innovation policy promotes technological innovation in the social service domain to improve the quality of life and strengthen sustainability. A different policy regime is required because the objectives and directions of societal innovation policy are different from those of industrial innovation policy. This report consolidates the concepts and characteristics of societal innovation policy that suggest policy options.