• Journal of Engineering Education Research
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• v.13 no.6
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• pp.111-121
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• 2010

The purpose of this study is to develop customized technological leadership camp programs in order that engineering students can be techno-leaders in the future. The camp programs were developed by systemic instructional design methodology. A framework of technological leadership was developed through literature reviews and cases analysis, and key competencies on technological leadership were drawn through needs analysis using importance-performance analysis. The participants for needs analysis were 202 engineering students in A university and 22 managers and directors in the companies cooperated with A university. Camp programs focused on key competencies on technological leadership were developed: basic course and advanced course. The programs modified through twice experts committee.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.3
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• pp.1-16
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• 2013

The purpose of study is to promote the development of medium size enterprises(MSE) by analyzing the causal relationship between technology acquisition strategy and firms' performance. In this study, we use the number of intellectual property, sales growth rates, and return on sales as proxy variables of technological and financial performances. This study includes internal R&D investment, cooperative R&D with academy, foreign technologies transferred, and their interaction effects as the independent variables. The results of study are as follows. Frist, R&D Investment, Foreign Technologies Transferred and their interaction effects are positively influence on technological performance. Second, Cooperative R&D with academy and the interaction effects of R&D Investment and Cooperative R&D with academy are negative influence on technological performance. On the other hand, all of the main independent variables and the interaction effects have non-significant relationships with financial performances. These results imply that technological innovation efforts of MSEs do not effectively increase their financial performances. Furthermore, technological supports of government and academy on MSEs' innovation do not effectively increase their innovation outputs. Finally, this study discussed its theoretical and practical implications and the limitations of the study.

• Journal of Korea Technology Innovation Society
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• v.22 no.3
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• pp.416-445
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• 2019

This study aims at examining the relationship among entrepreneurial orientation, absorption capability, alliance capability and cooperation performance in technological cooperation between SMEs and government-funded R&D Institutes. For empirical analysis, the study conducted a survey on total 2,895 SMEs participating in the technological cooperation programs operated by government-funded R&D Institutes, and collected 332 survey responses. Data were analysed using a structural equation model. Empirical results show that entrepreneurial orientation, absorption capability, and alliance capability influenced the performance of technological cooperation. In addition, alliance capability has a significant effect on absorptive capacity. In order for the technology cooperation between SMEs and government-funded research institutes being successful, efforts are needed to secure companies' entrepreneurial orientation, absorption capability and alliance capability that has the capabilities that SMEs needs for technological cooperation.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.127-141
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• 2013

In this study, we analyzed causal relationships between technology orientation and technological performance, between technological performance and commercialization speed on the government -funded R&D projects in 2009 for searching the cause of the big gap between technological success rate and commercialization success rate. In the result, technology orientation affected negatively on the technological performance, but the technological performance affected positively on the commercialization speed. These results mean that low technology oriented projects are easy to reach the selling step of products faster but they are not easy to attain a balanced income and outgo in contrast to the firms' own R&D. we found it was caused by a defect in the government's R&D support and management system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.40
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• pp.119-136
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• 1996

With new competitive environments, innovation is more necessary to survive severe competitions than ever. However, most Small and Medium(SM) businesses are used to be short of professional staffs, money and equipments for performing various innovations(ie., technological or administrative innovation, product development or Process development, and radical or incremental innovation). Many students have suggested that incremental innovation is more adequate than radical innovation in SM business. The purpose of this paper is to find antecedent factors In promote employees' Incremental Innovation Activities(IIA), In analyse moderating effects of ability and attitudes, and to test the difference of IIA-level by ability(or attitudes) and 11 independent factors. Each IIA-level by 5 variables of 11 independent variables-job variety, importance, identity, communication, performance dependency-is found to be significantly different in high-ability group affirmative-attitude group.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.1
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• pp.197-209
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• 2010

Supply Chain Management have been introduced and used as strategic weapon for many companies. Large investments in the SCM was made, but many companies are not fully getting the performance from the systems. The purpose of this study is to find the determinants of SCM difussion and performance in the perspective of Innovation and Information technology Acceptance. In developing the research model, The model consists of eight independent variables(Management support, Decision Making concentration, IS strategy, training education, relative advantage, technological compatibility, task compatibility, SCM cost), two moderator variables(interorganizational and intraorganizational diffusion), three dependant variables(efficiency, effectiveness, strategic advantage).

• Journal of Digital Convergence
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• v.5 no.1
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• pp.35-45
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• 2007

High tech companies' strategies are divided into four parts, Market Pull, Technology Push, Market-Driven, and Driving Markets. Market Pull strategy means to search market-needs, chances or new industries with technological chance. Technology Push means to create new market by new technology. While Market driven companies follow market changes, Driving Market companies make or change their markets. This study analyzes how companies recognize their market situations based on technology and which business inclination paths are selected for success. And we would like to know there are performance distinctions based on market differentiation strategies.

• Proceedings of the Technology Innovation Conference
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• 1996.12a
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• pp.265-295
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• 1996

This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol′s performance using data on the 50 largest 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-industry 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 is 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 f[ are significant and positively related to the deepened 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 W 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.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.377-386
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• 2013

The purposes of this study is to examine the effect of fitness Among Characteristics of CEO, Company's innovation and Management Control on Organization Performance. CEO characteristics are investigated by the risk-taking propensity, need for achievement. Company's Innovation are measured by product innovation, technological innovation. Management control are applied by action control and result control. Organization performances are analyzed by internal performance, growth performance, financial performance. the research methodology applied in this paper is contingency theory by Drazin and Van de Ven(1985) - selective approach, Interaction approach, system approach. This paper was applied by the Three way interaction term among CEO characteristics, Company's Innovation and Management control to analyze the influences to the organization performances. As a result of this paper, there are the differences between Two way interaction terms or three way interaction terms to affect the organization performances. this paper can confirm the desirable combinations between two or three variables(CEO characteristics, Company's Innovation and Management control) to affect significantly to the particular organization performance.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.818-837
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• 2018

Technological innovation has inherent difficulties, largely due to the uncertainties of technology. Thus, the forecasting methodology to reduce the risk of uncertainty in the innovation process has been presented both in quantitative and qualitative fields. On the other hand, big data and artificial intelligence have attracted great interest recently, and deep learning, which is one of the algorithms of AlphaGo, is showing excellent performance. In this study, deep learning methodology was applied to the prediction of innovation performance. To make the prediction model, we used KIS 2016 data. The input factors were importance of information source and innovation objectives and the output factor was innovation performance index, which was calculated for this study. As a result of the analysis, it can be confirmed that the accuracy of prediction is improved compared with the previous studies. As learning progressed, the degree of freedom of prediction also improved.