• The Journal of Small Business Innovation
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• v.19 no.2
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• pp.53-68
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• 2016

Motivation and activities for technological learning, entrepreneurship, innovation, and creativity are driving forces of economic development in Asian countries. In the early stages of technological development, technological learning and entrepreneurship are efficient ways in which to catch up with advanced countries because firms can accumulate skills and knowledge quickly at relatively low risk. In the later stages of technological development, however, innovation and creativity become more important. This study aims to identify a) the factors (learning capabilities) that influence technological learning performance and b) barriers to enhancing innovation capabilities for the creative economy and organizations. The major part of this study is related to learning capabilities in the post-catch-up era. Based on a literature review and observations from Korean experiences, this study proposes a technological learning model composed of various influencing factors on technological learning. Three hypotheses are derived, and data are collected from Korean machine tool manufacturers. Intense interviews with CEOs and R&D directors are conducted using structured questionnaires. Statistical analysis, such as correlation and ANOVA are then carried out. Furthermore, this study addresses how to enhance innovation capabilities to move forward. Innovation enablers and barriers are identified by case studies and policy analysis. The results of the empirical study identify several levels of firms' learning capabilities and activities such as a) stock of technology, b) potential of technical labor, c) explicit technological efforts, d) readiness to learn, e) top management support, f) a formal technological learning system, g) high learning motivation, h) appropriate technology choice, and i) specific goal setting. These learning capabilities determine firms' learning performance, especially in the early stages of development. Furthermore, it is found that the critical factors for successful technological learning vary along the stages of technology development. Throughout the statistical and policy analyses, this study confirms that technological learning can be understood as an intrinsic principle of the technology development process. Firms perform proactive and creative learning in the late stages, while reactive and imitative learning prevails in the early stages. In addition, this study identifies the driving forces or facilitating factors enhancing innovation performance in the post catch-up era. The results of the preliminary case studies and policy analysis show some facilitating factors such as a) the strategic intent of the CEO and corporate culture, b) leadership and change agents, c) design principles and routines, d) ecosystem and collaboration with partners, and e) intensive R&D investment.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.204-214
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• 2017

This study aim to analyze the effect of the technology support program satisfaction on below ICT Small and Medium-sized Enterprises(below SMEs)'s technological performance. For the empirical analysis, we used the data collected from ICT SMEs technology support program conducted by ETRI - a government funded research institute. Among 153 beneficiaries, 141 companies participated in the survey and we used 102 of them for our analysis. Then, we used the mediation regression analysis. In our research model, we set the program satisfaction as a independent variable, the amount of technology support as a mediator variable and the technological performance as a dependent variable. Results show that program satisfaction has positive and significant impact on both amount of technology support and technological performance and amount of technology support has complete mediation effect on product innovation while has partial mediation effect on technological innovation. Our findings imply that more ICT SMEs technology support programs that satisfying the beneficiaries should be developed until the rest of ICT SMEs could become the hidden champions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.373-388
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• 2018

Recently, the importance of technological innovation has increased for securing competitiveness and for the survival of companies. On the other hand, obstacles that enterprises face during the course of technological innovation have diversified. Through prior studies, various innovation sources and government support systems are considered important factors in resolving these obstacles as well as securing technological innovation and competitiveness. However, these studies face criticism concerning various relationships between the influencing factors and the use of simple causal models. In this study, the effects on performance were analyzed based on a structural equation model. For analysis, 1,251 observed values were collected from the "2014 Korean Innovation Survey: Manufacturing Sector". Results found that obstacles to technological innovation in terms of fund, capacity and market promote the use of innovation sources and government support programs. On the other hand, various innovation sources and government support systems utilized by corporations have positively influenced technological innovation performance. As expected, among these obstacles, financial limitation had the greatest negative effect on innovation.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.399-407
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• 2022

Although Companies are forming cooperation and networks with various companies such as technology and R&D, but it is urgently necessary to secure multiple competencies of companies that can effectively adapt. This study investigated the effects of corporate strategic orientation, technological innovation capability, and organizational capability on corporate performance targeting SMEs located in the Daegu area. The survey was conducted from September 1 to November 30, 2021 for employees of Daegu companies, and a total of 183 cases were used for the final analysis. Looking at the results of the analysis, as a result of multiple regression analysis on Daegu companies, it was found that the strategic orientation, technological innovation capability, and organizational capability of managers, all independent variables, had a significant positive (+) effect on corporate performance. It can be seen that efforts should be made to improve education and R&D according to various competency bases and innovations because of the large impact on the manager's mind, the company's core technical competency, and the company's organizational performance. This study aimed to understand the importance of corporate strategic orientation, technological innovation capability, and organizational capability on corporate performance targeting relevant SMEs that can have a significant impact on national and regional economies.

• Journal of Technology Innovation
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• v.9 no.1
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• pp.149-165
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• 2001

This paper analyses characteristics of the numerical controller industry in market formation and the flow of information between users and producers and the characteristic of knowledge base of the industry and discuses the difficulties derived, from the characteristics, in accumulation of technological capability. In market formation between users and producers, the multi-layered market is not favorable to domestic producers in that lower end market is not large enough to provide cradle market to them which produce inferior quality and lower price than imported products. The credibility of the performance of a product is different to prove until a critical mass of products are sold. Therefore gaining market share is deterred by unproven credibility of the performance of the product. The flow of information between users and producers is limited. The flow of information on users environment through mass market to producers is essential for improving credibility of a product. The nature of knowledge base is tacit and the means of knowledge transmission is limited. Technological licensing and reverse engineering, which have been conventional means of knowledge transmission, are not useful in the numerical controller industry. These characteristics provide conditions of vicious circle in accumulation of technological capability of the numerical controller industry. This paper argues that these characteristics of the industry challenge existing approach to R&D management and framework of science and technology policy.

• Journal of Power Electronics
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• v.17 no.1
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• pp.76-87
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• 2017

Finite-set predictive current control (FS-PCC) is advantageous for power converters due to its high dynamic performance and has received increasing interest in multilevel inverters. Among multilevel inverter topologies, the cascaded H-bridge (CHB) inverter is popular and mature in the industry. However, a main drawback of FS-PCC is its large computational burden, especially for the application of CHB inverters. In this paper, an FS-PCC method based on a deadbeat solution for three-phase zero-common-mode-voltage CHB inverters is proposed. In the proposed method, an inverse model of the load is utilized to calculate the reference voltage based on the reference current. In addition, a cost function is directly expressed in the terms of the voltage errors. An optimal control actuation is selected by minimizing the cost function. In the proposed method, only three instead of all of the control actuations are used for the calculations in one sampling period. This leads to a significant reduction in computations. The proposed method is tested on a three-phase 5-level CHB inverter. Simulation and experimental results show a very similar and comparable control performance from the proposed method compared with the traditional FS-PCC method which evaluates the cost function for all of the control actuations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.10
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• pp.4873-4888
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• 2018

A joint blind parameter estimation algorithm based on minimum channel stability function aimed at the non-cooperative high-order modulated paired carrier multiple access (PCMA) signals is proposed. The method, which uses hierarchical search to estimate time delay, amplitude and frequency offset and the estimation of phase offset, including finite ambiguity, is presented simultaneously based on the derivation of the channel stability function. In this work, the structure of hierarchical iterative processing is used to enhance the performance of the algorithm, and the improved algorithm is used to reduce complexity. Compared with existing data-aided algorithms, this algorithm does not require a priori information. Therefore, it has significant advantage in solving the problem of blind parameter estimation of non-cooperative high-order modulated PCMA signals. Simulation results show the performance of the proposed algorithm is similar to the modified Cramer-Rao bound (MCRB) when the signal-to-noise ratio is larger than 16 dB. The simulation results also verify the practicality of the proposed algorithm.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.149-161
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• 2012

The current environment of technological and competitive changes influences not only the business R&D environment but also government driven national R&D strategies. Open innovation has now become an important paradigm that is replacing the outdated paradigm of closed innovation. Many companies and nations have been increasing R&D investment because R&D has been considered a driving force for national and corporate competitive advantage. The purpose of this paper is to evaluate and compare the performance of R&D focused on open innovation according to scientific and technological outputs which is based on paper publications, patents and etc. Comparisons should not be only based on the quantity but also on the quality of the output. This paper shows that it is possible to develop DEA models that utilize the Analytical Hierarchical Process in order to transform the qualitative index into a quantitative index. Hence, the relative efficiency for R&D organizations is obtained based on both quantity and quality outputs and subsequently provides comprehensive and realistic methods for decision makers to identify levels of project efficiency.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2434-2453
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• 2019

To improve the separation performance of time-frequency overlapped radar and communication signals from a single channel, this paper proposes an effective separation method based on an improved empirical wavelet transform (EWT) that introduces a fast boundary detection mechanism. The fast boundary detection mechanism can be regarded as a process of searching, difference optimization, and continuity detection of the important local minima in the Fourier spectrum that enables determination of the sub-band boundary and thus allows multiple signal components to be distinguished. An orthogonal empirical wavelet filter bank that was designed for signal adaptive reconstruction is then used to separate the input time-frequency overlapped signals. The experimental results show that if two source components are completely overlapped within the time domain and the spectrum overlap ratio is less than 60%, the average separation performance is improved by approximately 32.3% when compared with the classic EWT; the proposed method also improves the suitability for multiple frequency shift keying (MFSK) and reduces the algorithm complexity.