• Journal of Korea Technology Innovation Society
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• v.14 no.spc
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• pp.1187-1208
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• 2011

This research aims to propose a systematic approach to identify emerging technology-product portfolio for small and medium enterprises (SMEs). Firstly, operational definition of emerging technology for SMEs is presented. Secondly, research framework is suggested and case study to show usefulness of the newly proposed framwork is analyzed. In detail, reference patent set which represent company's capabilities and business area are constructed. The research constructs patent data set for bibliometric analysis using reference patent set and citing patents to 2nd level. Clustering (expert judgement) and keyword based bibliometric approach are used. Then, cluster activity index (AI) and relevance index (RI) comparing with reference patent set are estimated. With emerging technology-product portfolio using AI and RI, a firm can identify emerging technology-product area and monitoring area.

• Journal of Pharmaceutical Investigation
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• v.37 no.6
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• pp.329-338
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• 2007

The quality assurance issue of drug products is more important than the general product because it is highly related to the human health and life. In this reason, the regulatory guide lines have continuously been intensified all around the world. In order to achieve effective quality assurance and real-time product release (RTPR) of drug products, process analytical technology (PAT), which can analyze and control a manufacturing process, has been proposed from the United States. With the PAT process, we can obtain significant process features of materials, quality characteristics and product capabilities from a raw material to the final product in the real-time procedure. PAT can also be utilized to process validation using information system that can analyze the risk of drug products through out an entire product life-cycle. In this paper, we first offered a new concept for the off-line process design methods to prepare the improved quality assurance restrictions and a real-time control method by establishing an information system. We also introduced an automatic inspection system by obtaining surrogate variables based on drug product formulations. Finally, we proposed an advanced PAT concept using validation and feedback principles through out the entire life-cycle of drug product manufacturing processes.

• Journal of Technology Innovation
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• v.3 no.1
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• pp.1-34
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• 1995

Since 1982, the government of Korea has actively promoted vertical cooperative R&D programs between government-sponsored research institutes (GRIs) and private firms. A number of firms participated in the programs because cooperative R&D could lower the risk and could contribute to rapid commercialization of many technologies. This paper examines the effectiveness of vertical cooperative R&D projects by the modes of cooperation between GRIs and industrial firms, and analyzes the performance of participating firms' technology sourcing strategies for commercial utilization of cooperative R&D results at the project performed from 1982 to 1989 under the Government-Industry Cooperative R&D Program sponsored by the Ministry of Science and Technology(MOST) in Korea. The cooperative R&D projects are classified into 4 groups by two criteria, i.e., the level of participation of firms, and the breadth of cooperation. The findings suggest that firms should actively participate in cooperative R&D projects. In addition, in order to enhance commercial success, cooperation between GRIs and industrial firms should not be limited to R&D stage only. The breadth of cooperation should be extended to commercialization stage. Small- and medium-sized firms participating in vertical cooperative R&D projects in Korea usually lack internal technological capabilities that are needed to commercialize the results of cooperative R&D. Three different technology sourcing strategies - exclusive cooperative R&D strategy, in-house development augmented cooperative R&D strategy, and licensing-in supplemented cooperative R&D strategy - are empirically derived through cluster analysis of the relative usage rates cooperative R&D and of other supplementary technology acquisition methods. The findings suggest that the firms participating in vertical cooperative R&D projects should try to utilize other supplementary technology acquisition methods in order to achieve commercial utilization of the vertical cooperative R&D results.

• Journal of Korea Technology Innovation Society
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• v.22 no.3
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• pp.340-361
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• 2019

This study analyzes the technological structure of artificial intelligence (AI) and technological capabilities of AI companies based on patent information. 2589 AI patents registered in USPTO from 2007 to 2017 were collected and analyzed by the Latent Dirichlet Allocation (LDA) to derive 20 AI technology topics. Analysis of technology development trends by AI technology reveals that visual understanding, data analysis, motion control, and machine learning are growing, while language understanding and speech technology are sluggish. In addition, we also investigated leading companies in each sub-field of AI as well as core competencies of global IT companies. The findings of this study are expected to be fruitfully used for formulation and implementation of technology strategy of AI companies.

• 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.

• Electronics and Telecommunications Trends
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• v.36 no.1
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• pp.89-98
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• 2021

The Ministry of National Defense aims to create an environment in which transparent and reasonable defense policies can be implemented in real time by establishing the vision of smart defense innovation based on the Fourth Industrial Revolution and promoting innovation in technology-based defense operation systems. Artificial intelligence (AI) based defense technology is at the level of basic research worldwide, includes no domestic tasks, and involves classified military operation data and command control/decision information. Further, it is needed to secure independent technologies specialized for our military. In the army, military power continues to decline due to aging and declining population. In addition, it is expected that there will be more than 500,000 units should be managed simultaneously, to recognize the battle situation in real time on the future battlefields. Such a complex battlefield, command decisions will be limited by the experience and expertise of individual commanders. Accordingly, the study of AI core technologies supporting real-time combat command is actively pursued at home and abroad. It is necessary to strengthen future defense capabilities by identifying potential threats that commanders are likely to miss, improving the viability of the combat system, ensuring smart commanders always win conflicts and providing reasonable AI digital staff based on data science. This paper describes the recent research trends in AI military staff technology supporting commander decision-making, broken down into five key areas.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.145-153
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• 2022

This study is an empirical analysis of the major factors influencing the globalization level of Chinese public enterprises. Based on previous research, we conducted a regression analysis using the transnational index as a dependent variable and export tax refund, exchange rate, human resources, innovation ability, asset management ability, loan ability, corporate development stage, global deployment ability, etc. as independent variables. As a result of the empirical analysis of this study, it was found that export refund (E_tax) and exchange rate (E_rate) have a statistically significant effect on the external influencing factors of globalization. Human resource capabilities (Edu, O_hunan), innovation capability (R&D), and financing capability (Finance) were found to be important internal influencing factors for the globalization of public enterprises. The role of the government in establishing the strategy of SOEs should be maintained at the level of guidance and it should provide guidance so that the autonomy of SOEs is not restricted as the role of the government is separated from the government's compulsory management and supervisory functions, leading to excessively compulsory management.

• Korean Business Review
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• v.19 no.2
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• pp.183-206
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• 2006

Recently, the notion of "increasing returns" has been popular not only in academia but also in industries. This notion has been drawn from prior research on network effects, which showed that the market evolution would lock in to a dominant technology. However, the long history of technological change has rarely shown the possibility of lock-in to an inferior technology. How could the market with network effects make transition between incompatible technologies regimes by escaping the lock-in? This paper analyzes the effectiveness of R&D and technological choice to investigate the sources of the dynamic capabilities in the presence of network effects and uncertain technological progress. Why does the market sometimes work against a radical technology, and why, at other times, does the market operate in favor of it? This study is to address this question by modeling the situation of two competing technologies in the presence of network effects. The numerical analysis indicates that the evolution strategy of compatibility is more likely to increase the chance of firm growth when a majority of customers are not power users or when demand for an old technology has been escalated. But when there are a substantial number of power users or when a new technology emerges before such an escalation of demand, the revolution strategy of compelling performance is more likely to be effective. The result suggests a potential mechanism for overcoming the lock-in problem. When the market exhibits some inertia to an obsolete technology, which is reinforced by the increasing customer value with respect to backward compatibility, the survival of a new technology depends on power users. When many power users are cultivated by firms' technological efforts regarding the new technology, the market is less likely to lock into an obsolete technology. Indeed, in the workstation market, where power users characterize much of the demand, innovators like Sun successfully switched to the RISC architecture.

• Journal of Engineering Education Research
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• v.17 no.2
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• pp.42-49
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• 2014

This study analyzed and compared the curriculum of 12 arbitrarily selected Colleges of Engineering for their professional general education. Since the Korean Accreditation of Engineering Education has existed for the last 10 years a growing need for improvements was identified and thus this study shall provide a basis for future curriculum developments of the professional general education. For this purpose the educational objectives, the syllabus, the self-assessment reports and catalogues of the 12 Colleges were reviewed and the relevance between the educational objectives of each engineering school and the learning outcomes in the professional general education were analyzed. Furthermore, by analyzing the area of subject that each College of Engineering's mechanical engineering program's professional general education focuses on, the current trend can be examined. Finally, the credit requirements and their allocation and the distribution of the professional general education over the semesters were analyzed. The results of this study were as followed; these capabilities such as creativity, professionalism, globalization, ethics, humanism, design ability, management ability, responsibility and communication are suggested as educational objectives of 12 engineering schools. But courses related to globalization, ethics & responsibility and communication skills were much more often taught. Not only do the allocated credits for the courses of professional general education differ from university to university but the distribution over the semesters vary as well.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.4
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• pp.764-781
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• 2016

During the last two decades, industrial cluster policies for promoting regional economic growth and industrial development have been flourishing all over the world. Even though cluster policies have partly contributed to regional industrial growth and innovation capabilities, they have long been blamed for regional industrial lock-ins and declining regional industrial resilience because of applying homeogenous cluster policies and regional specialized strategic industrial promotion policies for various localities, which are based on so-called 'selection and concentration' principle. This paper suggests postcluster policy focused on placed-based smart specialization and regional business platform strategies.