• 한국초전도학회:학술대회논문집
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• 한국초전도학회 2004년도 High Temperature Superconductivity Vol.XIV
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• pp.50-50
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• 2004

• 한국시스템다이내믹스연구
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• 제13권3호
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• pp.67-98
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• 2012

This study suggests a set of Causal Loop Diagram (CLD) of Causality Mechanism which integrates the matter of characteristics of emerging market and its expansion strategies. In order to make CLD more objective, all causalities are articulated from recent 55 studies (2000~2012) of SSCI Top Journals. This approach is valuable in that it is a first try to draw all the causalities from rigorous literature review regarding emerging market strategy. The 5 CLDs will show and clarify the strategies of how to expand into emerging market for MNCs. In sum, political activity and institutional void is a critical factor related to characteristics of emerging market, and CSV and cultural distance should be considered as a leverage point. For all this study's contribution to clarify the causality of emerging market strategies with abundant literature review, the study has its limits in integrating and testing CLD.

• 지식경영연구
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• 제17권2호
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• pp.27-50
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• 2016

Korean manufacturing industry have recently faced the catch-up of China in the mass commodity product, such as automotive, display, and smart phone in terms of market as well as technology. Accordingly, discussion on the importance of achieving catch-up in complex product systems (CoPS) has been increasing as a new innovation engine for the industry. In order to achieve successful catch-up of CoPS, we explored emerging technologies of CoPS, which are featured by the characteristics of radical novelty, relatively fast growth and self-sustaining, through the study of emerging technologies of gas turbine for power generation. We found that emerging technologies of the gas turbine are technologies for combustion nozzle and composition of electrical machine for increasing power efficiency, washing technology for particulate matter, cast and material processing technology for enhancing durability from fatigue, cooling technologies from extremely high temperature, interconnection operation technology between renewable energy and the gas turbine for flexibility in power generation, and big data technology for remote monitoring and diagnosis of the gas turbine. We also found that those emerging technologies resulted in technological progress of the gas turbine by converging with other conventional technologies in the gas turbine. It indicates that emerging technologies in CoPS can be appeared on various technological knowledge fields and have complementary relationship with conventional technologies for technology progress of CoPS. It also implies that latecomers need to pursue integrated learning that includes emerging technologies as well as conventional technologies rather than independent learning related to emerging technologies for successful catch-up of CoPS. Our findings provide an important initial theoretical ground for investigating the emerging technologies and their characteristics in CoPS as well as recognizing knowledge management strategy for successful catch-up of latecomers. Our findings also contribute to the policy development of the CoPS from the perspective of innovation strategy and knowledge management.

• 한국자기학회:학술대회 개요집
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• 한국자기학회 2017년도 임시총회 및 하계학술연구발표회
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• pp.95-96
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• 2017

• 한국초전도학회:학술대회논문집
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• 한국초전도학회 2005년도 High Temperature Superconductivity Vol.XV
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• pp.45-45
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• 2005

• 한국초전도학회:학술대회논문집
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• 한국초전도학회 2005년도 High Temperature Superconductivity Vol.XV
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• pp.56-56
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• 2005

• 한국초전도학회:학술대회논문집
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• 한국초전도학회 2009년도 Korea Superconductivity Society Meeting 2009
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• pp.61-61
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• 2009

• 디지털산업정보학회논문지
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• 제9권2호
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• pp.139-149
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• 2013

As the importance of technology forecasting while countries and companies manage the R&D project is growing bigger, the methodology of technology forecasting has been diversified. One of the forecasting method is patent analysis. This research proposes quick forecasting process of emerging technology based on keyword approach using text mining. The forecasting process is following: First, the term-document matrix is extracted from patent documents by using text mining. Second, emerging technology keyword are extracted by analyzing the importance of word from utilizing mean values and standard deviation values of the term and the emerging trend of word discovered from time series information of the term. Next, association between terms is measured by using cosine similarity. finally, the keyword of emerging technology is selected in consequence of the synthesized result and we forecast the emerging technology according to the results. The technology forecasting process described in this paper can be applied to developing computerized technology forecasting system integrated with various results of other patent analysis for decision maker of company and country.

• 천문학회보
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• 제36권2호
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• pp.102.1-102.1
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• 2011

In this study we use three-dimensional magnetohydrodynamic simulations to investigate how the dynamic state of emerging magnetic field is related to the twist of field lines. Emerging magnetic field forms a magnetic structure on the Sun where various kinds of activity such as solar flares, jets, and coronal mass ejections are observed. To understand the physical mechanism for producing such activity, we have to know the dynamic nature of this structure. Since flares are the manifestation of rapidly dissipating electric current in the corona, we also investigate the distribution of current density inside the structure and examine how it depends on the field-line twist. To demonstrate the dynamic structure of emerging magnetic field, we focus on the factors characterizing the geometric property and stratification of emerging magnetic field, such as the curvature of field line and the scale height of field strength. These two factors show that emerging field forms a two-part structure in which the central part is close to a force-free state while the outer marginal part is in a fairly dynamic state where magnetic pressure force is dominant. We discuss how the field-line twist affects the two-part structure and also explain a possible relation between electric current structure and sigmoid observed in a preflare phase.

• 한국간호교육학회지
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• 제28권4호
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• pp.421-432
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• 2022

Purpose: As coronavirus disease 2019 (COVID-19) and other emerging infectious diseases continue to threaten health security, a strategy is required to increase nursing students' care intention for patients with such diseases. This study aimed to identify factors influencing Korean nursing students' care intentions in regard to patients with emerging infectious diseases. Methods: The care intention, COVID-19 knowledge level, ethical sensitivity, beliefs, attitudes toward the care intention, subjective norms, and perceived behavioral control were investigated using the theory of planned behavior. An online survey was completed from December 2020 to January 2021 by 227 nursing students who had complete a clinical practicum. Descriptive statistics, correlation, and hierarchical regression analyses were conducted on the data. Results: The care intention was higher in men than in women nursing students and in junior than in senior students. Behavioral and normative beliefs, attitude toward the behavior, and perceived behavioral control significantly predicted care intention. Ethical sensitivity increased the predictability of nursing students' care intentions for emerging infectious disease patients. Conclusion: The theory of planned behavior predicted nursing students' care intentions for emerging infectious diseases. Therefore, an experience-based response program on emerging infectious diseases is required for nursing students.