• 식품기술
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• 제24권3호
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• pp.346-352
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• 2011

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 2000년도 제17회 하계학술발표회 논문집
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• pp.153-173
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• 2000

This study is focused on measuring levels of science and technology aspect of ten strategic items in korea to serve as a guidance for the government R&D policy-making, and provide appropriate information for promoting the national R&D programs. The survey of the precise technology level for study applies functional and technical parameters. Functional parameters are used for measuring technology level of the specification and performance of emerging items such as 256M DRAM, TFT-LCD ect. in the present and / or near future; technical parameters, the element / core technologies on emerging items. The study suggests that the result of the survey should be applied for strategic technology planning to narrow the technology gap and draw the criteria for resource allocation in national R&D programs.

• 식품기술
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• 제26권2호
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• pp.102-108
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• 2013

• 식품기술
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• 제23권2호
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• pp.198-204
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• 2010

• 식품기술
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• 제25권1호
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• pp.44-51
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• 2012

• 기술혁신연구
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• 제26권4호
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• pp.1-28
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• 2018

자동차 부품기업들은 플랫폼 기반 대량맞춤형 제품개발과 생산을 통해 비용절감과 아시아 신흥시장 수주 확대를 목표로 하고 있다. 그러나 신흥시장은 수주량이 적고, 변동성이 높아 목표 달성이 어렵다. 본 연구는 부품기업 관점에서 신흥시장의 수주량 변동성 위험을 적정 수준으로 관리하면서, 영업이익을 극대화할 수 있는 제품 포트폴리오 최적화 방법을 제안한다. 기존 제품 포트폴리오 최적화 접근법과의 차별점은 세가지다. 첫째, 플랫폼 기반 대량맞춤형 생산에 의한 비용 절감효과를 반영한다. 둘째, 수주량 변동성을 고려한다. 셋째, 최소 영업이익률 유지라는 강건성 조건을 반영한다. 실무적으로는 신흥시장 개척의 재무 위험을 최소한도로 유지하면서, 점진적으로 시장점유율을 높여가는 동적 제품개발 전략 수립의 토대를 제공한다. 북미, 유럽, 아시아 18개 업체에 납품하는 다국적 부품제조기업의 파워리프트게이트 제품을 대상으로 실증연구를 수행했다.

• 한국IT서비스학회지
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• 제19권4호
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• pp.49-61
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• 2020

Prior studies on technology predictions attempted to predict the emergence and spread of emerging technologies through the analysis of correlations and changes between data using objective data such as patents and research papers. Most of the previous studies predicted future technologies only from the viewpoint of technology development. Therefore, this study intends to conduct technical forecasting from the perspective of the consumer by using keyword search frequency of search portals such as NAVER before and after the introduction of emerging technologies. In this study, we analyzed healthcare technologies into three types : measurement technology, platform technology, and remote service technology. And for the keyword analysis on the healthcare, we converted the classification of technology perspective into the keyword classification of consumer perspective. (Blood pressure and blood sugar, healthcare diagnosis, appointment and prescription, and remote diagnosis and prescription) Naver Trend is used to analyze keyword trends from a consumer perspective. We also used the ARIMA model as a technology prediction model. Analyzing the search frequency (Naver trend) over 44 months, the final ARIMA models that can predict three types of healthcare technology keyword trends were estimated as "ARIMA (1,2,1) (1,0,0)", "ARIMA (0,1,0) (1,0,0)", "ARIMA (1,1,0) (0,0,0)". In addition, it was confirmed that the values predicted by the time series prediction model and the actual values for 44 months were moving in almost similar patterns in all intervals. Therefore, we can confirm that this time series prediction model for healthcare technology is very suitable.

• 기술혁신학회지
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• 제6권2호
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• pp.159-174
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• 2003

This study reviews the emerging new model of science and technology decision making process. It examines the open source software development model and community-based innovation model in technological innovation and the active participation model of Consensus Conference and Citizen's Jury in science and technology policy decision making. It argues that the role and influence of users in innovation and policy making is becoming important in these emerging models and the existing supplier-led, bureaucratic model of science and technology decision making model is changing.

• Journal of Microbiology and Biotechnology
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• 제32권9호
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• pp.1073-1085
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• 2022

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has continued for over 2 years, following the outbreak of coronavirus-19 (COVID-19) in 2019. It has resulted in enormous casualties and severe economic crises. The rapid development of vaccines and therapeutics against SARS-CoV-2 has helped slow the spread. In the meantime, various mutations in the SARS-CoV-2 have emerged to evade current vaccines and therapeutics. A better understanding of SARS-CoV-2 pathogenesis is a prerequisite for developing efficient, advanced vaccines and therapeutics. Since the outbreak of COVID-19, a tremendous amount of research has been conducted to unveil SARS-CoV-2 pathogenesis, from clinical observations to biochemical analysis at the molecular level upon viral infection. In this review, we discuss the molecular mechanisms of SARS-CoV-2 propagation and pathogenesis, with an update on recent advances.

• 식품기술
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• 제23권2호
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• pp.205-211
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• 2010