• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.430-443
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• 2015

신약개발은 국민의 건강권과 직결되며 국가 차원의 제약산업 육성을 위해 매우 중요하다. 그동안 신약개발 분야와 관련하여 다양한 연구가 수행되었지만, 신약개발 분야의 국가연구개발사업에 대한 효율성 분석은 매우 부족한 실정이다. 특히 R&D 분야는 연구개발시차, 일출효과(spill-over effect) 등으로 인해 투입과 산출의 일정한 방향성과 등비율적인 증감을 가정하는 CCR 모형이 적합하지 않다. 또한 가변규모수익을 가정하는 BCC 모형도 여유분(slack)으로 인해 의사결정단위간의 명확한 우선순위 도출이 어려운 한계점이 있다. 최근에는 R&D 분야의 특수성을 고려해서 자료포락분석 모형 중 RAM(Range Adjusted Measure) 모형을 활용한 분석방법이 제시되고 있다. RAM 모형은 가변규모수익 가정 하에 투입지향이나 산출지향처럼 방향성에 대한 사전적인 가정 없이 비효율성을 최대한 제거하는 방향으로 효율성을 측정하므로 R&D 분야의 효율성 분석에 적합하다. 특히 RAM 모형은 매우 강건한 단조성을 인해 의사결정단위 간 명확한 순위 구분도 용이하다. 따라서 본 연구에서는 자료포락분석 모형 중 RAM 모형과 토빗 회귀분석이 결합된 2단계 접근법을 활용해서 범부처전기신약개발사업을 중심으로 신약개발 분야의 국가연구개발사업들에 대한 효율성을 분석하고 주요 시사점들을 논의하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.260-266
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• 2018

The concept of customer utility, which affects customer's adoption, is important to understand the process of technology diffusion and substitution regarding multiple generation technology. This research defined the concept of attribute-based customer utility and developed a model for measuring attribute-based customer utility. Based on the literature review and modeling, we provided the definition and a model regarding customer utility and the accuracy of the model is verified through a case study of the semiconductor industry. Customer utility for a multiple generation technology needs to consider changes by generation, or time within the same generation, and is defined as the summation of both technological and economic utilities. In addition, we can model the measurement of customer utility after converting technological and economical attributes into utilities. This research is valuable in understanding not only customer utility as a driver of customer adoption, but also for establishing technological strategy after forecasting diffusion and substitution paths based on customer utility.

• Journal of Technology Innovation
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• v.4 no.1
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• pp.27-47
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• 1996

The information technology, such as computer, telecommunication, semi- conductor and software technology, is very crucial to enhance the overall level of industrial technology. The workability of linear programming to decide the R&D investment of information technology has been tested in this paper. The case study of Korea during the year 1995 - 2004 suggests that we should enlarge the total investment volume especially on the software technology.

• Journal of Technology Innovation
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• v.19 no.3
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• pp.57-83
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• 2011

We suggested industry-specific priorities of R&D investment with R&D investment elasticity to GDP calculated from the ripple effect of 28 large-sized industry R&D investment, using a Computable General Equilibrium(CGE) Model. Priority orders apply to only 12 industries, because 16 industries with less than 1% of total investment have been excluded. First, R&D investment elasticity to GDP says that priorities are ordered as Basic metal products, Chemicals, drugs and medicines, Food, beverages and tobacco products, Electronic and electrical equipment, Transportation equipment, Precision instruments, Electrictity, gas, steam and water supply, General machinery and equipment, Communications and broadcasting, Construction, Other services, and Real estate and business services. These priorities show the status quo of Korean industry structures well. The GDP growth rate to 2030 year reference equilibrium, which is an auxiliary index, says a similar priority to results from R&D investment elasticity to GDP. In the end, two criteria of priority order can be functioned as a good index for National Science and Technology Commission deciding what industry to invest and what budget to allocate.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.05a
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• pp.215-221
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• 2015

본 연구는 대표적인 지식기반산업인 생명의료산업클러스터인 첨단의료복합단지 조성정책의 형성과정을 분석하고자 한다. 첨단의료복합단지는 미래첨단산업육성정책, 국가산업진흥정책 그리고 지역균형발전정책이 첨예하게 대립했던 첨단의료산업 발전정책과 그 산물로서 2005년부터 시작한 첨단의료복합단지의 건립과정에 대한 경과를 분석하여 그 과정, 절차 그리고 결과를 분석해 보고자 한다. 첨단의료복합단지를 둘러싼 정책형성과정에 대한 분석은 단지 하나의 이벤트나 사건으로 머물지 않고 우리나라의 미래첨단산업정책, 국가신성장동력육성정책, 및 지역균형발전정책 등과 밀접히 관련되어 있다는 데 그 의의를 두고자 한다. 분석결과 첨단 의료산업분야의 정책형성 과정은 여러 정책행위자들이 간여하였다. 특히 해당 정책형성과정은 경제발전과정에서 보여준 한국 산업정책 고유특성이 반영된 합리적 행위자로서의 정부역할이 강하게 나타났다. 아울러 분석결과 다양한 정책행위자의 역동적인 역할이 정책형성의 여러 지점에 반영되었다는 점을 조명하였다.

• Journal of Venture Innovation
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• v.2 no.2
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• pp.1-19
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• 2019

Various studies have been conducted on factors influencing the adoption of new technologies. In particular, the factors influencing customers' acceptance of new technologies that emerged along with the arrival of the 4th Industrial Revolution. Theoretical models are mainly based on the technology acceptance model (TAM) or Extended Unified Theory of Acceptance and Use of Technology : UTAUT2). However, there are no trust variables in these models. In this study, we added trust variable and tested augmented reality(AR). Three types - trust as an independent variable, as a mediating variable, and as a moderating variable - were analyzed statistically. As a result, trust was most explanatory when viewed as a mediating variable between independent variables and intention to use. In theory, it has been shown that trust acts as a mediating effect. In practice, trust is most important in accepting new technologies, so it is important to prioritize trust.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.4
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• pp.315-320
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• 2004

Digital technologies have largely changed our way of life in a time-space traditional paradigm. Information Technology(IT) has become the most primary measurement in evaluation of social value. So the efficient education for IT has a big responsibility for the better living conditions. The importance of IT education continue to grow more and more. The intent of this work is to enforce the competitive power of IT education under open-education and to develop the special model of the practical IT curriculum for industry. The proposed curriculum is consisted of various modules which can be easily adapted to real world. So someone who finished IT curriculum can be re-educated the only necessary module with this developed model.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.2C
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• pp.157-167
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• 2012

RFID(Radio Frequency Identification) is regarded as one of the greatest contributing 10 technologies of the 21st century, and is a promising technology available to all industries. Each country has tried to develop RFID technology and foster its industry, and Korea has also chosen it as one of new growth engine industries with active support policies. This study was presenting implications necessary to stimulate and expedite RFID demand by analyzing the factors affecting the success of RFID implementation. In order to achieve this purpose, we categorized the factors affecting successful RFID implementation into user factors, technical factors, organizational factors, and external factors, and probed them in the previous literatures. Based on this, conceptual research model and hypothesis were set. Data collection was performed through companies adopting and running RFID, and research model and hypothesis were tested with structural equation model analysis. Finally, implications necessary to stimulate RFID demand and foster its industry were presented founded on the result of empirical analysis.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.2
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• pp.73-85
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• 2020

While Korea became one of manufacturing powers in the world through a fast-follower strategy as well as implementing the approach of advancing manufacturing business focused on quantitative input, The advent of the fourth industrial revolution and demand becoming more complicated than ever both require a system that quickly detects the change of markets in advance and reflects it in the manufacturing strategy. Accordingly, the introduction of a smart factory is not optional but mandatory in order to strengthen the competitiveness of manufacturing business using ICT. This paper aims to investigate key factors having influence on the intention to continuously use a smart factory, the innovative IT device, on the basis of the technology acceptance model. This paper analyzed the influence of the leadership of CEO, organizational learning and perceived switching costs on the intention to continuously use a smart factory by the parameters of perceived ease of use and usefulness, the major belief valuables of the IT acceptance model.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.289-289
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• 2023

4차산업 혁명이 도래한 이후로 전세계적으로 AI 기술이 유래 없는 속도로 발달 및 활용되고 있으며, 다양한 분야에서 AI 기법을 도입한 연구가 활발히 진행 중에 있다. 최근 수자원 분야에서는 단기 강우 예측, 댐 유입량 예측 및 하천 수위 예측 등의 분야에서 AI 기술이 접목되어 꾸준한 기술 개발이 이루어지고 있다. 그러나 단변량으로 축척된 자료를 활용하여 중·장기 모형 개발 연구가 다수 진행되고 있지만, 급격한 기후변화 현상과 복잡한 매커니즘을 보이고 있는 기상현상의 경우 단변량 분석으로서는 정확도가 저하 될 수 있는 우려가 있는 것이 현실이다. 이에 본 연구에서는 상기에 제시된 단점을 극복하고자 다양한 기상자료를 검증·예측인자로 활용함과 동시에 Deeplearning 모형과 결합하여 신뢰성 있는 단기 강수 예측이 가능한 모형을 개발하였다. 본 연구에서는 유럽중기예보센터(ECMWF, European Center for Medium-Range Weather Forecasts)에서 제공하고 있는 ERA5 재해석 자료를 활용하였으며, Deeplearning 모형과 결합하여 단기 강우 예측이 가능한 모형을 개발하였다. 1차적으로 격자자료(25km×25km)로 제공되고 있는 ERA5 자료를 상세화(downscaling) 모형에 적용하여 기상청 관측소와 비교·검증하였으며, Deeplearning 모형을 통해 단기 예측이 가능한 모형으로 확장하였다. 이때 Deeplearning의 다양한 모형 중 시계열 분석에 있어 예측 성능이 높은 LSTM 모형을 활용하였으며, 제공되고 있는 대기 변수의 상호관계를 노드간 연결을 통해 결과의 정확도와 신뢰성을 확보하였다. 본 연구 결과는 기관별로 제공하고 있는 예측 수준을 상회하는 결과를 도출하였으며, 홍수기에 집중되는 강우량을 예측하여 대비·대책을 선제적으로 마련할 수 있는 자료로써의 활용성이 높을 것으로 사료된다.