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박현준(Hyun-jun Park),목은지(Eun-ji Mok),이정노(Jeong-no Lee),조용래(Yong-rae Cho) 한국기술혁신학회 2018 한국기술혁신학회 학술대회 발표논문집 Vol.2018 No.5
본 연구는 기술과 산업의 변화를 감지·예측하는 새로운 지표로서의 표준의 역할과 관련하여 두 가지 이슈를 규명하고자 하였다. 첫째, 표준이 새로운 기술과 산업의 출현으로 대표되는 혁신을 감지하는 선행지표로서 활용될 수 있는지 여부이다. 둘째, 표준이 기존 산업 가치사슬의 재편을 감지하는 지표로서 활용될 수 있는지 여부이다. 이러한 연구문제들을 해결하기 위하여, ‘활동의 과정’과 ‘활동의 결과’의 관점에서 표준화 활동 정보 및 제정된 표준 정보를 활용한 사례연구와 정보분석의 실증연구를 진행하였다. 분석결과, 표준화 활동 정보가 새로운 기술과 산업 출현의 선행지표로서 활용될 수 있음을 사례연구를 통해 규명하였다. 또한, 표준 간 인용 네트워크 분석을 통하여 기술지식 흐름의 특성을 파악하였다. 연구결과를 바탕으로 산업 전략적 관점에서 표준화 활동에의 적극적 참여, 표준 정책적 관점에서 정보 시스템 구축·보강 및 체계적 관리의 필요성을 제안한다. This study sought to identify two issues related to the role of standards as a new indicator to detect and predict changes in technology and industry. First, whether a standard can be used as a leading indicator to detect innovation represented by the emergence of new technologies and industries. Second, whether the standard can be used as an indicator to detect the reorganization of the existing industrial value chain. In order to solve these research problems, case study and information analysis using standardized activity information and established standard information were conducted from the viewpoint of "activity process" and "activity result". As a result of the analysis, case study shows that standardization activity information can be used as a leading indicator of emergence of new technology and industry. In addition, the characteristics of the flow of technical knowledge were grasped through the standard network analysis. Based on the results of the study, this paper propose the necessity of active participation in standardization activities from the viewpoint of industrial strategy, construction and reinforcement of information system in terms of standard policy, and systematic management.
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양현채(Hyeonchae Yang),박기범(Ki Beom Park),엄미정(Mi Jung Um),목은지(Eun Ji Mok) 과학기술정책연구원 2020 정책연구 Vol.- No.-
This study was performed with a view to exploring the possibility of utilizing AI(Artificial Intelligence) in administration for the scientific technology sector. The significance of AI technology is emphasized as a rapidly evolving new technology driving the world"s transition into the era of the 4th Industrial Revolution. Governments around the world are also paying attention to measures to promote the conversion from the existing e-government to intelligent government. In other words, the government is attempting to apply the digital information accumulated during the period of e-government to actual issues and utilize the information for appropriate decision-making on the policy. Additionally, as the Science and Technology(S&T) sector must especially respond quickly to the rapidly changing domestic and foreign environments, this mission must be handled separately from the tasks of general administration. Therefore, the purposes of this study are to 1) identify the status of utilizing AI in administration for the S&T sector and derive the fields where utilization of AI is possible, and 2) find methods to utilize AI for administrative innovation in the S&T sector based on sound understanding of the technical characteristics of AI and administrative work. This study is composed of five chapters in total. Chapter 1 is the Introduction, which takes a look back into the emergence and development of AI technology. Furthermore, the estimated effects of AI on administration of public sector and scientific technology sector are reviewed to examine the necessity of utilizing AI. Chapter 2 describes the concept and scope of administration for the S&T sector, which is subject to utilization of AI, and examines the development of administration for the S&T sector as it changed from the previous drive for informatization to the recent move toward intelligence. In Chapter 3, cases of utilizing AI in the administration for the S&T sector are examined, and utilization is classified based on these cases. Chapter 4 reviews the overall goal of utilizing AI in administration for the S&T sector through interviews with experts, and the obstacle factors anticipated for the future are derived based on the issues faced in the policies where AI is currently being utilized. Lastly, Chapter 5 provides the conclusions of this study to propose the direction for the method and place of utilizing AI. In this study, as a result of classifying various ideas on utilizing AI in the standards of "availability" and "necessity" on applying AI, the ideas that can be applied immediately were shown to have similar private services. Furthermore, there are existing tasks that are performed periodically to be regularized. Meanwhile, the necessity of applying AI is high, but the ideas that are difficult to be utilized immediately were shown to require the establishment of criteria for constructing new data or to enable AI to make decisions. Therefore, these ideas must be promoted for the goal of mid-long term utilization. Eventually, the purposes of utilizing AI in administration for the scientific technology sector are to replace the repetitive work in the short-term to improve efficiency and convenience and to review management of research ethics or supervise the execution of research costs in the mid-term to enable transparency. Lastly, in the mid-long term, it is to enable excellence in scientific technology by recruiting the right talents in the right place. The policy tasks for utilizing AI, outlined in this study, are focused on discovering the cases of utilizing various AI capabilities, and improving the utilization environment.
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