• Proceedings of the Korea Technology Innovation Society Conference
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• 2004.05a
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• pp.174-191
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• 2004

본 연구에서는 미래 유망산업영역 발굴시 기술영역과 산업/사업 영역을 연계하고, 국가적 차원과 기업차원에서의 유망산업 영역을 연계할 수 있는 방법론을 제시함으로써 기존 연구가 가지는 한계점을 극복하고자 하였다. 즉, 주요기술을 중심으로 국가적 차원의 유망산업 발굴을 주요 내용으로 하는 기존의 연구로부터 출발하여, 국가차원으로부터 기업차원으로 대상을 세분화하고, 유망산업의 기술-산업간, 산업-사업간 영역의 연계를 강화하고자 하였다. 이를 위하여, KISTI에서 개발한 새로운 유망산업/사업영역 발굴 프로세스를 새로운 방법론으로 제시하고, 발굴된 유망산업 및 사업영역의 평가에는 내 외적 평가 7단계 프레임워크를 활용하였다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.379-384
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• 2006

본 논문에서는 과학기술 정보분석을 위한 방법론 중의 하나인 지식맵을 기반으로 유망연구영역을 탐색하는 방법론을 다룬다. 이를 위해 정보보안 분야를 대상으로 지식맵을 작성하고, 또한 허브탐색을 통한 정보보안 분야의 유망연구영역을 제안하였다.

• Journal of Information Management
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• v.39 no.3
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• pp.95-113
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• 2008

In todays environment in which scientific technologies are changing very fast than ever, companies have to monitor and search emerging technologies to gain competitiveness. Actually many nations try to do that. Most of them use Dephi approach based on experts review as a searching method. But experts review has been criticised for probability of inclination and its derivative problems in the sense that it is accomplished only by expert's subjectivity. To overcome such problems, we used Scientometric Method for identifying emerging technology that had been done by Delphi as a rule. We made three particular efforts in order to improve the Quality of the result. Firstly, we selected one alternative database between SCI and Scopus hoping to see evenly-distributing results in wide fields on the front burner. Secondly we used Fractional citation counting in counting citation number in the stage of linear regression analysis. Lastly, we verified Scientometric result with experts opinions to minimize probable errors in a Scientometric research. As a result, we derived 290 emerging technologies from Scientometric analysis with Scopus Database, and visualized them on 2-dimension map with data mining system named KnowledgeMatrix which was developed by KISTI.

• The Journal of the Korea Contents Association
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• v.8 no.2
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• pp.231-238
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• 2008

With the development of methodologies, there are also the researches for the concrete item selection for selecting the future emerging researches and technologies. In this paper, we use scientometrics for that purpose in the sectors of construction and transportation. In our scientometric analysis, we use Scopus database, top 1% cited papers, bibliographic coupling, cosine coefficient, and hierarchical clustering and then carry additional experts verification on our results. We try to show the detailed process of scientometric analysis and its possibility as objective methodologies to select the future emerging researches and technologies.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.6
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• pp.1393-1401
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• 2012

In this study, we pick graphene research as a case study to demonstrate the importance of follow-up monitoring the emerging technology items. Graphene was selected as an emerging technology from MIT(2008) and KISTEP(2009). We analyze the growth, transition, and differentiation of graphene research by keyword mapping techniques. Specifically, we investigate the changing aspects of biosensor area within graphene field to predict that it will be highly promising.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.71-96
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• 2023

This study aimed to investigate key research areas in the field of Library and Information Science (LIS) by analyzing trends and identifying emerging topics. To facilitate the research, a collection of 40,897 author keywords from 11,252 papers published in the past 30 years (1993-2022) in five journals was gathered. In addition, keyword analysis, as well as Principal Component Analysis (PCA) and correlation analysis were conducted, utilizing variables such as the number of articles, number of authors, ratio of co-authored papers, and cited counts. The findings of the study suggest that two topics are likely to develop as promising research areas in LIS in the future: machine learning/algorithm and research impact. Furthermore, it is anticipated that future research will focus on topics such as social media and big data, natural language processing, research trends, and research assessment, as they are expected to emerge as prominent areas of study.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.7
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• pp.813-818
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• 2015

IoT is the network of physical objects or things embedded with electronics, software, sensors and connectivity to enable it to achieve greater value and service by exchanging data with the manufacturer, operator or other connected devices. Until now many researches have been studied for centering keyword for detecting emerging technology of future and scientometric analysis among the papers. This paper propose searching method of emerging technology for the IOT (internet of things) which is recently interesting area via dynamic analysis for keyword mapping.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.153-159
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• 2007

With development of the methodology for the selection of future emerging research and technology subject it will reach and the research for the concrete item selection which leads is propelled. It uses scientometrics objective indexes and accomplished information analysis of highly cited paper(HCP) & Clustering from the present paper. Scopus data about under using it accomplishes information analysis of construction traffic fields. It selects emerging research of construction traffic fields, it compares a national for technical trend.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.11
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• pp.1655-1664
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• 2013

Recently, it becomes essential to forecast the future and identify emerging technologies in order to improve R&D efficiency and gain a competitive advantage under rapidly changing environment of science and technology. Therefore this research aims to identify the future and emerging technologies especially for the industry and applied it to list top ten emerging technologies. In this study, we identify research fronts across all areas of science and technology through verifying and comparing the 2008 and the 2012 surge in research activities. Finally we detect rapidly increasing 10 promising technology areas. This research results are expected to provide valuable information to support stragegic and policy decision making.