Quantitative Analysis of Research Trends in Korean E-Government Using Text Mining and Network Analysis Methods (국내 전자정부 연구동향에 대한 정량적 분석: 텍스트 마이닝과 네트워크 분석 기법을 중심으로)

Sooin Lee (이수인); Shin Shin-Ae (신신애); Kang Dong-Seok (강동석); Kim, Sanghyun (김상현)

doi:10.22693/NIAIP.2018.25.4.084

Quantitative Analysis of Research Trends in Korean E-Government Using Text Mining and Network Analysis Methods

Informatization Policy
Abbr : 정보화정책
2018, 25(4), pp.84-107
DOI : 10.22693/NIAIP.2018.25.4.084
Publisher : NIA
Research Area : Social Science > Public Policy
Received : August 27, 2018
Accepted : October 24, 2018

Sooin Lee ¹, Shin Shin-Ae ¹, Kang Dong-Seok ¹, Kim, Sanghyun ²

¹한국정보화진흥원
²경북대학교

Accredited

ABSTRACT

The existing research on domestic e-government trends in Korea has weaknesses in that it depends only on qualitative research methods. Therefore, a quantitative analysis was conducted through this study as of September 2018 based on the data from 1996 to 2017. A total of seven research topics were derived from text mining, of which the network centrality of the framework and public policy effect were identified as highly significant. The results of this study provide academic and policy implications for the development of e-government. including that using a quantitative analysis method instead of a qualitative method contributes to ensuring relative objectivity and diversity of learning.

KEYWORDS

e-government, research trends, quantitative analysis, text mining, network analysis, framework, public policy effect

Citation status

* References for papers published after 2023 are currently being built.

[journal] 안정국 / 2016 / Fintech Trends and Mobile Payment Service Anlaysis in Korea: Application of Text Mining Techniques / 정보화정책 / 한국지능정보사회진흥원 23(3) : 26~42

[journal] 배정환 / 2013 / Analysis of Twitter for 2012 South Korea Presidential Election by Text Mining Techniques / 지능정보연구 / 한국지능정보시스템학회 19(3) : 141~156

[journal] 배정환 / 2014 / Twitter Issue Tracking System by Topic Modeling Techniques / 지능정보연구 / 한국지능정보시스템학회 20(2) : 109~122

[journal] Blei, D. M. / 2003 / Latent dirichlet allocation / Journal of machine Learning research 3 : 993~1022

[confproc] 조승연 / 2015 / 고객 온라인 구매후 기를 활용한 추천시스템 개발 및 적용 / 한국경영정 보학회 학술대회 발표논문

[journal] 조태민 / 2015 / Latent Keyphrase Extraction Using LDA Model / 한국지능시스템학회 논문지 / 한국지능시스템학회 25(2) : 180~186

[other] 전자신문 / 2018 / [사설]전자정부, 한 번 더 도약하자

[journal] Gronloud, Å. / 2005 / Introducing e-gov: history, definitions, and issues / Communications of the association for information systems 15(1) : 39~

[confproc] 한경훈 / 2015 / 사회 네트워크 분석을 이용 한 지하철역 네트워크 구조 분석 / 한국철도학회 학 술대회 발표논문

[other] 허우영 / 2018 / 문용식 올 UN전자정부 평가순위 하락 예상 / 디지털타임스. 6월 21일

[journal] 황종성 / 2003 / 전자정부의 쟁점과 연구동향 / 정보화정책 10(3) : 3~12

[journal] Hwang, S. / 2017 / Mapping out e-government research literature: How interdisciplinary was it for the blooming decades? / Electronic Government, an International Journal 13(3) : 224~241

[journal] 정진우 / 2013 / Trends in the Study of e-Government: An Analysis of Korean Society and Public Administration / 한국사회와 행정연구 / 서울행정학회 24(2) : 153~175

[journal] 김경섭 / 2001 / 정부 정보화책임관(CIO)들이 인지하는 전 자정부의 주요 이슈 / 정보통신정책 ISSUE 13(3) : 1~29

[journal] 김상겸 / 2016 / A Study on the Research Trends in Domestic Industrial and Management Engineering using Topic Modeling / 한국경영공학회지 / 한국경영공학회 21(3) : 71~95

[other] 김성렬 / 2016 / [특별기고]정보화 투자, ‘효율화’가 필요하다 / 전자신문. 6월 13일

[other] 김태형 / 2016 / 정부, 2020년까지 정보보호 수출 4.5조, 해외진출 기업 250개 추진 / 보안뉴스. 2월 3일

[confproc] 이종성 / 2003 / 국내학술지 발표논문 검토를 통한 전자정부 연구 현황 및 추세 분석 / 한국경영정보학 회 학술대회 발표논문

[journal] 이영주 / 2010 / e-Government Research Trend in Korea: A Meta Study / 정보화정책 / 한국지능정보사회진흥원 17(3) : 36~56

[journal] 이혜원 / 2013 / Research Trend and Analysis on the Issues of Informatization and E-Government in Korea / 정보화정책 / 한국지능정보사회진흥원 20(4) : 3~22

[journal] 이오준 / 2014 / Movie Box-office Analysis using Social Big Data / 한국콘텐츠학회 논문지 / 한국콘텐츠학회 14(10) : 527~538

[journal] 이원상 / 2015 / Topic Model Analysis of Research Trend on Spatial Big Data / 대한산업공학회지 / 대한산업공학회 41(1) : 64~73

[journal] 이윤식 / 2015 / A Performance Evaluation of the Smart Government Program in Korea / 한국지역정보화학회지 / 한국지역정보화학회 18(2) : 109~135

[journal] 이수상 / 2016 / A Study on the Application of Topic Modeling for the Book Report Text / 한국도서관·정보학회지 / 한국도서관·정보학회 47(4) : 1~18

[journal] 이태현 / 2016 / The Analysis of Information Security Awareness Using A Text Mining Approach / 정보화정책 / 한국지능정보사회진흥원 23(4) : 76~94

[journal] 이용국 / 2017 / An Analysis of the Research Trend in The Korean Journal of Measurement and Evaluation in Physical Education and Sport Science using Topic Models / 한국체육측정평가학회지 / 한국체육측정평가학회 19(2) : 11~22

[other] 이앞길 / 2018 / LDA 토픽 모델링을 활용한 유사 특허문서 추천 모델 / 한국지능정보시스템학회 학술대회 발표논문

[journal] 임병학 / 2011 / A Study on the Impact of Social Network at Ports on Throughput with a focus on Port Cooperation Index / POSRI경영경제연구 / 포스코경영연구소 11(3) : 289~307

[journal] Lofstedt, U. / 2005 / E-government - Assessment of current research and some proposals for future directions / International Journal of Public Information Systems 1 : 39~52

[report] 행정안전부 / 2017 / 2017 전자정부 성과백서 / 한국정보화진흥원

[book] 행정안전부 / 2017 / 전자정부 50년 / 행정안전부

[journal] 나상태 / 2017 / Research Trend Analysis for Smart Grids Using Dynamic Topic Modeling / 전기학회논문지 / 대한전기학회 66(4) : 613~620

[journal] 박준식 / 2010 / Measuring the Connectivity of Nodes in Road Networks / 대한교통학회지 / 대한교통학회 28(4) : 129~139

[journal] 박자현 / 2013 / A Study on the Research Trends in Library & Information Science in Korea using Topic Modeling / 정보관리학회지 / 한국정보관리학회 30(1) : 7~32

[journal] 박선주 / 2015 / A Topic Analysis of SW Education Textdata Using R / 정보교육학회논문지 / 한국정보교육학회 19(4) : 517~524

[journal] Rodríguez Bolívar, M. P. / 2010 / Trends of e-government research: Contextualization and research opportunities / The International Journal of Digital Accounting Research 10 : 87~111

[journal] Scholl, H. J. / 2007 / Central research questions in e-government, or which trajectory should the study domain take? / Transforming Government: People, Process and Policy 1(1) : 67~88

[journal] Snead, J. T. / 2014 / E-government research in the United States / Government Information Quarterly 31(1) : 129~136

[confproc] 송혜지 / 2013 / 텍스트 마이닝 기법을 활용한 한국의 경제연구 동향 분석 / 한국정보관리학 회 학술대회 발표논문

[journal] 서병조 / 2017 / A Study on the Research Trends in Domestic Platform Government using Topic Modeling / 정보화정책 / 한국지능정보사회진흥원 24(3) : 3~26

[confproc] Tan, A. H. / 1999 / Text mining : The state of the art and the challenges / In Proceedings of the PAKDD 1999 Workshop on Knowledge Discovery from Advanced Databases

[book] United Nations & American Society for Public Administration / 2002 / Benchmarking e-government: A global perspective / U.N. Publications

[confproc] Wang, C. / 2011 / Collaborative topic modeling for recommending scientific articles / Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

[journal] 왕재선 / 2013 / Effects of E-Government: A Focus on Governance Indicators / 행정논총 / 한국행정연구소 51(4) : 1~29

[web] Wirtz, B. W. / 2017 / E-government: Strategy Process Instruments / https://www.uni-speyer.de/files/de/Lehrst%C3%BChle/Wirtz/WirtzDaiser_2017_EGovernment.pdf

[journal] 유리나 / 2017 / A Trend Analysis of Agricultural and Food Marketing Studies Using Text-mining Technique / 한국산학기술학회논문지 / 한국산학기술학회 18(10) : 215~226

[web] 한국정보화진흥원 / 2017 / EA 개념 및 범정부EA 추진현황 / https://www.geap.go.kr/

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Informatization Policy 2023 KCI Impact Factor : 4.08

Quantitative Analysis of Research Trends in Korean E-Government Using Text Mining and Network Analysis Methods

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* References for papers published after 2023 are currently being built.

Informatization Policy 2023 KCI Impact Factor : 4.08

Quantitative Analysis of Research Trends in Korean E-Government Using Text Mining and Network Analysis Methods

ABSTRACT

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