국내 IT아웃소싱분야 연구 동향 분석: 저자서지결합분석을 중심으로

민형진 ( Hyoung Jin Min ),안준모 ( Joon Mo An ) 한국생산성학회 2015 生産性論集 Vol.29 No.4

The result of a task that minutely looks into pattern in one research area can be used as a basis for future study. Although various studies are being carried out for Information Technology(IT) outsourcing research in Korea from many aspects, no attempts have been made to examine research trends of these researches. This study explores research trends through approach from the perspective of bibliometric analysis of author bibliographic coupling analysis which is a kind of citation analysis most suitable for domestic trend analysis, from the perspective of bibliometric analysis as a means of understanding IT outsourcing research trends in korea. For this study, IT outsourcing researches based on accredited journals on National Research Foundation of Korea(NRF) were reviewed, among the researches regarding IT outsourcing studies to 2014 and top 38 authors were selected in the order of publications. Based on author bibliographic coupling method which is a kind of citation analysis most suitable for domestic trend analysis that uses Pearson’s correlation coefficient, this study carried out clustering analysis and multi-dimension scaling to visually express research trends of IT outsourcing studies and proposed sub sectors of research themes. The results indicate through the analysis of research trends by clustering analysis and MDS scaling to display author clusters and subcategories research themes of IT outsourcing on a MDS are as follows: First, IT outsourcing research started in 1994 and decreased recent years. Top journals of IT outsourcing is Asia Pacific Journal of Information Systems(21 cases), Journal of the Korea Society of IT Services(12 cases), Information Systems Review(12 cases). And researchers were confirmed Nam, Ki Chan(13 times), Kim, Hyun Soo, An, Joon Mo, Lee, Jae Nam, Jo, Dong Hwan(5 times each). Second, The sub sectors of IT outsourcing research turned out to be the areas of decision, Performance, Audit, adoption, Strategy & Control, Competence & Public, Risk, ITSM, IT Service Outsourcing, Conflict Management. This study is a new attempt to confirm the usefulness of the analysis of research trends in IT outsourcing. This study has significance in that it tries to find major authors, journals and research fields under an active investigation of IT outsourcing. It expected to help the researchers in the concerning area. For future exploration, a variety of analytical techniques could be implemented such as network analysis and a comparative study of the papers with overseas researches. Also, author bibliographic coupling analysis should be implemented periodically.

직업교육연구 학회지의 연구동향 분석: 내용분석 및 네트워크 분석의 활용

김은지,황영아,송영수 한국직업교육학회 2017 職業 敎育 硏究 Vol.36 No.6

본 연구는 최근 10년간 직업교육 관련 대표 학술지인 ‘직업교육연구’에 게재된 논문에 대한 종합적인 분석을 통해 직업교육 관련 연구동향을 파악하고, 향후 발전방향을 모색하는데 그 목적이 있다. 2007년부터 2016년까지 직업교육연구에 게재된 학술지는 총 457편으로 연구자들이 설정한 논문 분석기준에 따라 연구대상 기관, 조사대상, 연구유형 등에 대한 내용분석을 실시하였으며, 각 논문의 연구자가 설정한 주제어의 관계를 분석하는 키워드 네트워크 분석을 통해 연구주제를 분석하였다. 데이터클렌징 작업을 통해 총 1,073종 1,837개의 키워드를 추출하여 키워드 네트워크 분석에 활용하였다. 내용분석의 측면에서 연구결과는 다음과 같다. 연구유형을 분류한 결과 양적 연구 방법을 활용한 논문이 가장 많았으며 다음으로 실천적 연구, 질적 연구, 이론적 연구 순으로 분석되었다. 연구결과가 적용되는 기관에 따라 분류한 연구대상은 기업체, 대학교, 보통교육기관, 직업전문교육기관 중 전문계 고교(특성화고, 공업계열고, 마이스터고 등), 공공기관, 전문대학 순으로 나타났다. 또한 조사대상은 근로자, 대학생, 초・중등학생, 교사, 청년 순으로 나타났다. 연구주제를 살펴보기 위해 실시한 전체 네트워크 분석에서는 진로성숙도, 진로준비행동, 자기효능감, 진로장벽, 진로지도의 주제어들이 연결중심성이 높은 것으로 분석되었다. 또한 매개중심성이 높은 주제어는 자기효능감, 진로성숙도, 자기주도학습능력, 진로준비행동, 직업교육훈련 순으로 분석되었다. 추가적으로 직업교육 분야 주요대상자인 근로자, 대학생, 초중등학생에 대하여 에고네트워크 분석을 실시하고 각 네트워크의 주요키워드 도출 및 구조에 대한 특징을 설명하였다. 본 연구결과를 통해 국내 직업교육 관련 연구동향을 제시하고 향후 직업교육 연구의 발전방향을 제언하였다. The purpose of this study is to understand research trends of vocational education and to seek for the future developmental directions through comprehensive analysis of papers published in ‘The Journal of Vocational Education Research’, a representative academic journal on vocational education for the last ten years. Contents analysis such as institutions for research object, research subject, types of research, etc. was conducted by the researchers’ paper analysis criteria based on the 457 articles published by ‘The Journal of Vocational Education Research’ association from year 2007 to 2016. Also, subject of research was analyzed through keyword network analysis, analyzing relationships of keywords set by the relevant researchers. Keyword network abstracted 1,837 keywords and 1,037 different kinds in total through data cleansing process, and those keywords were used for the research analysis. The results are as follow in terms of contents analysis. In case of types of research, it was classified that papers using the quantitative research method were the most. Also, practical, qualitative, and theoretical research methods were used frequently in the order named. In case of research object, applying the research results on the spot, it was classified that companies, universities, general education institutions, vocational high schools of vocational training institutions(specialized vocational high schools, technical high schools, Meister high schools, etc.), government offices, and colleges applied the research result frequently in the order named. Also, in case of subject of research, workers, university students, elementary and middle school students, teachers and young man became the subject of research frequently in the order named. It was analyzed that through the overall network analysis for the study of the research subject, keywords such as career maturity, career preparation behaviors, self-efficacy, career barriers, career guidance have higher degree centrality. Also, keywords with higher betweenness centrality were analyzed as follow self-efficacy, careere maturity, self-directed learning capability, career preparation behaviors, vocational education and training in the order named. Additionally, ego network analysis was conducted to workers, university students, and elementary and middle school students, who are the main targets in the field of vocational education. Through the ego network analysis, main keywords of each network were drawn, and structural characteristics were explained as well in this paper. This study shows the research trends regarding vocational education using the research results as mentioned above and suggests future developmental directions in the field of vocational education.

사회연결망 분석을 활용한 관광분야 회복탄력성 연구동향 분석

정연동 ( Jung Yeon-dong ),이의수 ( Lee Eui-soo ) 한국관광산업학회 2021 Tourism Research Vol.46 No.2

본 연구는 국내 관광분야의 회복력 관련 연구의 연구동향을 파악하기 위하여 사회연결망분석 방법을 활용하여 실시하였다. 사회연결망분석은 특정 연구자의 관점이나 이론적 배경을 제한하지 않고 분석된 텍스트에 제시된 단어와 사회연결망분석에 포함된 개념 사이의 관계를 통해 전체 내용을 포괄적으로 식별하는 객관적 분석을 제공할 수 있는 장점이 있기 때문이다. 따라서 본 연구는 국내 관광분야의 회복탄력성에 대한 심층 논문을 검토하여 관광분야 회복탄력성의 연구 동향을 파악하고 핵심 키워드에 포함된 개념의 의미와 관계를 파악함으로써 향후 회복탄력성에 대한 새로운 연구 방향을 제시하고자 하는 목표에서 출발하였다. 이에 본 연구는 학술연구정보서비스(www.riss.kr) 통해 2011년부터 2020년까지 국내에서 게제 된 회복탄력성 관련 연구논문 총 37편(국내학술논문 29편, 학위논문 8편)을 분석대상으로 실시되었다. 국내 관광분야 회복탄력성 관련 연구의 분석은 학술연구정보서비스에서 제공하고 있는 서지정보를 활용하여 기술통계분석을 실시하였고 논문저자가 제시한 98개의 핵심키워드를 바탕으로 사회연결망분석을 실시하였다. 본 연구는 관광분야 국내학술논문과 학위논문의 회복탄력성 관련 논문의 핵심키워드를 바탕으로 그간의 연구방법과는 다르게 사회연결망분석을 이용하여 연구동향을 분석하였다는 부분에서 의미가 있다. 본 연구를 통해 도출한 연구결과는 국내 회복탄력성 관련 연구의 동향을 종합적이고 유기적으로 파악할 수 있으며, 향후 관광분야 회복탄력성 후속연구의 방향을 설정하는데 일정부분 도움이 될 것으로 기대된다. 또한, 본 연구의 결과는 사회연결망 분석을 통하여 핵심키워드 간의 연결정도를 파악할 수 있으며, 내용분석 방법으로는 한계가 있었던 핵심키워드 간의 구조적 관계를 알기 쉽게 시각화하였다는 부분에서 그간의 연구동향 연구방법을 대체하는 연구방법론으로 활용하기에 적절하다고 사료된다. 게다가 연구동향 연구에 있어서 단순히 단일 연구방법론에 치중되기 보다는 사회연결망분석과 내용분석을 복합적으로 활용한다면 연구동향 연구가 보다 폭넓은 시각에서 의미 있는 연구결과를 도출할 수 있을 것으로 판단된다. This research was conducted using social network analysis methods in order to grasp the trends in research on resilience in the domestic tourism field. Social network analysis has the advantage of providing objective analysis that comprehensively identifies the whole content through the relationship between the words presented in the analyzed text and the concepts contained in the social network analysis. Therefore, this research started with the goal of presenting a new direction for future research on recovery elasticity by reviewing in-depth papers on the resilience of domestic tourism, understanding trends in the recovery elasticity of tourism, and understanding the meaning and relationship of concepts. The research was conducted by the Academic Research Information Service (www.riss.kr) on 37 research papers (29 domestic academic papers and 8 degree papers) published in Korea from 2011 to 2020. The analysis of the resilience-related research in the domestic tourism sector was based on bibliographic information provided by the academic research information service and social network analysis based on 98 key words presented by the author. This research is meaningful in that it analyzes research trends using social network analysis, based on the key keywords of domestic scientific and diploma papers in the tourism field. The results of this study can comprehensively and organically grasp trends in domestic recovery elasticity, and are expected to help set the direction for future research on recovery elasticity in the tourism field. In addition, the results of this study can be used as an alternative research methodology in that the structural relationship between core keywords, which was limited by the content analysis methodology, is easy to understand. Furthermore, rather than simply focusing on a single research methodology, using social network analysis and content analysis together can lead to meaningful research results from a broader perspective.

국내 학술지에 게재된 교육정책 관련 연구 동향 분석: 교육행정학연구를 중심으로

이기용 학습자중심교과교육학회 2023 학습자중심교과교육연구 Vol.23 No.1

목적 연구의 목적은 국내 학술지인 교육행정학연구에 게재된 교육정책 관련 논문을 분석 대상으로 하여 연구 동향을 분석하는 것이며, 이 분석 결과를 토대로 향후 국내 교육정책 연구의 방향에 대한 기초자료를 제공하고자 한다. 방법 한국교육학술정보원의 데이터베이스 및 한국교육행정학회 홈페이지의 자료검색을 통해 교육행정학연구에 게재된 ‘교육정책’ 에 대한 논문을 체계적인 방법으로 자료를 수집하였으며, 최종 분석대상 논문은 218편이었다. 분석 기준으로는 부문 영역 및 목적, 정책 과정과 수준, 연구방법 등으로 설정하였으며, 문헌 분석연구의 일환으로 엑셀 프로그램을 활용하여 빈도분석 및 교차분석을수행하였다. 결과 첫째, 2008년-2021년 교육행정학연구에 게재된 교육정책 관련 218편 논문에 대한 부문 영역별 연구 동향을 분석한 결과, 초⋅중등교육, 고등교육, 교원 등의 순이었으며, 연구주제별로는 자유학기제 정책, 혁신학교정책, 교원능력개발평가제, 교장공모제 등의 순이었으며, 연구목적별로는 현황 및 실태분석, 정책대안 및 개선 방안, 검증 및 적용 등의 순이었다. 둘째, 정책 과정별 연구동향에서는 정책평가, 정책집행, 정책결정 등의 순이었으며, 정책 수준별로는 국가 수준, 시⋅도 수준, 단위학교 수준 등이었다. 셋째, 자료수집 방법별 연구 동향에서는 문헌, 통계자료, 질문지 등의 순이었으며, 연구형태별로는 분석연구, 기술적 연구, 비교연구등의 순이었다. 결론 이상의 교육정책 관련 연구 동향 분석의 결과를 토대로 한 연구결론은 초⋅중등교육 영역, 자유학기제 및 혁신학교 정책의연구주제, 현황 및 실태분석의 연구목적, 정책평가의 과정, 국가 수준, 문헌 자료수집 방법, 분석연구의 형태 등이 주요 연구 동향이었다. 향후 연구에서는 다양한 연구의 부문 영역, 연구목적 및 연구형태의 다양성 추구 등의 연구범위를 확대한다는 차원에서 후속연구들이 진행되어야 할 것이다. Objectives The purpose of this study is to analyze research trends targeting educational policy-related theses published in the Journal of Educational Administration, one of the Korean journals, as the subjects of analysis and to provide basic data about the future direction of research on domestic education policy based on the findings of analysis. Methods By searching for data from the database of the Korea Education & Research Information Service and the website of the Korea Educational Administration Society, this author collected data about theses on ‘education policy’ published in the Journal of Educational Administration in systematic ways, and for final analysis, 218 theses were selected. The criteria of analysis were set as sector areas and purposes, policy processes and levels, and research methods, etc. As part of reviewing the literatures, Excel program was utilized to conduct frequency analysis and cross-tabulation analysis. Results First, according to the results of analyzing research trends by sector areas with 218 educational policy-related theses published in Journal of Educational Administration from 2008 to 2021, elementary and secondary education, higher education, and teachers were found in order. Concerning the topics of research, free semester policy, innovative school policy, the teacher competency development & evaluation system, and principal competition system were found in order. Regarding the purposes of research, analysis on the current status and condition, political alternatives and measures for improvement, and verification and application were found in order. Second, about the trends of research in policy processes, policy evaluation, policy execution, and policy decision were found in order, and in policy levels, the national level, city/province level, and the unit school level were found in order. Third, in the trends of research regarding data collection methods, literatures, statistical data, and questionnaires were found in order, and about the forms of research, analytic research, descriptive research, and comparative research were found in order. Conclusions Based on the above results of analyzing the trends of research on educational policy, this researcher has derived following conclusions. Major research trends are associated with the areas of elementary and secondary education, research topics of the free semester system and innovative school policy, research purposes of analysis on the current status and actual condition, processes of policy evaluation, the national level, the method of collecting literatures, and the form of analytic research. Follow-up research will have to be conducted from the perspective of broadening the range of research regarding various sector areas, research purposes, or the pursuit of diversity in the forms of research.

2003-2023년 항공 경영 마케팅 연구의 변천: 한국항공경영학회지 기반 의미연결망 분석 - 20년간의 논문 데이터에 대한 체계적 접근을 통한 포괄적 이해 -

고민환 한국항공경영학회 2024 한국항공경영학회지 Vol.22 No.1

This study analyzes the trends in aviation management research by examining marketing-related papers published in the Journal of Aviation Management Society of Korea over the past 20 years. Utilizing semantic network analysis techniques, the study comprehensively reviews 71 papers from 2003 to 2023, capturing the evolving paradigms of aviation management research. The study analyzes the annual trends of paper publication, changes in research fields, dynamics of keywords, methodologies applied, patterns of variable usage, and the most frequently referenced papers to present the current state and future directions of aviation marketing research. The findings indicate that the year 2019 saw the highest number of publications, reflecting vigorous research activities in the aviation industry. However, the decrease in the number of research papers in 2021 reflects the stagnation of the aviation industry and the contraction of research activities due to the COVID-19 pandemic. Despite the emergence of new trends such as increased revenue in non-face-to-face services and air transport during the pandemic, research in these areas has not met expectations, suggesting a need for expansion and development of new research topics. Trend analysis of research topics revealed that service quality, branding and marketing strategies, and customer satisfaction have been consistently researched as major themes. While research related to service quality has been steady, studies related to customers have shown a declining trend. This underscores the necessity for research in relatively underexplored areas such as digital marketing strategies, sustainable marketing strategies, customer behavior analysis, and data-based predictive modeling. In terms of research methodology, structural equation modeling was the most employed, along with a variety of statistical and qualitative analyses. This indicates that aviation management research comprehensively addresses a wide range of issues. Future research should diversify analysis methods by incorporating new techniques such as machine learning and AI-based analysis and by combining multiple methods within a single study to deepen research and enhance methodological diversity through collaboration among researchers with varied expertise. Frequency analysis results show that ‘customer experience’ is a predominant research theme, supported by frequent mentions of terms such as ‘customer,’ ‘service,’ ‘consumer,’ ‘relationship,’ ‘satisfaction,’ and ‘value.’ Marketing terms like ‘brand,’ ‘strategy,’ and ‘market’ were also prominently mentioned, and the emergence of ‘mobile’ underscores the importance of digital engagement and mobile platforms. However, research related to ‘sustainability’ was relatively scarce, indicating a need for an increase in studies related to ESG management in future research. Through N-gram and CONCOR analyses, the study attempted to cluster research topics, identifying key research clusters such as marketing strategies, digital services, airline branding, and mileage programs. In-depth research on the interactions and impacts between these clusters is required. Lastly, QAP correlation analysis confirmed that despite the pandemic, the research themes and interests of the aviation management field have not significantly changed. This suggests that aviation management research maintains certain core themes over time but also indicates the need for a flexible response to rapidly changing external environments. This study provides important directional insights to researchers and strategic insights for the sustainable growth and competitive enhancement of the aviation industry by systematically analyzing the trends in aviation management research. 이 연구는 한국항공경영학회지에 게재된 마케팅 관련 논문을 대상으로 지난 20년 간의 연구 동향을 분석하였다. 의미연결망 분석 기법을 활용하여 2003년부터 2023년까지의 논문 71편을 종합적으로 검토하고, 이를 통해 항공경영 연구의 진화하는 패러다임을 파악하였다. 연구는 논문의 연도별 발표 추세, 연구 분야의 변화, 핵심어의 동태, 연구 방법론의 적용, 변수의 사용 패턴, 그리고 가장 빈번하게 참조된 논문들을 분석하여 항공 마케팅 연구의 현재 상태와 미래 방향을 제시하였다. 분석 결과, 2019년에 가장 많은 논문이 발표되었으며, 이는 항공산업의 활발한 연구 활동을 반영한다. 그러나 2021년에 연구 논문의 수가 감소한 것은 코로나19 팬데믹으로 인한 항공 산업의 정체와 연구 활동의 위축을 나타낸다. 이 기간 동안 비대면 서비스와 항공 운송 분야의 수익 증가에도 불구하고, 해당 분야의 연구는 기대에 미치지 못했다는 점에서, 연구의 확장과 새로운 연구 주제의 개발이 필요함을 시사한다. 연구 주제의 트렌드 분석에서는 서비스 품질, 브랜드 및 마케팅 전략, 고객 만족도가 지속적으로 연구되어 온 주요 주제로 확인되었다. 이 중 서비스 품질과 관련된 연구는 꾸준히 이루어져 왔으나, 고객 관련 연구는 감소하는 경향을 보였다. 이는 디지털 마케팅 전략, 지속 가능한 마케팅 전략, 고객 행동 분석 및 데이터 기반 예측 모델링에 대한 연구의 필요성을 강조한다. 연구 방법론의 적용 측면에서는 구조방정식 모델링이 가장 많이 사용되었으며, 이외에도 다양한 통계적 분석 방법과 정성적 분석이 활용되었다. 이는 항공경영 연구가 다양한 문제를 포괄적으로 다루고 있음을 나타낸다. 또한, 머신러닝과 인공지능 기반 분석 기법의 도입과 다중 분석 방법의 조합 사용이 연구의 깊이를 더하고, 다양한 전문 지식을 가진 연구자들 간의 협업을 통해 분석 방법의 다양성을 강화할 필요가 있다. 빈도분석 결과, ‘고객 경험’이 주요 연구 주제로 자리 잡고 있으며, ‘고객’, ‘서비스’, ‘소비자’, ‘관계’, ‘만족’, ‘가치’ 등의 용어가 빈번하게 언급되었다. 마케팅 용어로는 ‘브랜드’, ‘전략’, ‘시장’ 등이 주요하게 언급되었고, ‘모바일’의 등장은 디지털 참여와 모바일 플랫폼의 중요성을 강조한다. 그러나 ‘지속 가능성’과 관련된 연구는 상대적으로 적은 것으로 나타나, 향후 연구에서는 ESG경영과 관련된 주제에 대한 연구가 증가할 필요가 있다. N-gram 분석과 CONCOR 분석을 통해 연구 주제의 군집화를 시도하였고, 이를 통해 마케팅 전략, 디지털 서비스, 항공사 브랜드, 마일리지 프로그램 등의 주요 연구 군집을 식별하였다. 이러한 군집들 간의 상호작용 및 영향에 대한 깊이 있는 연구가 요구된다. 마지막으로, QAP 상관분석을 통해 팬데믹 기간 동안에도 항공경영학 연구의 주제와 관심사가 크게 변화하지 않았음을 확인하였다. 이는 항공경영 연구가 일정한 핵심 주제를 유지하며 진행되고 있음을 나타내지만, 동시에 빠르게 변화하는 외부 환경에 대한 유연한 반응의 필요성을 시사한다. 이 연구는 항공경영학 분야의 연구 동향을 체계적으로 분석함으로써, 연구자들에게 중요한 방향성을 제공하고, 항공산업의 지속 가능한 성장과 경쟁력 강화를 위한 전략적 통찰력을 제공한다.

학문 목적 한국어교육의 연구 유형 분류와 연구 방법의 동향 분석

나원주,주현하,김영규 국제한국어교육학회 2017 한국어 교육 Vol.28 No.1

Wonju Na, Hyunha Joo, Youngkyu Kim. 2017. A Classification of Research Types and Trend Analysis of Research Methods in Korean for Academic Purposes. Journal of Korean Language Education 28-1: 79-111. This study is a trend analysis study that discusses the current status and directions of research methods of KAP research. The existing trend ana lysis studies dealing with research methods have problems in that the classification criteria of the studies used are rough and different from each other, rendering comparison between studies being difficult, and do not comprehensively cover research methods of diversified KAP research. Therefore, this study examined the research methods of KAP research from a critical point of view and suggested a set of classification criteria and an analysis framework that can be used consistently in classification and analysis of future KAP research methods. Based on the theoretical background of second language studies and applied linguistics, this study revised and supplemented Brown (2015)’s research method types and selected 289 journals and theses/dissertations from 2012 to 2016 and classified them into a new analysis framework. The primary and secondary studies, which are the major categories, were 219 and 70, respectively, so it was confirmed that there were much more primary studies. The primary studies then were subdivided into 128 qualitative research studies, 142 survey research studies, and 23 quantitative research studies, pointing to the trend that survey and qualitative research methods were preferred. In the qualitative research approaches, there were 21 action research studies, which were used the most. In addition, such qualitative research approaches as case studies and narrative inquiries which were difficult to find in the past, have gradually increased, confirming that the diversification of research methods is becoming common. However, there were still many studies that did not explicitly put forward research questions and there were many studies that did not report reliability and effect sizes in quantitative research. Of the 23 quantitative studies, only 50% reported reliability, and only three reported effect sizes. In order to enable systematic reviews (meta-analysis) of quantitative research and expect quality improvement of research in future KAP research, reporting of quantitative research should be done more systematically. This study is meaningful in that a systematic and detailed analysis framework was proposed to classify various research methods in the future and that the problems and directions for improvement of the KAP research methods were discussed through the analysis of the research trend of the KAP studies for the last 5 years. (Ewha Womans University)

의미연결망 분석을 이용한 웹툰의 연구 동향 분석

정위,최동혁 한국만화애니메이션학회 2020 만화애니메이션연구 Vol.- No.59

This study analyzed the research trends of webtoons through semantic network analysis. Webtoons have received a lot of public, practical and academic attention over the past 15 years. However, the research results have not been comprehensively compiled yet. In response, 271 related papers were selected for analysis in order to identify research trends in core research and detailed research areas in the webtoon field, and a total of 726 keywords were extracted from these papers and a semantic network analysis was conducted on 99 keywords. The semantic network analysis provides a summary of the overall research performance in network form, based on the interrelationships between the detailed concepts used in a particular research field, as well as deriving the areas of study among the detailed concepts. In this study, a detailed technique of semantic network analysis was performed: keyword frequency analysis, centrality analysis, and cohesive group analysis by CONCOR. Key research concepts of webtoon research can be derived through frequency analysis and centrality degree analysis and can capture sub-research areas of webtoons based on the structural equivalence of the terminology index. The concept of core research in the field of webtoon research was identified through frequency analysis and centrality degree analysis through semantic network analysis. Keywords for narrative, storytelling, business model, cartoon and media conversion showed high frequency, followed by narrative, storytelling, business model, cartoon, content, platform, media conversion and brand webtoon. Overall, keywords such as narratives, storytelling, business models, and cartoons appear more frequently and are more centrality degree so it was understood that they are the main concept of the webtoon research. After checking the detailed research areas of the webtoon research field, it was confirmed that there were seven detailed research areas. [Group 1] Commercial use of webtoons, [Group 2] participation of webtoon users, [Group 3] production of webtoons, [Group 4] webtoons and Internet culture, [Group 5] webtoons education, [Group 6] media OSMU, and [Group 7] webtoons copyright. Based on the above analysis results, this study presented suggestions on the trend of webtoon research and methodology, and suggested research tasks and directions that should be solved in future research. 웹툰은 지난 15년 동안 대중적으로, 실무적으로, 또 학술적으로 많은 관심을 받아 온 주제이다. 그런데 아직 그 연구 내용과 결과가 종합적으 로 정리된 바 없다. 이에 본 연구는 의미연결망 분석을 통해 웹툰 연구를 분석하여 웹툰 분야의 핵심연구 및 세부연구영역 등의 연구 동향을 포착 하였다. 의미연결망 분석의 세부 기법인 빈도분석과 연결 중심성 분석을 통해 웹툰 연구의 핵심 연구개념을 도출할 수 있다. 구조적 등위성 분석 을 통해서는 웹툰의 하위연구 영역을 포착할 수 있다. 본 연구에서는 웹툰 관련 논문 271편을 분석대상으로 선정했으며, 이들 논문에서 총 726개의 키워드를 추출하여 그중 99개의 키워드를 대 상으로 의미연결망 분석을 하였다. 의미연결망 분석의 세부 기법인 키워 드 빈도분석, 연결 중심성 분석 및 구조적 등위성 분석을 하였다. 서사, 스토리텔링, 비즈니스 모델, 만화, 매체전환의 키워드가 높은 출현빈도를 보였으며, 서사, 스토리텔링, 비즈니스 모델, 만화, 콘텐츠, 플랫폼, 매체 전환, 브랜드 웹툰의 순으로 연결 중심성이 높게 나타났다. 서사, 스토리 텔링, 비즈니스모델, 만화와 같은 키워드들이 출현빈도도 높고 연결 중심 성도 높은 편이어서 웹툰 연구에서 주목하는 중점 개념임을 파악하였다. 웹툰 연구 분야의 세부 연구영역을 확인한 결과 7개의 세부 연구영역이 있는 것으로 확인되었다. [그룹 1] 웹툰의 상업적 활용, [그룹2] 웹툰 사 용자 참여, [그룹3] 웹툰 연출, [그룹4] 웹툰과 인터넷문화, [그룹5] 웹 툰 교육, [그룹6] 매체전환, [그룹7] 웹툰 저작권으로 그룹의 특성을 제 시하였다. 이상의 연구결과를 바탕으로 본 연구는 웹툰 연구 동향 및 방 법론에 대한 시사점을 제시하였으며, 향후 연구에서 해결해야 할 연구 과 제와 방향을 제언하였다

빅데이터를 기반으로 한 경관디자인 국내 학위 연구 동향 분석

박혜경,이재호 한국공간디자인학회 2023 한국공간디자인학회논문집 Vol.18 No.7

(Background and Purpose) Research based on big data is being actively conducted in various fields such as cities, architecture, landscapes, and design. The scope of use of big data is gradually expanding, and the number of cases using big data is steadily increasing in the landscape design field, but trend analysis or trend research related to this is still insufficient. Therefore, this study aims to identify the types and analysis techniques of big data used according to the research characteristics and targets in the landscape design field by conducting a survey and trend analysis of studies using big data. Through this, the characteristics of big data analysis techniques that are highly utilized by type and field/target of research can be incorporated into the landscape design process, or it is intended to be a foundation study that can contribute to the insights or follow-up research necessary for the proposal of new research. (Method) This study conducted the first and second surveys that limit the categories to be investigated, targeting domestic master's and doctoral dissertations related to design using big data. In the first survey, seven words (design, landscape, city, architecture, product, vision, design + landscape) related to big data and design were combined to search for papers, and three words related to the main perspective of this study (city, landscape, design) were narrowed down, and the research fields of these studies and applied big data analysis techniques were identified. In the second survey, "methodology" and "process" were added and recombined into the subject word to extract research used in design based on the first survey. In this process, a total of 47 papers were identified, the final four were selected and the research contents were analyzed. (Results) The surveys confirmed that the interest and utilization of research using big data are continuously increasing in all areas of "landscape", "design", and "city". Text mining techniques were being used as the most basic method for big data analysis, and it was confirmed that certain phenomena were analyzed from various angles by using text mining in parallel or additional separate techniques depending on the subject. (Conclusions) Research in the field of landscape design using big data analysis techniques is expected to continue in the future. In particular, in the landscape design-related fields, the use of opinion mining (emotional analysis) was on the rise to solve user-centered problems, and need to revitalize various research that can discover new formativeness and aesthetics through emotion. In addition, if guidelines and processes are developed by applying and combining various big data techniques, the level of related fields is expected to increase, such as minimizing errors in carrying out certain tasks and securing quality above a certain level.

토픽 모델링을 활용한 컨설팅 연구동향 분석

김민관,이용,한창희 한국산업경영시스템학회 2017 한국산업경영시스템학회지 Vol.40 No.4

‘Consulting’, which is the main research topic of the knowledge service industry, is a field of study that is essential for the growth and development of companies and proliferation to specialized fields. However, it is difficult to grasp the current status of international research related to consulting, mainly on which topics are being studied, and what are the latest research topics. The purpose of this study is to analyze the research trends of academic research related to ‘consulting’ by applying quantitative analysis such as topic modeling and statistic analysis. In this study, we collected statistical data related to consulting in the Scopus DB of Elsevier, which is a representative academic database, and conducted a quantitative analysis on 15,888 documents. We scientifically analyzed the research trends related to consulting based on the bibliographic data of academic research published all over the world. Specifically, the trends of the number of articles published in the major countries including Korea, the author key word trend, and the research topic trend were compared by country and year. This study is significant in that it presents the result of quantitative analysis based on bibliographic data in the academic DB in order to scientifically analyze the trend of academic research related to consulting. Especially, it is meaningful that the traditional frequency-based quantitative bibliographic analysis method and the text mining (topic modeling) technique are used together and analyzed. The results of this study can be used as a tool to guide the direction of research in consulting field. It is expected that it will help to predict the promising field, changes and trends of consulting industry related research through the trend analysis.

Trend Analysis of Nursing Research Published in the Journal of the Korea Convergence Society

Aeri Jang,Mi Ok Song,Jeong Eun Moon 한국간호과학회 2021 한국간호과학회 학술대회 Vol.2021 No.10

Aim(s): This study aimed to analyzed the pater on nursing in the Journal of the Korea Convergence Society(2010-2020), to identify the research trends and to propose the future direction development of nursing research. Method(s): Of the total of 2,597 papers, 421 papers in the field of nursing were analyzed for research type and methodological characteristics. For frequency analysis of analysis items, SPSS 25.0 (IBM Corp., Armonk, NY, USA) and Netminer 4.3 software were used for visualization of key words. Our researchers analyzed the number of authors, author affiliation, and research purpose to analyze the characteristics of the study type. And for the analysis of key words, visualization analysis was performed using a word cloud. Result(s): As a result of analysis of the research type characteristics of published papers in 421 nursing studies, the number of authors was the highest with 184 studies (43.7%) with two authors. As a result of the analysis of author affiliation, in the case of the 1st author, nursing professors were the most distributed with 311 articles (73.9%) of the total, followed by nursing graduate students with 43 articles (10.2%), nurses with 40 articles (9.5%), and nursing. There were 3 lectures (0.7%) of each lecturer and researcher in the nursing field. As a result of analyzing the purpose of the study, 288 studies (68.4%) correspond to fact-finding research, showing the highest frequency, followed by program development and evaluation with 52 studies (12.4%). As a result of performing word cloud analysis based on the frequency of appearance of the presented keywords, the key word with the highest frequency was health. As a result of analyzing the characteristics of the research methods of 421 published papers, 69.4% of the research designs were research studies, and 63.2% of the studies provided the basis for sampling the number of papers. G-power program accounted for 92.9% of the program used for sampling. The majority of study participants were adults (42.8%), and questionnaires (69.1%) were used the most for data collection. There were 299 studies (71.0%) of all studies that suggested the reliability and validity of the measurement tool. Conclusion(s): Based on this result, the Journal of the Journal of the Korea Convergence Society should cooperated that nursing research can be integrated with other fields, continued to challenge creative research methodologies, developed research themes, and reinforced of screening standards for quality improvement. For this reason, it is suggested a trend analysis research of convergence research with various field researchers and a multi-faceted analysis study on research trends related to nursing.