• 제목/요약/키워드: Keyword Trends

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계량서지학적 분석과 키워드 기반의 메타 분석을 통한 수산경영학 관련연구의 분석 (A Bibliometric Analysis and Keyword-based Meta-Analysis of Fisheries Management Research)

  • 이동호;정이상
    • 수산경영론집
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    • 제38권2호
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    • pp.1-24
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    • 2007
  • The improvement and richness of research in a particular domain are fundamentally based on their own various research topics and scientific or systematic research methodology. Especially considering fisheries business administration as a branch of business administration, the interdisciplinary concept will be a important factor in the research of fisheries business administration. This study analyzes fisheries business administration research through bibliometric analysis and meta-analysis to examine meta-data including research trends, researcher characteristics, and keywords. The 225 source articles are all papers published from 1990 to 2006 in the Journal of Fisheries Business Administration Society of Korea. Comparing previous research from the 80s, the major areas of Korean fisheries business administration research have changed and the rate of co-researched papers has also increased. In keyword-based meta-analysis, the topics of recent research are well balanced and diversified but some structural and editorial problems still remain. The result from meta-data and bibliometric information gathered in this study will help create guidelines for carrying out further rigorous research and enhancing the quality of research in fisheries business administration.

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탈모 치료에 사용되는 레이저 출력에 관한 논문 연구 (Reviewing Research on Laser Output Used for Treatment of Hair Loss)

  • 목정일;이지은;서형식
    • 한방안이비인후피부과학회지
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    • 제27권2호
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    • pp.33-50
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    • 2014
  • Objective : The purpose of this study is to analyze research trends on laser output used for treatment of hair loss. Methods : We searched papers using Pubmed, NDSL, KISS, and RISS. First search used the keyword "Laser, Alopecia" in Pubmed. Inclusion criteria were last 15 years, English, related to output. Finally we searched papers using the keyword "Laser and Alopecia" in NDSL, KISS, and RISS. Inclusion criteria were the same as first research except for English. Results : A total of 43 studies were found, 28 studies were excluded and 15 studies were selected and analyzed. And of the 15 studies, 7 studies were foreign papers and 8 studies were domestic papers on clinical application of laser status. Mainly Used type of laser was a diode laser. As a result, we found that treatment group had more improvement than control group. The range of the laser-output was 1mW-150W in Alopecia laser therapy. Conclusions : Low-level (LLLT) as well as High-level laser therapy (HLLT) can be effectively used as an alternative to the treatment of alopecia. Thus, further attention and studies are needed on this topic in order to reduce the side effects and demonstrate the effectiveness clearly.

서비스 품질의 체계적 문헌 조사 연구: 계량서지학과 네트워크 분석을 중심으로 (A Systematic Literature Review on Service Quality: Bibliomertics and Network Analysis)

  • 정의범;박진수
    • 품질경영학회지
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    • 제47권2호
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    • pp.327-344
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    • 2019
  • Purpose: This study aims to conduct a systematic literature review to suitably identify wide and specific issues and topics on service quality in supply chain. Methods: This study is to investigate service quality in supply chain research using a systematic literature review methodology. In order to extract influential journals and papers, we used the SJR impact factor provided by the SCOPUS database. The collected 169 papers were analyzed using bibliometric analysis, citation analysis as well as keywords network. Results: We conducted a bibliometric analysis to identify top authors contributing to service quality in supply chain and their issues, and further examined important keywords and new emerging keywords. In addition, we extracted five influential papers by PageRank to clarify critical issues and divided into five clusters to identify topics of service quality in supply chain by using network-based approach. In order to examine comprehensive issues and topics of service quality in supply chain, we constructed a keyword network to observe difference in the classification of important keywords across network centrality measures. Conclusion: Our study reviewed literature on service quality in supply chain and explored the future directions and trends of service quality in supply chain.

공급사슬 리스크 관리 연구동향 분석: 네트워크 분석을 중심으로 (Bibliometric Network Analysis on Supply Chain Risk Management Research)

  • 편제범;나진성
    • 한국산업정보학회논문지
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    • 제23권6호
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    • pp.125-138
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    • 2018
  • 최근 기업은 급속한 기술의 변화, 고객 니즈의 다변화, 경쟁 환경의 심화 등으로 인한 시장요인 뿐만 아니라 천재지변, 테러, 사회 정치적 이해관계 등의 통제 불가능한 불안요인으로 인해 예측이 어렵고 불확실성이 높은 경영 환경에 놓여 있어, 리스크 관리의 중요성이 높아지고 있다. 본 연구의 목적은 최근 들어 관심이 높아지고 있는 리스크 관리의 연구 분야에 대해 공급사슬관리(SCM) 분야를 중심으로 연구 동향을 분석하고, 해당 분야의 핵심 연구를 파악하여 해당 분야의 유용한 학문적 정보를 파악하는 것이다. Scopus 데이터베이스를 활용하여 해외 저명한 저널에 게재된 논문 정보를 수집하여 키워드 네트워크 분석과 인용 및 공저자 정보로 생성되는 네트워크를 분석하였다.

군집분석 및 반응표면분석법을 활용한 반도체 공정 수율향상에 관한 연구 (Improving the Yield of Semiconductor Manufacturing Processes using Clustering Analysis and Response Surface Method)

  • 고관주;김나연;김용수
    • 품질경영학회지
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    • 제47권2호
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    • pp.381-395
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    • 2019
  • Purpose: This study aims to conduct a systematic literature review to suitably identify wide and specific issues and topics on service quality in supply chain. Methods: This study is to investigate service quality in supply chain research using a systematic literature review methodology. In order to extract influential journals and papers, we used the SJR impact factor provided by the SCOPUS database. The collected 169 papers were analyzed using bibliometric analysis, citation analysis as well as keywords network. Results: We conducted a bibliometric analysis to identify top authors contributing to service quality in supply chain and their issues, and further examined important keywords and new emerging keywords. In addition, we extracted five influential papers by PageRank to clarify critical issues and divided into five clusters to identify topics of service quality in supply chain by using network-based approach. In order to examine comprehensive issues and topics of service quality in supply chain, we constructed a keyword network to observe difference in the classification of important keywords across network centrality measures. Conclusion: Our study reviewed literature on service quality in supply chain and explored the future directions and trends of service quality in supply chain.

Covid 19 News Data Analysis and Visualization

  • Hur, Tai-Sung;Hwang, In-Yong
    • 한국컴퓨터정보학회논문지
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    • 제27권4호
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    • pp.37-43
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    • 2022
  • 본 논문에서는 2019년 12월부터 2020년 7월까지 약 8개월간 유통되었던 코로나19와 관련된 뉴스데이터를 이용하여 일자 및 지역별로 단어에 대한 빈도를 구하고, 결과를 활용하여 코로나19 환자에 대한 현황 데이터와의 상관관계를 시각화하였다. 뉴스데이터는 한국언론진흥재단에서 운영하고 있는 뉴스 빅데이터 시스템 '빅카인즈'에서 수집된 데이터를 활용하였다. 본 논문에서 제안하는 시각화 시스템은 지역과 기간을 선택하면 분석한 결과를 이용하여 전체 지역 대비 선택한 지역의 뉴스 빈도수, 선택한 지역의 주요 키워드, 주요 키워드의 지역별, 일자별 변화 등을 보여 주고 있다. 이러한 시각화를 통하여 이전에 발생하였던 사건에 대해 주요 키워드와 코로나19 확진자 및 감염자 추이를 확인할 수 있다.

Changes in the Cultural Trend of Use by Type of Green Infrastructure Before and After COVID-19 Using Blog Text Mining in Seoul

  • Chae, Jinhae;Cho, MinJoon
    • 인간식물환경학회지
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    • 제24권4호
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    • pp.415-427
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    • 2021
  • Background and objective: This study examined the changes in the cultural trend of use for green infrastructure in Seoul due to COVID-19 pandemic. Methods: The subjects of this study are 8 sites of green infrastructure selected by type: Forested green infrastructure, Watershed green infrastructure, Park green infrastructure, Walkway green infrastructure. The data used for analysis was blog posts for a total of four years from August 1, 2016 to July 31, 2020. The analysis method was conducted keyword frequency analysis, topic modeling, and related keyword analysis. Results: The results of this study are as follows. First, the number of posts on green infrastructure has increased since COVID-19, especially forested green infrastructure and watershed green infrastructure with abundant naturalness and high openness. Second, the cultural trend keywords before and after COVID-19 changed from large-scale to small-scale, community-based to individual-based activities, and nondaily to daily culture. Third, after COVID-19, topics and keywords related to coronavirus showed that the cultural trends were reflected on appreciation, activities, and dailiness based on natural resources. In sum, the interest in green infrastructure in Seoul has increased after COVID-19. Also, the change of green infrastructure represents the increased demand for experience that reflects the need and expectation for nature. Conclusion: The new trend of green Infrastructure in the pandemic era should be considered in the the individual relaxations & activities.

Analysis on Types of Golf Tourism After COVID-19 by using Big Data

  • Hyun Seok Kim;Munyeong Yun;Gi-Hwan Ryu
    • International Journal of Advanced Culture Technology
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    • 제12권1호
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    • pp.270-275
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    • 2024
  • Introduction. In this study, purpose is to analize the types of golf tourism, inbound or outbound, by using big data and see how movement of industry is being changed and what changes have been made during and after Covid-19 in golf industry. Method Using Textom, a big data analysis tool, "golf tourism" and "Covid-19" were selected as keywords, and search frequency information of Naver and Daum was collected for a year from 1 st January, 2023 to 31st December, 2023, and data preprocessing was conducted based on this. For the suitability of the study and more accurate data, data not related to "golf tourism" was removed through the refining process, and similar keywords were grouped into the same keyword to perform analysis. As a result of the word refining process, top 36 keywords with the highest relevance and search frequency were selected and applied to this study. The top 36 keywords derived through word purification were subjected to TF-IDF analysis, visualization analysis using Ucinet6 and NetDraw programs, network analysis between keywords, and cluster analysis between each keyword through Concor analysis. Results By using big data analysis, it was found out option of oversea golf tourism is affecting on inbound golf travel. "Golf", "Tourism", "Vietnam", "Thailand" showed high frequencies, which proves that oversea golf tour is now the re-coming trends.

SNA 기반 키워드 네트워크 분석을 활용한 '통상정보연구'의 연구동향 분석 (Research Trend Analysis of 'International Commerce and Information Review' Using SNA-based Keyword Network Analysis)

  • 양근우
    • 통상정보연구
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    • 제19권1호
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    • pp.23-42
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    • 2017
  • 1999년 창간된 이래 학술지 '통상정보연구'는 통상정보 및 시스템, 전자무역, 지역연구, 전자상거래, 서비스무역, 무역 관련 법규 등 관련 분야 연구자들의 우수한 연구 성과를 확산하는데 크게 기여하고 있다. 본 연구는 소셜 네트워크 분석 기법을 적용하여 통상정보연구에 게재된 연구 논문의 키워드 분석을 통해 통상정보 분야 주요 연구 동향 및 특징을 파악하였다. 학회 홈페이지를 통해 수집한 논문 키워드 자료를 분석에 맞도록 수정한 후 동시 출현 연구 키워드 네트워크 분석용 자료를 생성하였다. 네트워크 분석과 시각화를 위해 NodeXL Pro를 활용하였으며 클러스터링 분석을 통해 통상정보 분야 연구자들의 주요 연구 관심 분야 및 특징을 파악하였다. 또한 융복합 연구에 중개자 역할을 하는 주요한 연구 키워드들도 도출하였다.

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사회연결망 분석을 활용한 나노기술 연구동향 국가간 비교분석: 탄소나노소재분야 중심 (Comparative Analysis of Co-Authorship and Keyword Network for Nanotechnology: Carbon Nanomaterials Field)

  • 배성훈;김재신;신광민;윤진선;강상규;김준현;이정우;김민관;한창희
    • 한국생산제조학회지
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    • 제26권2호
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    • pp.172-184
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    • 2017
  • Nanotechnology is a leading branch of technology and is expected to improve national industrial competitiveness. For maintaining a sustainable growth in nanotechnology, Korean government has set up specific plans from a long-term perspective. One of these plans is tracking and promoting certain potential technologies called Future 30 Nanotechnologies. This study aims to develop an analysis framework for comprehending the Future 30 Nanotechnologies. We applied this framework to the carbon nanomaterials field. Through co-authorship and keyword network analysis, we identified the research trends of three countries (i.e., Korea, US, and China.). This research framework could be utilized in the development of a nanotechnology policy.