• Title/Summary/Keyword: Keyword Trends

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Semantic Network Analysis on the MIS Research Keywords: APJIS and MIS Quarterly 2005~2009

  • Lee, Sung-Joon;Choi, Jun-Ho;Kim, Hee-Woong
    • Asia pacific journal of information systems
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    • v.20 no.4
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    • pp.25-51
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    • 2010
  • This study compares and contrasts the intellectual development of the MIS field in Korea from 2005 to 2009 to that of international trends by using a keyword co-occurrence network analysis of the two flagship journals: APJIS and MIS Quarterly. From 316 research articles in these two journals, 132 unique and most frequently co-occurred keywords were put into analysis. The results of structural equivalence show a mild correlation between APJIS and MIS Quarterly. The e-commerce, trust, and technology adoption are the high frequency keywords in both journals. In Korea e-learning, purchasing, and recommendation systems turn out to be important keywords while outsourcing, research method, quantitative method, design research, information theory, and empirical research are in average international journals. This connotes that the Korean scholarship tends to focus more on practically oriented topics, but the clustering and relational mapping of research topics in each journal show a mild level of overlap with distinctive orientations due to intrinsic disparities depending on the concerned journals' geographical scopes, namely domestic or global.

A Study on the Emerging Technology Mapping Through Co-word Analysis (Co-word Analysis을 통한 신기술 분야 도식화 방법에 관한 연구)

  • Lee, Woo-Hyoung;Kim, Yun-Myung;Park, Gak-Ro;Lee, Myoung-Ho
    • Korean Management Science Review
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    • v.23 no.3
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    • pp.77-93
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    • 2006
  • In the highly competitive world, there has been a concomitant increase in the need for the research and planning methodology, which can perform an advanced assessment of technological opportunities and an early Perception of threats and possibilities of the emerging technology according to the nation's economic and social status. This research is aiming to provide indicators and visualization methods to measure the latest research trend and aspect underlying scientific and technological documents to researchers and policy planners using 'Co-word Analysis' Organic light emitting diodes(OLED) is an emerging technology in various fields of display and which has a highly prospective market value. In this paper, we presented an analysis on OLED. Co-word analysis was employed to reveal patterns and trends in the OLED fields by measuring the association strength of terms representatives of relevant publications or other texts produced in the OLED field. Data were collected from SCI and the critical keywords could De extracted from the author keywords. These extracted keywords were further standardized. In order to trace the dynamic changes in the OLED field, we presented a variety of technology mapping. The results showed that the OLED field has some established research theme and also rapidly transforms to embrace new themes.

Analysis of Research Trends of Lifelong Education through Social Network (사회연결망을 통한 평생교육 연구동향 분석)

  • KIM, Taeyeon;KANG, Beodeul
    • Journal of Fisheries and Marine Sciences Education
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    • v.29 no.1
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    • pp.224-233
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    • 2017
  • This study aims to analyze the research trend of lifelong education in Korea over the last 10 years based on social network analysis. To do this, a dataset has been collected from KCI (Korea Citation Index) database. According to the results of the study, firstly, the current status of lifelong education research by the year in the last 10 years showed a relatively high ratio between 2008 and 2009 and 2014 ~ 2015. Secondly, the most active networks between authors and journals constitute a key group in the order of 'Lifelong Education Study' and 'Lifelong Learning Society'. Thirdly, the research institutes with the largest number of lifelong education research papers are Soongsil University, Dong-Eui University, and Korea National Open University. In the network with the authors' network, the only authors were K8 working at Chonbuk National University, and the co-authors, H4, who works at Kyungpook National University, showed the most active network. Finally, the core keyword network based on the thesis topic was analyzed as having higher connection centrality in the order of 'lifelong education', 'lifelong educator', and 'university lifelong education'.

Research Trends on Mindfulness Meditation in Korea (국내 저널에 게재된 마음챙김 명상관련 연구 동향 분석)

  • Yang, Yeong-Pil;Han, Chang-Hyun;Park, Ji-Ha;Lee, Sang-Nam
    • Journal of Korean Medical classics
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    • v.23 no.1
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    • pp.81-89
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    • 2010
  • Background : Meditation is one healing therapy used to prevent and cure ailments and to improve health through regular practice. Although Meditation are within the paradigm of modern Western medical science, effects on the human body could be possible. Objectives : This study performed a systematic review of the literature published in Korea focused on mindfulness meditation (MM), which is being applied as mind-body therapy around the USA lately. Method : Three hundred sixty six articles were found after searching with keyword, 'mindfulness meditation (MM)' in 6 journals and web databases. Ninety papers related MM were analyzed trend. Result : Since the 2000s, MM papers in the Korean Literature is increased. Published 78 papers on psychology were most. 15 papers published in The Journal of Korean Psychological Association are the best in many areas related to psychology. Most people have submitted papers related to MM was Kim Jeong-ho. Conclusions : MM is being clinically applied at both western and oriental hospital in Korea, but more clinical trials with the high quality are needed to support its scientific basis.

A Study on Children's Cosmetics Based on Analyzing Internet News and Best Items (인터넷 기사와 Best Item 분석을 통해 살펴본 어린이 화장품 연구)

  • Shim, Joonyoung
    • Journal of Fashion Business
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    • v.22 no.2
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    • pp.134-149
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    • 2018
  • The number of children wearing make-up is increasing. "Children's cosmetics" is not a legal term though it is commonly used. The purpose of this study is to analyze discussions on children's cosmetics based on news articles found on the internet. This study also identifies what products are being distributed as children's cosmetics. Keyword searches were conducted using internet portal sites. Information was extracted from news articles and Best Item 100 for children's cosmetics. The results of analyzing news articles and Best Item 100 lists are as follows : 1. There were two main discussion topics in news articles. The first topic was related to marketing(the branding and trends of children's cosmetics). The other topic was about government regulations(side effects, harmful ingredients, control, regulations, attention, proper product usage, product categorization, and the overall safety of children's cosmetics). By 2014, many articles had covered government control and regulation. However, since 2017, news articles have focused on the product categorization and the concern for overall safety has dramatically increased. 2. Three different product categories have appeared in the Best Item 100; they are cosmetics, toys, and other products. In market, consumers recognized children's cosmetics as cosmetics and also as toys. Between 2017 and 2018's Best Item, other products are dramatically down, color cosmetics and single cosmetics are on the rise, and the purchase of domestic products has increased.

Study of Machine-Learning Classifier and Feature Set Selection for Intent Classification of Korean Tweets about Food Safety

  • Yeom, Ha-Neul;Hwang, Myunggwon;Hwang, Mi-Nyeong;Jung, Hanmin
    • Journal of Information Science Theory and Practice
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    • v.2 no.3
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    • pp.29-39
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    • 2014
  • In recent years, several studies have proposed making use of the Twitter micro-blogging service to track various trends in online media and discussion. In this study, we specifically examine the use of Twitter to track discussions of food safety in the Korean language. Given the irregularity of keyword use in most tweets, we focus on optimistic machine-learning and feature set selection to classify collected tweets. We build the classifier model using Naive Bayes & Naive Bayes Multinomial, Support Vector Machine, and Decision Tree Algorithms, all of which show good performance. To select an optimum feature set, we construct a basic feature set as a standard for performance comparison, so that further test feature sets can be evaluated. Experiments show that precision and F-measure performance are best when using a Naive Bayes Multinomial classifier model with a test feature set defined by extracting Substantive, Predicate, Modifier, and Interjection parts of speech.

Research Trend Analysis in the Performance Measurement and Monitoring of Construction Projects through Keyword Analysis (선행연구 키워드 분석을 통한 건설 프로젝트의 성과측정 및 관리분야의 연구 트렌드 분석)

  • Kim, Chang-Won;Kim, Taehoon;Lim, Hyunsu
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.171-172
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    • 2018
  • Performance measurement and management in the construction industry has traditionally been regarded as the major factor for successful business execution. In addition, there is emphasis on the function of performance measurement and management that can early warn potential risks and poor performance in project execution environment changes. Previous studies have made various attempts to measure the quantitative performance of construction projects, and the research to derive the link between the results and the issue that can meet the future needs is expected to provide valuable information. The purpose of this study is to analyze the research trends based on the keywords presented in previous studies on the performance measurement and management of construction projects. Considering that the results presented in the existing literature can be an indicator of the evolution of the sector before it is applied to industry, the result of this study is expected to be used as a basic data to support the establishment of research direction in the future.

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Review of the domestic research trends in the study of Korean herbal medicine with anti-inflammation effects (국내에서 연구된 항염 효능이 있는 한약재의 본초학적 분석)

  • Ha, Hee-Jung;Kim, Yun-Jung;Kweon, Kee-Tae;Kim, Jin-Ju
    • The Korea Journal of Herbology
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    • v.26 no.4
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    • pp.15-22
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    • 2011
  • Objective : This paper analyzed the research trend of the experiment papers where inflammation was treated based on the oriental herbs among the issued papers of many areas such as oriental medicine and pharmacy, etc. Method : All experiment papers on the oriental herbs have been searched with the keyword of 'inflammation' in the internet sites like KISTI, OASIS, etc., and then they are analyzed on the basis of the effective classification of Korean herbal medicine, the frequency of research on Korean herbal medicine, and so forth. Result & Conclusion : It is presumed that anti-inflammation, the concept of Western Medicine, is related to clearing away heat, the concept of Korean herbal medicine, because it is ascertained that the highest cases is kinds of Korean herbal medicine effectively classified as clearing away heat medicine in the research of anti-inflammation. Also, it is checked that a ginseng is the most researched among the 138 Korean herbal medicine.

Analysis of patents on the recycling technologies for the used polystyrene (폴리스티렌 수지(樹脂) 재활용(再活用) 기술(技術)의 특허(特許) 동향분석(動向分析))

  • Kang, Tae-Won;Jung, Jin-Ki;Lee, Jae-Chun;Kang, Kyung-Seok
    • Resources Recycling
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    • v.14 no.5 s.67
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    • pp.3-12
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    • 2005
  • In this paper the world wide patents on the recycle of used polystyrene were inspected. The trends and directions of on going and future technologies on this matter were analyzed. The range of search was limited in the open patents and in DB of U.S.A.(USPTO, DELPHION), Japan(PAJ), Europe(EPO), and Korea(KIPRIS). For the search condition the keyword, polystyrene or PS, and IPC classification, B29-017 and C08J-011 were used. The total of 534 cases was selected and analyzed according to years, countries, companies, and technologies.

Issues for Technology-Humanities Convergence : Patent Keyword Analysis (특허 키워드 분석을 활용한 기술인문융합 현황 분석)

  • Kim, Jeeeun;Lee, Sungjoo
    • Journal of Korean Institute of Industrial Engineers
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    • v.42 no.3
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    • pp.231-240
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    • 2016
  • As the limitation of the existing convergence is pointed out, technology-humanities convergence which highlights the enhancement of the quality of life of humans, is focused as a solution to facilitate sustainable technological innovation. Technology-humanities convergence has already occurred in various industries, of which a considerable number of successful cases can be noted. However, few efforts have been made to investigate technologyhumanities convergence as an independent academic field. Therefore, this paper aimed to identify the status of technology-humanities convergence. To do this, first, a definition of technology-humanities convergence was proposed. Second, based on Maslow's theory, the types of human needs and related key words were extracted. Third, patents related to human needs were collected from the United States Patent and Trademark Office (2000~2014). Fourth and last, the status of technology-humanities convergence was analyzed in terms of "convergence trends" and "convergence areas." This research is expected to promote more creative and human-centered performances of innovation as well as to support decision-making when the innovation strategy-as attempted by the quantitative analysis of technology-humanities convergence in the perspective of sustainable competitiveness-is established.