• The Journal of the Korea Contents Association
• /
• v.17 no.8
• /
• pp.490-505
• /
• 2017

The purpose of this study was to analyze the research trend of transformational leadership published in domestic journals in the last 10 years and to find some implications for future research. For this purpose, 337 research papers on transformational leadership from 2007 to 2016 were reviewed. This study used descriptive statistics by frequency and percentage and a network text analysis method. The findings of the study are as follows. First, the annual average number of papers published was 33. Second, 'human resource management research' was the most common topic. Third, most of the research subjects were business employees. Fourth, the research method trend analysis showed that the highest proportion was in the quantitative research. Fifth, 'transactional leadership' showed the highest frequency as a result of analyzing the keywords presented in the abstract of the paper. Sixth, as a result of analyzing the network texts, those having the trend of being analyzed with a close connections were 'transactional leadership', which had the highest connection to transformational leadership, showing the closest relationship with 'role satisfaction'.

• The Journal of the Korea Contents Association
• /
• v.18 no.9
• /
• pp.14-33
• /
• 2018

The purpose of this study to analyze the informatization trends in Korea through objective newspaper data for the period from 1998 to 2017 for informatization and library in four newspapers including KyoungHyang Newspaper, Kookmin Ilbo, Hankyoreh and Hankookilbo. Based on the analysis results of metadata and related words using BIGKinds, a news big data system, this study presented analysis of simple frequency, classification and classification of the keywords 'information', 'informatization' and 'library'. Based on the results, we compared and analyzed the tendency of informatization in the media through comparison with the 'Information White Paper' which is the publication of government agencies and with research about the research topic of 4 academic journals in the Library and Information Science field. This study tried to interpret the trends of informatization based on the media and it is meaningful that we analyzed the big data of newspaper article which is the long term and time series data. Based on the results of the study, implications of the growth and development of libraries with domestic informatization were suggested. It is expected that we will be able to create a basic framework for developing library informatization policy through the further studies.

• Women's Health Nursing
• /
• v.13 no.1
• /
• pp.51-59
• /
• 2007

Purpose: This research was aimed to explore the major subjects and research theme and to classify characteristics of the key words in recent Korean Journal of Women Health Nursing. Methods: With survey design, whole 103 published papers during 2003-2006 were analyzed with structured analysis form; research subjects, research methodology, data analysis, and key words of the published papers were classified and extracted. Various theme was founded and classified to 9 domains. Results: Most of the research subjects were women. Eighty-eight percent of papers conducted quantitative research; 83% chose convenience sampling and 69% used survey design, while experimental design was 29%. Key words were categorized 9 domains: demographic, health related concept, health behavior(intervention), sex-related, life event, disease, et al. Among 9 domains, health related concept, especially psycho-social topics such as depression, anxiety, stress were mostly studied and then physiologic topics such as labor pain, fatigue, and menstrual symptoms. Conclusion: Most of the subjects were women and the most common domain studied was health related concepts in Korean Journal of Women Health Nursing. And key words and topics were on women's health issues. We can conclude that Korean Journal of Women Health Nursing has published by her own philosophy.

• Journal of the Korean Society for information Management
• /
• v.37 no.1
• /
• pp.1-21
• /
• 2020

This study applied automatic classification using table of contents (TOC) text for 6,253 social science books from a newly arrived list collected by a university library. The k-nearest neighbors (kNN) algorithm was used as a classifier, and the ten divisions on the second level of the DDC's main class 300 given to books by the library were used as classes (labels). The features used in this study were keywords extracted from titles and TOCs of the books. The TOCs were obtained through the OpenAPI from an Internet bookstore. As a result, it was found that the TOC features were good for improving both classification recall and precision. The TOC was shown to reduce the overfitting problem of imbalanced data with its rich features. Law and education have high topic specificity in the field of social sciences, so the only title features can bring good classification performance in these fields.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.21
• /
• pp.9085-9091
• /
• 2014

Background: Epidemiology studies have shown an inconclusive relationship between phytoestrogen intake and ovarian cancer risk and there have been no relevant meta-analyses directly regarding this topic. The purpose of the present meta-analysis was therefore to investigate any association between phytoestrogen intake and ovarian cancer in detail. Materials and Methods: We conducted a search of PubMed, EMBASE, EBSCO, the Cochrane Library, CNKI and Chinese Biomedical Database (up to April 2014) using common keywords for studies that focused on phytoestrogen and ovarian cancer risk. Study-specific risk estimates (RRs) were pooled using fixed effect or random-effect models. Results: Ten epidemiologic studies were finally included in the meta-analysis. The total results indicated higher phytoestrogen intake was associated with a reduced ovarian cancer risk (RR, 0.70; 95%CI: 0.56-0.87). The association was similar in sensitivity analysis. Meta regression analysis demonstrated sources and possibly types and regions as heterogeneous factors. Subgroup analysis of types, sources and regions showed that isoflavones (RR: 0.63; 95%CI: 0.46, 0.86), soy foods (RR: 0.51; 95%CI: 0.39, 0.68) and an Asian diet (RR: 0.48; 95%CI: 0.37, 0.63) intake could reduce the incidence of ovarian cancer. Conclusions: Our findings show possible protection by phytoestrogens against ovarian cancer. We emphasize specific phytoestrogens from soy foods, but not all could reduce the risk. The habit of plentiful phytoestrogen intake by Asians is worthy to recommendation. However, we still need additional larger well designed observational studies to fully characterize underlying associations.

• Journal of Korean Academy of Nursing Administration
• /
• v.23 no.1
• /
• pp.18-31
• /
• 2017

Purpose: The purpose of this study was to analyze literature related to nursing team effectiveness and to summarize the definition variables included, measurement tools, and findings. Basic data on operation and research for team effectiveness in nursing units was sought. Methods: A literature search was performed to identify all studies published between 2003 and 2016 from periodicals indexed in PUBMED, CINAHL, SCIENCE DIRECT, RISS, KISS, and NAL databases. The following keywords were used in the search: 'team effectiveness', 'nurse', 'nursing', and 'hospital'. Ten studies were analyzed. Results: The analysis included domestic and international literature on nursing team effectiveness. The foreign literature included studies of various organizations including nurses, use of various research tools, leadership programs and/or new nursing delivery systems. In the Korean studies, most of the research on team effectiveness surveyed nurses on team satisfaction, team commitment, and team performance in general nursing units, operating rooms, and intensive care units. Conclusion: The findings show the necessity to develop a definition of team effectiveness that can be accepted comprehensively in nursing organizations in Korea. The definition should reflect team effectiveness that includes all cooperating units not only nurses of the nursing unit but also all other related health care teams.

• Journal of the Korea Convergence Society
• /
• v.10 no.12
• /
• pp.307-314
• /
• 2019

This paper was intended to identify the knowledge structure of youth-related research by looking at the research trends of research papers published in Korean Journal of Youth Studies from 2010 to 2018. Using keywords extracted from the papers, the Centrality and Cohesion analysis of the keyword network analysis of the NetMiner program were used. In the analysis of degree centrality, the "relationship" was the highest, followed by schools and youth, and high in the order of parents and violence. In the analysis of betweenness centrality, the "relationship" was also the highest, followed by youth, school, need, education, parents, children, abuse/emotion(the same level), institutions, regions, cell phones/prevention/welfare(the same level), elementary, attachment, suicide, addiction, society, violence, children, services, support, policy/teachers(the same level). According to the cohesion analysis, school life and policy, addiction, parent & peer relations, civic education & welfare support, sentiment and thinking, college, abuse & suicide were divided into a total of seven sub-topic subjects.

• Journal of Convergence for Information Technology
• /
• v.7 no.6
• /
• pp.53-59
• /
• 2017

This study was attempted to identify the domestic research related to depression and stress. The subjects of the analysis were 1,875 college degree theses thrown in the National Assembly Library searched by the depression and stress keyword as of November 30, 2016. The analysis method visualizes atypical data with Word Cloud, which is one of the text mining techniques. We also used the R'LDA package and LDA to classify treatment and subjects. As a result of the analysis, 233(12.4%) of the total papers with therapeutic keywords were found. Application of treatment methods was art therapy, music therapy, horticultural therapy, cognitive behavior therapy, clinical art therapy, cognitive therapy, psychological therapy, depression treatment, group therapy, laughter treatment sequence. The study subjects were adolescents, elderly, patient, mother, child, female, parents, and college students in order. The results of LDA topic analysis for adolescents were classified into four topics: self-support, treatment program, relationship effect, and variable study.

• Korea Journal of Hospital Management
• /
• v.21 no.2
• /
• pp.1-12
• /
• 2016

This study examines academic research trends and the change of patterns by analyzing researches related to hospital management registered in Korea Citation Index(KCI) from 2010 to 2014 and offers basic information for interests and future research demands in the field of hospital management As research subjects, a total of 694 published articles were selected. It's to analyze them by dividing into research topics, methods and author's characteristics, and to present them by classifying the period into 2010-2011, 2012-2013, 3rd quarter of 2014 since there was no significant difference in the result between adjacent years. As a result, Korean Journal of Hospital Management has accounted for the highest published rate year after year. In the research topic analysis, it showed a decreasing trend in these research topics as medical marketing and patient satisfaction which became the biggest issue in 2010-2011 significantly were lower in 2014, but an increasing trend in job satisfaction, job stress, labor administration and workforce productivity. The most frequently cited keywords were hospital employees, job satisfaction, organizational commitment, job stress, turnover intention. According to the research method analysis, the survey was the most popular method for data collection. However, Interview and medical records as data sources showed a decline trend. As analysis methods, multivariate analysis of quantitative methods was most used. Finally, as a result of analyzing main author's characteristics, the ratio of the authors belonging to health administration and nursing departments of the academic world increased gradually. In the regional distribution, organizations in Seoul are most common, those in Daegu Gyeongbuk areas, foreign organizations showed a tendency to decrease. This is the first study to examine the annual trend on hospital management-related research issues among articles published in domestic journal and we found qualitative and quantitative advances in hospital management research filed.

• Journal of the Korea Convergence Society
• /
• v.11 no.5
• /
• pp.199-207
• /
• 2020

Recently, big data analysis has drawn attention in various fields as it can generate value from large amounts of data and is also used to run political campaigns or predict results. However, existing research had limitations in compiling information about candidates at a high-level by analyzing only specific SNS data. Therefore, this study analyses news trends, topics extraction, sentiment analysis, keyword analysis, comment analysis for the 2017 presidential election of South Korea. The results show that various topics had been generated, and online opinions are extracted for trending keywords of respective candidates. This study also shows that portal news and comments can serve as useful tools for predicting the public's opinion on social issues. This study will This paper advances a building strategic course of action by providing a method of analyzing public opinion across various fields.