• East Asian Journal of Business Economics (EAJBE)
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• v.6 no.1
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• pp.42-46
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• 2018

Purpose - The purpose of this study was to review and analyze EAJBE (The East Asian Journal of Business Economics) of EABEA (The East Asia Business Economics Association) and all of their published articles of 2013 to 2017 and to revise and update the existing publication standards and practices in order to improve the overall quality and reputation of EAJBE. Research design, data, and methodology - This paper applied an analytical approach, a case study method, to analyze and examine the published articles and the publication standards and practices of EAJBE (East Asian Journal of Business Economics) from their first publication. Results - The EAJBE has been issuing academic journals four times a year since its foundation. Although it is a journal based in Korea, overseas scholars publish articles steadily compared to other academic journals and the EAJBE raises the level of globalization. The level of internationalization of association's management and editorial members is also high, making the overall academic journal more cosmopolitan. Conclusions - Although the EABEA (The East Asia Business Economics Association) is a newly formed, the association is actively managing the academic community and making two major goals for the development of the academic journal. First, this journal is actively attracting overseas scholars, and is raising the level of internationalization. As an integrated academic conference is held with overseas scholars, they actively exchange with overseas scholars by contributing and publishing their papers. Second, it is seeking to establish national and international ties by publishing the papers of Korean scholars as well as abroad and holding academic contests regularly.

• Journal of Research and Publication Ethics
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• v.2 no.1
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• pp.19-24
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• 2021

Purpose: The purpose of this study is to check the direction of KODISA's pursuit of complex and convergence studies by confirming the research trends of KODISA's direct academic journals such as JDS, JIDB, JBEES and JAFEB. To this end, we tried to compare and confirm the research trends of the papers in four academic journals targeting keywords. Research Design, data and methodology: The analysis was conducted from 2014 to 2020 on 867 papers from JDS, 315 papers from JIDB, 120 papers from JBEES, and 867 papers based on the publication year of the most recently published journal from JAFEB. For the analysis, frequency analysis, word crowding, topic modeling, and frequency analysis by applying weights for each year group were performed on the keywords crawled using Python. Results: The results of frequency analysis showed that each journal is properly oriented toward its target direction. In addition, it was confirmed that the results of topic modeling significantly reflected the results of frequency analysis. Finally, it could be concluded that the results of frequency analysis using the weights of keywords by year group were also developing in the direction the target journals were analyzed. Specifically, in the case of JDS, 20 keywords such as Service Quality, Distribution were found to increase continuously according to the year group. Meanwhile, the keywords that continued to increase according to JIDB's year group were India, Social Capital, and Job Stress. The keywords that continued to increase according to the year group of JBEES were Micro Finance Institutions and Microfinance, and the keywords that of JAFEB were confirmed to be Vietnam and Service Quality. Conclusion: It was confirmed that KODISA's direct management journals responded appropriately to convergence issues. In particular, it was confirmed that researches in various fields of JDS are continuously increasing. However, it seems that JIDB needs to deal with various issues additionally in the service industry field and JBEES in the environment field. Finally, it was found that JAFEB needs to be wary of the relatively low level of interest in some countries such as Kazakhstan and India in recent years.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.255-283
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• 2024

In this study, as a preliminary research to effectively support data-driven R&D of researchers, we analyzed the academic information and data requirements for researchers to discover new types of academic information and datasets, and to propose directions for academic information services. To achieve the research objectives, we conducted an exploratory case study involving five researchers and administered an online survey among ScienceON users to glean insights into data-driven R&D behaviors and information/data requirements. As a result, researchers relatively referred to academic papers, datasets and software information from academic papers or conference materials. Moreover, the methods and pathways for acquiring data, as well as the types of data, varied across different subject areas. Researchers often faced challenges in data-driven R&D due to difficulties in locating and accessing necessary datasets or software such as learning models. Therefore it has been analyzed that for future support of data-driven R&D, there is a need to systematically construct datasets by subject. Additionally, it is considered necessary to extract and summarize dataset and related software information in conjunction with academic papers.

• Journal of Home Health Care Nursing
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• v.20 no.2
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• pp.141-151
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• 2013

Purpose: The purpose of this study was to examine the economic effectiveness of by conducting a literature review of published articles, masters theses, and doctoral dissertations. Method: Prior to the literature review, inclusion-exclusion criteria were established. We then reviewed 1,029 CINAHL, MEDLINE, and Cochrane DB papers, and 153 RISS papers collected between Results: A total of 12 studies met the inclusion-exclusion criteria.-effectiveness: 6 cost-effectiveness studies, 1 cost-utility studies, and 5 cost-benefit studies. Each of the 12 reviewed studies concluded that home care nursing had greater economic benefits than other compared healthcare services. Conclusion: Home care nursing has significant economic benefits in multi health care service settings and for various patient groups. Therefore these results will be used a critical evidence for the development of economically effective home based health care systems for future policy making.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.12-17
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• 2023

This study investigates the effects of online English writing instruction on university students' writing performance and their anxiety. A total of 34 participants completed the pre- and post- writing tests as well as the surveys regarding perceived anxiety toward English writing. Reflection papers and interviews were employed to triangulate the results of the questionnaires. Quantitative analysis of learners' writing outcomes and surveys revealed that online writing instruction helped improve students' writing skills and reduce writing anxiety. The interviews and reflection papers demonstrated that learners found the writing instruction helpful in reducing somatic anxiety, avoidance behavior, and cognitive anxiety. The current study suggests that adopting non-face-to-face online writing instruction aids EFL students in developing their writing and alleviating writing anxiety.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.155-174
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• 2022

From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (