• The Southeast Asian review
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• v.22 no.2
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• pp.43-93
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• 2012

This paper examines the performances of economics for Southeast Asian studies and finds the relationship between economics and Southeast Asian studies in Korea. Based on this we try to find the direction and the way how economics contributes to Southeast Asian studies. First of all, we look into several journals on area studies, such as Review of Southeast Asia, and find out that economics researches on Southeast Asia are much fewer than expected. This shows that Korean economists are not much interested in the issue of Southeast Asia and reflects the academic differences as discipline in economics and interdisciplinary Southeast Asian studies. However, we could find the common area that economics and Southeast Asian studies can share. Also, we suggest some points that economics contributes to development of Southeast Asian studies toward a independent academic discipline. It includes the theory and methodology of international, and development economics. The rapid development of information and communication technology and the economic integration by globalization needs new and modified economic theory and methodology for research on Southeast Asia. Adopting the objective and statistical methodology of economics could level up Southeast Asian studies as social science. Also, Southeast Asian studies need to recruit more actively economics research topics and methodology. Economics could attribute to the development of Korean Southeast Asian studies.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.160-169
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• 2022

This qualitative study aimed to investigate ways to improve effective cooperative learning from students' perspective by understanding and analyzing the learning experiences of nursing students who participated in a collaborative problem-solving learning model. Data were collected through focus group interviews and reflection journals of six second-year nursing students from G-university in J-city who participated in a collaborative problem-solving learning model course. The interview data were analyzed and divided into 3 categories and 10 subcategories according to the six-step thematic analysis method proposed by Braun and Clarke. The results of analyzing the interviews were considered based on three areas: preparation before learning, the process of collaborating as a cooperative learning experience, and solutions and expectations after learning. The participants felt frustrated because collaborative problem-solving took more time for individual learning than traditional methods did and would not allow them to check the correct answers immediately. However, they gained new experiences by solving problems and engaging in discussions within their learning community. The participants' expectations included material that could help their learning, measures to prevent free-riders, and consideration of the learning process in evaluation factors. Although this study has sample limitations by targeting nursing students in only one region, it can be used to help operate collaborative problem-solving classes, as it reflects the real experiences and opinions of students.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.204-209
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• 2023

Dynamic Bandwidth Allocation (DBA) methods in telecommunication network & systems have emerged with mechanisms for sharing limited resources in a rapidly growing number of users in today's access networks. Since the DBA research trends are incredibly fast-changing literature where almost every day new areas and terms continue to emerge. Co - citation analysis offers a significant support to researchers to distinguish intellectual bases and potentially leading edges of a specific field. We present the visualization based analysis for DBA algorithms in telecommunication field using mainstream co-citation analysis tool-CiteSpace and web of science (WoS) analysis. Research records for the period of decade (2009-2018) for this analysis are sought from WoS. The visualization results identify the most influential DBA algorithms research studies, journals, major countries, institutions, and researchers, and indicate the intellectual bases and focus entirely on DBA algorithms in the literature, offering guidance to interested researchers on more study of DBA algorithms.

• Journal of Information Science Theory and Practice
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• v.11 no.4
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• pp.82-91
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• 2023

Receiving 100 citations from indexed journals is not a common occurrence, although it does happen very rarely, and it is even more uncommon for a non-indexed article. Given this, the purpose of this present study is to perform a bibliometric analysis of 100 cited Scopus articles to a non-Scopus indexed article, using a case study of the article titled "Authorship trends and collaboration pattern in the marine sciences literature: A scientometric study" which was published by Elango and Rajendran in the International Journal of Information Dissemination and Technology in 2012. On October 15, 2022, the Scopus database was searched with the article title in the references field, and the resulting bibliographic data was exported as a comma-separated values file. The tools utilized for this analysis were ScientoPy, the Bibliometrix R Package, and VOSviewer. Based on the findings, most of the cited articles were published within the last three years, and international researchers have given more recognition compared to Indian researchers. The most popular topics were found to be bibliometrics, bibliometric analysis, and bibliometrix. The fact that all 100 cited articles were published across various subject disciplines used by Scopus to categorise sources demonstrates how well-established the citing article is within the scientific community.

• Journal of Digestive Cancer Research
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• v.12 no.1
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• pp.38-43
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• 2024

Artificial Intelligence (AI) is the intelligence of machines or software, in contrast to human intelligence. Generative AI technologies, such as ChatGPT, have emerged as valuable research tools that facilitate brainstorming ideas for research, analyzing data, and writing papers. However, their application has raised concerns regarding authorship, copyright, and ethical considerations. Many organizations of medical journal editors, including the International Committee of Medical Journal Editors and the World Association of Medical Editors, do not recognize AI technology as an author. Instead, they recommend that researchers explicitly acknowledge the use of AI tools in their research methods or acknowledgments. Similarly, international journals do not recognize AI tools as authors and insist that human authors should be accountable for the research findings. Therefore, when integrating AI-generated content into papers, it should be disclosed under the responsibility of human authors, and the details of the AI tools employed should be specified to ensure transparency and reliability.

• The Journal of Industrial Distribution & Business
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• v.15 no.5
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• pp.1-15
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• 2024

Purpose: The purpose of this study is to explore the development and characteristics of e-commerce in China and analyze the current status of e-commerce platforms in China. Research design, data and methodology: To explore the development of e- commerce in China, this study collects and analyzes Chinese journals and secondary sources. It also conducts a case analysis of the success strategies of leading Chinese e-commerce companies. Results: The analysis showed that China's e-commerce is active in various forms of e-commerce, including B2B, B2C, and C2C, and that the development of e-commerce in China has been divided into three main stages. The Chinese government has been actively implementing various policies to promote the development of e-commerce. Conclusions: In this context, this paper specifically examines the development process of e- commerce in China, the current status of the Chinese e-commerce market, and the characteristics of the Chinese e-commerce market. In addition, the paper analyzes representative B2B, B2C, and C2C companies in China's e-commerce market. The results of the analysis show that Huichongwang, a B2B company, Jingdong, a B2C company, and Taobao, a C2C company, have achieved rapid growth through their core strategies and capabilities. The study also analyzed in detail the problems faced by the Chinese government and companies.

• Journal of Distribution Science
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• v.10 no.5
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• pp.7-17
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• 2012

The recent announcement of the National Research Foundation of Korea (NRF) to cease journal accreditation operations as of the end of the year 2014 can easily influence the future of many research journals in Korea. Although this plan has not yet been formalized or structured, its facilitation would be the major turning point for the current Korean research and scholarly journals and publications. In addition, the NRF's plan to select and fund top 20 or more research journals over the five year period beginning 2015 suggests that the competition will most likely increase among Korean journals. Each journal would need to develop its unique strategy to improve and strengthen its competitiveness to become or maintain its position as a major research journal in Korea. The association of Korean Distribution of Science (KODISA) and its research journal, Journal of Distribution Science (JDS), has been continuously improving its reputation as a reputable journal in the distribution and related fields since its establishment in 1999. Due to demand, JDS has had to undergo several changes in its publication cycle first from semiannual publication to quarterly, then finally to monthly publications in 2012, and has become one of the major social science journals in Korea. Furthermore, with the redesigning of its webpage with English language in July of 2011, KODISA has made the published journals freely accessible and available to both domestic and foreign researchers, scholars, practitioners, and learners. These changes have resulted in the rapid increase in the bounce rate and the number of journal submissions by foreign scholars, with four research articles having been submitted by foreign scholars just in March of 2012 alone. However, although the changes and outcomes have resulted in a reasonable success so far, the achievement may only become a short-term success without continuously developing, improving, and implementing both effective and efficient strategies through critical, thorough, and frequent examinations and evaluations of both KODISA and JDS. As such, the purpose of this research is to carefully examine both KODISA and JDS to identify problematic factors and to develop appropriate strategies to change or modify those problems for further strengthening and improving their reputation and status. The paper examines and analyzes the past, present, and future of KODISA and JDS and their managerial, operational, and systematic procedures and operations. The narrow scope of research and inefficiencies in promoting the association and the journal and the improvement of impact factors are identified as the notable problems that could hinder JDS from being included in SCOPUS or SSCI in the near future. This type of examination and exploration has not been previously conducted, so the major limitation of this paper can be identified as not meticulously elaborating on the problems nor proving detailed recommendations based on the existing researches. This article asserted that solving the problem of the narrow scope of research would lead to facilitation of resolving other inefficient problems. Inclusion of international academic disciplines to the distribution and their related fields would be the viable initiation of expanding the research area, and this strategy could promote the journal as well as improve its impact factors. The narrow scope of research seems to be a good research topic and merit further exploration as an individual research project, because this kind of research could yield the creation of new understandings or theories.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.465-476
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• 2020

This study used social network analysis to analyze trends and the knowledge structure of research in international trade. To this end, 4,840 keywords were extracted and analyzed from 1,797 papers contained in the Journal of Int'l Trade and Industry Studies, the Korea Trade Review, and the Journal of Korea Trade from 2003 to 2019. The results reveal that the distribution of keywords in the trade studies, as with other intellectual networks, followed a power-law distribution. Some differences were observed in the top 20 keywords across journals, with total factor productivity, economic growth, and Korea-US FTA ranking high only in the Journal of Int'l Trade and Industry Studies. Global value chain and trust emerged as a topic that attracted new researchers' attention in the 2011-2019 period. Interest in E-Trade, WTO, and internationalization has declined in recent years. The conventional international trade research trend analyses have predominantly featured qualitative analysis by descriptive method in general, but this study is meaningful in that it employs quantitative analysis using social network analysis techniques.

• Journal of the Korean School Mathematics Society
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• v.23 no.3
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• pp.351-375
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• 2020

The purpose of this study is to identify the trends of emotion-related mathematics education research conducted in Korea so far, and compare them with those of international studies, and explore the desirable directions for future emotion-related mathematics education research. Emotion-related domestic research was collected from domestic academic journals, analyzed, and then it was used as data for international comparative study. The findings of the Eligio(2017) were used as counterpart research data. This study compares the number of publications, research subjects and research topics of domestic and international studies on emotion. Findings indicate that it has generally shown similar patterns to international research although it was difficult to determine the trends due to the lack of the number of domestic studies. The future directions of domestic mathematics education research on emotion were proposed as follows. Since it is difficult to collect reasonable and reliable data on pure emotion due to the nature of emotion in mathematics education research, it is suggested to introduce the concept of emotional intelligence, which is the combination of emotion and cognition. Also, it was recommended to utilize the concept of meta-emotion for future study on emotion-related research.

• KSCI Review
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• v.15 no.1
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• pp.209-217
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• 2007

Korea's seas have the potentials of dispute against China or Japan due to the overlap of the territorial waters and EEZ. In case of marine accidents, the nature of the sea tends to eliminate much of the track, making it another hardship in evidence adoption in case of an international dispute along with the false entries of fishing vessels' journals. Marine Digital Forensics protects the functions of computers and IT appliance on vessels and extracts evidence of voyage and accidents to resolve international dispute. The digital evidence, if tampered with its integrity, may lead to the rejection to a critical claim or may even fail to make a case. As a solution, this thesis suggests Marine Digital Forensics as a way to extract evidence and prove a claim. This may be utilized as means of scientific investigation on sea as overseas exchange increases and the vessels digitalize, leading to a solution in international disputes that may occur in the future.