• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.127-140
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• 2022

With the recent development of the ICT (information and communication technology), the revolution of the industry has moved on from the third industry to the fourth. There is no doubt that the companies would not survive in the future without adopting these technologies. The purpose of this research is to analyze the intellectual structure of the internet of things(IoT) literature for the Industry 4.0 to suggest a better insight for the field. The data for this research is extracted from the Web of Science database. Total of 1,631 documents and 72,754 references are used for the research with the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure and performed clustering, timeline and burst detection analysis. We identified 12 sub-areas of IoT for the Industry 4.0 which are 'Supply Chain', 'Digital Twin', 'Smart Manufacturing System' and etc. Through the timeline analysis we can find out which clusters will increase or decrease its reputation. As concluding remarks, limitations and further research suggestions are discussed.

• Journal of the Korean Society for Library and Information Science
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• v.15
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• pp.73-94
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• 1988

The main purpose of the present study is to investigate the citation habit of Korean social scientists by making use of citation analysis and content analysis, and to assess the nature of interdisciplinary flow of information in Korea in terms of the citation dependency on other disciplines, the types of channels used in formal scientific communication, the countries published the literatures of other disciplines cited in the source articles, and the languages used in the literatures of other disciplines. The major findings and conclusions reached at this study are summarised as follows: 1. Korean social scientists mainly cite the literatures of economics, sociology, politics, and history when they cite the literature of other disciplines. 2. The citation dependency on other disciplines of the economists, polictial scientists, and sociologists are 6 percents, 14 percents, and 19 percents, respectively. 3. The citation dependency on history of the economists is 25 percents, the dependency on sociology of the political scientists is 34.9 percents, and the dependency on economics of the sociologists is 50. 19 percents. 4. The types of channels used in formal scientific communication in social sciences are firmly book and journal. 5. The countries published the literatures of other disciplines .cited in the source articles are Korea and the U. S. firmly. 6. The languages used in the literatures of other disciplines cited in the source articles are Korean and English overwhelmingly.

• Journal of Smart Tourism
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• v.1 no.2
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• pp.3-12
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• 2021

The interaction between technology and tourism has been a dynamic research area recently. This study aims to review the progress and development of technology in tourism research via a bibliometric analysis. We derive the source data from the Web of Science (WoS) core collection and use CiteSpace for bibliometric analysis, including countries, institutions, authors, categories, references, and keywords. The analysis results are as follows: i) The number of published articles on the role of technology in tourism has increased in recent years. ii) Technology-related articles in tourism are abundant in Tourism Management, Journal of Travel Research, and Annals of Tourism Research. iii) The countries with the most contributions are China, the US, and the UK. The most active institutions are the Hong Kong Polytechnic University, University of Central Florida, Bournemouth University, University of Queensland, and Kyung Hee University. iv) The reference analysis results identify eight extensively researched topics from the most cited papers, and the keyword burst analysis results present an emerging trend. This study identifies the effect and development of technology in tourism research. Our findings provide implications for researchers about the current research focus of technology and the future research trend of technology in the tourism field.

• The Journal of Information Systems
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• v.30 no.1
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• pp.21-44
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• 2021

Purpose The opportunities and approaches to big data have grown in various ways in the digital era. Business analytics is nowadays an inevitable strategy for organizations to earn a competitive advantage in order to survive in the challenged environments. The purpose of this study is to analyze the intellectual structure of business analytics literature to have a better insight for the organizations to the field. Design/methodology/approach This research analyzed with the data extracted from the database Web of Science. Total of 427 documents and 23,760 references are inserted into the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure of the business analytics. We performed clustering analysis, burst detection and timeline analysis with the data. Findings We identified seven sub- areas of business analytics field. The top four sub-areas are "Big Data Analytics Infrastructure", "Performance Management System", "Interactive Exploration", and "Supply Chain Management". We also identified the top 5 references with the strongest citation bursts including Trkman et al.(2010) and Davenport(2006). Through timeline analysis we interpret the clusters that are expected to be the trend subjects in the future. Lastly, limitation and further research suggestion are discussed as concluding remarks.

• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.7-29
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• 2017

Data citation remains in its infancy, although providing the citation to a journal article is a typical norm in an academic community. This study examines the need for data citation, its principles and guidelines for improving the issue. In addition, the study investigates cases that established data citation mechanism, including DataCite, Dataverse Network and Data Citation Index that define elements of data citation and provide relevant services. At the end, it explores the current state of data citation in Korea through the analysis of citations to dataset from Korean General Social Survey.

• Journal of Information Science Theory and Practice
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• v.6 no.2
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• pp.6-23
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• 2018

Digital Science's Dimensions is envisaged as a next-generation research and discovery platform for more efficient access to cross-referenced scholarly publications, grants, patents, and clinical trials. As a new addition to the growing open citation resources, it offers opportunities that may benefit a wide variety of stakeholders of scientific publications, from researchers and policy makers to the general public. In this article, we explore and demonstrate some of the practical potentials in terms of cascading citation expansions. Given a set of publications, the cascading citation expansion process can be iteratively applied to a set of articles so as to extend the coverage to more and more relevant articles through citation links. Although the conceptual origin can be traced back to Garfield's citation indexing, it has been largely limited, until recently, to the few who have unrestricted access to a citation database that is large enough to sustain such iterative expansions. Building on the open application program interface of Dimensions, we integrate cascading citation expansion functions in CiteSpace and demonstrate how one may benefit from these new capabilities. In conclusion, cascading citation expansion has the potential to improve our understanding of the structure and dynamics of scientific knowledge.

• Journal of the Korean Society for information Management
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• v.33 no.1
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• pp.317-336
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• 2016

Nowadays users spend more time and effort to find what they want because of information overload. To solve the problem, scientific article recommendation system analyse users' needs and recommend them proper articles. However, most of the scientific article recommendation systems neglected the core part, user profile. Therefore, in this paper, instead of mean which applied in user profile in previous studies, New TPIPF (Topic Proportion-Inverse Paper Frequency) was applied to scientific article recommendation system. Moreover, the accuracy of two scientific article recommendation systems with above different methods was compared with experiments of public dataset from online reference manager, CiteULike. As a result, the proposed scientific article recommendation system with TPIPF was proven to be better.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.34 no.3
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• pp.159-168
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• 2023

Objectives: Non-suicidal self-injury (NSSI) has been theoretically, clinically, and empirically associated with emotional dysregulation. NSSI is a means of regulating emotional states, particularly negative emotions. However, empirical studies on this topic are scarce and the literature lacks qualitative research on individuals' perceptions and comprehension of the function of self-injury. Thus, this qualitative study aimed to provide novel insights into the relationship between NSSI and emotional dysregulation in young adults. Methods: Twelve participants (mean age=22.7 years, 9 females and 3 males) from different support groups and a healthcare center participated in semi-structured interviews on NSSI-related emotional processes. Three aspects were investigated: reasons for NSSI, function of NSSI, and emotions. Each interview was voice recorded and typically lasted between 20 and 40 minutes. All responses were analyzed using thematic analysis. Results: Four major themes were identified. The results showed that NSSI had both intrapersonal and interpersonal functions, within which emotional regulation played a significant role. NSSI was also used to regulate positive emotions. The results also showed a sequence of emotions among the participants, going from feeling overwhelmed to feeling relatively calm but guilty. Conclusion: NSSI has several functions for the same individual. Thus, it would be interesting to provide integrative therapy, such as emotion-focused therapy, which focus on improving intrapersonal and interpersonal emotion regulation skills and strategies.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.84-97
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• 2021

Digital twins are one of the promising digital technologies used to facilitate digital transformation. Therefore, it needs to continually be developed remain relevant in industry and academia. Consolidation of research is required to create a common understanding of the topic and to ensure that future research is built upon a solid foundation. Based on a bibliometric review and a thematic analysis of 217 publications on digital twins from the past two decades, this paper creates and analyzes a visual knowledge map and proposes areas for further research. To comprehensively analyze the development trends and research trends of digital twins, we performed statistical analysis of the relevant literature on digital twins within the core collection database of Web of Science. Through our research, we have shown that the current situation, trends, and hotspots of digital twin research were analyzed via CiteSpace. This study demonstrates that research on digital twins is rapidly growing in popularity, that the output of the research depends largely on the core group of authors conducting it, and that digital twins warrant cross-domain and cross-disciplinary research pathways.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.4
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• pp.81-93
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• 2010

This study is to suggest a model for preservation and circulation of scientific data as Records. Analysis for national trends in U.S., British, Australia, Europe about scientific data was performed. Foreign advanced programs on management of scientific data were surveyed and analyzed. The analyzed programs were DataCite, WDS, PANGAEA, Dataverse, BSRN, DLESE, GCMD and SEDIS. Common implications were deducted from each program. With the results of analyzing the programs, this study proposed a model for preservation and circulation of scientific data.