• The Research Journal of the Costume Culture
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• v.29 no.5
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• pp.617-633
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• 2021

The purpose of this study is to examine emerging trends in fashion films and the impact of COVID-19 through analysis of Prada films produced before and after the initial spread of the COVID-19 pandemic. We selected 40 cases occurring prior to the pandemic, from June to December 2019, and 21 cases occurring since the outbreak, from June to December 2020. To identify relevant trends, we conduct a literature review and examine a range of case studies. First, travel restrictions and confronting activities currently inhibit production. Through our case study analysis, we identify nineteen cases in between before and after COVID-19. Secondly, Prada can be seen to mainly produce episodes and promotional films. Additionally, it develops content showcasing brand values in environmental, cultural, creative, and sport-related fields; intended audiences extend beyond the realm of fashion. Thirdly, a new film category began to develop after the outbreak of COVID-19, namely, narrative films utilizing virtual interactions. According to our analysis results, we expect film production that is increasingly facilitated by virtual communication, technology utilization, and online platforms to continue even after the resolution of COVID-19. New film categories will emerge, and we predict that the gap between the number of cases before and after COVID-19 will narrow.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.3
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• pp.9-23
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• 2022

This study aims to examine research trends on the Internet of Things and smart city based on papers from the United States, Japan, and Korea. We collected 7113 papers related to the Internet of Things and smart city published from 2016 to 2021 in Elsevier's Scopus. Keyword frequency and centrality analysis were performed based on the abstracts of the collected papers. We found keywords with high frequency of appearance by calculating keyword frequency and identified central research keywords through the centrality analysis by country. As a result of the analysis, research on security, machine learning, and edge computing related to the Internet of Things and smart city were the most central and highly mediating research conducted in each country. As an implication, studies related to deep learning, cybersecurity, and edge computing in Korea have lower degree centrality and betweenness centrality compared to the United States and Japan. To solve the problem it is necessary to combine these studies with various fields. The future research direction is to analyze research trends on the Internet of Things and smart city in various regions such as Europe and China.

• Journal of Fashion Business
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• v.27 no.5
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• pp.78-92
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• 2023

Fashion trends are actively disseminated through social media, which influences both their propagation and consumption. This study explored how users perceive subversive basic fashion in social media videos, by examining the associated concepts and characteristics. In addition, the factors contributing to the style's social media dissemination were identified and its distinctive features were analyzed. Through text mining analysis, 80 keywords were selected for semantic network and CONCOR analysis. TF-IDF and N-gram results indicate that subversive basic fashion involves transformative design techniques such as cutting or layering garments, emphasizing the body with thin fabrics, and creating bold visual effects. Topic modeling suggests that this fashion forms a subculture that resists mainstream norms, seeking individuality by creatively transforming the existing garments. CONCOR analysis categorized the style into six groups: forward-thinking unconventional fashion, bold and unique style, creative reworking, item utilization and combination, pursuit of easy and convenient fashion, and contemporary sensibility. Consumer actions, linked to social media, were shown to involve easily transforming and pursuing personalized styles. Furthermore, creating new styles through the existing clothing is seen as an economic and creative activity that fosters network formation and interaction. This study is significant as it addresses language expression limitations and subjectivity issues in fashion image analysis, revealing factors contributing to content reproduction through user-perceived design concepts and social media-conveyed fashion characteristics.

• Korea Trade Review
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• v.46 no.3
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• pp.203-226
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• 2021

Sustainability is considered to be one of the most important social and environmental requirements of modern companies located in global supply chains, since the strong worldwide regulation on carbon emission due to global warming has been emphasized. Sustainable Supply Chain Management(SSCM) could be one of the great alternatives for global companies to maintain a pleasant business environment while fulfilling their social and environmental responsibilities. This paper aims to provide research trends and future directions on SSCM through a systematic literature review. From January of 2004 to May of 2021, 185 English-written and peer-reviewed articles published in eminent journals were selected for the review. The all reviewed papers have been published in SSCI, SCI and SCIE indexed journals and should have accredited by WOS and JCR. A descriptive analysis was followed by a content analysis with regard to research design and methods, and data analysis techniques. We found that the number of research in the field of SSCM have been recently increasing and researchers and their affiliation have been expanding to all over the world, especially to emerging countries. We also found that the rate of the empirical studies and relevant research methodologies applied to the selected papers were relatively high. In the future, it is desirable to be increased the number of the specific industry-oriented research and the quantitative research pursuing the optimality.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.504-517
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• 2018

The purpose of this study is to analyze the trends and contents of the research related to young children safety published in the domestic KCI and the candidate journals from 2010 to 2017. To analyze this, we selected 75 articles related to safety for young children published in the KCI and candidate journals from 2010 to 2017. A total of 75 papers were analyzed for frequency, percentage and ${\chi}^2$ using the SPSS Win 23.0 program. The main results of this study are as follows: First, the articles related to young children safety were published the most in 2016 and 2017 and related to infant safety were the least. Next, more than half of the research methods were conducted by quantitative research methods. The results of this study are meaningful in that it presents the necessity of safety education by analyzing trends and contents of research related to young children safety in situations where safety accidents for young children are frequent and the importance of young children safety is more emphasized. It is expected that this research will provide basic data on research topics such as disaster safety who need further research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.586-599
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• 2017

This study attempts to understand the overall research trends in Vocational Studies using a text mining method, which is a means to analyze big data. The findings of the research show that Vocational Studies in Korea has been directly influenced by global economic crises, as evidenced by its exponential growth after the 1997 foreign exchange crisis that resulted in a bailout from the IMF. In addition, the topics of research have been shifting from such macro subjects as government policies and systems to such micro topics as individual career development. Moreover, the perspective of research is being moved from the socially vulnerable, including women and the disabled, to the economically marginalized, including retirees and the unemployed. As for the research targets, college students overwhelmingly outnumbered primary and secondary school students. However, few cases analyzed the clinical outcomes of career counseling or attempted to process job information and study the history of jobs. This research is limited in that it only analyzed journal abstracts. Nonetheless, it is meaningful because it used topic analysis, one of the text mining methods, to give a complete enumeration of all articles available for search, thereby crafting a framework of quantitative analysis methodology for Vocational Studies. It is also significant in that it is the first attempt to analyze themes in every stage of the development of Vocational Studies.

• Convergence Security Journal
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• v.17 no.1
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• pp.15-30
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• 2017

Since the 1990s, fingerprint recognition has attracted much attention among scholars. There have been numerous studies on fingerprint recognition. However, most of the academic papers have focused mainly on how to make a technical advance of fingerprint recognition. there has been no significant output in the analysis of the research trends in fingerprint recognition. It's essential part to describe the overall structure of fingerprint recognition to make further studies much more efficient and effective. To this end, the primary purpose of this article is to deliver an overview of the research trends on fingerprint recognition based on network analysis. This study analyzed abstracts of the 122 academic journals ranging from 1990 to 2015. For gathering those data, the author took advantage of an academic searchable data base-RISS. After collecting abstracts, cleaning process was carried out and key words were selected by using Krwords and R; co-occurrence symmetric matrix made up of key words was created by Ktitle; and Netminer was employed to analyze closeness centrality. The result achieved from this work included followings: research trends in fingerprint recognition from 1990 to 2000, 2001 to 2005, 2006 to 2010, and 2011 to 2015.

• Knowledge Management Research
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• v.22 no.1
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• pp.217-242
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• 2021

The purpose of this study is to examine the research trends in the filed of individual knowledge hiding through keyword network analysis. As individuals intentionally hide their knowledge beyond not sharing their knowledge in organizations and the research on knowledge hiding steadily spreads, it is necessary to examine the research trends regarding knowledge hiding behaviors. For keyword network analyses, we collected 346 kinds of 578 keywords from 120 articles associated with knowledge hiding behaviors. We also transformed the keywords to 86 nodes and 667 links by data standardizing criteria and finally analyzed the keyword network among them. Moreover, this study scrutinized knowledge hiding trends by comparing the conceptual model for knowledge hiding based on literature review and the network structure based on keyword network analysis. As results, first, the network centrality degree, knowledge sharing, creativity, and performance was higher than others in Degree, Betweenness, Closeness centrality. Second, this study analyzed ego networks about psychological ownership and individual emotion theoretically associated with knowledge hiding and explored the relationship between variables through comparing with the conceptual model for knowledge hiding. Finally, the study suggested theoretical and practical implications and provided the limitations and suggestions for future research based on study findings.

• International journal of advanced smart convergence
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• v.1 no.2
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• pp.59-63
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• 2012

The mVoIP service is the technology which focuses on the wireless data service as the IP network having the transmission rate of 100 Mbps classes on the high-speed middle of movement through the WiFi, WiBro and 3G mobile radio communication network, and etc. and is developed. Since 2010, the mVoIP (mobile VoIP) service shows the rapid growth due to 4G-LTE service seriously disclosed from July with the Smart phone and 2,011 it begins to be rapidly popularized. In this research, additionally the mVoIP service industry activation plan is presented with the trends of technology development including the chip-set/module/terminal, etc. based upon local and foreign market trend searchlight through the market demand analysis. The mVoIP service downloads App to the mobile apparatus and or can provide the service as the software through the WiFi network. Therefore, the change which is large in the products development aspect is to be have no. Expected to is being provided as the added service in the case of 4G-LTE as a matter of course, the service deployment where it is based on the market principle and demand needs is needed.

• Korean Journal of Child Studies
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• v.35 no.4
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• pp.17-40
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• 2014

The aims of this study were three-fold; to analyze the trends of research on children's media, to anticipate any transitions in the direction of the research and finally to provide a guidance for future directions in the research. For this purpose, 55 research papers were chosen. The tool used for this analysis was that developed by Meyrowitz(1998; 1999), which classifies(1998, 1999) three main viewpoints towards media. Based on these three viewpoints, this study found that the most common category is 'media as a vessel.' Furthermore, it was verified that some studies in 'media as a vessel' have a tendency to be mixed with the notion of 'media as a language.' Subsequently, all the research papers in the category of 'media as a language' were subcategorized into 6 digital literacy competencies, in the manner proposed by Hobbs(2010). Consequently, the studies in the category of 'creation' were revealed to be the most common, and it was further confirmed that the research included in the categories of 'reflection' and 'social action' both begins to partially appear. Based on these results, this study speculates on a number of educational points supporting the development of media education in the digital era.