• The Journal of Economics, Marketing and Management
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• v.11 no.5
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• pp.45-55
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• 2023

Purpose: As one of the continuous studies on the offline distribution industry, the purpose of this study is to find ways for offline stores to respond to the growth of online shopping by identifying research trends on department stores. Research design, data and methodology: To this end, this study conducted word frequency analysis, word co-occurrence frequency analysis, BERTopic, LDA, and dynamic topic modeling using Python 3.7 on a total of 551 English abstracts searched with the keyword 'department store' in scienceON as of October 10, 2022. Results: The results of word frequency analysis and co-occurrence frequency analysis revealed that research related to department stores frequently focuses on factors such as customers, consumers, products, satisfaction, services, and quality. BERTopic and LDA analyses identified five topics, including 'store image,' with 'shopping information' showing relatively high interest, while 'sales systems' were observed to have relatively lower interest. Conclusions: Based on the results of this study, it was concluded that research related to department stores has so far been conducted in a limited scope, and it is insufficient to provide clues for department stores to secure competitiveness against online platforms. Therefore, it is suggested that additional research be conducted on topics such as the true role of department stores in the retail industry, consumer reinterpretation, customer value and lifetime value, department stores as future retail spaces, ethical management, and transparent ESG management.

• Fashion & Textile Research Journal
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• v.16 no.6
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• pp.987-994
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• 2014

The purpose of this research is to propose employee uniforms for tourist hotels on Jeju Island, such uniforms that embrace Jeju's unique culture and promote the tourism of Jeju Island. It has been suggested that there exists a need for hotel employee uniforms to attract more tourist attention and boost Jeju's tourism industry. We designed the uniform after analyzing the empirical data collected from academia thesis, periodicals, papers and pictures from internet search, and fashion industry magazines. The uniform analysis and production procedures are as follows: (1) precedent research case review (2) current (existing) uniform status survey (3) latest fashion trend analysis (2010 - 2014) (4) creating the uniform implementing the trend-based design with Gal Cheon, Jeju's cultural product material. We found tipping points of the design through literature and trend analysis; we developed appropriate uniforms accordingly that are harmonious with Jeju's unique identity. We received great evaluations on the appearance and comfort as well. A new concept of uniform featuring Gal Cheon has been proposed. It is expected that the uniforms will promote the brand image of Jeju as an international freedom city and its culture.

• Journal of Hydrogen and New Energy
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• v.22 no.5
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• pp.741-748
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• 2011

Hydrogen is clean and renewable, and recognized as a very promising energy resource to solve both depletion of petroleum and environmental problems caused by the use of fossil fuels. Extensive researches have been performed worldwide on the production technologies of hydrogen. In this paper, the technology trend of photo-electrochemical (PEC) hydrogen production was scrutinized based on the patent and paper analysis. Open/registered patents of US, JP, EP, and KR and SCI Journals related to the PEC hydrogen production technology between 1996~2010 were reviewed. Patents and papers were gathered by using the key-words searching method and filtered by desirable filtering criteria. The technology trend was discussed by classifying each patent and paper based on the publishing year, country, and organization, and analyzing the core patents and papers.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.195-211
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• 2014

Cloud computing services provide IT resources as services on demand. This is considered a key concept, which will lead a shift from an ownership-based paradigm to a new pay-for-use paradigm, which can reduce the fixed cost for IT resources, and improve flexibility and scalability. As IT services, cloud services have evolved from early similar computing concepts such as network computing, utility computing, server-based computing, and grid computing. So research into cloud computing is highly related to and combined with various relevant computing research areas. To seek promising research issues and topics in cloud computing, it is necessary to understand the research trends in cloud computing more comprehensively. In this study, we collect bibliographic information and citation information for cloud computing related research papers published in major international journals from 1994 to 2012, and analyzes macroscopic trends and network changes to citation relationships among papers and the co-occurrence relationships of key words by utilizing social network analysis measures. Through the analysis, we can identify the relationships and connections among research topics in cloud computing related areas, and highlight new potential research topics. In addition, we visualize dynamic changes of research topics relating to cloud computing using a proposed cloud computing "research trend map." A research trend map visualizes positions of research topics in two-dimensional space. Frequencies of key words (X-axis) and the rates of increase in the degree centrality of key words (Y-axis) are used as the two dimensions of the research trend map. Based on the values of the two dimensions, the two dimensional space of a research map is divided into four areas: maturation, growth, promising, and decline. An area with high keyword frequency, but low rates of increase of degree centrality is defined as a mature technology area; the area where both keyword frequency and the increase rate of degree centrality are high is defined as a growth technology area; the area where the keyword frequency is low, but the rate of increase in the degree centrality is high is defined as a promising technology area; and the area where both keyword frequency and the rate of degree centrality are low is defined as a declining technology area. Based on this method, cloud computing research trend maps make it possible to easily grasp the main research trends in cloud computing, and to explain the evolution of research topics. According to the results of an analysis of citation relationships, research papers on security, distributed processing, and optical networking for cloud computing are on the top based on the page-rank measure. From the analysis of key words in research papers, cloud computing and grid computing showed high centrality in 2009, and key words dealing with main elemental technologies such as data outsourcing, error detection methods, and infrastructure construction showed high centrality in 2010~2011. In 2012, security, virtualization, and resource management showed high centrality. Moreover, it was found that the interest in the technical issues of cloud computing increases gradually. From annual cloud computing research trend maps, it was verified that security is located in the promising area, virtualization has moved from the promising area to the growth area, and grid computing and distributed system has moved to the declining area. The study results indicate that distributed systems and grid computing received a lot of attention as similar computing paradigms in the early stage of cloud computing research. The early stage of cloud computing was a period focused on understanding and investigating cloud computing as an emergent technology, linking to relevant established computing concepts. After the early stage, security and virtualization technologies became main issues in cloud computing, which is reflected in the movement of security and virtualization technologies from the promising area to the growth area in the cloud computing research trend maps. Moreover, this study revealed that current research in cloud computing has rapidly transferred from a focus on technical issues to for a focus on application issues, such as SLAs (Service Level Agreements).

• Journal of Fashion Business
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• v.15 no.5
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• pp.161-177
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• 2011

The purpose of this research is to analyze the effect of the traditional color sentiment on the contemporary clothing color by researching the street fashion of 2010 Winter season of Dalian in China, in view of the clothing color of women in their 20-30 years of age, along with traditional Chinese color. This is the 2nd paper following the paper no. 1, focusing on 2010 Summer season, so the research method is same as the paper no. 1. As a result, Black and deep tone PB color most frequently appeared. The vivid and strong tone of R, YR, Y color showed high frequency of clothing colors. This results illustrate that the clothing color choices of Chinese women was affected by Chinese traditional color sentiment rather than the international color trend. Characteristically, in winter season, frequency of R and Y color categories were higher than in summer season, specially in the top and accessories color, those colors showed higher frequency than the other colors. These were the important points in dealing with winter color trend, so that the fashion company and brands should take it an important points when they are planning winter clothing colors. The achromatic colors show the high frequency in both seasons. The bottom color shows high incidence of Black and deep tone of PB color categories as in the previous researches. That means consistent color trend existed in Dalian city, however it does not seem to have its origin from traditional Chinese color preferences. This kinds of regional and seasonal research might contribute to finding the basic informations about the design and marketing strategies to launch into the Chinese fashion market.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.2
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• pp.393-413
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• 2011

The collections of university libraries such as books in academic disciplines and dissertations are much used to support education of students and research activities of faculty members. Most of such materials naturally contain unique terms frequently and exclusively used in specific academic disciplines. Therefore, it is possible to infer the latest research trend in or correlations among various disciplines by analyzing those terms. In this study, the trend was analyzed by extracting technical terms from the metatadata for collections in the field of computer science of two university libraries in Korea. By comparing these terms with the trend of terms which appeared in dissertations and domestic scholarly articles, the relation between collections of university libraries and research trend in this particular academic field was analyzed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.6
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• pp.2631-2638
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• 2013

In this study, to understand the technology development trend of super-speed maglev, the patents applied by major countries are analyzed. And based on the analyzed results, the domestic technology development direction are suggested. For patent analysis, the major technologies for super-speed maglev are classified into 14 parts. Then, through the quantitative analysis method such as number, increase rate and share rate, the overview of technology development and focused parts by each country are investigated. Also through the qualitative analysis method such as concentration degree, citation index and market share index, the technology level and market securing ability of each country are anticipated. Considering the analyzed results and technology development trend, the domestic technology development direction such as priority development fields and methods are proposed.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.55-65
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• 2023

In this paper, we apply KeyBERT(Keyword extraction with Bidirectional Encoder Representations of Transformers) algorithm-driven topic extraction and topic frequency analysis to deep learning and reinforcement learning research to discover the rapidly changing trends in them. First, we crawled abstracts of research papers on deep learning and reinforcement learning, and temporally divided them into two groups. After pre-processing the crawled data, we extracted topics using KeyBERT algorithm, and then analyzed the extracted topics in terms of topic occurrence frequency. This analysis reveals that there are distinct trends in research work of all analyzed algorithms and applications, and we can clearly tell which topics are gaining more interest. The analysis also proves the effectiveness of the utilized topic extraction and topic frequency analysis in research trend analysis, and this trend analysis scheme is expected to be used for research trend analysis in other research fields. In addition, the analysis can provide insight into how deep learning will evolve in the near future, and provide guidance for select research topics and methodologies by informing researchers of research topics and methodologies which are recently attracting attention.

• Journal of the Korea Furniture Society
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• v.16 no.2 s.30
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• pp.77-83
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• 2005

The specific gravity of wood treated with the essential oil penetration was higher than that of untreated wood. However, in case of oven-dried wood the difference of treated and untreated products decreased, compared with air-dried wood. The shrinkage of treated wood showed no consistent trend and the difference was trivial. In addition, similar trend was shown in each direction. Compression strength parallel to grain of treated wood was somewhat higher than that of untreated wood and the difference was trivial. The difference in static bending strength was slight and showed no consistent trend. The stage of check for Pinus koraiensis and Populus tomentiglandulosa and Alnus hirsuta was 2 stage and 3 stage, respectively. Deformation stage with no relation to the essential oil treatment was 1 stage for Pinus koraiensis, 2 stage Populus tomentiglandulosa and 3 stage for Ainus hirsuta, respectively, and there was no difference in essential oil penetration.

• Journal of Hydrogen and New Energy
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• v.18 no.2
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• pp.197-206
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• 2007

There are several methods for the hydrogen production such as steam reforming of natural gas, photochemical method, biological method, electrolysis and thermochemical method, etc. Many researches have been widely performed for the hydrogen production method having low production cost and high efficiency. In this paper, the patents concerning the photochemical hydrogen production method were gathered and analyzed. The search range was limited in the open patents of USA(US), European Union(EP), Japan(JP), and Korea(KR) from 1996 to 2005. Patents were gathered by using key-words searching and filtered by filtering criteria. The patent application trend was analyzed by the years, countries, companies, and technologies.