• Nuclear industry
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• v.4 no.6 s.22
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• pp.44-46
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• 1984

• Photonics industry news
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• s.51
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• pp.44-47
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• 2009

• Photonics industry news
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• s.51
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• pp.16-19
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• 2009

• Bulletin of Food Technology
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• v.24 no.4
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• pp.632-639
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• 2011

• Bulletin of Food Technology
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• v.24 no.3
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• pp.460-466
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• 2011

• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.51-64
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• 2014

It becomes more and more important for business survival to have the ability to predict the future with uncertainties increasing faster and faster. To predict the future, text mining tools are one of the main candidate other than traditional quantitative analyses, but those efforts are still at their infancy. This paper is to introduce one of those efforts using the case of company "P" in the steel industry. Even with only four month pilot studies, we found strong possibilities, if not testified robustly, to predict future industrial trends using text mining tools. For these text mining case studies, we categorized steel industry trend keywords into ten components (10 categories) to study ten different subjects for each category. Once found any meaningful changes in a trend, we had investigated in more detail what and how some trend happened so. To be more roust, firstly we need to define more cleary the purpose of text mining analyses. Then we need to categorize industry trend key words in a more systematic way using systems thinking models. With these improvements, we are quite sure that applying text mining tools to analyzing industry trends will contribute to predicting the future industry trends as well as to identifying the unseen trends otherwise.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.165-172
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• 2017

In this paper, we analyze the research / technology trends of electric vehicles from 2001 to 2014, through keyword analysis using paper data published in SCIE or SSCI Journal on electric vehicles, time series analysis using patent data by IPC, and network analysis using nodeXL. also we predicted promising technologies of electric vehicles using one of the prediction methods, weighted moving average method. As a result of this study, battery technology among the electric vehicle component technologies appeared as a promising technology.

• 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.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.55-62
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• 2014

According to the existing studies, the yearly IT budget on Korean financial industry has the same pattern with the GDP Change trend. We analyzed the correlation between GDP and the IT budget of financial industry for the 20 years since 1993. According to the results, as time went by the IT budget of bank, life insurance and securities has been consistently maintained a downward trend. On the other hand, it was confirmed to be maintained a upward trend of the non-life insurance's IT budget. As a result, we analyzed the impacts of IT regurations in the financial industry, then proposed the policy directions of the financial IT services industry.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.305-306
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• 2009

Korean digital product users' tends to be participationoriented. They hope that their expectations are reflected in the outcome. Furthermore, they look toward customizationoriented. They want product differentiation for only their own goods. They come to take a prudent and particular attitude. Korean display industry is under extending the share of the international market these days. This report covers the direction of the display industry design through analyzing the trend of the Korean digital product users'.