Visioning the Future of Smart Fashion Factories Based on Media Big Data Analysis
Recently, many companies have adopted smart factories to increase productivity and efficiency. However, the fashion industry is one of the industries that have been relatively slow at embracing automation and switching to a smart factory. The purpose of the study is to suggest the future direction o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-08-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/16/7549 |
| _version_ | 1797524725887401984 |
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| author | Sae-Eun Lee Naan Ju Kyu-Hye Lee |
| author_facet | Sae-Eun Lee Naan Ju Kyu-Hye Lee |
| author_sort | Sae-Eun Lee |
| collection | DOAJ |
| description | Recently, many companies have adopted smart factories to increase productivity and efficiency. However, the fashion industry is one of the industries that have been relatively slow at embracing automation and switching to a smart factory. The purpose of the study is to suggest the future direction of the low-maturity smart factory in the fashion industry through newspaper analysis. In this study, semantic network analysis and convergence of iterated correlation (CONCOR) analysis were performed on 15,523 news articles. The analyses revealed that the smart fashion factory was developing to incorporate automated, unmanned, and intelligent operation. The problem of job loss owing to the smart factory was also heavily addressed in the news articles. In the newspaper articles, the view that the smart factory is efficient, fast, and innovative, and concerns regarding the possible damages that will result from hacking and machine malfunction were simultaneously expressed. Therefore, if news about security improvement emerges in the future, negative public opinion will be reduced, positively influencing the government’s support for smart factories and policy making. |
| first_indexed | 2024-03-10T09:01:27Z |
| format | Article |
| id | doaj.art-7b255b32c6a94d43b558426e78bdc058 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T09:01:27Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-7b255b32c6a94d43b558426e78bdc0582023-11-22T06:43:19ZengMDPI AGApplied Sciences2076-34172021-08-011116754910.3390/app11167549Visioning the Future of Smart Fashion Factories Based on Media Big Data AnalysisSae-Eun Lee0Naan Ju1Kyu-Hye Lee2Human-Tech Convergence Program, Department of Clothing and Textiles, Hanyang University, Seoul 04763, KoreaResearch Institute of Industrial Science, Hanyang University, Seoul 04763, KoreaHuman-Tech Convergence Program, Department of Clothing and Textiles, Hanyang University, Seoul 04763, KoreaRecently, many companies have adopted smart factories to increase productivity and efficiency. However, the fashion industry is one of the industries that have been relatively slow at embracing automation and switching to a smart factory. The purpose of the study is to suggest the future direction of the low-maturity smart factory in the fashion industry through newspaper analysis. In this study, semantic network analysis and convergence of iterated correlation (CONCOR) analysis were performed on 15,523 news articles. The analyses revealed that the smart fashion factory was developing to incorporate automated, unmanned, and intelligent operation. The problem of job loss owing to the smart factory was also heavily addressed in the news articles. In the newspaper articles, the view that the smart factory is efficient, fast, and innovative, and concerns regarding the possible damages that will result from hacking and machine malfunction were simultaneously expressed. Therefore, if news about security improvement emerges in the future, negative public opinion will be reduced, positively influencing the government’s support for smart factories and policy making.https://www.mdpi.com/2076-3417/11/16/7549smart factorysmart fashion factorysemantic network analysisCONCOR analysis |
| spellingShingle | Sae-Eun Lee Naan Ju Kyu-Hye Lee Visioning the Future of Smart Fashion Factories Based on Media Big Data Analysis Applied Sciences smart factory smart fashion factory semantic network analysis CONCOR analysis |
| title | Visioning the Future of Smart Fashion Factories Based on Media Big Data Analysis |
| title_full | Visioning the Future of Smart Fashion Factories Based on Media Big Data Analysis |
| title_fullStr | Visioning the Future of Smart Fashion Factories Based on Media Big Data Analysis |
| title_full_unstemmed | Visioning the Future of Smart Fashion Factories Based on Media Big Data Analysis |
| title_short | Visioning the Future of Smart Fashion Factories Based on Media Big Data Analysis |
| title_sort | visioning the future of smart fashion factories based on media big data analysis |
| topic | smart factory smart fashion factory semantic network analysis CONCOR analysis |
| url | https://www.mdpi.com/2076-3417/11/16/7549 |
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