Visioning the Future of Smart Fashion Factories Based on Media Big Data Analysis
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Big Data and Business Intelligence · Impact of AI and Big Data on Business and Society
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Human-Tech Convergence Program, Department of Clothing and Textiles, Hanyang University, Seoul 04763, Korea
Research Institute of Industrial Science, Hanyang University, Seoul 04763, Korea
References (47)
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