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Predicting Success Factors of Electric Vehicle Industry in the Future with Futures Wheel and Text Mining
- 유혜;
- 이상근;
- 김진화
초록
This study aims to predict future success factors in the electric vehicle (EV) industry by applying text mining techniques and the Futures Wheel methodology. From July 1, 2022, to June 30, 2023, we collected 53,914 news articles and 368,501 social media posts (from Twitter, blogs, and Instagram) using the keywords “EV” and “electric vehicle.” Through frequency analysis, topic analysis, and network analysis, we identified key topics related to EVs, while the Futures Wheel allowed us to explore secondary and tertiary factors to understand both direct and indirect impacts on the industry. Sentiment analysis further revealed public attitudes toward these factors. Our findings highlighted battery, eco-friendly, semiconductors, Tesla, hydrogen, and the used car as major themes. Consumers’ strong interest in sustainable energy solutions and emerging technologies, such as batteries, semiconductors, and hydrogen, supports a positive outlook for EVs. Based on these insights, the study suggests that automakers prioritize advanced battery and semiconductor technology development, adopt eco-friendly designs, and invest in hydrogen R&D to meet evolving consumer expectations.
키워드
- 제목
- Predicting Success Factors of Electric Vehicle Industry in the Future with Futures Wheel and Text Mining
- 저자
- 유혜; 이상근; 김진화
- 발행일
- 2024-11
- 저널명
- Journal of Industrial Convergence
- 권
- 22
- 호
- 11
- 페이지
- 13 ~ 24