Predicting Success Factors of Electric Vehicle Industry in the Future with Futures Wheel and Text Mining

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

전기차성공요인미래예측퓨처스 휠텍스트 마이닝electric vehiclesuccess factorsfuture predictionfutures wheeltext mining
제목
Predicting Success Factors of Electric Vehicle Industry in the Future with Futures Wheel and Text Mining
저자
유혜이상근김진화
DOI
10.22678/JIC.2024.22.11.013
발행일
2024-11
저널명
Journal of Industrial Convergence
22
11
페이지
13 ~ 24