Journal of Information Systems Engineering and Management

Journal of Information Systems Engineering and Management, 2023 - Volume 8 Issue 1, Article No: 25395
https://doi.org/10.55267/iadt.07.14510

Published Online: 31 Jan 2023

Views: 46 | Downloads: 25

With the increasing number of traditional fuel vehicle markets, the problems of energy supply and demand and environmental pollution are becoming more and more prominent. Electric vehicles with energy-saving and environmental protection characteristics are not only the breakthrough to solve this series of problems but also the key to the structural transformation of the automobile industry. This study takes the influencing factors of consumers’ purchase of electric vehicles as the research objective, takes quantitative research methods as the main method, and qualitative research methods as the auxiliary method to explore the influencing factors of electric vehicle purchase intention. At the same time, it takes into account the theory of consumers’ purchase decisions, builds an information management system, takes consumers’ purchase intention as the explained variable, and defines independent variables from four dimensions of consumers’ perceived value. It involves performance value, economic value, convenience value, and social value. Then, the research hypothesis is proposed that the four dimensions have a positive impact on consumers’ purchase intention. Then, the author puts forward his opinion on how to obtain the maximum benefit for electric enterprises through information management. This paper finds that the higher the consistency, coherence, and credibility of the policy mix, the higher the consumers’ willingness to adopt electric vehicles, and positively regulates the relationship between perceived behavioral control and consumers’ willingness to adopt electric vehicles. This paper also expounds on the influencing factors of purchase, which will play a positive role in promoting the consumption and development of electric vehicles.

Electric Vehicles (EV) Consumption Intentions SOR Model Information Management

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