The Influential Factors on the Total Revenue of Autonomous Cars Using Multiple Regression Model

Since the development of new energy and autonomous cars in the domestic market has attracted the attention of a huge number of consumers. This article conducted a quantitative analysis of consumers' intention to purchase such models to analyze the impact on total sales revenues. Through the questionnaire, this research held multi-faced interviews with 150 participants to collect data. The multiple regression model is established to analyze the factors that affect consumers' purchase intention and how they lead to the decrease in total revenue. The collection feedback demonstrates that those factors could be divided into three categories: environmental performance (environmental sustainability), perceived risk, and perceived benefit. This research found that perceived benefits, such as environmental performance and the satisfaction of brand awareness of ACs, positively affect consumers' purchase intention, which is consistent with hypotheses. The online promotion also has a moderately positive effect on consumers' purchase intention. Besides, consumers' characteristics affect their purchase behavior as well. People with higher education are less inclined to buy an autonomous car. As for limitation, firstly, it is about sample size. The sample size is not big enough, and it cannot comprehensively forecast the intention.