Vliv apriorní informace na záměr spotřebitele ke koupi elektrovozidla

The thesis deals with the influence of a priori information in the consumer's intention to purchase a new vehicle. The research on a priori information is based on a partial replication of the German study "Understanding the impact that potential driving bans on conventional vehicles and the total cost of ownership have on electric vehicle choice in Germany" by Letmathe and Suarez (2020). The actual solution of this paper is designed using an application of the Black Box model, which depicts the interrelationships between consumer predispositions, situational influences and consumer decision making. The aim of this thesis is to investigate the influence of a priori information on the consumer's intention to purchase an electric vehicle. Logistic regression with the generalized estimation matrix (GEE) method is used for the evaluation. The results of the research show that the existence of a relationship between a priori information in the form of the risk of price decline in the context of an internal combustion engine car and the consumer's decision in favor of an electric vehicle cannot be proven. Neither can the relationship between a priori information in the form of transparent consumer-oriented cost of ownership (TCOc) and the consumer's decision in favour of an EV be demonstrated. Statistical significance is demonstrated for the correlation between positive Translated with DeepL.com (free version)