| Nowadays,the Internet of Vehicles technology has explored more possibilities of the development of connected automated vehicles(CAVs).The factors affecting the acceptance was analyzed from the perspective of privacy,and a theoretical model was constructed based on TAM,to solve the current social problems such as traffic jams and frequent traffic accidents and explore the influencing factors and cognitive mechanism of consumers’ acceptance.Structural equation model,multi group analysis were used to analyze the influencing factors of acceptance and the differences between diverse groups.Firstly,the acceptance model was constructed with privacy concerns,privacy benefits,privacy risks,rewards and trust by extending TAM model.Then,the questionnaires were designed referring to the authoritative scale,and distributed through the network.300 valid questionnaires were obtained and the model was assumed and verified by structural equation.The result showed that perceived ease of use had a significant impact on acceptance,while perceived usefulness did not.The impact of privacy concerns on acceptance was reflected by privacy benefits and privacy risks.People would ignore privacy risks for potential benefits and rewards because they were irrational.So privacy benefits and rewards had a significant impact on acceptance,while privacy risks did not.Meanwhile,trust was an important factor,which indirectly regulated the influence of perceived usefulness and perceived ease of use on acceptance.Finally,through multi group analysis,the differences between groups were analyzed from the perspective of technology orientation.It was showed that early adopter would care about the utility of CAVs,while late adopter would pay more attention to the ease of operation.The differences between different paths of male and female groups were also analyzed.This study has made a theoretical contribution to reveal influencing factors of acceptance,and provided policy implications for the development of CAVs. |
PDF Full Text Request