چكيده به لاتين
In this research, which is applied in terms of purpose and terms of descriptive-survey method, an attempt is made to model the acceptance of autonomous cars for Iranian users. The present study's statistical population consists of all Iranians who are over 18 years old (legally can have a driver's license). The sample selection method in this study is simple random. The research questionnaires were uploaded on the Pors Line website for two months and distributed on various social networks, and members of the community answered these questions. During these two months, 1291 people have answered the autonomous car acceptance questionnaire, and 1148 people have answered the willingness to pay questionnaire. The data collection tool is a questionnaire whose validity has been confirmed by confirmatory factor analysis, and its reliability has been confirmed by using Cronbach's alpha coefficient. To analyze the collected data, t-test, correlation coefficient, and confirmatory factor analysis were used using Spss and PLS software. The results show nine factors of attitude for use, trust, perceived usefulness, perceived safety risk, privacy risk, perceived ease of use, behavioral intention, social trust, driving pleasure in autonomous car acceptance and ten factors of attitude towards car, attitude Technology, the benefits of usefulness, perceived risk, technology acceptance, intention to buy, economy, driving pleasure, social impact, performance expectation are all effective in the willingness to pay for a car. The study of the averages among the factors influencing the acceptance of the autonomous car shows that the averages obtained from a minimum of 2.58 for social trust to a maximum of 3.97 for the ease of use are also obtained, and also a study of the averages among the influential factors in The willingness to pay for autonomous cars shows that the averages are from a minimum of 2.02 for driving pleasure to a maximum of 4.45 for an attitude towards technology.
