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Factors influencing public acceptance of self-driving vehicles in a post-socialist environment: Statistical modelling in Hungary
16 references·1 citing·41 second hop
Factors influencing public acceptance of self-driving vehicles in a post-socialist environment: Statistical modelling in Hungary (2022)Factors influencing public acceptance of …Why travelers trust and accept self-driving cars: An empirical study (2020)Why travelers trust and accep…Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries (2020)Using the UTAUT2 model to exp…Automated vehicle acceptance in China: Social influence and initial trust are key determinants (2020)Automated vehicle acceptance …Utilizing Technology Acceptance Model (TAM) for driverless car technology Adoption (2018)Utilizing Technology Acceptan…The roles of initial trust and perceived risk in public’s acceptance of automated vehicles (2018)The roles of initial trust an…Attitudes and concerns on automated vehicles (2018)Attitudes and concerns on aut…An empirical investigation on consumers’ intentions towards autonomous driving (2018)An empirical investigation on…Antecedent variables of intentions to use an autonomous shuttle: Moving beyond TAM and TPB? (2017)Antecedent variables of inten…Users’ resistance towards radical innovations: The case of the self-driving car (2016)Users’ resistance towards rad…Investigating the Importance of Trust on Adopting an Autonomous Vehicle (2015)Investigating the Importance …The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption (2014)The Application of the Techno…Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents (2014)Public Opinion on Automated D…A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)A new criterion for assessing…\nThe use of partial least squares path modeling in international marketing (2009)\nThe use of partial least sq…Testing the technology acceptance model across cultures: A three country study (1997)Testing the technology accept…From Intentions to Actions: A Theory of Planned Behavior (1985)From Intentions to Actions: A…Acceptance of self-driving cars among the university community: Effects of gender, previous experience, technology adoption propensity, and attitudes toward autonomous vehicles (2023)Acceptance of self-driving ca…Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy: Toward a unifying theory of behavioral change. 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An investigation of acceptance factors from an end-user's perspective (2020)A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application (2021)The theory of planned behavior (1991)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory (2020)The roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare services (2021)A theory of human motivation. (1943)The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. (1999)A THEORY OF HUMAN MOTIVATION (2017)Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age (2017)Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks (2018)Coefficient Alpha and the Internal Structure of Tests (1951)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Structural Equations with Latent Variables. (1991)PLS-SEM: Indeed a Silver Bullet (2011)Introduction matters: Manipulating trust in automation and reliance in automated driving (2017)Psychosocial factors associated with intended use of automated vehicles: A simulated driving study (2018)What drives people to accept automated vehicles? Findings from a field experiment (2018)The blended future of automation and AI: Examining some long-term societal and ethical impact features (2023)
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References

  • 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling38,283 cited
  • 1985From Intentions to Actions: A Theory of Planned Behavior19,049 cited
  • 2009\nThe use of partial least squares path modeling in international marketing11,331 cited
  • 2014Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents1,382 cited
  • 1997Testing the technology acceptance model across cultures: A three country study1,246 cited
  • 2015Investigating the Importance of Trust on Adopting an Autonomous Vehicle1,208 cited
  • 2018The roles of initial trust and perceived risk in public’s acceptance of automated vehicles844 cited
  • 2018An empirical investigation on consumers’ intentions towards autonomous driving519 cited
  • 2020Automated vehicle acceptance in China: Social influence and initial trust are key determinants455 cited
  • 2016Users’ resistance towards radical innovations: The case of the self-driving car421 cited
  • 2014The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption318 cited
  • 2018Attitudes and concerns on automated vehicles283 cited
  • 2020Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries264 cited

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2018
Utilizing Technology Acceptance Model (TAM) for driverless car technology Adoption
161 cited
  • 2020Why travelers trust and accept self-driving cars: An empirical study144 cited
  • 2017Antecedent variables of intentions to use an autonomous shuttle: Moving beyond TAM and TPB?135 cited
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    • 2023Acceptance of self-driving cars among the university community: Effects of gender, previous experience, technology adoption propensity, and attitudes toward autonomous vehicles68 cited