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The meta-analysis examines the predictive power of technology acceptance models, while the interviews offer qualitative insights to elaborate on and deepen the quantitative findings. The integration of these two methods allows for the development of meta-inferences and a more holistic view of AV adoption.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The meta-analysis revealed that while traditional technology acceptance factors such as perceived usefulness and trust remain significant, the effects of perceived ease of use and perceived behavioral control are weak. New factors such as perceived loss of autonomy, loss of personal control and informational social influence emerged as critical influences on AV adoption. The qualitative findings further elaborate on these factors, highlighting the need for updated conceptualizations.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This research offers a novel contribution by integrating meta-analytic and qualitative findings to reassess the applicability of existing technology acceptance theories for AVs. 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