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Equifinal roads to a driverless future: A techno-institutional mixed-methods fsQCA study of demographic-specific archetypes | Synapse
March 3, 2026
Equifinal roads to a driverless future: A techno-institutional mixed-methods fsQCA study of demographic-specific archetypes
SM
Sohaib Mustafa
Université TÉLUQ
QW
Qiang Wang
KJ
Khalid Jamil
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Key Points
Driverless vehicle adoption varies by demographic-specific archetypes, shaping future transportation systems.
Key finding includes ten distinct archetypes based on demographic factors and technology acceptance.
Mixed-methods fsQCA approach analyzes qualitative and quantitative data to unveil adoption patterns.
Implications highlight the need for targeted strategies in promoting driverless technology acceptance across different groups.
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Mustafa et al. (Tue,) studied this question.
synapsesocial.com/papers/69a7621dc6e9836116a30315
https://doi.org/https://doi.org/10.1016/j.techfore.2026.124569