Leveraging Fuzzy Set Qualitative Comparative Analysis to Explore Determinants of Intention to Use Self-Driving Vehicles in Ghana
The transformative potential of self-driving vehicles (SDVs) in enhancing mobility and transportation safety is well documented, yet their adoption in developing countries remains understudied. While existing research has primarily focused on SDV adoption in developed nations using variance-based me...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/16/6/323 |
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| Summary: | The transformative potential of self-driving vehicles (SDVs) in enhancing mobility and transportation safety is well documented, yet their adoption in developing countries remains understudied. While existing research has primarily focused on SDV adoption in developed nations using variance-based methods, limited attention has been given to understanding how multiple factors interact to influence adoption decisions in developing economies. This study addresses this gap by examining the determinants of SDV adoption intention in Ghana using fuzzy set qualitative comparative analysis (fsQCA). Drawing on the Technology Acceptance Model and incorporating additional constructs of perceived reliability, technological competence, and perceived risk, the study analyzed survey data from 1248 respondents across Ghana’s 16 regions. The findings reveal multiple pathways to high adoption intention, with the most effective combination being perceived reliability, perceived ease of use, and technological competence working together. For low adoption intention, two main configurations emerged, both highlighting how the combination of low technological competence and high perceived risk significantly hinders adoption. These findings provide valuable insights for policymakers and stakeholders in developing economies, emphasizing the need for targeted interventions that address both technological and socio-cultural factors influencing SDV adoption. |
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| ISSN: | 2032-6653 |