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Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS

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  • Foroughi, Behzad
  • Nhan, Pham Viet
  • Iranmanesh, Mohammad
  • Ghobakhloo, Morteza
  • Nilashi, Mehrbakhsh
  • Yadegaridehkordi, Elaheh

Abstract

Artificial intelligence (AI)-powered autonomous vehicles (AVs) are one of the most disruptive technologies with potentially wide-ranging social implications, including improvements in passenger/driver safety, environmental protection, and equity considerations. The current research extends the UTAUT2 model in the context of fully AVs (level 5 automation) to determine and rank determinants of intention to adopt AVs. Collected data from 378 respondents were analysed by a hybrid approach employing partial least squares (PLS) complemented by the Adaptive Neuro-Fuzzy Inference Systems (ANFIS) technique. According to the findings, five major determinants emerged: trust, hedonic motivation, social influence, compatibility, and effort expectancy. Furthermore, compatibility positively moderates the association between performance expectancy and intention to use AVs. The findings shed light on determinant factors, their level of importance, and the potential interplay between them in shaping individuals’ intention to adopt and use AVs. Furthermore, the current research provides valuable insights to carmakers, technology developers, and practitioners on determinants of AVs adoption, assisting them in devising effective AVs-related strategies.

Suggested Citation

  • Foroughi, Behzad & Nhan, Pham Viet & Iranmanesh, Mohammad & Ghobakhloo, Morteza & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh, 2023. "Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:joreco:v:70:y:2023:i:c:s096969892200251x
    DOI: 10.1016/j.jretconser.2022.103158
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    7. Suhail, Faisal & Adel, Mouhand & Al-Emran, Mostafa & AlQudah, Adi Ahmad, 2024. "Are students ready for robots in higher education? Examining the adoption of robots by integrating UTAUT2 and TTF using a hybrid SEM-ANN approach," Technology in Society, Elsevier, vol. 77(C).
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    9. Goran Bubaš & Antonela Čižmešija & Andreja Kovačić, 2023. "Development of an Assessment Scale for Measurement of Usability and User Experience Characteristics of Bing Chat Conversational AI," Future Internet, MDPI, vol. 16(1), pages 1-19, December.

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