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Factors influencing attitude and intention to use autonomous vehicles in Vietnam: Findings from PLS-SEM and ANFIS

journal contribution
posted on 2025-04-29, 22:51 authored by M Iranmanesh, M Ghobakhloo, B Foroughi, M Nilashi, Elaheh YadegaridehkordiElaheh Yadegaridehkordi
Purpose This study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs). Design/methodology/approach The “technology acceptance model” (TAM) was extended by assessing the moderating influences of personal-related factors. Data were collected from 378 Vietnamese and analysed using a combination of “partial least squares” and the “adaptive neuro-fuzzy inference system” (ANFIS) technique. Findings The findings demonstrated the power of TAM in explaining the attitude and intention to use AVs. ANFIS enables ranking the importance of determinants and predicting the outcomes. Perceived ease of use and attitude were the most crucial drivers of attitude and intention to use AVs, respectively. Personal innovativeness negatively moderates the influence of perceived ease of use on attitude. Data privacy concerns moderate positively the impact of perceived usefulness on attitude. The moderating effect of price sensitivity was not supported. Practical implications These findings provide insights for policymakers and automobile companies' managers, designers and marketers on driving factors in making decisions to adopt AVs. Originality/value The study extends the AVs literature by illustrating the importance of personal-related factors, ranking the determinants of attitude and intention, illustrating the inter-relationships among AVs adoption factors and predicting individuals' attitudes and behaviours towards using AVs.

History

Volume

37

Issue

6

Start Page

2223

End Page

2246

Number of Pages

24

eISSN

1758-5813

ISSN

0959-3845

Publisher

Emerald

Language

en

Peer Reviewed

  • Yes

Open Access

  • No

Acceptance Date

2023-08-02

Era Eligible

  • Yes

Journal

Information Technology & People

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