Factors influencing attitude and intention to use autonomous vehicles in Vietnam: Findings from PLS-SEM and ANFIS
Document Type
Journal Article
Publication Title
Information Technology & People
Volume
37
Issue
6
First Page
2223
Last Page
2246
Publisher
Emerald
School
School of Business and Law
RAS ID
61931
Abstract
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.
DOI
10.1108/ITP-11-2022-0825
Access Rights
subscription content
Comments
Iranmanesh, M., Ghobakhloo, M., Foroughi, B., Nilashi, M., & Yadegaridehkordi, E. (2024). Factors influencing attitude and intention to use autonomous vehicles in Vietnam: Findings from PLS-SEM and ANFIS. Information Technology & People, 37(6), 2223-2246. https://doi.org/10.1108/ITP-11-2022-0825