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Factors influencing attitude and intention to use autonomous vehicles in Vietnam: findings from PLS-SEM and ANFIS
Information Technology & People ( IF 4.481 ) Pub Date : 2023-08-24 , DOI: 10.1108/itp-11-2022-0825
Mohammad Iranmanesh , Morteza Ghobakhloo , Behzad Foroughi , Mehrbakhsh Nilashi , Elaheh 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.



中文翻译:

影响越南使用自动驾驶汽车的态度和意图的因素:PLS-SEM 和 AFIS 的调查结果

目的

本研究旨在探讨可能决定使用自动驾驶汽车 (AV) 的态度和意图的因素并对其进行排名。

设计/方法论/途径

通过评估个人相关因素的调节影响,扩展了“技术接受模型”(TAM)。数据收集自 378 名越南人,并结合“偏最小二乘法”和“自适应神经模糊推理系统”(ANFIS) 技术进行分析。

发现

研究结果证明了 TAM 在解释使用自动驾驶汽车的态度和意图方面的力量。ANFIS 能够对决定因素的重要性进行排名并预测结果。感知易用性和态度分别是使用自动驾驶汽车的态度和意图的最关键驱动因素。个人创新性负向调节感知易用性对态度的影响。数据隐私问题正向调节感知有用性对态度的影响。价格敏感性的调节作用没有得到支持。

实际影响

这些研究结果为政策制定者和汽车公司的经理、设计师和营销人员提供了关于决策采用自动驾驶汽车的驱动因素的见解。

原创性/价值

该研究通过说明个人相关因素的重要性、对态度和意图的决定因素进行排名、说明 AV 采用因素之间的相互关系以及预测个人对使用 AV 的态度和行为来扩展 AV 文献。

更新日期:2023-08-23
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