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Behavioural intention to use autonomous vehicles: Systematic review and empirical extension
Transportation Research Part C: Emerging Technologies ( IF 8.3 ) Pub Date : 2020-08-14 , DOI: 10.1016/j.trc.2020.102732
Tamara Keszey

This study aims to enrich autonomous vehicle (AV) adoption research and practice by being the first study to systematically review empirical studies on behavioural intention to use AVs, a key element in the adoption process. This review of the extant literature provides a synthesized overview of the current state of knowledge, develops a meta-framework to reconcile past research, identifies inconsistencies in prior results, and suggests areas for future research. To address these future directions, this study empirically extends the proposed meta-framework by testing impactful new variables. Structural equation modelling of survey data from 992 respondents in Hungary shows that drivers of behavioural intention to use AVs significantly differ among users with high and with low personal information technology innovativeness. The behavioural intention of innovative users is influenced by utilitarian and hedonic motivations, whereas laggards are driven by hedonic motivation, and a utilitarian motivation does not play a role. Innovative users' behavioural intention to use AVs is affected by specific technological fears (i.e., data privacy concerns), whereas those lagging are not influenced by specific, only by general concerns (i.e., overall technological anxiety). The study also shows how individual-level behavioural intention to use AVs interacts with expected societal-level outcomes (e.g., equal opportunity for mobility). The results shed light on the need for more research on the role of moderating variables, which are relatively unexplored in the extant literature yet can contribute to a better understanding of the differences in patterns between various groups of future users, offering important managerial implications.



中文翻译:

使用自动驾驶汽车的行为意图:系统评价和经验扩展

这项研究旨在通过系统地审查关于使用自动驾驶汽车的行为意图的实证研究的第一项研究,从而丰富自动驾驶汽车的采用研究和实践,这是采用过程中的关键要素。对现有文献的回顾提供了对当前知识状态的综合概述,开发了一种框架以调和过去的研究,确定了先前结果中的矛盾之处,并提出了未来研究的领域。为了解决这些未来的方向,本研究从经验上扩展了拟议的通过测试有影响力的新变量来建立框架。来自匈牙利的992位受访者的调查数据的结构方程模型表明,个人信息技术创新程度高和低的用户之间,使用AV的行为意图驱动因素存在显着差异。创新用户的行为意图受功利动机和享乐主义动机的影响,而落后者则受享乐主义动机的驱动,而功利主义动机则不起作用。创新用户使用AV的行为意图受特定技术恐惧(即数据隐私问题)的影响,而那些落后者不受特定影响,而仅受一般问题(即总体技术焦虑)的影响。该研究还显示了使用AV的个人层面的行为意图如何与预期的社会层面的成果互动(例如 (例如流动的机会均等)。结果表明有必要对调节变量的作用进行更多的研究,这些变量在现有文献中尚未得到充分探讨,但可以有助于更好地理解未来用户各组之间的模式差异,从而提供重要的管理意义。

更新日期:2020-08-15
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