影响越南使用自动驾驶汽车的态度和意向的因素:来自PLS-SEM和ANFIS的研究结果

M. Iranmanesh, M. Ghobakhloo, B. Foroughi, M. Nilashi, E. Yadegaridehkordi
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引用次数: 0

摘要

目的本研究旨在探讨可能决定使用自动驾驶汽车(AVs)的态度和意图的因素并对其进行排名。设计/方法/方法通过评估个人相关因素的调节作用,扩展了“技术接受模型”(TAM)。从378名越南人中收集数据,并使用“偏最小二乘法”和“自适应神经模糊推理系统”(ANFIS)技术的组合进行分析。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序并预测结果。感知易用性和态度分别是自动驾驶态度和使用意向的最重要驱动因素。个人创新负向调节感知易用性对态度的影响。数据隐私关注正向调节感知有用性对态度的影响。不支持价格敏感性的调节作用。这些发现为政策制定者和汽车公司的管理者、设计师和营销人员提供了关于决定采用自动驾驶汽车的驱动因素的见解。原创性/价值本研究通过说明个人相关因素的重要性,对态度和意向的决定因素进行排序,说明自动驾驶汽车采用因素之间的相互关系,并预测个人对使用自动驾驶汽车的态度和行为,对自动驾驶汽车文献进行了扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors influencing attitude and intention to use autonomous vehicles in Vietnam: findings from PLS-SEM and ANFIS
PurposeThis study aims to explore and ranks the factors that might determine attitudes and intentions toward using autonomous vehicles (AVs).Design/methodology/approachThe “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.FindingsThe 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 implicationsThese findings provide insights for policymakers and automobile companies' managers, designers and marketers on driving factors in making decisions to adopt AVs.Originality/valueThe 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.
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