Alwadain Ayed, Fati Suliman Mohamed, Ali Kashif, Ali Rao Faizan
Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia.
Information Systems Department, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia.
PLoS One. 2024 Mar 12;19(3):e0297890. doi: 10.1371/journal.pone.0297890. eCollection 2024.
In Industry 4.0, the adoption of new technology has played a major role in the transportation sector, especially in the electric vehicles (EVs) domain. Nevertheless, consumer attitudes towards EVs have been difficult to gauge but researchers have tried to solve this puzzle. The prior literature indicates that individual attitudes and technology factors are vital to understanding users' adoption of EVs. Thus, the main aim is to meticulously investigate the unexplored realm of EV adoption within nations traditionally reliant on oil, exemplified by Saudia Arabia. By integrating the "task technology fit" (TTF) model and the "unified theory of acceptance and usage of technology" (UTAUT), this research develops and empirically validates the framework. A cross-section survey approach is adopted to collect 273 valid questionnaires from customers through convincing sampling. The empirical findings confirm that the integration of TTF and UTAUT positively promotes users' adoption of EVs. Surprisingly, the direct effect of TTF on behavioral intentions is insignificant, but UTAUT constructs play a significant role in establishing a significant relationship. Moreover, the UTAUT social influence factor has no impact on the EVs adoption. This groundbreaking research offers a comprehensive and holistic methodology for unravelling the complexities of EV adoption, achieved through the harmonious integration of two well-regarded theoretical frameworks. The nascent of this research lies in the skilful blending of technological and behavioral factors in the transportation sector.
在工业4.0时代，新技术的采用在交通运输领域发挥了重要作用，尤其是在电动汽车领域。然而，消费者对电动汽车的态度一直难以衡量，但研究人员一直在努力解开这个谜团。先前的文献表明，个人态度和技术因素对于理解用户对电动汽车的采用至关重要。因此，主要目的是精心研究传统上依赖石油的国家（如沙特阿拉伯）中电动汽车采用这一未被探索的领域。通过整合“任务技术匹配”（TTF）模型和“技术接受与使用统一理论”（UTAUT），本研究开发并实证验证了该框架。采用横断面调查方法，通过有说服力的抽样从客户那里收集了273份有效问卷。实证结果证实，TTF和UTAUT的整合积极促进了用户对电动汽车的采用。令人惊讶的是，TTF对行为意图的直接影响不显著，但UTAUT结构在建立显著关系中发挥了重要作用。此外，UTAUT社会影响因素对电动汽车的采用没有影响。这项开创性的研究通过巧妙地整合两个备受认可的理论框架，提供了一种全面而整体的方法来揭示电动汽车采用的复杂性。这项研究的创新之处在于巧妙地融合了交通运输领域的技术和行为因素。
