Does environmental awareness play a role in EV adoption? A value-based adoption model analysis with SEM-ANN approach

Sohaib Mustafa, Wen Zhang, Rui Li
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引用次数: 16

Abstract

Abstract. Global warming is a serious threat to humanity, and one of the main reasons is that the transport sector contributes to CO2 emissions. The auto industry's Introduction of electric-powered vehicles (EVs) is widely viewed as the primary solution. Although electric vehicles (EVs) have numerous benefits, acceptance rates vary widely from country to country, and the promised reductions in energy shortages and emissions have not materialized. We used the Value-based technology adoption model and added Environmental awareness (EA) as a new factor in this model to assess the role of EA in EV adoption intentions. Because of the complexity in consumer adoption decisions and nonlinearity in the dataset, we proposed the SEM-ANN mixed-method approach to address these issues. We gathered responses from 751 EV users in China and used the SEM-ANN dual-stage mix model to evaluate presented hypotheses and prioritize factors by relevance. According to the study's findings, although EA is a major predictor of EV adoption, it is not the most important. According to the study's findings, perceptions of the benefits and sacrifices associated with EV adoption have a considerable influence on the perceived value of EV, so this worth drives adoption intentions. Government and the electric car manufacturing business stand to gain much from this research, both theoretically and practically.
环保意识在电动汽车的普及中起作用吗?基于价值的采用模型SEM-ANN分析
摘要全球变暖是对人类的严重威胁,其中一个主要原因是交通部门增加了二氧化碳的排放。汽车行业推出的电动汽车(ev)被广泛视为主要解决方案。尽管电动汽车(ev)有很多好处,但各国的接受率差异很大,而且承诺的减少能源短缺和排放的承诺也没有实现。我们使用了基于价值的技术采用模型,并将环境意识(EA)作为该模型中的一个新因素来评估EA在电动汽车采用意图中的作用。由于消费者采用决策的复杂性和数据集的非线性,我们提出了SEM-ANN混合方法来解决这些问题。我们收集了751名中国电动汽车用户的反馈,并使用SEM-ANN双阶段混合模型来评估提出的假设,并根据相关性对因素进行优先排序。根据这项研究的发现,虽然EA是电动汽车采用的主要预测指标,但它并不是最重要的。根据这项研究的发现,人们对采用电动汽车的好处和牺牲的看法对电动汽车的感知价值有相当大的影响,因此这种价值驱动了采用意图。政府和电动汽车制造企业将从这一研究中获益,无论是在理论上还是在实践中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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