Powering the transition: examining factors influencing the intention to adopt electric vehicles

IF 3.5 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Smart and Sustainable Built Environment Pub Date : 2023-11-21 DOI:10.1108/sasbe-06-2023-0155
Anand Thakur, Jithin Krishnan K, Alisha Ansari
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Abstract

Purpose The purpose of the study is to examine the factors that influence people's intention to adopt electric vehicles (EVs). The study used an expanded theory of planned behaviour (TPB) along with the addition of perceived trust and consideration of future consequences (CFC).Design/methodology/approach The study is based on primary data collected from 282 respondents in Punjab through a questionnaire. The collected data were analysed using SPSS 26 and AMOS 24 to perform confirmatory factor analysis and structural equation modelling.Findings The empirical analysis indicates that attitude, subjective norms and perceived trust have a significant influence on the adoption intention (AI) of EVs.Research limitations/implications The implications provide policymakers and marketers with better insights into marketing EVs in the trajectory of sustainable mobility. Marketers should create focussed marketing materials that highlight the environmental ease of use, lower running costs and sophisticated technology of electric automobiles. The limitations of the study provide valuable insights for future researchers.Originality/value This is the first study that uses CFC with the TPB model in the context of AI of EVs specifically for the Punjab region.
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为转型提供动力:研究影响采用电动汽车意向的因素
目的 本研究旨在探讨影响人们采用电动汽车(EV)意向的因素。研究采用了扩展的计划行为理论(TPB),并增加了感知信任和未来后果考虑(CFC)。实证分析表明,态度、主观规范和感知信任对电动汽车的采用意向(AI)有显著影响。研究局限性/启示 这些启示为政策制定者和营销人员提供了在可持续移动性的轨道上营销电动汽车的更好见解。营销人员应制作有针对性的营销材料,突出电动汽车的环保易用性、较低的运行成本和先进的技术。本研究的局限性为未来的研究人员提供了宝贵的见解。 原创性/价值 这是第一项针对旁遮普地区电动汽车人工智能使用 CFC 和 TPB 模型的研究。
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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来源期刊
Smart and Sustainable Built Environment
Smart and Sustainable Built Environment GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
9.20
自引率
8.30%
发文量
53
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