Green drives: Understanding how environmental propensity, range and technological anxiety shape electric vehicle adoption intentions

IF 12.9 1区管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-11-05 DOI:10.1016/j.techfore.2024.123859

Vikas Kumar , Arun Kumar Kaushik , Farima Noravesh , Rahul Sindhwani , K. Mathiyazhagan

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Abstract

Electric vehicles (EVs) might reduce transportation-related carbon emissions and solve environmental problems. Therefore, the present research examines the effects of environmental propensity (EP), subjective norms (SN), and range and technology anxiety on perceived behavioral control (PBC) and attitude towards EV adoption in India and Australia. Furthermore, the study explores PBC and attitude's influence and mediating effects on behavioral intention (BI) to EV adoption. Data were collected online and offline from 605 respondents (317 Indian and 288 Australian) and examined using the Structural Equation Modeling technique. The findings reveal that environmental propensity, subjective norms, perceived behavioral control, and attitude towards EVs are the primary constructs influencing customers' intention to adopt EVs. Subjective norms is the most prominent factor influencing customers' intention to adopt EVs in India and Australia; therefore, industry practitioners targeting these economies must analyze these factors adequately. The research provides meaningful implications to support EV adoption and enriches the understanding of consumers' adoption intention in both countries. Hence, the research findings will benefit different EV manufacturers targeting these nations for EV companies.

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绿色驱动：了解环保倾向、续航能力和技术焦虑如何影响电动汽车的采用意向

电动汽车（EV）可以减少与交通相关的碳排放，解决环境问题。因此，本研究探讨了印度和澳大利亚的环境倾向（EP）、主观规范（SN）、续航里程和技术焦虑对感知行为控制（PBC）和电动汽车采用态度的影响。此外，本研究还探讨了感知行为控制（PBC）和态度对电动汽车采用的行为意向（BI）的影响和中介作用。研究通过在线和离线方式收集了 605 名受访者（317 名印度人和 288 名澳大利亚人）的数据，并使用结构方程模型技术对数据进行了检验。研究结果表明，环境倾向、主观规范、感知行为控制和对电动汽车的态度是影响消费者采用电动汽车意向的主要因素。在印度和澳大利亚，主观规范是影响顾客采用电动汽车意愿的最主要因素；因此，针对这些经济体的行业从业者必须充分分析这些因素。研究为支持电动汽车的采用提供了有意义的启示，并丰富了对两国消费者采用电动汽车意向的理解。因此，研究结果将有利于针对这两个国家的不同电动汽车制造商和电动汽车公司。

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

期刊介绍： Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.