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

被引:0
|
作者
Kumar, Vikas [1 ]
Kaushik, Arun Kumar [2 ]
Noravesh, Farima [3 ]
Sindhwani, Rahul [4 ]
Mathiyazhagan, K. [5 ]
机构
[1] Guru Nanak Dev Univ, Univ Business Sch, Amritsar, India
[2] Indian Inst Management Amritsar, Punjab, India
[3] Swinburne Univ Technol, Melbourne, Australia
[4] Indian Inst Management Sambalpur, Odisha, India
[5] Thiagarajar Sch Management, Madurai 625005, Tamil Nadu, India
关键词
Electric vehicles; Environmental propensity; Transportation research; Behavioral intention; Cross-cultural study; PLANNED BEHAVIOR; DISCRIMINANT VALIDITY; CONSUMERS INTENTION; EXTENDED THEORY; HYBRID; MEDIATION; CARBON; MODEL; WILLINGNESS; RESEARCHERS;
D O I
10.1016/j.techfore.2024.123859
中图分类号
F [经济];
学科分类号
02 ;
摘要
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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页数:14
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