Issue |
ITM Web Conf.
Volume 68, 2024
2024 First International Conference on Artificial Intelligence: An Emerging Technology in Management (ICAETM 2024)
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Article Number | 01027 | |
Number of page(s) | 13 | |
Section | Engineering Technology & Management | |
DOI | https://doi.org/10.1051/itmconf/20246801027 | |
Published online | 12 December 2024 |
Embracing Electric Two-Wheelers: A Transformative Shift in Consumer Adoption of Eco-Friendly Transportation Technology
1 VTU RRC Belagavi, India
2 KLS Gogte Institute of Technology, India
This study investigates the pivotal shift in consumer behaviour towards adopting eco-friendly transportation technology, specifically focusing on the significant uptake of electric two-wheelers. Employing a comprehensive review of contemporary literature and empirical data, this research examines the multidimensional factors influencing consumers’ enthusiastic acceptance of electric two-wheelers using structural Equation Modelling and Technology Acceptance Model. The data would be collected from users of EVs and Non EVs. The analysis reveals a confluence of factors driving this transformative trend, including heightened environmental awareness, advancements in battery technology, cost-efficiency considerations, urban mobility needs, supportive governmental policies, diversification in brand offerings, and evolving consumer preferences. Understanding the motivations behind consumers’ shift towards electric two-wheelers holds crucial implications for policymakers, manufacturers, and marketers, guiding strategies for sustainable transportation development, infrastructure enhancement, and targeted marketing initiatives. This study contributes to the existing literature by consolidating insights into the profound transformation occurring in consumer preferences towards ecofriendly transportation solutions, particularly in the domain of electric twowheelers.
Key words: Electric two-wheelers / Consumer adoption / Eco-friendly transportation / Sustainability / Consumer behaviour
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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