EconPapers    
Economics at your fingertips  
 

EVs Adoption in Alternative Business Models (ABMs): Psychological Perspective and Empirical Analysis of Indian Customers

Kumar Shalender ()
Additional contact information
Kumar Shalender: Chitkara Business School, Chitkara University, Chandigarh-Patiala National Highway (NH-64), Punjab 140401, India

International Journal of Innovation and Technology Management (IJITM), 2024, vol. 21, issue 05, 1-17

Abstract: Electric Vehicles (EVs) are prominent for achieving sustainable mobility in the future. By drawing on extant literature, we propose a conceptual framework and develop hypotheses based on Novelty seeking (NS), Perceived Behavior Control (PBC), Openness to new Experience (ONE), Risk appetite (RA), and Adoption Intention (AI) of consumers in ABMs. The analysis of data reveals that both NS and PBC are positively related to the ONE which, in turn, impacts the AI of EVs in ABMs in a significantly positive manner. The study also proves that RA moderates the relationship between ONE and AI in such a manner that a higher level of RA makes the relationship between ONE and AI stronger. We contribute to the literature on sustainable mobility by exploring the role of psychological factors in determining AI of Indian customers towards EVs in ABMs and the study has important implications for researchers, practitioners, and policymakers.

Keywords: Adoption intention; business models; customers; electric vehicles; novelty seeking; psychological factors (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219877024500378
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitmx:v:21:y:2024:i:05:n:s0219877024500378

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219877024500378

Access Statistics for this article

International Journal of Innovation and Technology Management (IJITM) is currently edited by H K Tang

More articles in International Journal of Innovation and Technology Management (IJITM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:ijitmx:v:21:y:2024:i:05:n:s0219877024500378