Proud to go electric: Overcoming perceived functional barriers to EV adoption through congruent messaging frames
• Infrastructure, maintenance, and range anxiety are key perceived obstacles to EV adoption. • Marketing messages that evoke pride can reduce these barriers and boost purchase intentions. • Concrete, self-targeted messages increase purchase intentions by enhancing pride and reducing perceived obstacles to EV use. • Practical Implications: Findings offer insights for EV brands and policymakers to promote sustainable EV adoption. Growing reports indicate a slowdown in electric vehicle (EV) sales, particularly among consumers yet to embrace this sustainable transportation option. A key functional barrier to adopting EVs relates to infrastructure, maintenance, and range anxiety issues. This study explores how marketing can address this barrier by framing messages to evoke anticipated pride in owning an EV, thus reducing range anxiety, charging inconvenience, and ultimately increasing purchase intentions. Grounded in construal level theory and affect-as-information theory, the study employs an online experiment with 223 Australian consumers yet to purchase an EV. Results reveal that concrete, self-targeted messages yield greater purchase intentions, driven by increased anticipated pride in ownership and reduced perceived functional barriers. These findings underscore the importance of framing in marketing messaging to encourage EV adoption and offer practical implications for EV brands and policymakers.
Authors
- Rory Mulcahy (ORCID: https://orcid.org/0000-0002-6056-3249)
- Margarietha de Villiers Scheepers (ORCID: https://orcid.org/0000-0002-5084-854X)
- David Fleischman (ORCID: https://orcid.org/0000-0001-6407-1690)
- Nicolas Reichenbach
Institutions
- University of the Sunshine Coast (AU)
Publication Details
- Journal
- Transportation Research Part F Traffic Psychology and Behaviour
- Published
- 2025-05-24
- DOI
- https://doi.org/10.1016/j.trf.2025.05.019
- Citations
- 5
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 3.65
Funders
- Department of Science, Information Technology and Innovation, Queensland Government