Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

The role of emotional coherence in electric vehicle purchasing decisions

Lookup NU author(s): Dr Cristian Domarchi DomarchiORCiD, Dr Quoc VuongORCiD, Professor Elisabetta Cherchi

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2024 The Author(s). Cognitive consistency theories offer a solid background to understand the effects of latent psychological constructs in decision-making. These theories model decision-making as the product of a dynamic and recursive process in which individual elements are evaluated toward a decision and this emerging decision returns to its individual elements. In this study, we use the Hot Coherence (HOTCO) cognitive consistency theory to analyse the choice between electric, hybrid-electric, and petrol vehicles. We apply the model to a sample of respondents from England households with one or more cars. The HOTCO model offers a more nuanced representation of the decision-making process – compared with traditional attitude-behaviour link theories – by incorporating non-linear and multidimensional interactions between its components. Our results suggest that positive attitudes and emotional appraisals for electric and hybrid-electric vehicles are shaped by similar motivators, and respondents perceive them as capable of satisfying the same set of needs. In addition, environmental awareness and pro-innovative orientation are the two motives that generate the greater differences in attitudinal evaluations of petrol vehicles, compared with alternative fuels.


Publication metadata

Author(s): Domarchi C, Vuong QC, Cherchi E

Publication type: Article

Publication status: Published

Journal: Transportation Research Part F: Traffic Psychology and Behaviour

Year: 2024

Volume: 107

Pages: 997-1014

Print publication date: 01/11/2024

Online publication date: 01/11/2024

Acceptance date: 22/10/2024

Date deposited: 12/11/2024

ISSN (print): 1369-8478

ISSN (electronic): 1873-5517

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.trf.2024.10.018

DOI: 10.1016/j.trf.2024.10.018

Data Access Statement: Data will be made available on request.


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
Leverhulme Doctoral Scholarship in Behaviour Informatics (DS-2017-015)
Newcastle University Overseas Research Scholarship (NUORS)

Share