Trust in the Electric Vehicle Service Ecosystem as a Determining Factor for Consumer Purchase Intent: A Systematic Literature Review
DOI:
https://doi.org/10.59141/jrssem.v5i6.1304Keywords:
Purchase Intention, Electric Vehicle, Consumer trust in electric vehicle adoptionAbstract
This study presents a systematic literature review to analyze consumer trust in the electric vehicle ecosystem as a significant predictor of purchase intention. The review methodology involves aggregating and synthesizing relevant studies from leading academic databases to identify key factors shaping such perceptions of trust. The analysis focuses on aspects of charging infrastructure, after-sales service availability, and government policy support that collectively influence consumer confidence in the functionality and sustainability of electric vehicles. This research will identify knowledge gaps and provide comprehensive insights for policymakers, automotive manufacturers, and future researchers to understand the dynamics of electric vehicle adoption.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Dimas Panji Asmara

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International. that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.










