Examining the causal factors of the electric vehicle adoption: a pathway to tackle climate change in resource-constrained environment

Harshad Sonar, H M Belal (), Cyril Foropon, Ramkrishna Manatkar and Vandana Sonwaney
Additional contact information
Harshad Sonar: a constituent of Symbiosis International (Deemed) University, Symbiosis Institute of Operations Management (SIOM)
H M Belal: Liverpool John Moores University, Liverpool Business School
Cyril Foropon: Montpellier Business School (MBS), Operations and Supply Chain Management
Ramkrishna Manatkar: a constituent of Symbiosis International (Deemed) University, Symbiosis Institute of Operations Management (SIOM)
Vandana Sonwaney: a constituent of Symbiosis International (Deemed) University, Symbiosis Institute of Operations Management (SIOM)

Annals of Operations Research, 2025, vol. 355, issue 1, No 4, 59-85

Abstract: Abstract Electric vehicles (EVs) serve an important role in lowering greenhouse gas emissions, which helps to mitigate global warming while also contributing to long-term growth. Thus, this research explores various criterions relevant to electric vehicle (EVs) adoption and causal relationships using the decision-making trial and evaluation laboratory (DEMATEL) method. From the comprehensive literature review, a set of criteria for EVs adoption were identified and are finalised through the Delphi method. The data was gathered from eleven experts and was analyzed using the DEMATEL method to develop the causal relationship between each criterion. The sensitivity analysis was performed to check the robustness of the model. The findings revealed that the key criteria for EV adoption include their causal relationships. It is observed that charging time, driving range and price are the most important criteria for an EV purchase. Battery capacities have a major and influential impact on other criteria like charging time, torque, driving range, and maximum power. Professionals and managers in the EV manufacturing industry can benefit from this prioritization of criteria by understanding the causal relationships between them. This study can also serve as guidance for EV engineers when it comes to implementing client preferences into vehicle design. It can also assist low-performing electric vehicles in determining their benchmarks. This work contributes to building an improved understanding of causal factors of electric vehicle adoption in resource-constrained environments for policy making.

Keywords: Electric vehicles; DEMATEL; Climate change; Delphi; MCDM (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10479-023-05519-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:annopr:v:355:y:2025:i:1:d:10.1007_s10479-023-05519-8

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-023-05519-8

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().