Analysis of Relative Importance on Electric Vehicle Conversion Intention

The transportation sector is responsible for a large quantity of air pollutant emission. While electric vehicles are introduced as a method to dramatically reduce air pollutant emission, the sales of electric vehicles are relatively low compared to traditional vehicles running on fossil fuel. Past s...

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Vydáno v:2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter) s. 100 - 104
Hlavní autoři: Kwon, Chul Hwan, Rim Byun, Ha
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.01.2021
Témata:
Air pollution
Electric vehicle
Electric vehicles
Guidelines
Market Condition
Product Quality
Quality assessment
Reliability theory
Software engineering
Supportive Policy
Sustainable Consumption
Transportation
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Shrnutí:The transportation sector is responsible for a large quantity of air pollutant emission. While electric vehicles are introduced as a method to dramatically reduce air pollutant emission, the sales of electric vehicles are relatively low compared to traditional vehicles running on fossil fuel. Past studies have analyzed the factors influencing the conversion intention of electric vehicles. However, they share the limitation of not being able to approach the subject in a comprehensive approach, bringing up the need for a new research.AHP analysis conducted on the data collected showed the relative effect of dimensions in the order of product quality, policy support, market environment, and consumption consciousness. For the factors, reliability and durability, purchase subsidies, performance, and charging infrastructure showed to have the most influence on the conversion intention of electric vehicles. The theoretical implications of this study is, with a comprehensive approach, the study was able to address the conversion intention of electric vehicles with multiple factors, identifying relatively unconsidered influencing factors. In addition, for the managerial implications, the study provides a guideline for policy making and the basis data for strategy establishment of automakers.
DOI:10.1109/SNPDWinter52325.2021.00030