Empowering Indian consumers to embrace electric vehicles through the unified theory of acceptance and use of technology
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.52Keywords:
Electric Vehicle, UTAUT Model, Consumer Intention, EVs Adoption Intention, Sustainable, Greenhouse gasesDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The Indian transport sector accounts for the highest share of greenhouse gas emissions. Traditional vehicles replacing with electric ones are India's only viable solution to reduce greenhouse gases. “Electric Vehicles (EVs)” might significantly lessen the negative effects of the transportation sector on the environment. In this research, we use a UTAUT model to assess consumer intent to embrace EVs as a means of transportation. “Data from 200 Indian respondents were collected using a purposive sampling strategy, and the results were analyzed using the Amos structural equation modelling technique”. According to the findings, there is a considerable impact of “Performance Expectancy,” “Effort Expectancy”, “Social Influence”, “Facilitating Conditions”, and “Price Value” on consumer adoption intentions for “electric vehicles”. The findings of this study will provide valuable insights for policymakers and manufacturers in developing effective marketing tactics that enhance “Customer Motivation, Awareness, and Value Generation” for “electric vehicles for sustainable development.Abstract
How to Cite
Downloads
Similar Articles
- Priya Rani, Sonia, Garima Dalal, Pooja Vyas, Pooja, Mapping electric vehicle adoption paradigms: A thematic evolution post sustainable development goals implementation , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Dhulasi Priya S, Saranya K G, Significance of artificial intelligence in the development of sustainable transportation , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Ravi Kumar P, C. Gowri Shankar, Optimizing power converters for enhanced electric vehicle propulsion: A novel research methodology , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Chandrasekaran M, Rajesh P K, Optimization of cost to customer of power train in commercial vehicle using knapsack dynamic programming influenced by vehicle IoT data , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Sahaya Jenitha A, Sinthu J. Prakash, A general stochastic model to handle deduplication challenges using hidden Markov model in big data analytics , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Divya R., Vanathi P. T., Harikumar R., An optimized cardiac risk levels classifier based on GMM with min- max model from photoplethysmography signals , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- C. Muruganandam, V. Maniraj, A Self-driven dual reinforcement model with meta heuristic framework to conquer the iot based clustering to enhance agriculture production , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- S. Sindhu, L. Arockiam, A lightweight selective stacking framework for IoT crop recommendation , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Rashika R. Singh, Nimish Gupta, G. R. Yadav, Scope of electric vehicles and the automobile industry in Indian perspective , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Sabana Backer, Prasanth A.P, The influence of attitude on green-cosmetics purchase intention (pi) in central Kerala , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Karan Berry, Shiv Kumar, Exploring the mediating role of gastronomic experience in tourist satisfaction: A multigroup analysis , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper