IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
webp (1)

Plagiarism Passed
Peer reviewed
Open Access

DETERMINANTS OF ELECTRIC VEHICLE ADOPTION AMONG YOUNG ADULTS: AN EXTENDED TECHNOLOGY ACCEPTANCE MODEL APPROACH USING PLS-SEM

AUTHORS:
Dr. Harsh Jain
Mentor
Affiliation
Department of Commerce ,Government Mahamaya College, Ratanpur, Bilaspur, Chhattisgarh – 495442
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Electric vehicles (EVs) are emerging as a key innovation for sustainable mobility, offering reduced dependence on fossil fuels and lower greenhouse gas emissions. In India, the transportation sector contributes significantly to national emissions, and government initiatives such as subsidies and incentive schemes have accelerated the development of the EV market. Despite this progress, adoption remains uneven, particularly among young consumers who represent the future demand for sustainable transportation.

This study investigates the determinants of EV adoption among young adults in Bilaspur, Chhattisgarh, using data from 120 college students. The research model integrates the Technology Acceptance Model (TAM) with contextual factors such as awareness, environmental concern, social influence, charging infrastructure, and cost barriers. Data were collected through a structured questionnaire using a five-point Likert scale and analyzed using PLS-SEM.

The findings reveal that perceived ease of use and perceived usefulness significantly influence attitude toward EVs, which in turn positively affects purchase intention. Additionally, perceived usefulness directly impacts purchase intention. However, awareness, environmental concern, social influence, and cost barriers were not significant predictors of attitude, while charging infrastructure showed only marginal influence. These results suggest that young adults in Bilaspur prioritize practical usability and perceived benefits of EVs over environmental or social motivations. The study offers valuable insights for policymakers, educational institutions, and EV manufacturers to design targeted strategies that enhance usability, improve perceived benefits, and address infrastructure concerns to encourage EV adoption among youth in emerging urban contexts.
Keywords
Awareness Charging Infrastructure Cost Barrier Environmental Concern Perceived Ease of Use Perceived Usefulness Social Influence.
Article Metrics
Article Views
54
PDF Downloads
2
HOW TO CITE
APA

MLA

Chicago

Copy

Jain, H. (2026). Determinants Of Electric Vehicle Adoption Among Young Adults: An Extended Technology Acceptance Model Approach using PLS-SEM. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.016

Jain, Harsh. "Determinants Of Electric Vehicle Adoption Among Young Adults: An Extended Technology Acceptance Model Approach using PLS-SEM." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.016.

Jain, Harsh. "Determinants Of Electric Vehicle Adoption Among Young Adults: An Extended Technology Acceptance Model Approach using PLS-SEM." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.016.

References
1.Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

2.Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

3.Dhankhar, S., Pateer, S., Sandhu, V., & Kaur, H. (2024). Barriers to electric vehicle adoption in India: A comparative review and future growth prospects. European Economic Letters, 14(3), 2007–2015.

4.Dunlap, R. E., Van Liere, K. D., Mertig, A. G., & Jones, R. E. (2000). Measuring endorsement of the new ecological paradigm: A revised NEP scale. Journal of Social Issues, 56(3), 425–442.

5.Egbue, O., & Long, S. (2012). Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions. Energy Policy, 48, 717–729.

6.Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage Publications.

7.India’s electric vehicle journey. (n.d.). Drishti IAS. https://www.drishtiias.com/daily-updates/daily-news-editorials/india-s-electric-vehicle-journey

8.Jansson, J., Nordlund, A., & Westin, K. (2011). Examining drivers of sustainable consumption: The influence of norms and attitudes on electric vehicle adoption. Journal of Cleaner Production, 19(17–18), 2058–2065.

9.Mehta, H., Rathod, L., Shah, F., Bhatt, A., Machhvara, J., Chauhan, R., & Maseleno, A. (2024). Perceptions of electric vehicle adoption among young adults in Ahmedabad: Exploring influences and implications. Global Journal of Innovative Economic Studies, 1(4), 202–212.

10.Moons, I., & De Pelsmacker, P. (2012). Emotions as determinants of electric car usage intention. Journal of Marketing Management, 28(3–4), 195–237
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
Indexed In
Similar Articles
The Philosophy of Technology: Human Agency in the Age of Artificial Intelligence
string(13) "Meera V. Nair" Nair, M. V.
(2026)
DOI: 10.55041/ijsmt.v2i2.001
AI Healthcare Assistant using Machine Learning and NLP
string(68) "Vaishnavi Dhongade , K. Naga Sowmya , Akash Dhage ,Tejas Suryawanshi" Suryawanshi, V. D. ,. K. N. S. ,. A. D. ,.
(2026)
DOI: 10.55041/ijsmt.v2i2.001
A Study on Coping Strategies of Stress Management Among Teaching Faculties of Higher Education
string(31) "Neeraj Mishra ,Shubham Dadariya" Dadariya, N. M. ,.
(2026)
DOI: 10.55041/ijsmt.v2i3.032
Scroll to Top