Authors :
Asmita Sakalle; Dr. Naveen Kumar
Volume/Issue :
Volume 10 - 2025, Issue 11 - November
Google Scholar :
https://tinyurl.com/yc4crp3n
Scribd :
https://tinyurl.com/yw9mautm
DOI :
https://doi.org/10.38124/ijisrt/25nov692
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
This study investigates how social media activity (exposure, engagement, influencer endorsements, and user-
generated content) affects consumer awareness of electric bicycles (e-bikes). Using a cross-sectional survey of urban
consumers (n ≈ 400) and structural equation modeling (SEM), the paper tests how different dimensions of social media
marketing influence awareness, perceived product knowledge, and interest in purchasing e-bikes. The study fills a gap by
integrating social media metrics with consumer awareness constructs in the emerging e-bike market and offers actionable
implications for manufacturers and policymakers seeking wider adoption. Key findings (expected) show that engagement
and influencer credibility have the strongest direct effects on awareness, while informative content (spec sheets, demo videos)
strengthens perceived knowledge and purchase interest.
Keywords :
Social Media Marketing, Consumer Awareness, Electric Bicycles, E-Bikes, Influencer Marketing, Structural Equation Modelling.
References :
- Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics, 34(7), 1177–1190.
- Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79–95.
- Boateng, H. (2019). Online relationship marketing and customer loyalty: A signaling theory perspective. International Journal of Bank Marketing, 37(1), 226–240.
- Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., ... & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168.
- Kapoor, K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in social media research: Past, present, and future. Information Systems Frontiers, 20(3), 531–558.
- Kemp, S. (2024). Digital 2024: Global overview report. DataReportal. Retrieved from https://datareportal.com/reports
- Kotler, P., Keller, K. L., Koshy, A., & Jha, M. (2022). Marketing management: A South Asian perspective (16th ed.). Pearson Education.
- Li, H., & Lin, Z. (2022). Influence of social media marketing on consumers’ purchase intention for electric vehicles. Journal of Cleaner Production, 368, 133026.
- Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357–365.
- Sharma, A., & Yadav, R. (2022). Exploring consumer awareness and purchase intention towards electric vehicles in India. Journal of Cleaner Production, 332, 129942.
- Statista. (2024). Social media usage in India – Statistics & facts. Retrieved from https://www.statista.com/topics/5113/social-media-usage-in-india
- Wang, Y., Yu, C., & Fesenmaier, D. R. (2021). The influence of social media on travel decision-making. Journal of Travel Research, 60(5), 1014–1028.
- Zollo, L., Filieri, R., Rialti, R., & Yoon, S. (2020). Unpacking the relationship between social media marketing and brand equity: The mediating role of consumers’ benefits and experience. Journal of Business Research, 117, 256–267.
This study investigates how social media activity (exposure, engagement, influencer endorsements, and user-
generated content) affects consumer awareness of electric bicycles (e-bikes). Using a cross-sectional survey of urban
consumers (n ≈ 400) and structural equation modeling (SEM), the paper tests how different dimensions of social media
marketing influence awareness, perceived product knowledge, and interest in purchasing e-bikes. The study fills a gap by
integrating social media metrics with consumer awareness constructs in the emerging e-bike market and offers actionable
implications for manufacturers and policymakers seeking wider adoption. Key findings (expected) show that engagement
and influencer credibility have the strongest direct effects on awareness, while informative content (spec sheets, demo videos)
strengthens perceived knowledge and purchase interest.
Keywords :
Social Media Marketing, Consumer Awareness, Electric Bicycles, E-Bikes, Influencer Marketing, Structural Equation Modelling.