A STUDY ON THE CONSUMER AWARENESS TOWARDS ELECTRIC BIKES

The growing emphasis on sustainable transportation has highlighted electric bikes (e-bikes) as a viable alternative to conventional vehicles, sparking significant interest in understanding consumer awareness, market acceptance, and adoption potential. This research paper presents a comprehensive marketing analysis of electric bikes, conducted through a survey of 100 participants across diverse demographic segments, to assess consumer knowledge, perceptions, and purchase intentions regarding e-bikes. The study aims to identify key factors influencing e- bike adoption, pinpoint target consumer segments, and evaluate the role of price sensitivity, environmental consciousness, and infrastructural accessibility in shaping purchase decisions. To ensure a robust and statistically validated analysis, the research employs multiple statistical techniques, including Analysis of Variance (ANOVA), Chi-square tests, and regression analysis. ANOVA was utilized to examine the influence of demographic variables (such as age, income, and education) on consumer awareness of e-bikes, revealing significant variations across age and income groups, with younger and higher-income respondents exhibiting greater familiarity and positive attitudes toward e-bike usage. Chi-square tests were applied to assess associations between categorical variables, such as the relationship between environmental awareness and the likelihood of purchasing an e-bike. The results indicated a strong correlation, with environmentally conscious consumers displaying higher purchase intent. Regression analysis was employed to quantify the impact of independent variables—including perceived benefits, government incentives, and cost concerns—on the dependent variable, purchase intention. The regression model demonstrated that perceived advantages, such as cost savings and eco- friendliness, significantly enhanced purchase intent, while high initial costs and limited bike lane infrastructure acted as notable barriers. The findings of this study offer valuable insights for e-bike manufacturers and policymakers, underscoring the importance of targeted marketing strategies that address cost concerns and infrastructural limitations while promoting the economic and environmental benefits of e-bikes. Strategic recommendations include expanding dedicated cycling infrastructure, introducing financial incentives, and increasing consumer education on e- bike advantages. This research lays the groundwork for future studies to further explore consumer behavior in the e-bike market, incorporating longitudinal data and larger sample sizes to refine market segmentation and optimize marketing strategies for broader e-bike adoption.

Authors

Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-03-30
DOI
https://doi.org/10.55041/isjem02522
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A STUDY ON THE CONSUMER AWARENESS TOWARDS ELECTRIC BIKES

S Muthumani, Martin Xavier Kumar
International Scientific Journal of Engineering and Management
Urban Transport and Accessibility
article

A STUDY ON THE CONSUMER AWARENESS TOWARDS ELECTRIC BIKES

S Muthumani, Martin Xavier Kumar
article en

Abstract

The growing emphasis on sustainable transportation has highlighted electric bikes (e-bikes) as a viable alternative to conventional vehicles, sparking significant interest in understanding consumer awareness, market acceptance, and adoption potential. This research paper presents a comprehensive marketing analysis of electric bikes, conducted through a survey of 100 participants across diverse demographic segments, to assess consumer knowledge, perceptions, and purchase intentions regarding e-bikes. The study aims to identify key factors influencing e- bike adoption, pinpoint target consumer segments, and evaluate the role of price sensitivity, environmental consciousness, and infrastructural accessibility in shaping purchase decisions. To ensure a robust and statistically validated analysis, the research employs multiple statistical techniques, including Analysis of Variance (ANOVA), Chi-square tests, and regression analysis. ANOVA was utilized to examine the influence of demographic variables (such as age, income, and education) on consumer awareness of e-bikes, revealing significant variations across age and income groups, with younger and higher-income respondents exhibiting greater familiarity and positive attitudes toward e-bike usage. Chi-square tests were applied to assess associations between categorical variables, such as the relationship between environmental awareness and the likelihood of purchasing an e-bike. The results indicated a strong correlation, with environmentally conscious consumers displaying higher purchase intent. Regression analysis was employed to quantify the impact of independent variables—including perceived benefits, government incentives, and cost concerns—on the dependent variable, purchase intention. The regression model demonstrated that perceived advantages, such as cost savings and eco- friendliness, significantly enhanced purchase intent, while high initial costs and limited bike lane infrastructure acted as notable barriers. The findings of this study offer valuable insights for e-bike manufacturers and policymakers, underscoring the importance of targeted marketing strategies that address cost concerns and infrastructural limitations while promoting the economic and environmental benefits of e-bikes. Strategic recommendations include expanding dedicated cycling infrastructure, introducing financial incentives, and increasing consumer education on e- bike advantages. This research lays the groundwork for future studies to further explore consumer behavior in the e-bike market, incorporating longitudinal data and larger sample sizes to refine market segmentation and optimize marketing strategies for broader e-bike adoption.

International Scientific Journal of Engineering and ManagementVol. 04(03)
Openalex Percentile: Top 93%
Urban Transport and Accessibility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.