Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{192730,
        author = {Dr.P.SARAVANA KUMAR and N.MAHESWARI},
        title = {EXPLORING BUYING BEHAVIOR FOR SUSTAINABLE E-SCOOTERS IN ERODE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {2302-2309},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192730},
        abstract = {E-scooters are electric two-wheelers powered by rechargeable batteries, offering a cost-effective and eco-friendly alternative to petrol scooters. They reduce air pollution, noise, and fuel expenses while providing smooth and convenient urban mobility. Customer buying behaviour towards e-scooters is driven by factors such as low operating cost, environmental benefits, battery performance, charging convenience, and brand image. E-scooters offer low running and maintenance costs which provide a smooth, noise-free ride and reduce dependence on fossil fuels. Despite the growing popularity of e-scooters due to rising fuel costs and environmental concerns, their adoption in Erode remains limited while the customers face issues related to high initial cost, charging infrastructure, battery performance and awareness. In this junction, the study aimed to examine the customer buying behaviour towards e-scooters in Erode, Tamilnadu. A descriptive research design was employed to systematically fulfill the objectives of the study. The required data for this study were collected from both primary and secondary sources. The study population comprised customers using e-scooters in Erode, from whom 152 respondents were selected using the random sampling method. The primary data were gathered through a structured questionnaire containing socio-economic details of the respondents and statements related to their buying behaviour towards e-scooters, measured using a five-point Likert scale. The collected data were coded, tabulated and processed using MS-Excel and analyzed with the help of statistical tools such as percentage analysis, mean, standard deviation, Analysis of Variance (ANOVA) and linear regression analysis through SPSS version 26.0. The null hypotheses were formulated and tested to identify significant differences in customer buying behaviour towards e-scooters across selected independent variables. This study displayed that maximum level of buying behaviour towards e-scooters is perceived by the customers who belong to 31–40 years category, female, using Ola e-scooter, influenced by dealers for purchasing and using e-scooters for above 4 years in the study area.},
        keywords = {E-Scooters, Customer Buying Behaviour, Electric Vehicles, Purchase Decision, Environmental Awareness, Cost Effectiveness, Brand Preference.},
        month = {February},
        }