How does brand equity influence the intent of e-bike users? Evidence from Chennai city
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.67Keywords:
Perceived Quality, brand value, consumer intention, brand association, loyalty, and brand awareness.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
E-bikes, a rapidly developing hybrid technology, threaten the notion of leisurely, non-motorized riding. This empirical study aims to determine the connection between brand equity, brand value, and electric bike purchase intention in Chennai. The descriptive research strategy was employed to collect the data from 151 respondents via questionnaire using judgment sampling, and hypotheses were tested using multiple regression. The consequences showed that the coefficient for brand loyalty was 0.643, and a one-unit increase in brand loyalty resulted in a 0.643% increase in purchase intent. The study’s results help managers better understand how to create a post-brand equity marketing strategy for long-term success in the market. An improved understanding of brand equity’s effects would help the auto industry gain consumer loyalty and enable long-term partnershipsAbstract
How to Cite
Downloads
Similar Articles
- Sony Kumari, Prashant Kumar, HYDROBIOLOGY AND PHYTOPLANKTON POPULATION IN CERTAIN PONDS OF NORTH BIHAR , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Roop Kanwal, Children’s literature as a tool for social change: Teaching values and social awareness , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Kumbhlesh Kamal Rana, Rajesh Rayal, K.P. Chamoli, Pankaj Bahuguna, Pratibha Baluni, The Riparian Vegetation has Effects on the Faunal Diversity , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- V. Baby Deepa, R. Jeya, Dynamic resource allocation with otpimization techniques for qos in cloud computing , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Krutuja S. Gadgil, Prabodh Khampariya, Shashikant M. Bakre, Investigation of power quality problems and harmonic exclusion in the power system using frequency estimation techniques , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Kanthalakshmi S, Nikitha M. S, Pradeepa G, Classification of weld defects using machine vision using convolutional neural network , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Shelly Nanda, Manjit Singh, MICOM analysis of gender differences in Parasocial Interaction and Impulse Buying Behavior , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Parwez Ahmad, Md Jamaluddin, Estimation of Some Heavy Metal Estimation at Sites of Saryug River as Lateral Tributary of the Ganga in Northern Bihar , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Damtew Girma, Addisalem Mebratu, Fresew Belete, Response of potato (Solanum tuberosum L.) varieties to blended NPSB fertilizer rates on tuber yield and quality parameters in Gummer district, Southern Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Harsha, Alwin S. Kumar, Srihari Jwalapuram, Sravan Kumar, Marketing strategies in the pharmaceutical industry , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 3 4 5 6 7 8 9 10 11 12 > >>
You may also start an advanced similarity search for this article.