Advances in Consumer Research
Issue 2 : 1321-1338
Original Article
Design Of Framework Based on Factors Influencing Online Shopping Behaviour: Insights into Consumer Preferences, Trust, And Digital Adoption
 ,
1
Research Scholar, St. Joseph’s College of Arts and Science (Autonomous), Cuddalore-1. Affiliated to Annamalai University, Cuddalore, Tamilnadu-607001, India.
2
Associate Professor, PG and Research Department of Commerce. St. Joseph’s College of Arts and Science (Autonomous), Cuddalore-1. Affiliated to Annamalai University, Cuddalore, Tamilnadu-607001, India.
Abstract

The rise of digital commerce has significantly influenced consumer shopping behaviour, with online platforms becoming a preferred mode of purchase. This study examines the factors shaping online shopping behaviour among consumers in Cuddalore District, Tamil Nadu. The research analyses key determinants such as demographics, pricing sensitivity, trust, convenience, product variety, and digital advertising influence. A structured questionnaire was used to collect data from 399 respondents, and statistical techniques, including descriptive analysis, factor analysis, and machine learning-based consumer segmentation, were employed for evaluation. The findings indicate that price sensitivity, convenience, and trust are the primary factors driving or hindering online shopping. The study further highlights the importance of secure payment gateways, transparent pricing, and personalized marketing to enhance consumer confidence. Based on the insights, recommendations are provided to improve digital accessibility, logistical efficiency, and e-commerce adoption in semi-urban areas.

 

Keywords
Recommended Articles
Original Article
Metaemotions and Consumer Decision Making in Petcare : A Meta-Care Framework for Human Centred Conversational AI
Original Article
Emerging Trends in Graph-Based Network Science: A Critical Review of Algorithms, Artificial Intelligence and Complex Network Applications
Original Article
Generative AI Adoption under Academic Stress: Examining Psychological Well-Being among PGDM Students in Bangalore
Original Article
Mapping the Evolution of Stock Market Prediction Research Using Artificial Intelligence and Machine Learning: A Bibliometric and Systematic Review (2020–2026)
...
Loading Image...
Volume 3, Issue 2
Citations
784 Views
595 Downloads
Share this article
© Copyright Advances in Consumer Research