Emerging Trends in E-Commerce: An In-depth Analysis with Reference to New Panvel Area
Abstract The e-commerce market for online shopping in India has witnessed phenomenal growth, as its influence has extended beyond the urban cities to the semi-urban regions such as Panvel. This research study aims to explore e-commerce trends of the future in Panvel, mapping consumer behavior, buying patterns, and digitalization. With improved internet connectivity, low-cost availability of smartphones, and the advent of safe digital payments, internet shopping is now an option of preference among local consumers. Though this growth is on the upswing, concerns regarding delays in logistics, product quality issues, and trust in online transactions persist and undermine consumer confidence. Primary data was gathered in this study through 100 respondents' questionnaires, providing vivid information about the domestic online shopping market. Findings reveal that online shopping based on mobile phones is prevalent, and websites such as Amazon and Flipkart are most sought after for online shopping. Convenience, discounts, and extensive variety are cited by customers as key drivers of online shopping, whereas delivery timing and refunds are key inhibitors. Online payments, especially UPI payments, are gaining universal popularity, but still, there exists a vast chunk of consumers who are hesitant and go for Cash on Delivery (COD) based on faith and security issues. The research points out the importance of enhanced logistics, quality control processes, and customer services in order to bring confidence and foster increased e-commerce usage. Through the documentation of local shopping habits and consumer problems, firms can adapt their strategy to better serve the online shopper in Panvel. The research adds to the body of literature on the development of e-commerce in semi-urban regions, presenting actionable insights for firms, policy makers, and online trading platforms to enhance service quality and customer experience.
Institutions
- Department of Commerce (AU)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-28
- DOI
- https://doi.org/10.5281/zenodo.15286986
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00