The Purchasing Behaviour Pattern of College Girls Towards Online and Offline Apparel Marketing
Authors
Assistant Professor, Department of Home Science, Nutrition Food Service Management and Dietetics, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women (India)
Department of Home Science, Nutrition Food Service Management and Dietetics, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women (India)
Department of Home Science, Nutrition Food Service Management and Dietetics, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women (India)
Department of Home Science, Nutrition Food Service Management and Dietetics, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women (India)
Article Information
DOI: 10.51244/IJRSI.2026.1303000183
Subject Category: Marketing
Volume/Issue: 13/3 | Page No: 2161-2166
Publication Timeline
Submitted: 2026-03-22
Accepted: 2026-03-28
Published: 2026-04-13
Abstract
The rapid growth of online platforms like Amazon, Flipkart, Meesho, Ajio significantly transformed the customer purchasing behaviour mainly among the adolescent girls. The increasing usage of smart phones and internet availability, these online shopping has become a major part of everyday life. Which influences the way adolescent girls interact with the apparel market. This survey aims to analyse the purchasing behaviour pattern of college girls towards the online or offline apparel marketing. The keynote of the research is identifying what are all the factors influences the purchasing decisions and comparing preferences between the online and offline shopping mode. Our survey was conducted among 50 college going girls, aged between 18 and 20 years within our college premises. The data was collected using a structured Google form questionnaire, which has the mix of multiple-choice question and Likert scale questions. This questionnaire was set to identify the various influence in factors, such as price, brand preferences, quality, discount, discounts, convenience, social media, influence, pure influence, and policies. The collected data further analysed to understand the preferences patterns and current trends among the adolescent girls. The findings of this research indicate that the consumers tend to purchase towards online apparel shopping compared to the offline method. The key reason for choosing the online shopping includes convenience, a wide selection, good discounts, and easy price comparison, but the shopping in the in store focuses more on trying things and making sure of quality and instant purchases. To conclude this study, we found that the college girls tend towards online site, but Store still plays a supportive role. These results can help marketers come up with the ways to blend both offline and online methods.
Keywords
Purchasing Behaviour, Brand Preferences, Shopping Apps
Downloads
References
1. Archana, P., & Bhojanna, U. (2025). Understanding consumer behavior in the online apparel market: A study on purchase patterns and preferences. Zenodo. [Google Scholar] [Crossref]
2. Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and internet shopping behavior. Communications of the ACM, 43(11), 98–105. [Google Scholar] [Crossref]
3. Chattopadhyay, A. (2013). Consumer shopping behaviour in the new era of retailing. Indian Journal of Marketing, 43(12). [Google Scholar] [Crossref]
4. Gupta, S. (2013). Impact of online shopping on consumer buying behaviour. International Journal of Research in Management, 2(2), 45–50. [Google Scholar] [Crossref]
5. Jain, R., & Kulhar, M. (2019). Barriers to online shopping. International Journal of Emerging Technologies, 10(1), 121–125. [Google Scholar] [Crossref]
6. Jeevanantham, E., & Krishnan, A. (2023). A study on online shopping behavior for apparel: Literature review. European Chemical Bulletin, 12(4), 8951–8956. [Google Scholar] [Crossref]
7. Kim, J., & Lennon, S. J. (2008). The effects of visual and verbal information on attitudes and purchase intentions in online apparel shopping. Psychology & Marketing, 25(2), 146–178. [Google Scholar] [Crossref]
8. Kooti, F., Lerman, K., Aiello, L. M., et al. (2015). Portrait of an online shopper: Understanding and predicting consumer behavior. ACM Conference Proceedings. [Google Scholar] [Crossref]
9. Kotler, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson Education. [Google Scholar] [Crossref]
10. Park, J., Lennon, S. J., & Stoel, L. (2005). Online product presentation: Effects on mood, perceived risk, and purchase intention. Psychology & Marketing, 22(9), 695–719. [Google Scholar] [Crossref]
11. Reddy, R. K. V. (2025). Consumer behavior in online apparel shopping: An analytical study. International Journal of Latest Technology in Engineering Management & Applied Science, 14(4), 1062–1068. [Google Scholar] [Crossref]
12. Singh, K., & Talwar, D. (2024). Antecedents of online impulse buying behaviour in apparel industry. International Journal of Management and Development Studies. [Google Scholar] [Crossref]
13. Solomon, M. R. (2018). Consumer Behavior: Buying, Having, and Being (12th ed.). Pearson. [Google Scholar] [Crossref]
14. Sorce, P., Perotti, V., & Widrick, S. (2005). Attitude and age differences in online buying. International Journal of Retail & Distribution Management, 33(2), 122–132. [Google Scholar] [Crossref]
15. Statista. (2023). Online shopping trends and consumer insights. [Google Scholar] [Crossref]
16. Vashisht, A., & Misra, V. (2019). Consumer behaviour and online shopping adoption. International Journal of Public Sector Performance Management, 5(3/4), 321–335. [Google Scholar] [Crossref]
17. Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing. Journal of Retailing, 91(2), 174–181. [Google Scholar] [Crossref]
18. Vogue Business. (2024). Gen Z shopping habits and retail trends. [Google Scholar] [Crossref]
19. Wang, H. (2024). Peer effects and herd behavior in online shopping. arXiv Preprint. [Google Scholar] [Crossref]
20. Zhu, H., Yang, Z., Ou, C., et al. (2016). Impacts of recommendation agents on impulsive purchase behaviour. Electronic Commerce Research. [Google Scholar] [Crossref]