T.N.D.S. Ginige
ABSTRACT
With the busy lives, people feel uncomfortable and have less time to go to a shop and buy things nowadays. E-Shopping is rapidly growing during the last decade simply because people are able to purchase items from these online platforms 24x7. Online shopping is a process where consumers buy goods and services from a shop or a seller over the internet. Popular websites like AlieExpress, eBay are good examples of that. Presently this Online-shopping concept is also very popular in Sri Lanka. In this research, the authors mainly concentrate on the Sri Lankan Online Clothing stores and try to examine the online consumers buying behavior based on ethnicity. The authors chose Sri Lanka since Sri Lanka is a multi-ethnic country. There are mainly four ethnicities live in Sri Lanka. They are Sinhalese, Tamils, Muslims, and Burghers. For this research mainly Sinhalese and Tamils, the two main ethnicities are considered. In this research, the study authors analyze the buying behavior of those two ethnicities such as cloth types, favorite colors in online clothing shopping platforms. Moreover, in this research, authors implement classification models that can predict the cloth type and the color of the clothes based on consumers' ethnicities. The main benefit of this research would go to Sri Lankan online sellers. They would be able to get a clear understanding of the buying behaviors and the expectations of the consumers based on their ethnicities. Moreover, from this, sellers could improve their sales and online shopping users can get an attractive and good online shopping experience.
- UKEssays, "Introduction Of Online Shopping Marketing Essay," UKEssays, 09 2018. [Online]. Available: https://www.ukessays.com/essays/marketing/introduction-of-online-shopping-marketing-essay.php#citethis. [Accessed 1 11 2020].Google Scholar
- J. Milenkovic, "How Many eCommerce Sites Are There in 2020," 13 02 2020. [Online]. Available: https://kommandotech.com/statistics/how-many-ecommerce-sites-are-there/#:∼:text=there%20in%202020%3F-,If%20you're%20wondering%20how%20many%20eCommerce%20sites%20are%20there,are%20new%20ones%20being%20created..[Accessed 1 11 2020].Google Scholar
- C. Fontanella, "A Beginner's Guide to Customer Behavior Analysis," 12 02 2020. [Online]. Available: https://blog.hubspot.com/service/customer-behavior-analysis. [Accessed 07 11 2020].Google Scholar
- Meg', "Consumer behavior in marketing," 25 02 2020. [Online]. Available: https://www.talkwalker.com/blog/consumer-behavior-in-marketing. [Accessed 07 11 2020].Google Scholar
- X. &. G. Y. &. H. Y. &. J. H. &. W. Y. &. L. X. Zhao, "We know what you want to buy: A demographic-based system for product recommendation on microblogs," in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014.Google Scholar
- Daily News, "SL e-commerce to hit US$ 400 mn by 2022," 07 09 2018.Google Scholar
- Daily News, "‘Sri Lanka's e-commerce segment records 34% growth’," 26 09 2018.Google Scholar
- T. Roar, "Three Reasons Why eCommerce Is The Future Of Fashion In Sri Lanka," 15 02 2018. [Online]. Available: https://roar.media/english/life/sponsored/three-reasons-why-ecommerce-is-the-future-of-fashion-in-sri-lanka. [Accessed 08 11 2020].Google Scholar
- J. V. Intharacks, "The Influence of Ethnicity on Consumer Behaviour:," School of Business University of Sydney , Sydney, 2016.Google Scholar
- J. H. A. Fairhurst, "Understanding consumers' purchasing behavior of ethnically disparate products," Special Issue: Global Challenges for Food Product Marketing and Sustainability, vol. 17, no. 1, pp. 114-126, 2017.Google Scholar
- K. K. H. Y. Yasin, "Same Country, Different Ethnicity: The Role of Ethnicity on Impulse Buying," Thriving in a New World Economy, pp. 272-27, 2016.Google Scholar
- M. B. N. &. G. Elliott, "Role of demographics, social connectedness and prior internet experience in adoption of online shopping: Applications for direct marketing," Journal of Targeting, Measurement and Analysis for Marketing, vol. 19, p. pages69–84, 2011.Google ScholarCross Ref
- Y. G. H. J. W. L. Xin Wayne Zhao, "We know what you want to buy: a demographic-based system for product recommendation on microblogs," KDD '14: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, p. 1935–1944, August 2014 .Google Scholar
- J. C. ALVA LIU, "Using Demographic Information to Reduce the New User Problem in Reccoemdation systems," KTH ROYAL INSTITUTE OF TECHNOLOGY, SCHOOL OF COMPUTER SCIENCE AND COMMUNICATION, 2017.Google Scholar
- E. &. P. S. &. G. M. Safari, "A New Model for Predicting the Probability of Product Return in Online Shopping.," in Journal of Soft Computing and Decision Support Systems, 2020.Google Scholar
- M. Giering, "Retail sales prediction and item recommendations using customer demographics at store level," ACM SIGKDD Explorations Newsletter, vol. 10, 2018.Google Scholar
- S. NGUYEN, "Sri Lankan Traditional Dress & Costume," 27 04 2019. [Online]. Available: https://www.srilankalocaltours.com/sri-lankan traditional-dress-costume/. [Accessed 22 11 2020]Google Scholar
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