[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3471287.3471291acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicisdmConference Proceedingsconference-collections
research-article

Ethnicity Based Consumer Buying Behavior Analysis and Prediction on Online Clothing Platforms in Sri Lanka

Published: 25 September 2021 Publication History

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.

References

[1]
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].
[2]
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].
[3]
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].
[4]
Meg', "Consumer behavior in marketing," 25 02 2020. [Online]. Available: https://www.talkwalker.com/blog/consumer-behavior-in-marketing. [Accessed 07 11 2020].
[5]
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.
[6]
Daily News, "SL e-commerce to hit US$ 400 mn by 2022," 07 09 2018.
[7]
Daily News, "‘Sri Lanka's e-commerce segment records 34% growth’," 26 09 2018.
[8]
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].
[9]
J. V. Intharacks, "The Influence of Ethnicity on Consumer Behaviour:," School of Business University of Sydney, Sydney, 2016.
[10]
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.
[11]
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.
[12]
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.
[13]
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 .
[14]
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.
[15]
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.
[16]
M. Giering, "Retail sales prediction and item recommendations using customer demographics at store level," ACM SIGKDD Explorations Newsletter, vol. 10, 2018.
[17]
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]

Cited By

View all
  • (2023)Classifying Ethnicity of the Pedestrian Using Skin Colour PaletteAdvances in Intelligent Manufacturing and Mechatronics10.1007/978-981-19-8703-8_9(105-116)Online publication date: 22-Mar-2023

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
ICISDM '21: Proceedings of the 2021 5th International Conference on Information System and Data Mining
May 2021
162 pages
ISBN:9781450389549
DOI:10.1145/3471287
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 September 2021

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Big data
  2. Buying behavior
  3. Classification
  4. Data Science
  5. Social Science

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

ICISDM 2021

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)17
  • Downloads (Last 6 weeks)0
Reflects downloads up to 14 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2023)Classifying Ethnicity of the Pedestrian Using Skin Colour PaletteAdvances in Intelligent Manufacturing and Mechatronics10.1007/978-981-19-8703-8_9(105-116)Online publication date: 22-Mar-2023

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media