The Impact of the COVID-19 Outbreak on Customer Purchasing Behavior in the E-commerce Sector Project

Artun Pınar, Onur Halit Yenice, Tuncay Özcan, Aziz Kemal Konyalıoğlu*, Tuğçe Beldek Apaydın

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

E-commerce is a rapidly growing sector that has become increasingly important in recent years. The COVID-19 pandemic has had a significant impact on the e-commerce sector, with a surge in online shopping as people were forced to stay home. In Turkey, the e-commerce market grew by 18% in 2019 and is expected to continue to grow in the coming years. The pandemic has led to an increase in demand for certain products, such as sports equipment, shavers, and food delivery services. E-commerce has become more popular due to its convenience, variety of products, and contactless payment options. The Turkish government has also taken steps to promote e-commerce, such as providing tax breaks for businesses that sell online. Thus, we aim to analyse the Impact of the COVID-19 Outbreak on Customer Purchasing Behavior by using clustering and classification algorithms in Turkish e-commerce sector. This study will provide an insight about how the pandemic affects the sales and the behaviour of e-commerce sector patterns in Turkey.

Original languageEnglish
Title of host publicationIndustrial Engineering in the Industry 4.0 Era - Selected Papers from ISPR2023
EditorsNuman M. Durakbasa, M. Güneş Gençyılmaz
PublisherSpringer Science and Business Media Deutschland GmbH
Pages16-29
Number of pages14
ISBN (Print)9783031539909
DOIs
Publication statusPublished - 2024
EventInternational Symposium for Production Research, ISPR 2023 - Antalya, Turkey
Duration: 5 Oct 20237 Oct 2023

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

ConferenceInternational Symposium for Production Research, ISPR 2023
Country/TerritoryTurkey
CityAntalya
Period5/10/237/10/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Clustering
  • Customer Purchasing Behavior
  • E-commerce
  • K-means
  • Pandemic Outbreak
  • RFM

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