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Changes in shopping habits during COVID-19

Author

Listed:
  • Eda Helin Gündeş

    (Sabanci University)

  • Füsun Ülengin

    (Sabanci University)

  • Burç Ülengin

    (Istanbul Technical University)

  • Ömer Zeybek

    (Migros Ticaret AŞ. R&D Department, Innovative Data Analytics and Ad-Hoc Research)

Abstract

By the start of 2020, the daily and business world had to undergo a radical change with the widespread pandemic known as COVID-19. Many people had to replace their everyday purchase medium to meet the enforced restrictions, and local businesses had to adjust their operations to accommodate the negative impacts brought upon by the disease’s rapid spread. Groceries and FMCG sub-sectors of the retail industry were forced to adapt to consumers’ stockpiling and panic-buying behaviors. We studied the impact of similar purchase attitudes for various product groups during the COVID-19 and probed the differences between sales of online and physical markets. Initially, a cluster analysis identifies which product groups were affected by similar shopping behaviors during the pandemic. Subsequently, the impact of the number of COVID cases on sales levels was measured using stepwise, lasso, and the best subset models. All the models were applied to both physical and online market datasets. The results showed a significant shift from the physical to the online markets during the pandemic. These findings can provide an essential guideline to retail managers in adapting to the new world.

Suggested Citation

  • Eda Helin Gündeş & Füsun Ülengin & Burç Ülengin & Ömer Zeybek, 2023. "Changes in shopping habits during COVID-19," SN Business & Economics, Springer, vol. 3(3), pages 1-24, March.
    • Handle: RePEc:spr:snbeco:v:3:y:2023:i:3:d:10.1007_s43546-023-00453-0
    DOI: 10.1007/s43546-023-00453-0
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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Lars Jonung & Werner Roeger, 2006. "The macroeconomic effects of a pandemic in Europe - A model-based assessment," European Economy - Economic Papers 2008 - 2015 251, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. Villanova, Daniel & Bodapati, Anand V. & Puccinelli, Nancy M. & Tsiros, Michael & Goodstein, Ronald C. & Kushwaha, Tarun & Suri, Rajneesh & Ho, Henry & Brandon, Renee & Hatfield, Cheryl, 2021. "Retailer Marketing Communications in the Digital Age: Getting the Right Message to the Right Shopper at the Right Time," Journal of Retailing, Elsevier, vol. 97(1), pages 116-132.
    4. Friedman, Jerome H. & Hastie, Trevor & Tibshirani, Rob, 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i01).
    5. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
    6. Truong, Dothang & Truong, My D., 2022. "How do customers change their purchasing behaviors during the COVID-19 pandemic?," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    7. Maria Petrescu & Anjala S. Krishen, 2020. "The importance of high-quality data and analytics during the pandemic," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(2), pages 43-44, June.
    8. Islam, Tahir & Pitafi, Abdul Hameed & Arya, Vikas & Wang, Ying & Akhtar, Naeem & Mubarik, Shujaat & Xiaobei, Liang, 2021. "Panic buying in the COVID-19 pandemic: A multi-country examination," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    9. Chen, Yiqun & Rajabifard, Abbas & Sabri, Soheil & Xie, Yuke & Zhang, Yibo, 2020. "A discussion of irrational stockpiling behaviour during crisis," SocArXiv udzah, Center for Open Science.
    10. Marcus R. Keogh‐Brown & Simon Wren‐Lewis & W. John Edmunds & Philippe Beutels & Richard D. Smith, 2010. "The possible macroeconomic impact on the UK of an influenza pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 19(11), pages 1345-1360, November.
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