Changes in Consumer Behavior during the COVID-19 Pandemic: A Comparative Analysis between Polish and Turkish Consumers
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Egera, L.; Komárková, L.; Egerovác, D.; Mičík, M. The effect of COVID-19 on consumer shoing behaviour: Generational cohort perspective. J. Retail. Consum. Serv. 2021, 61, 1. [Google Scholar] [CrossRef] [Scilit]
- Donthu, N.; Gustafsson, A. Effects of COVID-19 on business and research. J. Bus. Res. 2020, 117, 284–289. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Pantano, E.; Pizzi, G.; Scarpi, D.; Dennis, C. Competing during a pandemic? Retailers’ ups and downs during the COVID19 outbreak. J. Bus. Res. 2020, 116, 209–213. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Park, I.; Lee, J.; Lee, D.; Lee, C.; Chung, W.Y. Changes in consumption patterns during the COVID-19 pandemic: Analyzing the revenge spending motivations of different emotional groups. J. Retail. Consum. Serv. 2022, 65, 102874. [Google Scholar] [CrossRef] [Scilit]
- Brooks, S.K.; Webster, R.K.; Smith, L.E.; Woodland, L.; Wessely, S.; Greenberg, N.; Rubin, G.J. The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. Lancet 2020, 395, 912–920. [Google Scholar] [CrossRef] [Scilit]
- Li, S.; Wang, Y.; Xue, J.; Zhao, N.; Zhu, T. The impact of COVID-19 epidemic declaration on psychological consequences: A study on active Weibo users. Int. J. Environ. Res. Public Health 2020, 17, 2032. [Google Scholar] [CrossRef] [Scilit]
- Mahmud, M.S.; Talukder, M.U.; Rahman, S.M. Does ’Fear of COVID-19’ trigger future career anxiety? An empirical investigation considering depression from COVID-19 as a mediator. Int. J. Soc. Psychiatry 2021, 67, 35–45. [Google Scholar] [CrossRef] [Scilit]
- Bender, K.E.; Badiger, A.; Roe, B.; Shu, Y.; Qi, D. Consumer behavior during the COVID-19 pandemic: An analysis of food purchasing and management behaviors in U.S. households through the lens of food system resilience. Socio-Econ. Plan. Sci. 2022, 82, 101107. [Google Scholar] [CrossRef] [Scilit]
- Orden, D. Resilience test of the North American food system. Can. J. Agric. Econ./Rev. Can. D’agroeconomie 2020, 68, 215–217. [Google Scholar] [CrossRef] [Scilit]
- Weersink, A.; von Massow, M.; Bannon, N.; Ifft, J.; Maples, J.; McEwan, K.; McKendree, M.G.S.; Nicholson, C.; Novakovic, A.; Rangarajan, A.; et al. COVID-19 and the agri-food system in the United States and Canada. Agric. Syst. 2021, 188, 103039. [Google Scholar] [CrossRef] [Scilit]
- Das, D.; Sarkar, A.; Debroy, A. Impact of COVID-19 on changing consumer behaviour: Lessons from an emerging economy. Int. J. Consum. Stud. 2022, 46, 692–715. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Truong, D.; Truong, M.D. How do customers change their purchasing behaviors during the COVID-19 pandemic? J. Retail. Consum. Serv. 2022, 67, 102963. [Google Scholar] [CrossRef] [Scilit]
- Sheth, J. Impact of COVID-19 on consumer behavior: Will the old habits return or die? J. Bus. Res. 2020, 117, 280–283. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Howard, J.A.; Jagdish, N.S. The Howard-Sheth Theory of Buyer Behavior; Wiley & Sons: New Delhi, India, 1969. [Google Scholar]
- Sheth, J.; Kellstadt, C.H. Next frontiers of research in data driven marketing: Will techniques keep up with data tsunami? J. Bus. Res. 2021, 125, 780–784. [Google Scholar] [CrossRef] [Scilit]
- Rodrigues, J.F.; dos Santos Filho, M.T.C.; de Oliveira, L.E.A.; Brandemburg Siman, I.; de Fátima Barcelos, A.; de Paiva Anciens Ramos, G.L.; Esmerino, E.A.; da Cruz, A.G.; Arriel, R.A. Effect of the COVID-19 pandemic on food habits and perceptions: A study with Brazilians. Trends Food Sci. Technol. 2021, 116, 992–1001. [Google Scholar] [CrossRef] [Scilit]
- Huterska, A.; Piotrowska, A.I.; Szalacha-Jarmuzek, J. Fear of the COVID-19 Pandemic and Social Distancing as Factors Determining the Change in Consumer Payment Behavior at Retail and Service Outlets. Energies 2021, 14, 4191. [Google Scholar] [CrossRef] [Scilit]
- Kirk, C.P.; Rifkin, L.S. I’ll trade you diamonds for toilet paper: Consumer reacting, coping and adapting behaviors in the COVID-19 pandemic. J. Bus. Res. 2020, 117, 124–131. [Google Scholar] [CrossRef] [Scilit]
- Taparia, H. How COVID-19 is making millions of Americans Healthier. New York Times. 2020. Available online: https://www.nytimes.com/2020/04/18/opinion/covid-cooking-health.html (accessed on 1 July 2022).
- School during the Pandemic: Mental Health Impacts on Students. Available online: https://namica.org/blog/impact-on-the-mental-health-of-students-during-covid-19/ (accessed on 5 July 2022).
- Kuhfeld, M.; Soland, J.; Lewis, K.; Morton, E. The Pandemic Has Had Devastating Impacts on Learning. What Will It Take to Help Students Catch Up? Brookings. Available online: https://www.brookings.edu/blog/brown-center-chalkboard/2022/03/03/the-pandemic-has-had-devastating-impacts-on-learning-what-will-it-take-to-help-students-catch-up/ (accessed on 23 July 2022).
- Gadi, N.; Saleh, S.; Johnson, J.A.; Trinidade, A. The impact of the COVID-19 pandemic on the lifestyle and behaviours, mental health and education of students studying healthcare-related courses at a British University. BMC Med. Educ. 2022, 22, 115. [Google Scholar] [CrossRef] [Scilit]
- Zabłocka-Żytka, L. Mental health of university students during the pandemic. Threats to their mental health and proposals for university student suort in Poland. Adv. Psychiatry Neurol. 2022, 31, 95–101. [Google Scholar] [CrossRef]
- Przyborowska, B.; Błajet, P. Changing the Health Behaviour of Students during the COVID-19 Pandemic in Poland. Educ. Stud. Rev. 2021, 35, 97–113. [Google Scholar] [CrossRef] [Scilit]
- Tao, H.; Sun, X.; Liu, X.; Tian, J.; Zhang, D. The Impact of Consumer Purchase Behavior Changes on the Business Model Design of Consumer Services Companies over the Course of COVID-19. Front. Psychol. 2022, 13, 818845. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Payne, S. How to Adapt Your Business to Changes in Consumer Behavior from COVID-19. 2020. Available online: https://boldist.co/marketing-strategy/covid-19-consumer-changes (accessed on 15 July 2022).
- Wright, K. COVID-19 is Changing Consumer Behavior Worldwide; Business Needs to Adapt Rapidly. 2020. Available online: https://home.kpmg/xx/en/home/media/press-releases/2020/11/businesses-need-to-adapt-to-changing-consumer-behavior.html (accessed on 10 May 2020).
- Calkins, T. COVID Has Forever Changed the Customer Experience Here’s How Companies Can Continue to Adapt. 2021. Available online: https://insight.kellogg.northwestern.edu/article/customer-experience-covid-innovation (accessed on 10 May 2021).
- Gürsoy, S. Investigation of the Effect of Coronovirus on Financial Markets in Terms of Regional Proximity: An Ampiric Alication. J. Soc. Sci. Inst. 2020, 359–378. Available online: https://dergipark.org.tr/en/download/article-file/1210656 (accessed on 1 July 2022).
- Altunay, A.S.; Bahçecitapar, M.; Poslu, M. Homogeneous Uniform Association Model for the Effects of Countries’ Democratic Measures on the COVID-19 Pandemic. BSEU J. Sci. BŞEÜ 2021, 8, 356–368. [Google Scholar] [CrossRef] [Scilit]
- Aslan, E.C. Evaluation of the Impact of the COVID-19 Pandemic on Health Services Access: A Cross-Sectional Study. Turk. Klin. J. Health Sci. 2022, 7, 534–543. [Google Scholar] [CrossRef] [Scilit]
- Erasmus+ Students Mobilities. Available online: https://erasmusplus.org.pl (accessed on 11 July 2022).
- Barska, A.; Wojciechowska-Solis, J. E-Consumers and Local Food Products: A Perspective for Developing Online Shoing for Local Goods in Poland. Sustainability 2020, 12, 4958. [Google Scholar] [CrossRef] [Scilit]
- Rossolov, A.; Aloshynskyi, Y.; Lobashov, O. How COVID-19 Has Influenced the Purchase Patterns of Young Adults in Developed and Developing Economies: Factor Analysis of Shoing Behavior Roots. Sustainability 2022, 14, 941. [Google Scholar] [CrossRef] [Scilit]
- Theriot, A.; Urrutia-Alvarez, N.; McKinley, E. An Analysis of Pandemic Panic Buying Motivators among Undergraduate College Students Using Mind Genomics Cognitive Science. Psychology 2021, 12, 1457–1471. [Google Scholar] [CrossRef]
| Turkey | Poland | All Participants | ||||
|---|---|---|---|---|---|---|
| Gender | N | % | N | % | N | % |
| Female | 85 | 56.7 | 98 | 65.3 | 183 | 61.0 |
| Male | 65 | 43.3 | 52 | 34.7 | 117 | 39.0 |
| Total | 150 | 100.0 | 150 | 100.0 | 300 | 100.0 |
| Age | N | % | N | % | N | % |
| 18–20 | 62 | 41.3 | 67 | 44.7 | 129 | 43.0 |
| 21–23 | 35 | 23.3 | 46 | 30.7 | 81 | 27.0 |
| 24–26 | 11 | 7.3 | 22 | 14.7 | 33 | 11.0 |
| 26+ | 42 | 28.0 | 15 | 10.0 | 57 | 19.0 |
| Monthly Expenses * | N | % | N | % | N | % |
| Between PLN 500 and 1000 | 11 | 7.3 | 67 | 44.7 | 78 | 26.0 |
| Between PLN 1000 and 1500 | 40 | 26.7 | 47 | 31.3 | 87 | 29.0 |
| Between PLN 1500 and 2000 | 40 | 26.7 | 15 | 10.0 | 55 | 18.3 |
| PLN 2000 and Above | 59 | 39.3 | 21 | 14.0 | 80 | 26.7 |
| Accommodation | N | % | N | % | N | % |
| Student Apartment | 12 | 8.0 | 29 | 19.3 | 41 | 13.7 |
| Private Dormitory | 15 | 10.0 | 0 | 0 | 15 | 5.0 |
| State Dormitory | 51 | 34.0 | 23 | 15.3 | 74 | 24.7 |
| With Family | 34 | 22.7 | 98 | 65.3 | 132 | 44.0 |
| Student House | 38 | 25.3 | 0 | 0 | 38 | 12.7 |
| Field of Study | N | % | N | % | N | % |
| Social Sciences | 59 | 39.3 | 116 | 77.4 | 175 | 58.4 |
| Science | 41 | 27.3 | 17 | 11.3 | 58 | 19.3 |
| Health Sciences | 8 | 5.4 | 5 | 3.3 | 13 | 4.3 |
| Other | 42 | 28.0 | 12 | 8 | 54 | 18 |
| Year of study | N | % | N | % | N | % |
| Year 1 | 21 | 14.0 | 27 | 18.0 | 48 | 16.0 |
| Year 2 | 43 | 28.7 | 37 | 24.7 | 80 | 26.7 |
| Year 3 | 33 | 22.0 | 45 | 30.0 | 78 | 26.0 |
| Year 4 | 53 | 35.3 | 41 | 27.3 | 94 | 31.3 |
| Total | 150 | 100.0 | 150 | 100.0 | 300 | 100.0 |
| Turkey | Poland | All Participants | ||||
|---|---|---|---|---|---|---|
| Which product group have you purchased the most during the pandemic? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100 | |
| Technology | 17 | 11.3 | 23 | 15.3 | 40 | 13.3 |
| Food | 101 | 67.3 | 98 | 65.3 | 199 | 66.3 |
| Health | 8 | 5.3 | 18 | 12.0 | 26 | 8.7 |
| Education | 8 | 5.3 | 4 | 2.7 | 12 | 4.0 |
| Other | 16 | 10.7 | 7 | 4.7 | 23 | 7.7 |
| Pearson Chi-Square | Value: 16.325 | Df: 5 | Asym. Sig.: 0.294 | |||
| Have you changed your purchasing habits during the pandemic? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100.0 | |
| Yes, I have | 124 | 82.7 | 60 | 40.0 | 184 | 61.3 |
| No change | 26 | 17.3 | 90 | 60.0 | 116 | 38.7 |
| Pearson Chi-Square | Value: 57.571 | Df: 1 | Asym. Sig.: 0.000 | |||
| Which distribution channels have you used to buy products during the pandemic? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100.0 | |
| Online Shopping | 60 | 40.0 | 25 | 16.7 | 85 | 28.3 |
| Physical Shopping | 20 | 13.3 | 79 | 51.3 | 99 | 33.0 |
| Both | 70 | 46.7 | 46 | 32.0 | 116 | 38.7 |
| Pearson Chi-Square | Value: 54.539 | Df: 2 | Asym. Sig.: 0.000 | |||
| How often have you shopped online during the pandemic compared to the past? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100.0 | |
| Less | 12 | 8.0 | 21 | 14.0 | 33 | 11.0 |
| Same | 26 | 17.3 | 58 | 38.7 | 84 | 28.0 |
| To a greater extent | 112 | 74.7 | 71 | 47.3 | 183 | 61.0 |
| Pearson Chi-Square | Value: 23.831 | Df: 2 | Asym. Sig.: 0.000 | |||
| Have there been any products or services that you gave up on buying during the pandemic? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100.0 | |
| Yes | 114 | 76.0 | 46 | 30.7 | 160 | 53.3 |
| No | 36 | 24.0 | 104 | 69.3 | 140 | 46.7 |
| Pearson Chi-Square | Value: 61.929 | Df: 1 | Asym. Sig.: 0.000 | |||
| Have there been any changes in your education spending during the pandemic? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100.0 | |
| Yes | 119 | 79.33 | 66 | 44.0 | 185 | 61.7 |
| No | 31 | 20.7 | 84 | 56.0 | 115 | 38.3 |
| Pearson Chi-Square | Value: 39.610 | Df: 1 | Asym. Sig.: 0.000 | |||
| Have your entertainment spending changed during the pandemic? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100.0 | |
| Yes | 132 | 88.0 | 89 | 59.3 | 221 | 73.7 |
| No | 18 | 12.0 | 61 | 40.7 | 79 | 26.3 |
| Pearson Chi-Square | Value: 31.772 | Df: 1 | Asym. Sig.: 0.000 | |||
| Turkey | Poland | All Participants | ||||
|---|---|---|---|---|---|---|
| Have you made panic purchases during the pandemic? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100.0 | |
| Yes | 77 | 51.3 | 39 | 26.0 | 116 | 38.7 |
| No | 73 | 48.7 | 111 | 74.0 | 184 | 61.3 |
| Pearson Chi-Square | Value: 20.296 | Df: 1 | Asym. Sig.: 0.00 | |||
| Have you stockpiled food during the pandemic? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100 | |
| Yes | 82 | 54.7 | 49 | 32.7 | 131 | 43.7 |
| No | 68 | 45.3 | 101 | 67.3 | 169 | 56.3 |
| Pearson Chi-Square | Value: 14.757 | Df: 1 | Asym. Sig.: 0.000 | |||
| Have you ever worried about losing your source of income during the pandemic? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100.0 | |
| Yes | 120 | 80.0 | 52 | 34.7 | 172 | 57.3 |
| No | 30 | 20.0 | 98 | 65.3 | 128 | 42.7 |
| Pearson Chi-Square | Value: 63.009 | Df: 1 | Asym. Sig.: 0.000 | |||
| Turkey | Poland | All Particpants | ||||
|---|---|---|---|---|---|---|
| Have you had problems supplying the products you purchased during the pandemic? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100 | |
| Yes. I had problems | 99 | 66.0 | 43 | 28.7 | 142 | 47.3 |
| No. I didn’t have any problems | 51 | 34.0 | 107 | 71.3 | 158 | 52.7 |
| Pearson Chi-Square | Value: 41.933 | Df: 1 | Asym. Sig.: 0.000 | |||
| Have you experienced delays in the delivery of the products you ordered during the pandemic? | N | % | N | % | N | % |
| 150 | 100.0 | 150 | 100.0 | 300 | 100 | |
| Yes | 113 | 75.3 | 56 | 37.3 | 169 | 56.3 |
| No | 37 | 24.7 | 94 | 62.7 | 131 | 43.7 |
| Pearson Chi-Square | Value: 44.026 | Df: 1 | Asym. Sig.: 0.000 | |||
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Bareja-Wawryszuk, O.; Pajewski, T.; Çakaröz, K.M.; Kavas, B. Changes in Consumer Behavior during the COVID-19 Pandemic: A Comparative Analysis between Polish and Turkish Consumers. Sustainability 2022, 14, 10276. https://doi.org/10.3390/su141610276
Bareja-Wawryszuk O, Pajewski T, Çakaröz KM, Kavas B. Changes in Consumer Behavior during the COVID-19 Pandemic: A Comparative Analysis between Polish and Turkish Consumers. Sustainability. 2022; 14(16):10276. https://doi.org/10.3390/su141610276
Chicago/Turabian StyleBareja-Wawryszuk, Ola, Tomasz Pajewski, Kübra Müge Çakaröz, and Baki Kavas. 2022. "Changes in Consumer Behavior during the COVID-19 Pandemic: A Comparative Analysis between Polish and Turkish Consumers" Sustainability 14, no. 16: 10276. https://doi.org/10.3390/su141610276
APA StyleBareja-Wawryszuk, O., Pajewski, T., Çakaröz, K. M., & Kavas, B. (2022). Changes in Consumer Behavior during the COVID-19 Pandemic: A Comparative Analysis between Polish and Turkish Consumers. Sustainability, 14(16), 10276. https://doi.org/10.3390/su141610276

