Consumer Panic Buying in the COVID-19 Pandemic Era

Authors

  • Dicky Wisnu Riyanto Universitas Muhammadiyah Malang
  • Viajeng Purnama Putri

DOI:

https://doi.org/10.22219/mb.v11i2.19502

Keywords:

consumer competition, Online Shop, scarcity promotion, impulse purchase,

Abstract

This study is to examine the effect of the relationship between scarcity promotion, consumer competition, on impulse purchases. Data were collected using a questionnaire, a sample of 100 respondents was taken based on purposive sampling. Data analysis using Partial Least Square (PLS), this path analysis technique will be used in testing the magnitude of the contribution shown by the path coefficients on each path diagram of the causal relationship between SP, KK, and IP variables. The findings reveal that scarcity promotion, consumer competition, affects impulse purchases positively and significantly. Consumer competition mediates the relationship between scarcity promotion and impulse purchase. The better the scarcity promotion, the higher the consumer's impulse purchase.

Downloads

Download data is not yet available.

References

Alexa, L., Apetrei, A., & Sapena, J. (2021). The covid-19 lockdown effect on the intention to purchase sustainable brands. Sustainability (Switzerland), 13(6). https://doi.org/10.3390/su13063241

Ballantine, P. W., Zafar, S., & Parsons, A. G. (2014). Changes in retail shopping behaviour in the aftermath of an earthquake. International Review of Retail, Distribution and Consumer Research, 24(1), 1–13. https://doi.org/10.1080/09593969.2013.821419

Barnes, S. J., Diaz, M., & Arnaboldi, M. (2021). Understanding panic buying during COVID-19: A text analytics approach. Expert Systems with Applications, 169. https://doi.org/10.1016/j.eswa.2020.114360

Bish, A., & Michie, S. (2010). Demographic and attitudinal determinants of protective behaviours during a pandemic: A review. British Journal of Health Psychology, 15(4), 797–824. https://doi.org/10.1348/135910710X485826

Chen, A. (2020). Two efficient Galerkin finite element methods for the modified anomalous subdiffusion equation. International Journal of Computer Mathematics. https://doi.org/10.1080/00207160.2020.1849636

Ching, A. T., & Osborne, M. (2020). Identification and estimation of forward-looking behavior: The case of consumer stockpiling. Marketing Science, 39(4), 707–726. https://doi.org/10.1287/mksc.2019.1193

Chua, G., Yuen, K. F., Wang, X., & Wong, Y. D. (2021). The determinants of panic buying during COVID-19. International Journal of Environmental Research and Public Health, 18(6), 1–28. https://doi.org/10.3390/ijerph18063247

Danziger, P. N. (2020). After panic buying subsides, will coronavirus make lasting changed to consumer psychology. March.

Drury, J. (2018). The role of social identity processes in mass emergency behaviour: An integrative review. European Review of Social Psychology, 29(1), 38–81. https://doi.org/10.1080/10463283.2018.1471948

Frank, B., & Schvaneveldt, S. J. (2016). Understanding consumer reactions to product contamination risks after national disasters: The roles of knowledge, experience, and information sources. Journal of Retailing and Consumer Services, 28, 199–208. https://doi.org/10.1016/j.jretconser.2015.08.005

Gupta, S., & Gentry, J. W. (2019). ‘Should I Buy, Hoard, or Hide?’- Consumers’ responses to perceived scarcity. International Review of Retail, Distribution and Consumer Research, 29(2), 178–197. https://doi.org/10.1080/09593969.2018.1562955

Hall, M. C., Prayag, G., Fieger, P., & Dyason, D. (2020). Beyond panic buying: consumption displacement and COVID-19. Journal of Service Management, 32(1), 113–128. https://doi.org/10.1108/JOSM-05-2020-0151

Hutjens, M. (2014). The influence of fear on the buying behaviour of consumers in case of an animal disease outbreak. Journal of Marketing and Consumer Behaviour - Wageningen University.

Islam, T., Pitafi, A. H., Arya, V., Wang, Y., Akhtar, N., Mubarik, S., & Xiaobei, L. (2021). Panic buying in the COVID-19 pandemic: A multi-country examination. Journal of Retailing and Consumer Services, 59. https://doi.org/10.1016/j.jretconser.2020.102357

Kang, S. H., & Skidmore, M. (2018). The effects of natural disasters on social trust: Evidence from South Korea. Sustainability (Switzerland), 10(9), 1–16. https://doi.org/10.3390/su10092973

Kaur, A., & Malik, G. (2020). Understanding the Psychology Behind Panic Buying: A Grounded Theory Approach. Global Business Review. https://doi.org/10.1177/0972150920973504

Keane, M., & Neal, T. (2021). Consumer panic in the COVID-19 pandemic. Journal of Econometrics, 220(1), 86–105. https://doi.org/10.1016/j.jeconom.2020.07.045

Koles, B., Wells, V., & Tadajewski, M. (2018). Compensatory consumption and consumer compromises: a state-of-the-art review. Journal of Marketing Management, 34(1–2), 96–133. https://doi.org/10.1080/0267257X.2017.1373693

Kuruppu, G. N., & Zoysa, A. De. (2020). COVID-19 and panic buying: an examination of the impact of behavioural biases. papers.ssrn.com. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3596101

Larson, L. R. L., & Shin, H. (2018). Fear During Natural Disaster: Its Impact on Perceptions of Shopping Convenience and Shopping Behavior. Services Marketing Quarterly, 39(4), 293–309. https://doi.org/10.1080/15332969.2018.1514795

Lehberger, M., Kleih, A.-K., & Sparke, K. (2021). Panic buying in times of coronavirus (COVID-19): Extending the theory of planned behavior to understand the stockpiling of nonperishable food in Germany. Appetite, 161. https://doi.org/10.1016/j.appet.2021.105118

Li, Q., Chen, T., Yang, J., & Cong, G. (2020). Based on computational communication paradigm: Simulation of public opinion communication process of panic buying during the COVID-19 pandemic. Psychology Research and Behavior Management, 13, 1027–1045. https://doi.org/10.2147/PRBM.S280825

Loxton, M., Truskett, R., Scarf, B., Sindone, L., Baldry, G., & Zhao, Y. (2020). Consumer Behaviour during Crises: Preliminary Research on How Coronavirus Has Manifested Consumer Panic Buying, Herd Mentality, Changing Discretionary Spending and the Role of the Media in Influencing Behaviour. Journal of Risk and Financial Management, 13(8), 166. https://doi.org/10.3390/jrfm13080166

Mach, L., & Ponting, J. (2021). Establishing a pre-COVID-19 baseline for surf tourism: Trip expenditure and attitudes, behaviors and willingness to pay for sustainability. Annals of Tourism Research Empirical Insights, 2(1), 100011. https://doi.org/10.1016/j.annale.2021.100011

Prentice, C., Chen, J., & Stantic, B. (2020). Timed intervention in COVID-19 and panic buying. Journal of Retailing and Consumer Services, 57. https://doi.org/10.1016/j.jretconser.2020.102203

Wang, Z., Liu, X., Zhang, S., & Baños, R. (2019). A New Decision Method for Public Opinion Crisis with the Intervention of Risk Perception of the Public. Complexity, 2019. https://doi.org/10.1155/2019/9527218

Zhang, E. M. (2010). Understanding the Acceptance of Mobile SMS Advertising among Young Chinese Consumers. Psychology & Marketing, 30(6), 461–469. https://doi.org/10.1002/mar

Zheng, R, Shou, B., & Yang, J. (2021). Supply disruption management under consumer panic buying and social learning effects. Omega (United Kingdom), 101. https://doi.org/10.1016/j.omega.2020.102238

Zheng, Rui, Shou, B., & Yang, J. (2021). Supply disruption management under consumer panic buying and social learning effects. Omega (United Kingdom), 101, 102238. https://doi.org/10.1016/j.omega.2020.102238

Downloads

Published

2022-04-11

Issue

Section

Articles