Effects of Movement Restrictions on Consumer Consumption

Authors

  • Tapash Kumar Saha Jahangirnagar University
  • Md. Fazlul Karim Patwary Jahangirnagar University
  • Faria Ahmed Jahangirnagar University
  • Md. Biplob Hosen Jahangirnagar University
  • Rashed Mazumder Jahangirnagar University

DOI:

https://doi.org/10.37385/jaets.v6i1.4851

Keywords:

Movement Restriction, Consumer Consumption, K-means Clustering, Purchase Pattern

Abstract

This study addresses the impact of movement restrictions, particularly during pandemics, on global consumer behavior, with a focus on grocery shopping. Despite the widespread effects, research on these changes remains limited, prompting the need to investigate hidden purchase patterns contributing to economic growth. Employing secondary data analysis, the study explores the effects of movement restrictions on customer consumption patterns, using K-means cluster analysis to identify distinct consumer segments. The findings highlight significant impacts on purchasing power, item prices, and consumption behavior, with a notable increase in item prices during the post-restriction period followed by a subsequent decline influenced by economic factors such as financial uncertainty and shifting priorities. This research contributes by shedding light on the dynamic nature of consumer behavior during and after movement restrictions, offering valuable insights for policymakers and businesses navigating the post-restriction economic landscape and informing strategies for economic recovery and growth.

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References

Aday, S. a. (2020). Impact of COVID-19 on the food supply chain. Food quality and safety, 167-180.

Amberg, N. a. (2019). Green consumer behavior in the cosmetics market. Resources, 8, 137.

Anitha, P. a. (2022). RFM model for customer purchase behavior using K-Means algorithm. Journal of King Saud University-Computer and Information Sciences, 34, 1785-1792.

Arora, N. a. (2020). A global view of how consumer behavior is changing amid COVID-19. Mcknsey and Company.

Arouna, A. a. (2020). Policy options for mitigating impacts of COVID-19 on domestic rice value chains and food security in West Africa. Global Food Security, 100405.

Baekkeskov, E. (2020). Pandemic preparedness and responses to the 2009 H1N1 influenza: Crisis management and public policy insights. Oxford Research Encyclopedia of Politics. Dispon{'i}vel em: https://oxfordre. com/politics/view/10.1093/acrefore/9780190228637.001, 1.

Baker, S. R. (2020). How does household spending respond to an epidemic? Consumption during the 2020 COVID-19 pandemic. The Review of Asset Pricing Studies, 10, 834-862.

Bargoni, A. a. (2022). Competitive strategies in the agri-food industry in Italy during the COVID-19 pandemic: an application of K-means cluster analysis. British Food Journal, 124, 4782-4799.

Chen, D. a. (2023). How household food shopping behaviors changed during COVID-19 lockdown period: Evidence from Beijing, China. Journal of Retailing and Consumer Services, 75, 103513.

Christy, A. J. (2021). RFM ranking--An effective approach to customer segmentation. Journal of King Saud University-Computer and Information Sciences, 33, 1251-1257.

Das, D. a. (2022). Impact of COVID-19 on changing consumer behaviour: Lessons from an emerging economy. International journal of consumer studies, 46, 692-715.

Donthu, N. a. (2020). Effects of COVID-19 on business and research. Journal of business research, 117, 284-289.

Ganguly, S. a. (2020). Impact of pandemics. Integrated risk of pandemic: Covid-19 impacts, resilience and recommendations, 107-132.

Gao, X. a. (2020). To buy or not buy food online: The impact of the COVID-19 epidemic on the adoption of e-commerce in China. PloS one, 15, e0237900.

Goddard, E. (2020). The impact of COVID-19 on food retail and food service in Canada: Preliminary assessment. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 157.

Goolsbee, A. a. (2021). Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020. Journal of Public Economics, 193, 104311.

Gracia, A. (2014). Consumers’ preferences for a local food product: a real choice experiment. Empirical Economics, 111-128.

Grashuis, J. a. (2020). Grocery shopping preferences during the COVID-19 pandemic. Sustainability, 12, 5369.

Gutiérrez-Villar, B. R.-B.-R. (2021). COVID-19? s First Wave: Examination of Impact on Food Purchasing Behaviour in the Eurozone. Foods, 10, 1179.

Hall, M. C. (2020). Hall, C. M., Prayag, G., Fieger, P., & Dyason, D. (2020). Beyond panic buying: consumption displacement and COVID-19. Journal of Service Management. Journal of service management, 32, 113-128.

Hartono, A. a. (2021). COVID-19 pandemic and adaptive shopping patterns: An insight from Indonesian consumers. Global Business Review, 09721509211013512.

Je?ewska-Zychowicz M, P. M. (2020). Consumers’ fears regarding food availability and purchasing behaviors during the COVID-19 pandemic: The importance of trust and perceived stress. Nutrients, 12, 2852.

John, J. M. (2023). An exploration of clustering algorithms for customer segmentation in the UK retail market. Analytics, 2, 809-823.

Kirk, C. P. (2020). I'll trade you diamonds for toilet paper: Consumer reacting, coping and adapting behaviors in the COVID-19 pandemic. ournal of business research, 117, 124-131.

Kotler, P. a. (2010). Principles of marketing. Pearson education.

Lu, M. a. (2022). Comparative analysis of online fresh food shopping behavior during normal and COVID-19 crisis periods. British Food Journal, 124, 968-986.

MacroTrends. (n.d.). Bangladesh Inflation Rate 1987-2024. Retrieved from macrotrends: https://www.macrotrends.net/countries/BGD/bangladesh/inflation-rate-cpi

Nanda, A. a. (2021). How would the COVID-19 pandemic reshape retail real estate and high streets through acceleration of E-commerce and digitalization? Journal of Urban Management, 10, 110-124.

Ong, A. K. (2023). Consumer preference analysis on the attributes of Samgyeopsal Korean cuisine and its market segmentation: Integrating conjoint analysis and K-means clustering. PloS one, 18, e0281948.

Pantano, E. a. (2020). Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak. Journal of Business research, 116, 209-213.

Petrescu-Mag, R. M.-D. (2020). Traditional foods at the click of a button: The preference for the online purchase of Romanian traditional foods during the COVID-19 pandemic. Sustainability, 12.

Roggeveen, A. L. (2020). How the COVID-19 pandemic may change the world of retailing. Journal of retailing, 96, 169.

Shamim, K. a. (2021). COVID-19 health safety practices: Influence on grocery shopping behavior. Journal of public affairs, 21, e2624.

Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die? Journal of business research, 280-283.

Silva, F. B. (2021). Influence of COVID-19 pandemic restrictions on college students’ dietary quality and experience of the food environment. Nutrients, 2790.

Solomon, M. R. (1994). Buying, having and being. London: Prenticle Hall.

Tabianan, K. a. (2022). K-means clustering approach for intelligent customer segmentation using customer purchase behavior data. Sustainability, 14, 7243.

Wierzbi?ski B, S. T. (2021). The role of the ecological awareness and the influence on food preferences in shaping pro-ecological behavior of young consumers. Agriculture, 345.

Wu, J. a.-P.-B. (2020). Retracted] An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm. Mathematical Problems in Engineering, 2020, 8884227.

Zwanka, R. J. (2021). COVID-19 generation: A conceptual framework of the consumer behavioral shifts to be caused by the COVID-19 pandemic. Journal of International Consumer Marketing, 33, 58-67.

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Published

2024-12-15

How to Cite

Saha, T. K., Patwary, M. F. K., Ahmed, F., Hosen, M. B. ., & Mazumder, R. (2024). Effects of Movement Restrictions on Consumer Consumption. Journal of Applied Engineering and Technological Science (JAETS), 6(1), 416–428. https://doi.org/10.37385/jaets.v6i1.4851