Factors Influencing Changes in Consumer Behavior amidst Post COVID-19 Pandemic
Abstract
The COVID-19 pandemic had an immediate and significant impact on consumer behavior, radically changing attitudes and behaviors, as reflected in sales figures. While some researchers believed the pandemic would lead to lasting changes, others expected a return to pre-pandemic behavioral patterns. Despite this ambiguity, there has been little research on the factors influencing consumer behavior, especially about the demand for everyday goods. This study, rooted in the theory of planned behavior (TPB) and the protection motivation theory (PMT), investigated the determinants of consumer behavior in the purchase of daily necessities following the COVID-19 outbreak. In light of the possibility that the pandemic could have caused a new pattern of consumer behavior during the endemic phase, a convenience sampling of 1438 respondents was conducted. Using Partial Least Square Structural Equation Modelling (PLS-SEM), the present study found that choice, information, and perceived economic stability (PES) positively affected consumer behavior, while COVID-19 and risk had negative effects. Interestingly, stress had no impact on consumer behavior. These findings provide valuable insights for companies desiring to understand and anticipate customer behavior during and beyond the pandemic. The present study not only identifies the factors influencing consumer behavior but also enables salespeople to develop strategies to proactively address changes in consumer behaviors.
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Addo, P. C., Jiaming, F., Kulbo, N. B., & Liangqiang, L. (2020). COVID-19: Fear appeal favoring purchase behavior towards personal protective equipment. The Service Industries Journal, 40(7–8), 471–490. https://doi.org/10.1080/02642069.2020.1751823 DOI: https://doi.org/10.1080/02642069.2020.1751823
Aguinis, H., Werner, S., Lanza Abbott, J., Angert, C., Joon Hyung Park, & Kohlhausen, D. (2009). Customer-centric science: Reporting significant research results with rigor, relevance, and practical impact in mind. Organizational Research Methods, 13(3), 515–539. https://doi.org/10.1177/1094428109333339 DOI: https://doi.org/10.1177/1094428109333339
Ahmed, M. (2021). COVID-19 impact on consumer behavior, demand and consumption. ResearchGate. Retrieved from https://doi.org/10.2015/IJIRMF.2455.0620/202101012
Ajzen, I. (1988). Attitudes, personality and behavior. Open University Press, Milton Keynes.
Al-Dubai SA, Alshagga MA, Rampal KG, Sulaiman NA. (2012) Factor structure and reliability of the Malay version of the perceived stress scale among Malaysian medical students. The Malaysian Journal of Medical Sciences, 19(3), 43-49.
Al-Salamin, H. & Al-Hassan, E. (2016). The impact of pricing on consumer buying behavior in Saudi Arabia: Al-Hassa case study. European Journal of Business and Management, 8(12), 62-73.
Asioli, D., Aschemann-Witzel, J., Caputo, V., Vecchio, R., Annunziata, A., Næs, T., & Varela, P. (2017). Making sense of the “clean label” trends: A review of consumer food choice behavior and discussion of industry implications. Food Research International, 99, 58–71. https://doi.org/10.1016/j.foodres.2017.07.022 DOI: https://doi.org/10.1016/j.foodres.2017.07.022
Avolio, B. J., Yammarino, F. J., & Bass, B. M. (1991). Identifying common methods variance with data collected from a single source: An unresolved sticky issue. Journal of Management, 17(3), 571–587. https://doi.org/10.1177/014920639101700303 DOI: https://doi.org/10.1177/014920639101700303
Bauer, R.A. (1960). Consumer behavior as risk-taking, dynamic marketing for changing world. American Marketing Association, Chicago.
Broniarczyk, S. M., & Griffin, J. G. (2014). Decision difficulty in the age of consumer empowerment. Journal of Consumer Psychology, 24(4), 608-625. DOI: https://doi.org/10.1016/j.jcps.2014.05.003
Cai, L., Yuen, K. F., Fang, M., & Wang, X. (2023). A literature review on the impact of the COVID-19 pandemic on consumer behavior: implications for consumer-centric logistics. Asia Pacific Journal of Marketing and Logistics, 35(11), 2682–2703. https://doi.org/10.1108/apjml-08-2022-0731 DOI: https://doi.org/10.1108/APJML-08-2022-0731
Cain, M. K., Zhang, Z., & Yuan, K.-H. (2017). Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation. Behavior Research Methods, 49(5), 1716–1735. https://doi.org/10.3758/s13428-016-0814-1 DOI: https://doi.org/10.3758/s13428-016-0814-1
Chernev, A., Böckenholt, U., & Goodman, J. (2015). Choice overload: A conceptual review and meta-analysis. Journal of Consumer Psychology, 25(2), 333-358. DOI: https://doi.org/10.1016/j.jcps.2014.08.002
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates Publishers.
Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385. https://doi.org/10.2307/2136404 DOI: https://doi.org/10.2307/2136404
Crowne, D. P., & Marlowe, D. (1960). A new scale of social desirability independent of psychopathology. Journal of Consulting Psychology, 24(4), 349–354. https://doi.org/10.1037/h0047358 DOI: https://doi.org/10.1037/h0047358
Das, D., Sarkar, A., & Debroy, A. (2022). Impact of COVID?19 on changing consumer behavior: Lessons from an emerging economy. International Journal of Consumer Studies, 46(3), 692–715. doi: 10.1111/ijcs.12786 DOI: https://doi.org/10.1111/ijcs.12786
Degli, E. P., Mortara, A., & Roberti, G. (2021). Sharing and sustainable consumption in the era of COVID-19. Sustainability, 13(4), 1903. https://doi.org/10.3390/su13041903 DOI: https://doi.org/10.3390/su13041903
Despin, T. (2020, May 11). Knock-on effects of COVID-19 on consumer behavior and how businesses can prepare for them. Entrepreneur. Retrieved from https://www.entrepreneur.com/en-au/growth-strategies/knock-on-effects-of-covid-19-on-consumer-behavior-and-how/350457
Dholakia, U. M., & Dholakia, R. R. (2019). How stable is consumer confidence? A longitudinal study of individual-level measures of consumer confidence. Journal of Economic Psychology, 70, 1-15.
Di Crosta, A., Ceccato, I., Marchetti, D., La Malva, P., Maiella, R., Cannito, L., Cipi, M., Mammarella, N., Palumbo, R., Verrocchio, M. C., Palumbo, R., & Di Domenico, A. (2021). Psychological factors and consumer behavior during the COVID-19 pandemic. PLOS ONE, 16(8), e0256095. https://doi.org/10.1371/journal.pone.0256095 DOI: https://doi.org/10.1371/journal.pone.0256095
Donthu, N., & Gustafsson, A. (2020). Effects of COVID-19 on business and research. Journal of Business Research, 117, 284–289. https://doi.org/10.1016/j.jbusres.2020.06.008 DOI: https://doi.org/10.1016/j.jbusres.2020.06.008
DOSM Department of Statistics Malaysia (2023), Malaysian Economic Statistics Review. Retrieved from https://efaidnbmnnnibpcajpcglclefindmkaj/https://v1.dosm.gov.my/v1/uploads/files/1_Articles_By_Themes/External_Sector/MESR/Malaysia_Economic_Statistics_Review-Vol-2-2023.pdf
Durante, K. M., & Laran, J. (2016). The effect of stress on consumer saving and spending. Journal of Marketing Research, 53(5), 814–828. https://doi.org/10.1509/jmr.15.0319 DOI: https://doi.org/10.1509/jmr.15.0319
Ely, M. (1999). The importance of estimates and con?dence intervals rather than p- p-values. Sociology, 33(1), 185–190. DOI: https://doi.org/10.1017/S0038038599000103
Felipe, C., Roldán, J. L., & Leal-Rodríguez, A. (2017). Impact of organizational culture values on organizational agility. Sustainability, 9(12), 23-54. DOI: https://doi.org/10.3390/su9122354
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.1177/002224378101800313 DOI: https://doi.org/10.1177/002224378101800313
Foxall, G. R. (2015). Consumer behavior analysis and the marketing firm: Bilateral contingency in the context of environmental concern. Journal of Organizational Behavior Management, 35(1–2), 44–69. https://doi.org/10.1080/01608061.2015.1031426 DOI: https://doi.org/10.1080/01608061.2015.1031426
Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: an organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185–214. DOI: https://doi.org/10.1080/07421222.2001.11045669
Hahn, E. D., & Ang, S. H. (2017). From the editors: New directions in the reporting of statistical results in the Journal of World Business. Journal of World Business, 52(2), 125-126. DOI: https://doi.org/10.1016/j.jwb.2016.12.003
Hair, J. F., Thomas, G., Hult, M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (2nd ed.). Thousand Oakes, CA: Sage. DOI: https://doi.org/10.15358/9783800653614
Hair, J., Risher, J., Sarstedt, M., & Ringle, C. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. DOI: https://doi.org/10.1108/EBR-11-2018-0203
Hassan, H. (2021). 140,608 employees lost their jobs during a pandemic, says HR minister. TRP. Retrieved from https://www.therakyatpost.com/news/malaysia/2021/09/29/140608-employees-lost-their-jobs-during-pandemic-says-hr-minister/
Henseler, J., Ringle, C., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. DOI: https://doi.org/10.1007/s11747-014-0403-8
Hesham, F., Riadh, H., & Sihem, N. K. (2021). What have we learned about the effects of the COVID-19 pandemic on consumer behavior? Sustainability, 13(8), 4304. https://doi.org/10.3390/su13084304 DOI: https://doi.org/10.3390/su13084304
Hubbard, R., & Meyer, C. K. (2013). The rise of statistical significance testing in public administration research and why this is a mistake. Journal of Business and Behavioral Sciences, 39(25), 4-20.
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, 102357. https://doi.org/10.1016/j.jretconser.2020.102357 DOI: https://doi.org/10.1016/j.jretconser.2020.102357
Karpen, I. O., & Conduit, J. (2020). Engaging in times of COVID-19 and beyond theorizing customer engagement through different paradigmatic lenses. Journal of Service Management, 31(6), 1163–1174. https://doi.org/10.1108/josm-05-2020-0156 DOI: https://doi.org/10.1108/JOSM-05-2020-0156
Khaniwale, M. (2015). Consumer buying behavior. International Journal of Innovation and Scientific Research, 14(2), 278-286.
Kirk, C. P., & Rifkin, L. S. (2020). I’ll trade your diamonds for toilet paper: Consumer Reacting, coping and Adapting Behaviors in the COVID-19 Pandemic. Journal of Business Research, 117, 124–131. https://doi.org/10.1016/j.jbusres.2020.05.028 DOI: https://doi.org/10.1016/j.jbusres.2020.05.028
Kline, R. B. (2011). Principles and practice of structural equation modeling. New York: Guilford Press.
Kotler, P. (1994). Marketing management: Analysis, planning, implementation, and control. 8th Edition, Prentice Hall, Upper Saddle River.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308 DOI: https://doi.org/10.1177/001316447003000308
Larson, L. R. L., & Shin, H. (2018). Fear during a 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 DOI: https://doi.org/10.1080/15332969.2018.1514795
Lee, K. (2009). Gender differences in Hong Kong adolescent consumers’ green purchasing behavior. Journal of Consumer Marketing, 26(2), 87–96. https://doi.org/10.1108/07363760910940456 DOI: https://doi.org/10.1108/07363760910940456
Lin, M., Lucas, H. C. J., & Shmueli, G. (2013). Research commentary-too big to fail: Large samples and the p-value problem. Information Systems Research, 24, 906-917. DOI: https://doi.org/10.1287/isre.2013.0480
Lingqvist, O., Nordigården, D., Roeper, E., & Vainberg, G. (2021). Beyond COVID-19: The new consumer behavior is sticking in the tissue industry. McKinsey & Company. Retrieved from https://www.mckinsey.com/industries/packaging-and-paper/our-insights/beyond-covid-19-the-new-consumer-behavior-is-sticking-in-the-tissue-industry
Liu, C., Sun, C. K., Chang, Y. C., Yang, S. Y., Liu, T., & Yang, C. C. (2021). The impact of the fear of COVID-19 on purchase behavior of dietary supplements: Integration of the Theory of Planned Behavior and the Protection Motivation Theory. Sustainability, 13(22), 12900. https://doi.org/10.3390/su132212900 DOI: https://doi.org/10.3390/su132212900
Luce, M. F., Payne, J. W., & Bettman, J. R. (2000). Emotional trade-off difficulty and choice. Journal of Marketing Research, 37(3), 286-309.
Luqman, A., Razak, R. C., Ismail, M., Alwi, M. A. M, & Cheam, C. L. (2019). Continuance intention in mobile commerce usage activities among young Malaysian consumers. Malaysian Journal of Consumer and Family Economics, 22, 152-166.
Martin, A., Markhvida, M., Hallegatte, S., & Walsh, B. (2020). Socio-economic impacts of COVID-19 on household consumption and poverty. Economics of Disasters and Climate Change, 4(3), 453–479. https://doi.org/10.1007/s41885-020-00070-3 DOI: https://doi.org/10.1007/s41885-020-00070-3
McKinsey (2020). How COVID-19 is changing consumer behavior–now and forever. Retrieved from https://www.mckinsey.com/~/media/mckinsey/industries/retail/our%20insights/how%20covid%2019%20is%20changing%20consumer%20behavior%20now%20and%20forever/how-covid-19-is-changing-consumer-behaviornow-and-forever.pdf
Mishkin, F. S. (2015). The economics of money, banking and financial markets, Business School Edition. Pearson.
Mitchell, V., & Harris, G. (2005). The importance of consumers’ perceived risk in retail strategy. European Journal of Marketing, 39(7/8), 821–837. https://doi.org/10.1108/03090560510601789 DOI: https://doi.org/10.1108/03090560510601789
Moschis, G. P. (2007) Stress and consumer behavior. Journal of the Academy of Marketing Science, 35, 430-444. https://doi.org/10.1007/s11747-007-0035-3 DOI: https://doi.org/10.1007/s11747-007-0035-3
Naeem, M. (2021). Do social media platforms develop consumer panic buying during the fear of the Covid-19 pandemic? Journal of Retailing and Consumer Services, 58, 102226. https://doi.org/10.1016/j.jretconser.2020.102226 DOI: https://doi.org/10.1016/j.jretconser.2020.102226
Nielsen (2020). Key consumer behavior thresholds identified as the Coronavirus Outbreak evolves. Retrieved from https://nielseniq.com/global/en/insights/analysis/2020/key-consumer-behavior-thresholds-identified-as-the-coronavirus-outbreak-evolves-2/
Noel, H. (2017). Basics marketing 01: Consumer behavior: Bloomsbury Publishing.
Piotrowicz, K., G?sowski, J., Michel, J., & Veronese, N. (2021). Post-COVID-19 acute sarcopenia: Physiopathology and management. Aging Clinical and Experimental Research. https://doi.org/10.1007/s40520-021-01942-8 DOI: https://doi.org/10.1007/s40520-021-01942-8
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879. DOI: https://doi.org/10.1037/0021-9010.88.5.879
Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0: An updated guide and practical guide to statistical analysis (2nd ed.). Kuala Lumpur, Malaysia: Pearson.
Rizvi, J. (2021). Changes in consumer behavior brought on by the pandemic. Forbes. Retrieved from https://www.forbes.com/sites/jiawertz/2021/01/31/changes-in-consumer-behavior-brought-on-by-the-pandemic/?sh=58d0885f559e
Rodríguez-Hidalgo, A. J., Pantaleón, Y., Dios, I., & Falla, D. (2020). Fear of COVID-19, stress, and anxiety in university undergraduate students: A predictive model for depression. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.591797 DOI: https://doi.org/10.3389/fpsyg.2020.591797
Rogers, R. W. (1975). A Protection Motivation Theory of fear, appeals and attitude changed. Journal of Psychology, 91, 93–114. DOI: https://doi.org/10.1080/00223980.1975.9915803
Rönkkö, M., & Ylitalo, J. (2010). Construct validity in Partial Least Squares Path Modeling. Paper presented at the International Conference on Information Systems (ICIS 2010), Missouri, United States.
Sawyer, A. G., & Peter, J. P. (1983). The significance of statistical significance tests in marketing research. Journal of Marketing Research, 20(2), 122–133. https://doi.org/10.1177/002224378302000203 DOI: https://doi.org/10.1177/002224378302000203
Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die? Journal of Business Research, 117, 280-283. https://doi.org/10.1016/j.jbusres.2020.05.059. DOI: https://doi.org/10.1016/j.jbusres.2020.05.059
Shmueli. G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSPredict. European Journal of Marketing, 53(11), 2322-2347. DOI: https://doi.org/10.1108/EJM-02-2019-0189
Singh, K., Ang, S. H., & Leong, S. M. (2003). Increasing replication for knowledge accumulation in strategy research. Journal of Management, 29(4), 533–549. https://doi.org/10.1016/s0149-2063_03_00024-2 DOI: https://doi.org/10.1016/S0149-2063_03_00024-2
Sotgiu, I., & Galati, A. (2020). The impact of COVID-19 on consumer behavior: A cross-country comparison. The Open Psychology Journal, 13(1), 241-253.
Tao, H., Sun, X., Liu, X., Tian, J., & Zhang, D. (2022). The impact of consumer purchase behavior changes on the business model design of consumer services companies throughout COVID-19. Frontiers in Psychology, 13(2002), https://doi.org/10.3389/fpsyg.2022.818845 DOI: https://doi.org/10.3389/fpsyg.2022.818845
Trust Barometer Special Reports (2020). Edelman. Retrieved from https://www.edelman.com/trust/2020-trust-barometer/special-reports
Werner-Lewandowsk, K., Lubinski, P., & Sloniec, J. (2021). The effect of COVID-19 on consumer behavior in Poland - Preliminary research results. European Research Studies Journal, XXIV(Special Issue 2), 405–416. https://doi.org/10.35808/ersj/2272 DOI: https://doi.org/10.35808/ersj/2272
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