IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i6p3247-d521387.html
   My bibliography  Save this article

The Determinants of Panic Buying during COVID-19

Author

Listed:
  • Grace Chua

    (School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore)

  • Kum Fai Yuen

    (School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore)

  • Xueqin Wang

    (Department of International Logistics, Chung-Ang University, Seoul 06974, Korea)

  • Yiik Diew Wong

    (School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore)

Abstract

The COVID-19 pandemic has seen an unmatched level of panic buying globally, a type of herd behavior whereby consumers buy an uncommonly huge amount of products because of a perception of scarcity. Drawing on the health belief model, perceived scarcity, and anticipated regret theories, this paper formulated a theoretical model that linked the determinants of panic buying and analyzed their interrelationships. Subsequently, data were collated from 508 consumers through an online survey questionnaire in Singapore that was conducted during the early stage of the pandemic, before the onset of the circuit breaker in April 2020. Next, an analysis of the results was done through structural equation modeling. It showed that the effect of the health belief model dimensions (i.e., perceived susceptibility, perceived severity, outcome expectation, cues to action, and self-efficacy) on panic buying is partially mediated by the consumers’ perceived scarcity of products. Furthermore, the effect of perceived scarcity on panic buying is partially mediated by consumers’ anticipation of regret. This paper expands on the current theoretical understanding of panic buying behavior, giving insights into the possible measures and solutions that policymakers and relevant stakeholders can uptake to manage panic buying in future a pandemic or health crisis.

Suggested Citation

  • Grace Chua & Kum Fai Yuen & Xueqin Wang & Yiik Diew Wong, 2021. "The Determinants of Panic Buying during COVID-19," IJERPH, MDPI, vol. 18(6), pages 1-28, March.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:3247-:d:521387
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/6/3247/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/6/3247/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaodan Pan & Martin Dresner & Benny Mantin & Jun A. Zhang, 2020. "Pre‐Hurricane Consumer Stockpiling and Post‐Hurricane Product Availability: Empirical Evidence from Natural Experiments," Production and Operations Management, Production and Operations Management Society, vol. 29(10), pages 2350-2380, October.
    2. Hugo T. Y. Yoshizaki & Irineu de Brito Junior & Celso Mitsuo Hino & Larrisa Limongi Aguiar & Maria Clara Rodrigues Pinheiro, 2020. "Relationship between Panic Buying and Per Capita Income during COVID-19," Sustainability, MDPI, vol. 12(23), pages 1-14, November.
    3. Lemieux, James & Peterson, Robert A., 2011. "Purchase deadline as a moderator of the effects of price uncertainty on search duration," Journal of Economic Psychology, Elsevier, vol. 32(1), pages 33-44, February.
    4. Liang Guo & J. Miguel Villas‐Boas, 2007. "Consumer Stockpiling and Price Competition in Differentiated Markets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 16(4), pages 827-858, December.
    5. Wang, Fei & Yuan, Yu & Lu, Liangdong, 2021. "Dynamical prediction model of consumers’ purchase intentions regarding anti-smog products during smog risk: Taking the information flow perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    6. Laato, Samuli & Islam, A.K.M. Najmul & Farooq, Ali & Dhir, Amandeep, 2020. "Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    7. Alalwan, Ali Abdallah, 2018. "Investigating the impact of social media advertising features on customer purchase intention," International Journal of Information Management, Elsevier, vol. 42(C), pages 65-77.
    8. Montaha Boazar & Abas Abdeshahi & Masoud Yazdanpanah, 2020. "Changing rice cropping patterns among farmers as a preventive policy to protect water resources," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 63(14), pages 2484-2500, December.
    9. Andrew T. Ching & Matthew Osborne, 2020. "Identification and Estimation of Forward-Looking Behavior: The Case of Consumer Stockpiling," Marketing Science, INFORMS, vol. 39(4), pages 707-726, July.
    10. Yuen, Kum Fai & Thai, Vinh V. & Wong, Yiik Diew, 2018. "An investigation of shippers’ satisfaction and behaviour towards corporate social responsibility in maritime transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 275-289.
    11. David A. Reinstein & Christopher M. Snyder, 2005. "The Influence Of Expert Reviews On Consumer Demand For Experience Goods: A Case Study Of Movie Critics," Journal of Industrial Economics, Wiley Blackwell, vol. 53(1), pages 27-51, March.
    12. Yi Liao & Jun Li & Xinxin Hu & Ying Li & Wenjing Shen, 2020. "Application of Lateral Transshipment in Cost Reduction of Decentralized Systems," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    13. Yuen, Kum Fai & Wang, Xueqin & Ma, Fei & Wong, Yiik Diew, 2019. "The determinants of customers’ intention to use smart lockers for last-mile deliveries," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 316-326.
    14. Hui-Ting Huang & Yu-Ming Kuo & Shiang-Ru Wang & Chia-Fen Wang & Chung-Hung Tsai, 2016. "Structural Factors Affecting Health Examination Behavioral Intention," IJERPH, MDPI, vol. 13(4), pages 1-15, April.
    15. Hazel Rose Markus & Barry Schwartz, 2010. "Does Choice Mean Freedom and Well-Being?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 344-355, August.
    16. Khan, Hina & Daryanto, Ahmad & Liu, Chihling, 2019. "How anticipated regret influences the effect of economic animosity on consumers’ reactions towards a foreign product," International Business Review, Elsevier, vol. 28(2), pages 405-414.
    17. Na Hao & H. Holly Wang & Qingjie Zhou, 2020. "The impact of online grocery shopping on stockpile behavior in Covid-19," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(3), pages 459-470, August.
    18. Massimo Baldini & Giovanni Gallo & Costanza Torricelli, 2020. "The scars of scarcity in the short run: an empirical investigation across Europe," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 1033-1069, October.
    19. Kum Fai Yuen & Xueqin Wang & Fei Ma & Kevin X. Li, 2020. "The Psychological Causes of Panic Buying Following a Health Crisis," IJERPH, MDPI, vol. 17(10), pages 1-14, May.
    20. Manish Gangwar & Nanda Kumar & Ram C. Rao, 2014. "Consumer Stockpiling and Competitive Promotional Strategies," Marketing Science, INFORMS, vol. 33(1), pages 94-113, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fei Huang & Wenqiu Guo, 2023. "Rise of Mental Sub-Health Consumers: Examining the Compulsive Buying Behavior in the Post-COVID-19 Era," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. Raj, Praveen Vijaya Raj Pushpa & Nagarajan, Bagathsingh & Schoenherr, Tobias & Ramkumar, M., 2023. "A comparative investigation of a seller’s disaster payment period policy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    3. Rudsari, Saba & Fuqua, Donovan & Pimentel, Victor & Brewer, Barry, 2023. "Resilience and Recovery: Understanding the Underlying Drivers of Long-term Instability in Food Supply Chains," Journal of Food Distribution Research, Food Distribution Research Society, vol. 54(2), July.
    4. Wang, Xueqin & Wong, Yiik Diew & Sun, Shanshan & Yuen, Kum Fai, 2022. "An investigation of self-service technology usage during the COVID-19 pandemic: The changing perceptions of ‘self’ and technologies," Technology in Society, Elsevier, vol. 70(C).
    5. Swagata Chakraborty & Amrut Sadachar, 2023. "Did Anything Good Come Out of the Pandemic? COVID-19-Stress Induced Self-Regulatory Sustainable Apparel Consumption among the Millennials in the U.S," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    6. Sun, Qi & Ma, Junyong & Lu, Qihui & Gao, Yaya & Xu, Weidong, 2024. "System dynamics analysis of Retailer's emergency strategies when facing irrational demand and supply disruption," International Journal of Production Economics, Elsevier, vol. 271(C).
    7. Mingwei Li & Qingjin Wang & Ying Cao, 2022. "Understanding Consumer Online Impulse Buying in Live Streaming E-Commerce: A Stimulus-Organism-Response Framework," IJERPH, MDPI, vol. 19(7), pages 1-17, April.
    8. Guohua He & Zirun Hu, 2022. "A Model of Panic Buying and Workforce under COVID-19," IJERPH, MDPI, vol. 19(24), pages 1-14, December.
    9. Wanjing Jiang & Yao Song, 2022. "Mobile Shopping during COVID-19: The Effect of Hedonic Experience on Brand Conspicuousness, Brand Identity and Associated Behavior," IJERPH, MDPI, vol. 19(8), pages 1-14, April.
    10. Irineu de Brito Junior & Hugo Tsugunobu Yoshida Yoshizaki & Flaviane Azevedo Saraiva & Nathan de Campos Bruno & Roberto Fray da Silva & Celso Mitsuo Hino & Larissa Limongi Aguiar & Isabella Marrey Fer, 2023. "Panic Buying Behavior Analysis according to Consumer Income and Product Type during COVID-19," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    11. Stanca, Liana & Dabija, Dan-Cristian & Câmpian, Veronica, 2023. "Qualitative analysis of customer behavior in the retail industry during the COVID-19 pandemic: A word-cloud and sentiment analysis approach," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    12. Lenka Mynaříková & Vít Pošta, 2023. "The Effect of Consumer Confidence and Subjective Well-being on Consumers’ Spending Behavior," Journal of Happiness Studies, Springer, vol. 24(2), pages 429-453, February.
    13. Liu, Yanfeng & Cai, Lanhui & Ma, Fei & Wang, Xueqin, 2023. "Revenge buying after the lockdown: Based on the SOR framework and TPB model," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    14. Hao Chen & Alvin Lim, 2024. "The weakening pricing power of major brand over private label grocery products: evidence from a Dutch retailer," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(5), pages 396-405, October.
    15. Mohammad Alamgir Hossain & Md. Maruf Hossan Chowdhury & Ilias O. Pappas & Bhimaraya Metri & Laurie Hughes & Yogesh K. Dwivedi, 2023. "Fake news on Facebook and their impact on supply chain disruption during COVID-19," Annals of Operations Research, Springer, vol. 327(2), pages 683-711, August.
    16. Brendan Chukwuemeka Ezeudoka & Mingyue Fan, 2024. "Exploring the impact of digital distrust on user resistance to e-health services among older adults: the moderating effect of anticipated regret," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-19, December.
    17. Di Novi, Cinzia & Leporatti, Lucia & Levaggi, Rosella & Montefiori, Marcello, 2022. "Adherence during COVID-19: The role of aging and socio-economics status in shaping drug utilization," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 1-14.
    18. Alishba & Muhammad Abrar & Faiqa Kiran, 2023. "The Role Of Perceived Severity And Anticipated Regret In Predicting Panic Buying Behavior," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(2), pages 164-170.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Tinggui & Jin, Yumei & Yang, Jianjun & Cong, Guodong, 2022. "Identifying emergence process of group panic buying behavior under the COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    2. Ali, Maged & Gomes, Lucas Moreira & Azab, Nahed & de Moraes Souza, João Gabriel & Sorour, M. Karim & Kimura, Herbert, 2023. "Panic buying and fake news in urban vs. rural England: A case study of twitter during COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    3. Cruz-Cárdenas, Jorge & Zabelina, Ekaterina & Guadalupe-Lanas, Jorge & Palacio-Fierro, Andrés & Ramos-Galarza, Carlos, 2021. "COVID-19, consumer behavior, technology, and society: A literature review and bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Yuen, Kum Fai & Chua, Jie Ying & Li, Xue & Wang, Xueqin, 2023. "The determinants of users’ intention to adopt telehealth: Health belief, perceived value and self-determination perspectives," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    5. Xi Li & Krista J. Li & Yan Xiong, 2023. "Channel Coordination of Storable Goods," Marketing Science, INFORMS, vol. 42(3), pages 538-550, May.
    6. Guohua He & Zirun Hu, 2022. "A Model of Panic Buying and Workforce under COVID-19," IJERPH, MDPI, vol. 19(24), pages 1-14, December.
    7. Naeem, Muhammad, 2021. "Do social media platforms develop consumer panic buying during the fear of Covid-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    8. Manish Gangwar & Nanda Kumar & Ram C. Rao, 2021. "Pricing Under Dynamic Competition When Loyal Consumers Stockpile," Marketing Science, INFORMS, vol. 40(3), pages 569-588, May.
    9. Irineu de Brito Junior & Hugo Tsugunobu Yoshida Yoshizaki & Flaviane Azevedo Saraiva & Nathan de Campos Bruno & Roberto Fray da Silva & Celso Mitsuo Hino & Larissa Limongi Aguiar & Isabella Marrey Fer, 2023. "Panic Buying Behavior Analysis according to Consumer Income and Product Type during COVID-19," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    10. Jiang, Yi & Wang, Xueqin & Yuen, Kum Fai, 2021. "Augmented reality shopping application usage: The influence of attitude, value, and characteristics of innovation," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    11. Jiang, Yi & Lai, Po-Lin & Yang, Ching-Chiao & Wang, Xinchen, 2023. "Exploring the factors that drive consumers to use contactless delivery services in the context of the continued COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    12. Zaid Obeidat & Mohammad Ibrahim Obeidat, 2023. "A typology of Jordanian consumers after Covid‐19: The rational, the suspicious, and the cautious consumer," Journal of Consumer Affairs, Wiley Blackwell, vol. 57(1), pages 121-139, January.
    13. Liu, Yanfeng & Cai, Lanhui & Ma, Fei & Wang, Xueqin, 2023. "Revenge buying after the lockdown: Based on the SOR framework and TPB model," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    14. Abu Elnasr E. Sobaih, 2023. "Excessive Food Buying in Saudi Arabia Amid COVID-19: Examining the Effects of Perceived Severity, Religiosity, Consumption Culture and Attitude toward Behavior," IJERPH, MDPI, vol. 20(4), pages 1-15, February.
    15. Sarraf, Shagun & Kushwaha, Amit Kumar & Kar, Arpan Kumar & Dwivedi, Yogesh K. & Giannakis, Mihalis, 2024. "How did online misinformation impact stockouts in the e-commerce supply chain during COVID-19 – A mixed methods study," International Journal of Production Economics, Elsevier, vol. 267(C).
    16. Katarina Valaskova & Pavol Durana & Peter Adamko, 2021. "Changes in Consumers’ Purchase Patterns as a Consequence of the COVID-19 Pandemic," Mathematics, MDPI, vol. 9(15), pages 1-17, July.
    17. Meng, Jie & Chen, Kai, 2024. "Rethinking preemptive consumption: Building mechanisms of reciprocity, contextuality, and risk hedging across scenarios," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    18. Ecaterina Coman & Claudiu Coman & Angela Repanovici & Mihaela Baritz & Attila Kovacs & Ana Maria Tomozeiu & Silviu Barbu & Ovidiu Toderici, 2022. "Does Sustainable Consumption Matter? The Influence of the COVID-19 Pandemic on Medication Use in Brasov, Romania," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    19. Nelson Borges Amaral & Bin Chang & Rachel Burns, 2022. "Understanding consumer stockpiling: Insights provided during the COVID‐19 pandemic," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(1), pages 211-236, March.
    20. Sarin Raju & T. M. Rofin & S. Pavan Kumar, 2024. "Pricing decisions during panic buying and its effect on a dual-channel supply chain under different channel power structures," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(2), pages 83-95, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:3247-:d:521387. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.