Social determinants of panic buying behaviour amidst COVID-19 pandemic: The role of perceived scarcity and anticipated regret

Panic buying behaviour is inherently undesirable due to its detrimental impact on community's resources and disruptions to supply chain systems. The prevailing COVID-19 pandemic has seen a resurgence of this phenomenon across the world, leaving supermarkets in stockout situations. While panic buying is largely reasoned as a psychological reaction to an extreme event, it is also a socially relevant behaviour as our perception of a crisis can be shaped by our observations and interactions within the society. The social determinants of panic buying behaviour, particularly on how these factors heighten one's perception of scarcity, and trigger panic buying behaviour, are studied. A theoretical model is developed to explain panic buying behaviour in a social context by synthesizing various social and behavioural theories, and the inter-relationship among the latent constructs is analysed using the structural equation modelling approach. Accordingly, an online survey was administered and analysis of the data confirmed that non-coercive social influence, social norm and observational learning directly influence one's perception of scarcity. Additionally, perceived scarcity can motivate panic buying behaviour directly or indirectly through feelings of anticipated regret. This study has contributed to the limited literature on panic buying. Understanding the underlying mechanisms of panic buying will aid policymakers and businesses in developing intervention or support strategies to cope with such behaviour.     

Identifying emergence process of group panic buying behavior under the COVID-19 pandemic

The sudden COVID-19 caused frequent incidents of large-scale material panic buying, resulting in imbalance in supply and demand of goods and threatening social stability. It is of great significance to analyze the formation of group panic buying and help alleviate such action. This paper takes the panic buying phenomenon as the research target, quantifies the internal and external factors affecting individual buying behavior, restores the selection process of individual buying behavior, and constructs the emergence model of group panic buying behavior by using the idea of cluster dynamics. Through simulations, we find that: (1) The epidemic information intensity has a significant impact on the emergence of group rush buying behavior. (2) Government intervention plays a significant role in reducing the scale of group rush buying. Besides, the effects of intervention reach the best before people who do not participate in rush buying disappear. In addition, we also discuss the impact, limitations and future research directions.     

Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach

During the COVID-19 pandemic, unusual consumer behavior, such as hoarding toilet paper, was reported globally. We investigated this behavior when fears of consumer market disruptions started circulating, to capture human behavior in this unique situation. Based on the stimulus-organism-response (S-O-R) framework, we propose a structural model connecting exposure to online information sources (environmental stimuli) to two behavioral responses: unusual purchases and voluntary self-isolation. To test the proposed model, we collected data from 211 Finnish respondents via an online survey, and carried out analysis using PLS-SEM. We found a strong link between self-intention to self-isolate and intention to make unusual purchases, providing empirical evidence that the reported consumer behavior was directly linked to anticipated time spent in self-isolation. The results further revealed exposure to online information sources led to increased information overload and cyberchondria. Information overload was also a strong predictor of cyberchondria. Perceived severity of the situation and cyberchondria had significant impacts on people's intention to make unusual purchases and voluntarily self-isolate. Future research is needed to confirm the long-term effects of the pandemic on consumer and retail services.     

Timed intervention in COVID-19 and panic buying

In view of 2020 outbreak of the pandemic COVID-19, the paper examines the relationship between government measures for combating the pandemic and their side effects. Panic buying is identified as one such side effect. Among various models and measures undertaken by government to manage the pandemic, timed-intervention policy is commonly practiced by most countries. This paper examines the timing effect between government measures and panic buying. Three studies were undertaken to understand the timing effect and identify a connection between timed measures and consumer behaviours. Semantic analysis, secondary data search, and big data analytics were deployed to address the research aim. Although claiming a causal relationship is cautioned, the findings reveal a connection between timing of government measures and panic buying. These findings are discussed with the support of real-life evidence. Implications for researchers and practitioners conclude this paper.     

Panic buying in the COVID-19 pandemic: A multi-country examination

The global crisis of COVID-19 pandemic has ravaged the world economy and healthcare, igniting much fear, panic, and uncertainty among billions of people. As lockdowns being implemented in many places, panic buying has emerged as a reliable feature of the Coronavirus outbreak. Therefore, it is of urgent needs to examine consumers' panic buying behaviors during COVID-19 to gain a better understanding of the phenomenon and to provide managerial insights for policy-makers and marketers alike. In this study, under the theoretical guidelines of the Stimuli-Organism-Response model and the Competitive Arousal model, we investigate how in the panic situation created by the pandemic, external stimuli such as Limited Quantity Scarcity (LQS) and Limited Time Scarcity (LTS) affect the emotional arousal among people, which in turn influences consumers’ impulsive and obsessive buying behaviors. This study is conducted in a multi-country setting including the U.S., China, India, and Pakistan. Online surveys were conducted during the peak time of pandemic. Our findings show that LQS and LTS significantly increase perceived arousal in consumers, which further leads to more impulsive and obsessive buying. In addition, our results also reveal that excessive social media use intensifies the relationship between scarcity messages and perceived arousal whereas the urge to buy impulsively moderates the relationship between perceived arousal and behavioral outcomes in all selected countries except for India. Theoretical and managerial implications are discussed in details.     

Qualitative analysis of customer behavior in the retail industry during the COVID-19 pandemic: A word-cloud and sentiment analysis approach

The COVID-19 pandemic caused a paradigm shift in customer behavior within the retail industry. Pandemic-induced restrictions and fear of product scarcity led to a change in purchasing frequency, with customers stockpiling non-perishable products such as basic foods and hygiene items. Media and social networks also played a significant role in fueling panic-buying behavior. Although sales decreased, consumption in all food categories increased due to the closure of restaurants and the need to prepare meals at home. The pandemic had a significant impact on both customers and retailers, resulting in staff reductions and a change in business strategies.To explore how Romanian food retailers’ representatives responded to the COVID-19 pandemic and adjusted to changing consumer behavior, the authors employed a qualitative research approach based on an interview guide. The data collected were analyzed using the statistical software R. In data analysis with R, the choice of functions used depends on various factors, such as the type of data, research questions, and analysis methods. Generally, commonly used functions in R for data analysis include data cleaning and manipulation functions such as subset, merge, and transform, data visualization functions such as ggplot2, and statistical modeling functions such as lm and glm, resulting in world clouds and a sentiment analysis.The results show that to develop effective business strategies, qualitative analysis helps identify the root causes of these changes. Sentiment analysis can reveal how retail chains representatives perceived the safety measures implemented in stores, such as social distancing and mask-wearing mandates, and how these measures affected customers’ shopping behavior. It also sheds light on how customers shopped and whether they planned to continue using these methods post-pandemic. Understanding these insights is crucial for retail companies to adapt their operations and better serve their customers in the post-pandemic world.     

Health insurance coverage during the COVID-19 pandemic: The role of Medicaid expansion

Using data from the US Census Bureau's Household Pulse Survey, we analyzed the likelihood of loss of health insurance and enrollment into new health coverage during the early months of the COVID-19 pandemic. Loss of employment was associated with a significant increase in the likelihood of loss of health insurance and, specifically, an increase in the likelihood of employer-sponsored health insurance. However, individuals in Medicaid expansion states experienced a lower likelihood of loss of health insurance compared with individuals in nonexpansion states. At the same time, there was a statistically significant increase in Medicaid enrollment in expansion states, by 3.2 percentage points. Reemployment or acquiring employment was associated with a gain in health insurance coverage. During an economic downturn, eligibility, and coverage gaps leave many without affordable coverage options, and the pandemic will likely bring renewed attention to gaps in Medicaid coverage in nonexpansion states.     

National response strategies and marketing innovations during the COVID-19 pandemic

During the COVID-19 pandemic, different nations have adopted a variety of response strategies to fight and contain the new coronavirus. Such national response strategies can be classified into three categories based on their underlying philosophy: strict control with unlimited resources, relentless contribution with limited resources, and rough rationality with limited resources. We discuss the philosophies, characteristics, and performances of the three response strategies and when they should be adopted. We also examine what marketing innovation strategies enterprises should adopt to survive and grow their businesses in both the short and long term. This study provides important strategic implications for national policymakers and enterprises on the use of response strategies as well as marketing innovation tactics and strategies to be used both during and after the pandemic.     

Changes in consumption patterns during the COVID-19 pandemic: Analyzing the revenge spending motivations of different emotional groups

People tend to alleviate their negative emotions by shopping. Considering the change of shopping behavior during COVID-19 outbreak, negative emotions are the key contributors to this change. In this light, this study aims to investigate how negative emotions caused by COVID-19 affect shopping behaviors. This study classified consumer groups based on their perceived negative emotions (i.e., anxiety, fear, depression, anger, and boredom). By clustering analysis, four groups (i.e., group of anxiety, depression, anger, and indifference) were derived. Then, this study examined how each of the emotional groups differently affect the shopping-related motivations (i.e., mood alleviation, shopping enjoyment, socialization seeking, and self-control seeking) and shopping behaviors (i.e., shopping for high-priced goods and buying of bulk goods). Results revealed all emotional groups affect socialization seeking and influence high-priced shopping intentions. However, depression and indifference are positively associated with socialization seeking and influence bulk shopping intentions. In addition, other emotions except for anxiety affect mood alleviation and influence high-priced shopping intentions. Finally, anger is associated with self-control seeking and affects bulk shopping intentions. This study enables practitioners and researchers to better understand how people control negative emotions by shopping in pandemic situations such as the current COVID-19 crisis.     

Service innovativeness in retailing: Increasing the relative attractiveness during the COVID-19 pandemic

COVID-19 primarily spreads through close contact between humans and has affected retailing industries extremely hard. To manage the situation retailers have turned to service innovation to change their operations to make consumers feel safe while shopping. This research focuses on the role of service innovativeness in retailing firms during the COVID-19 pandemic through an empirical study of almost 6000 consumers of 28 retailing firms. The results suggested that retailers with high service innovativeness performed COVID-19 imposed innovations better to improve their relative attractiveness. For retailers with physical stores, changes to the servicescape and the offering were found to be the key antecedents of service innovativeness. The findings on COVID-19 imposed service innovations demonstrate the importance of service innovativeness in successfully changing retailing services to adjust to the restrictions from governments and safety needs of customers.     

The impact of hotel attributes,well-being perception,and attitudes on brand loyalty: Examining the moderating role of COVID-19 pandemic

This research sought to investigate the relationships between hotel attributes, well-being perceptions, attitudes, and brand loyalty in the hotel context considering the COVID-19 pandemic. The results of the study's data analyses revealed how tangible and intangible hotel attributes improved individuals' well-being perceptions before and during the COVID-19, as well as how these perceptions in turn influenced cognitive attitudes, affective attitudes, and brand loyalty during these periods. Furthermore, the moderating role of COVID-19 was identified in the link between well-being perceptions and cognitive attitudes and in the association between cognitive attitudes and affective attitudes. In light of these findings, a discussion and insightful implications for both theory and practice were provided. Finally, the limitations of the study and future research directions were addressed.     

Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior

The COVID-19 pandemic has created a new reality for consumers all around the globe. To cope, users of digital technologies have faced the necessity of adopting and using specific technologies practically overnight. They are doing this under the condition of social isolation, all while facing the fear of catching the disease. The purpose of the paper is to study the way unexpected circumstances cause disruptions in existing theoretical models and their implications for the post-COVID-19 era. Therefore, the paper examines the unified theory of acceptance and use of technology (UTAUT) model under the circumstances of the COVID-19 pandemic and social isolation, and it identifies herd behavior as a possible new mechanism affecting behavioral intention under these unique decision-making circumstances. Behavioral intention toward online shopping was analyzed using data from 420 individuals aged 60 and older who present an increasingly important potential market for electronic commerce and who are particularly affected by COVID-19. The main results show that performance expectancy still has the most important influence on behavioral intention, whereas the impact of social influence was not supported under these conditions. Rather, herd behavior was identified as particularly influential for behavioral intention. Based on the study results, the option to reconsider the social influence factor in the UTAUT model and its possible complementary mechanisms are discussed.     

Brand competitiveness and resilience to exogenous shock: Usage of smartphone apps during the COVID-19 pandemic

This study examines the factors that affect brand competitiveness in an environment of uncertainty caused by exogenous shocks. In particular, this study focuses on smartphone apps and examines differences between “digital” brands that primarily do business online and “phygital” brands that have already established their brands offline. We also distinguished the highly uncertain environment into multiple phases and found non-linear changes in the magnitude of the parameters. We find that phygital brands have different factors affecting their competitiveness compared to digital brands. The results also provide insights into the online channel strategies of retail companies that already have brand value offline.     

Crisis challenges of small firms in Macao during the COVID-19 pandemic

This research develops a framework that combines crisis stages, stakeholder engagement, and crisis challenges. The framework is applied to small firms in Macao during the 2019 novel coronavirus disease (COVID-19) pandemic crisis. We conduct a qualitative study based on semi-structured interviews with the leaders of six small firms in Macao. The findings suggest that the COVID-19 pandemic has turned into a “normal” context, which blurs the traditional crisis termination stage. We also find that participating firms engage more with internal stakeholders than external ones. The strategies adopted by small firms include flexible human resource (HR) practices, cost reduction, enhancing customer relations, and using government support schemes. These strategies are effective in the short term; firms need to pay attention to diversity and learning for the long term.     

A psychological approach to Bitcoin usage behavior in the era of COVID-19: Focusing on the role of attitudes toward money

During and after the COVID-19 pandemic, consumers are more likely to adapt and use Bitcoin for their daily transactions. Responding to this trend, this study examines the antecedents (i.e., perceived behavioral control, subjective norm, and financial self-efficacy) and consequence (i.e., behavioral intention to use Bitcoin) of general consumers’ attitudes toward money (i.e., power-prestige, retention-time, distrust, quality, and anxiety) based on the theory of planned behavior. This study employed three waves of data collection from general consumers in the United States who were interested in Bitcoin. The findings revealed that perceived behavioral control had significant influences on power-prestige, retention-time, distrust, quality, and anxiety. The results also indicated that subjective norm had a significant impact on retention-time, distrust, and anxiety. The outcomes addressed that financial self-efficacy significantly affected power-prestige, retention-time, distrust, quality, and anxiety. Lastly, the results found that behavioral intention to use Bitcoin was significantly influenced by power-prestige, retention-time, and distrust. Based on the empirical findings, this research proposes theoretical and practical implications for the cryptocurrency context.     

A cross-cultural analysis of ridesharing intentions and compliance with COVID-19 health guidelines: The roles of social trust,fear of COVID-19, and trust-in-God

Ridesharing services such as Uber and Lyft have been substantially affected by the ongoing COVID-19 pandemic. Drawing on social capital theory, the current research investigates how social trust relates to three types of trust in compliance with COVID-19 guidelines and consumers' ridesharing intentions. Analyzing data from two economically and culturally distinct countries, the results suggest that social trust positively affects trust in platform companies' compliance with COVID-19 guidelines (TPC), but not (or to a lesser extent) trust in drivers' (TDC) and other riders (TRC) compliance with COVID-19 guidelines in both the United States and Bangladesh. Importantly, TPC, TDC, and TRC are positively related with consumers' ridesharing intentions in the United States but not in Bangladesh. Furthermore, the analysis reveals two counterintuitive moderating effects of fear of COVID-19 and trust in God. The results provide important insights on factors affecting the ridesharing industry in the context of the COVID-19 pandemic, and they emphasize the importance of considering cultural context in understanding consumers’ intentions to engage in the sharing economy.     

The contribution of macroprudential policies to banks' resilience: Lessons from the systemic crises and the COVID-19 pandemic shock

This study examines the effectiveness of macroprudential policies in reducing the banks' risk during the COVID-19 pandemic and compares these results with the systemic banking crises years. Based on a sample of 624 banks across 40 countries during the period 2006–2020, we find that loosening capital-aimed macroprudential policies effectively reduced banks' risk during the COVID-19 pandemic, while this behavior led to increased risk during the systemic crises years. In contrast, tightening the remaining macroprudential policies during the systemic crises years and during the pandemic proved effective in reducing banks' risk. Furthermore, we show that the magnitude of the impact of macroprudential policies was stronger during the systemic crisis than that during the pandemic. Finally, we show that the results are driven by the capital requirement prudential policy, both during the systemic crisis and the COVID-19 pandemic, although the conservation buffer and the leverage limit also contributes to the ineffectiveness of these policies during the COVID-19 pandemic. The banks' leverage and loan growth also play an enhancing role of the effects of the macroprudential policies.     

Consumers under pandemic anxiety: Suppressors,intensifiers, and resilients

COVID-19 turned the lives of all people across the world upside down. Everyone faced the threat of catching the virus and denial of access to the physical marketplace. For many, it also brought the threat of partial or full unemployment. This trinity of upheaval produced heightened anxiety. The purpose of this article is to understand how consumers coped with anxiety during the pandemic and lockdown periods. We hypothesized that consumers coped with such anxiety by engaging in diverse creative and productive activities, which served as anxiety suppressors. In addition, we hypothesized that one's enduring mind positivity provided resilience and helped consumers mitigate their anxiety. In survey data from a random sample of 550 consumers in the United States, we found support for these hypotheses. Consumers who engaged in voluntary productive activities suffered less anxiety. And consumers with higher resilience levels also felt lower levels of anxiety. In addition, we found that enjoyment of shopping intensified the experience of COVID-19-induced anxiety. The research framework linking this specific set of antecedents to COVID-induced anxiety and its affirmation in this study are new to the literature and therefore offer a notable contribution to it. These findings show two pathways to marketers: Organize and promote voluntary productive activities and offer means for consumers to cultivate personal resilience, on for-profit and not-for-profit platforms. Also, we suggest a future consumer research agenda for when fate again brings us face-to-face with similar or even lesser catastrophes, which, according to scientific forecasters, it sadly but surely will.     

Lessons from the COVID19 pandemic: The case of retail and consumer service firms

The COVID-19 pandemic has impacted business operations in every industry and sector around the world. Scholars, practitioners and policymakers continue to engage in understanding the effects of lockdowns, social distancing measures and other restrictions on trade; the impact of government stimulus and support measures, and how businesses have adapted their operations. The dynamic nature of the virus, and the changing socio-political and economic landscape, provide the opportunity for empirical scholarly research examining how retail and service firms have responded to the challenges and potential opportunities presented by the pandemic, and how owner/managers have pivoted in an (often) uncertain trading environment. This paper presents the findings of an applied study involving business owners (N = 268) of SME retail and service firms in the island state of Tasmania, in Australia, during the first wave of the pandemic in 2020. Findings show: (1) despite over 65 per cent of respondents reporting a downturn in revenue during 2020, almost 80 per cent indicated they had confidence in business survival heading into 2021; (2) whilst on average, businesses did not rate the level of environmental hostility as being particularly high, there was a significant correlation between perceived environmental hostility and assessment of business performance and with the level of confidence of business survival; (3) Australian federal government support and other stimulus measures were deemed crucial for business survival during 2020 with three quarters of businesses accessing the ‘JobKeeper’ scheme, and (4) businesses adapted their operations during the pandemic in terms of new products and services, increased marketing, pivoting their use of technology and promoting ‘localness’.     

The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective

The purpose of this research is to contribute to an understanding of the trends and impacts of the COVID-19 pandemic on consumer buying behaviour. The results document changes in consumer behaviour patterns that came to dominate at the start of the second wave of the COVID-19 pandemic in the context of the Czech Republic. The questionnaire survey using an online panel in a selected country was conducted to identify how consumers from the Baby Boomers, X and Y generations changed their shopping behaviour and which needs they gave preference to during the pandemic crisis in relation to their fears. Using a multiple regression analysis, we demonstrated that fear appeal (fears for health and economic fears) are associated with the changes in customer behaviour and influence traditional and online shopping related to COVID-19. The findings demonstrate significant differences as well as similarities in consumer behaviour between generations. Through empirical investigation, this research supports and expands generation cohort theory in relation to changes in consumer behaviour during the Covid-19 pandemic from a Central European perspective, and provides useful information for researchers and practitioners, particularly for retailers and marketers, to implement appropriate strategies.