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Online media and fuel panic buying: unraveling causality under fixed prices in Hungary

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In the wake of the significant impact of the COVID‐19 pandemic on industries and societies worldwide, the world has transitioned into a new normal marked by increased susceptibility to disruptive, volatile, uncertain, complex, and ambiguous (DVUCA) events. In this new normal, panic buying has proliferated into a pervasive global consumer behavior, rendering far‐reaching implications on economies and societies worldwide and thus necessitating thorough investigation. Existing literature on panic buying is constrained by two noteworthy limitations: firstly, the scarcity of studies that delineate the commercial impact of panic buying, and secondly, the dearth of longitudinal data in panic buying research. Addressing these gaps, this study employs longitudinal multi‐sourced monthly and seasonally adjusted secondary data comprising retail revenue of supermarkets and grocery stores and related COVID‐19 indicators in Australia to establish a case of panic buying and examine its commercial impact. Using 10 generalized least squares and two‐stage least squares regressions, we observe a positive, statistically significant relationship between the intensity of external crises and retail revenue, even when accounting for control and instrumental variables. Specifically, the increasing number of COVID‐19 new cases was found to produce a positive and significant effect on supermarket and grocery store revenue, with each new case contributing AU $0.02 million. Therefore, the present study contributes alternative evidence from the field that not only reaffirms the effect of externalities such as COVID‐19 in stimulating panic buying among consumers, but also highlights, for the first time, the commercial value of panic buying. The marketing implications of these findings in the new normal are also discussed.
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Purpose The global COVID-19 pandemic impacted the healthcare systems of every nation. The scarcity of medical protective equipment led to impulse buying at the early stages of the COVID-19 outbreak in China which resulted in stockpiling and the increase of prices by retailers and insufficiencies among frontline workers. This situation impacted epidemic control work and market order and is the context from which this paper identifies how the scarcity of medical protective equipment affected Chinese consumers’ impulse buying based on the theories of S-O-R model and bandwagon effect. The research provides insight into the mechanism of mediation (fear of missing out) and moderation (bandwagon) in the relationship between scarcity and impulse buying. Design/Methodology/Approach This study uses convenience sampling, surveying 488 Chinese consumers through an online questionnaire. Smart-PLS was used to test the hypotheses. Findings The empirical findings demonstrate that scarcity makes consumers fear missing the chance of getting protective medical equipment, leading ultimately to impulse buying. Besides, the scarcity effect on consumers’ impulse buying was found to depend on other consumers’ follow up behaviour in such emergency situations. Research Limitations/Implications The findings provide managerial and theoretical insight and a point of reference for businesses in the implementation of a scarcity strategy. The findings will also prove useful to the Chinese Risk Response Department as it continuously improves its responses to the risk of consumers’ impulse buying during a pandemic. Originality/Value This study consolidates and takes research forward in the areas of impulse buying and consumer behaviour, confirming the mediating effect of fear of missing out and the moderating effect of the bandwagon in the relationship between scarcity and impulse buying.
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The COVID-19 pandemic, with its attendant supply chain disruptions and restrictions on internal movement, has been associated with frequent episodes of panic buying both in its initial phase and in subsequent waves. Empirical evidence suggests that news media content and consumption are important determinants of attitudes and behavior during the pandemic, and existing research both before and during the pandemic suggests that panic buying can be influenced by both exposure to media reports and their specific content. This pilot study was conducted to assess the quality of media reports of panic buying during the second year of the COVID-19 pandemic, using two independent measures of news article quality. Seventy news reports of panic buying across 12 countries, covering the “second wave” of the pandemic from January 1 to December 31, 2021, were collected through an online search of media outlets using the Google News aggregator. These reports were analyzed in terms of the content of their reporting, based on existing research of the factors driving panic buying during the COVID-19 pandemic. Each report was scored for quality using two different systems: one based on an existing WHO guideline, and one based on the work of a research group which has published extensive work related to panic buying during this pandemic. It was observed that a significant number of reports contained elements that were likely to amplify, rather than attenuate, panic buying behavior, and that the quality of news reports was generally poor regardless of pandemic severity, cultural values, or freedom of the press. On the basis of this evidence, suggestions are offered to improve the media reporting of panic buying and minimize the risk of fear contagion and imitation.
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The sudden outbreak of COVID-19 at the end of 2019 has had a huge impact on people's lives all over the world, and the overwhelmingly negative information about the epidemic has made people panic for the future. This kind of panic spreads and develops through online social networks, and further spreads to the offline environment, which triggers panic buying behavior and has a serious impact on social stability. In order to quantitatively study this behavior, a two-layer propagation model of panic buying behavior under the sudden epidemic is constructed. The model first analyzes the formation process of individual panic from a micro perspective, and then combines the Susceptible-Infected-Recovered (SIR) Model to simulate the spread of group behavior. Then, through simulation experiments, the main factors affecting the spread of panic buying behavior are discussed. The experimental results show that: (1) the dissipating speed of individual panics is related to the number of interactions and there is a threshold. When the number of individuals involved in interacting is equal to this threshold, the panic of the group dissipates the fastest, while the dissipation speed is slower when it is far from the threshold; (2) The reasonable external information release time will affect the occurrence of the second panic buying, meaning providing information about the availability of supplies when an escalation of epidemic is announced will help prevent a second panic buying. In addition, when the first panic buying is about to end, if the scale of the second panic buying is to be suppressed, it is better to release positive information after the end of the first panic buying, rather than ahead of the end; and (3) Higher conformity among people escalates panic, resulting in panic buying. Finally, two cases are used to verify the effectiveness and feasibility of the proposed model.
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Panic buying has re‐emerged as a ‘new’ normal consumer behaviour and has become a coping mechanism for real and perceived dangers associated with COVID‐19. Despite the need for a better understanding of the panic buying phenomenon, there has been a lack of scholarly research on this topic. This study seeks to fill this gap. In this article, we systematically review extant studies in panic buying from the last two decades. We analyse and categorize them according to Callahan's 4W (2014) review structure and Paul and Rosado‐Serrano's (2019) TCCM framework. We found that the existing publications in panic buying are fragmented across multiple disciplines. Due to the nature of the panic‐induced behaviour, most of them have been written as a reaction to the pandemic crisis. We contribute to marketing research by providing theoretical, contextual and methodological insights into the field of panic buying. Furthermore, we develop a research agenda related to retailer and consumer perspectives. Additionally, we identify research issues related to policymaking and governance, as well as broader societal impacts that need to be addressed in the future.
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Panic buying emerged as a significant phenomenon during the COVID‐19 pandemic. This study draws on the scarcity principle, crowd psychology, and contagion theory to investigate the antecedents and consequences of panic buying. The antecedents included in this study are government measures, media and peer influence, and the fear of missing out. The consequences are founded on a sense of security and guilt. Retailer intervention is included as a moderator to the proposed main effects. Data were collected from 341 consumers who engaged in panic buying and were residents of the United States and Australia during the COVID‐19 pandemic. Structural equation modelling (PLS‐SEM) was employed to test the proposed model. The results show that the proposed antecedents (except fear of missing out) were significantly related to panic buying, which in turn had a significant influence on panic buyers’ psychological outcomes. The moderating effects of retailer intervention varied across different product categories. Discussion and implications of these findings are provided for policy makers, customers, and practitioners.
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The COVID-19 outbreak and its declaration as a pandemic by the WHO on March 11, 2020 resulted in consumer panic buying across the globe. Extant research into panic buying is scant, and its cultural context practically unexplored. This article uses mobility change data provided by Google and draws on reactance theory to establish how perceived scarcity limits freedoms, and ultimately drives individuals to panic buying. It hypothesizes and analyzes the influence of cultural factors; the findings show that individualism and uncertainty avoidance both exert a positive effect on the extent of panic buying, whereas power distance has a negative effect.
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Unlocking the power of information technologies has become a core driver of business transformation and growth, particularly Internet-enabled technologies. It is a recognizable fact that the Internet shopping trend sweeping developed countries and is still in its development stage in developing countries. Covid-19 pandemic triggered a surge in online shopping, resulting in a massive acceleration in online businesses in both developed and developing cultures. This study intends to study the adoption dynamics of Internet shopping during the Covid-19 pandemic era. The current study recognizes that trust is a crucial prerequisite to effectively dampen the noise associated with the uncertainty, insecurity, and ambiguous nature of Internet shopping technology. Certainly, a perceivably trustworthy Internet shopping environment would position individuals in a less difficult mandate to start transacting online. To achieve the goals of this study, the influence of perceived risk, Internet shopping anxiety, gender on trust and intention, and the moderating impact of cultural differences on the trust-intention relationship. A questionnaire was developed utilizing validated measurement items taken from previous research. A convenience sample was used to collect data through a self-administered questionnaire. The empirical data which consists of 215 valid datasets were analyzed utilizing WarpPLS software. Perceived risk, Internet shopping anxiety, and gender were found to exert empirical influence on trust and intention with the exception of perceived risk which showed an insignificant correlation with behavioral intention. Cultural differences, with exception of the masculinity-femininity dimension, negatively moderate the trust-intention relationship as proposed in this study. Finally, theoretical contributions and practical implications are addressed.
Article
Media effects have been studied for decades. However, it is still unclear how to assess the dynamic nature of media effects methodologically and analytically. Building on recent research on media effects and developments in statistical modeling, I present a methodological framework to provide a detailed analysis of media effect dynamics. To do so, I describe general patterns for the appearance and the duration of media effects and present statistical approaches to analyze them. Using artificial data, I illustrate how these statistical approaches can be applied to longitudinal data and show how they behave across different data scenarios. Further, extensions, limitations, and the theoretical contribution of the framework to the field of media effects research are discussed. In sum, the presented framework can be used to test various communication theories and can be combined with many research designs in order to identify patterns in the appearance and duration of media effects.
Article
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.
Article
Although consumer stockpiling is a prevalent phenomenon under the threat of a disaster, little is known about its underlying mechanisms. Leveraging consumer interviews, we build a theoretical framework that identifies two major motives for stockpiling: fear and expectations of a supply shortage. Using the COVID-19 pandemic as a viable context, through a global survey across 31 countries and search datasets from Google in the United States and 6 additional countries, we find that: (1) both fear and expectations of a supply shortage lead to stockpiling; (2) the relative prevalence of these motives evolves over the progression of the disaster, with the boost and subsequent reduction in fear being more pronounced than for expectations of a supply shortage; and (3) the impact of a disaster on fear is attenuated when consumers have high trust in the government. These findings can help retail managers and public policymakers to make more informed decisions.
Article
Objective To examine how sociodemographic variables and frequency of media consumption affect hoarding behaviour and food insecurity concerns during the COVID-19 pandemic. Method A quantitative, non-experimental, correlational online survey was administered using a convenience sample of 203 participants from the United Kingdom with no medical issues that affected buying behaviour during the pandemic to examine perceptions related to food insecurity, and self-reported food hoarding behaviour Results Younger adults and lower income groups reported higher food insecurity perceptions and hoarding behaviours. Consuming COVID-19 information from websites was significantly associated with food insecurity perceptions, while information from social media was significantly associated with more food hoarding behaviours. Conclusions Younger adults and lower income groups are vulnerable populations from the perspective of food insecurity and hoarding behaviour in times of health disasters like pandemics. While social media can play a positively catalytic role during crises, excessive online information and misinformation can contribute negatively to public panic and feelings of insecurity. Implications for disaster preparedness and future research are discussed. The findings suggest that age is the main predictor of food insecurity and hoarding behaviour, with younger adults more likely to be affected. They also suggest that people are turning to NHS wesbites, which were deemed more trustworthy than social media, to avoid ‘news fatigue’ and avoiding speculation. Suggestions for future research were made, specifically to examine people’s social support during the pandemic to understand its’ potential link to stockpiling behaviour or food insecurity concerns.
Chapter
Panic buying is commonly seen as a consequence of a difficult disaster situation. In a pandemic like COVID-19, consumers tend to stockpile staples and other essential items that they perceive may help them sustain themselves through the crisis period and in anticipation of supply shortages. It may create panic, insecurity, anxiety, and a sense of fear among the vulnerable. Panic buying is a bigger issue than it looks, as stockpiling of commodities can cause supply–demand disruption, item shortages, and price hikes of concerned items. Panic buying is not a simple phenomenon to understand; it depends upon several factors, including the behavioral phenomenon, supply chain management, economy, sociology, geology, public, political administration, disaster and emergency management, and the role of media. A multitude of factors or predictors operate at external and internal levels, which interact with one another in a very complex manner and ultimately result in panic buying behavior by an individual or group. Hence, it is important to fully understand how we can predict consumer panic buying behavior, which may help with the mitigation policy. Here, we propose a classification of external and internal predictors based on whether they work on a group level or individual level.
Chapter
The COVID-19 pandemic has brought into light several erratic human behaviors. Panic buying is one of them. There is a dearth of evidence exploring the relationship between panic buying and other environmental issues. Nevertheless, media has a bidirectional relationship with the behaviors attributing as a spreading factor vis-a-vis a preventive factor. Spreading fear, rumor, scarcity, price hike, and supply hindrance heralded to panic buying. On the other hand, disseminating the government’s action, expert opinions, underlying psychology, remedial measures, and its impact prevent the behavior. Drawing upon various media, communication, and social psychology theories such as agenda-setting theory, framing theory, priming theory, cultivation theory, social cognition theory, and risk perception, this chapter offers an understanding of the causative and preventive role of mass media in panic buying behavior during emergencies and uncertain situations among people. Finally, it provides some recommendations for policymakers and media managers on controlling panic buying.
Article
Pandemics are associated with panic buying (PB) of groceries and other supplies. During the COVID-19 pandemic, community leaders expressed frustration and bewilderment about PB. Psychological explanatory concepts, including those from social learning theory and the concept of the behavioral immune system, along with recent research, suggests the following account of pandemic-related PB. PB arises when people are told to go into self-isolation as part of pandemic containment interventions. Empirically, episodes of PB typically last 7-10 days and are likely initiated by highly fearful people. PB by an anxious minority of shoppers leads to fear contagion among other shoppers, amplified by widespread dissemination, via social media, of images and videos of PB and empty shelves in stores. Thus, a snow-balling effect arises where fear of scarcity creates real but short-term scarcity. People who are highly frightened of infection tend to have heightened disgust proneness. Toilet paper is a means of escaping disgust stimuli, and for this and other reasons, toilet paper became a target of PB for people frightened of contracting COVID-19. Exploitative or selfish over-purchasing also occurred, motivated by “dark” (e.g., psychopathic) personality traits. “Don’t panic!” messages from community leaders were ineffective or counter-productive. Alternative forms of messaging are discussed.
Article
The impact of pandemics is magnified by the coexistence of two contradicting reactions to rare dire risks: panic and the ‘it won’t happen to me’ effect that hastens spread of the disease. We review research that clarifies the conditions that trigger the two biases, and we highlight the potential of gentle rule enforcement policies that can address these problematic conditions.
Article
Background Panic buying is an emerging phenomenon observed during, but not restricted to, pandemic. Aim We aimed to evaluate the nature, extent, and impact of panic buying as reported in the media. Methods This study was conducted by collecting the information from the English media reports published till 22nd May 2020. A structured format was developed to collect data. Searching was done by using the keyword “panic buying”. We have excluded the social media posts discussing the panic buying. Results The majority of media reporting was from the USA (40.7 %), and about 46 % of reports highlighted the scarce item. Approximately 82 % of the reports presented the causes of panic buying whereas almost 80 % report covered the impact of it. About 25.7 % of reports highlighted the rumor about panic buying and only 9.3 % of reports blamed the government. Only 27.1 % reports described the remedial measures, 30.8 % reports conferred the news on the psychology behind panic buying and 67.3 % news displayed the images of empty shelves. Conclusion A high proportion of reports on panic buying have been found from the developed countries discussing the causes & impact of panic buying on the basis of expert opinion.
Article
The purpose of this study is to identify and uncover characteristics of social electronic word-of-mouth. Social eWOM applies to social media platforms in which membership is restricted and content providers are known to recipients. In relation to traditional eWOM platforms that post anonymous reviews, social eWOM has several unique characteristics: intended audience, information trustworthiness, source evaluation, and interpersonal relationships. Therefore, social eWOM should be regarded as conceptually different from anonymous eWOM, with the two serving as endpoints on a continuum. Marketing managers should understand the distinct role and value-creating potential of social eWOM in relation to other forms of WOM and social media strategies should consider methods for converting anonymous eWOM into social eWOM.
Article
Purpose With the soaring volumes of brand-related social media conversations, digital marketers have extensive opportunities to track and analyze consumers’ feelings and opinions about brands, products or services embedded within consumer generated content (CGC). These “Big Data” opportunities render manual approaches to sentiment analysis impractical and raise the need to develop automated tools to analyze consumer sentiment expressed in text format. This paper evaluates and compares the performance of two prominent approaches to automated sentiment analysis applied to CGC on social media and explores the benefits of combining them. Design/methodology/approach A sample of 850 consumer comments from 83 Facebook brand pages are used to test and compare lexicon-based and machine learning approaches to sentiment analysis, as well as their combination, using the LIWC2015 lexicon and RTextTools machine learning package. Findings Results show the two approaches are similar in accuracy, both achieving higher accuracy when classifying positive sentiment than negative sentiment. However, they differ substantially in their classification ensembles. The combined approach demonstrates significantly improved performance in classifying positive sentiment. Research limitations/implications Further research is required to improve the accuracy of negative sentiment classification. The combined approach needs to be applied to other kinds of CGCs on social media such as tweets. Practical implications The findings inform decision making around which sentiment analysis approaches (or a combination thereof) is best to analyze CGC on social media. Originality/value This study combines two sentiment analysis approaches and demonstrates significantly improved performance.
Article
This research revisits source credibility based upon the popular PESO (Paid, Earned, Shared and Owned) source classification. More specific, this study examines source credibility and channel effectiveness in terms of moving consumers along the communication lifecycle model based upon their exposure to information embedded in paid (traditional advertising and native advertising), earned (traditional news story), shared (independent blogger) and owned (company blog) media. One thousand, five hundred respondents recruited from a consumer panel participated in this 2 (level of involvement) x 5 (source) experimental design study. When respondents were asked to self-report on their levels of trust with various sources, they indicated the highest level of trust with consumer reviews and earned media and the lowest level of trust with native advertising. The experimental design study yielded no major differences among the sources for the communication lifecycle variables. Native advertising was viewed as less credible than traditional advertising in the experimental design. There were no differences in perceived credibility based upon exposure to traditional advertising versus a news story, confirming prior academic research. Suggestions are offered for public relations practitioners on selecting sources for messaging to drive behavior.
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This entry reviews agenda-setting literature from two theoretical and methodological perspectives: aggregate- and individual-level media effects. The literature suggests that all three levels of agenda-setting have found solid evidence at the aggregate level. That is, the news media are able to transfer the salience of objects, attributes, and network relationships among different elements to the public as one generalized group. With respect to the role of individual differences in the agenda-setting process, the entry focuses on the explication of a key psychological concept: need for orientation. Future directions of research in this field are suggested.