How to overcome informational conformity consumer behavior when faced with threats of death is a social problem in response to COVID-19. This research is based on the terror management theory, the ...need to belong theory and the materialism theory. It uses a theoretical model to determine the relationships between threats of death and informational conformity consumer behavior. From 1453 samples collected during outbreak of COVID-19 in China, we used a structural equation model to test multiple research hypotheses. The result shows that threats of death are positively associated with a need to belong, materialism and informational conformity consumer behavior. The need to belong and materialism can play a mediating role between threats of death and information conformity consumption behavior, and perceived social support can play a moderating role between threats of death and information conformity consumption behavior.
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•Consumer’s disease distrust increased their intention to visit a restaurant during the COVID-19 pandemic.•Perceived safety and brand was the major factor affecting consumers’ ...intention to visit a restaurant.•Solidarity to the foodservice sector was a new and situational factor affecting consumer’s intentions.•Restaurant owners should invest in safety aspects, increasing consumer’s trust and intention to visit.
This study aimed to verify how consumers’ intention to visit restaurants during the pandemic is affected by consumers’ risk perception and different types of trust. The sample was composed of 546 consumers from 89 different cities in Brazil. An adapted 43 items questionnaire with 5-point scales was administered, and analyzed usingstructural equation modeling. The results indicate that consumers' trust in a restaurant and brand, fair price, solidarity with the restaurant sector, disease denial, and health surveillance trust predict intention to visit a restaurant during the COVID-19 pandemic. Age has significant moderated effects, reducing disease denial effects. The trust in restaurants and brands was the factor with the largest effect size. In a multigroup analysis, it was found that solidarity with the sector does not affect the intention to visit restaurants for consumers without formal work. It is discussed the implications of an increased consumers' risk perception, directly affecting their intentions. Special attention to consumers’ trust and fair price perception is fundamental, given consumers’ solidary inclination toward helping the restaurant sector. These aspects must be recognized by restaurant owners and managers to be improved and be used to attract consumers.
AbstractObjectiveTo determine changes in household purchases of drinks and confectionery one year after implementation of the UK soft drinks industry levy (SDIL).DesignControlled interrupted time ...series analysis.ParticipantsMembers of a panel of households reporting their purchasing on a weekly basis to a market research company (average weekly number of participants n=22 183), March 2014 to March 2019.InterventionA two tiered tax levied on manufacturers of soft drinks, announced in March 2016 and implemented in April 2018. Drinks with ≥8 g sugar/100 mL (high tier) are taxed at £0.24/L and drinks with ≥5 to <8 g sugar/100 mL (low tier) are taxed at £0.18/L. Drinks with <5 g sugar/100 mL (no levy) are not taxed.Main outcome measuresAbsolute and relative differences in the volume of, and amount of sugar in, soft drinks categories, all soft drinks combined, alcohol, and confectionery purchased per household per week one year after implementation of the SDIL compared with trends before the announcement of the SDIL.ResultsIn March 2019, compared with the counterfactual estimated from pre-announcement trends, purchased volume of drinks in the high levy tier decreased by 155 mL (95% confidence interval 240.5 to 69.5 mL) per household per week, equivalent to 44.3% (95% confidence interval 59.9% to 28.7%), and sugar purchased in these drinks decreased by 18.0 g (95% confidence interval 32.3 to 3.6 g), or 45.9% (68.8% to 22.9%). Purchases of low tier drinks decreased by 177.3 mL (225.3 to 129.3 mL) per household per week, or 85.9% (95.1% to 76.7%), with a 12.5 g (15.4 to 9.5 g) reduction in sugar in these drinks, equivalent to 86.2% (94.2% to 78.1%). Despite no overall change in volume of no levy drinks purchased, there was an increase in sugar purchased of 15.3 g (12.6 to 17.9 g) per household per week, equivalent to 166.4% (94.2% to 238.5%). When all soft drinks were combined, the volume of drinks purchased did not change, but sugar decreased by 29.5 g (55.8 to 3.1 g), or 9.8% (17.9% to 1.8%). Purchases of confectionery and alcoholic drinks did not change.ConclusionsCompared with trends before the SDIL was announced, one year after implementation, the volume of soft drinks purchased did not change. The amount of sugar in those drinks was 30 g, or 10%, lower per household per week—equivalent to one 250 mL serving of a low tier drink per person per week. The SDIL might benefit public health without harming industry.Trial registrationISRCTN18042742.
Zachowania konsumentów stanowią interesujące zagadnienie zarówno z punktu widzenia naukowego, jak i biznesowego. Wiedza o tym, dlaczego konsumenci zachowują się w określony sposób, podejmując decyzje ...zakupowe, wspiera przedsiębiorstwo w dążeniu do osiągnięcia sukcesu na rynku. Celem artykułu jest identyfikacja i analiza wpływu wybranych czynników na zachowania konsumentów na rynku energii elektrycznej. Istotnym elementem artykułu jest przegląd literatury polskiej oraz zagranicznej dotyczącej zachowań konsumentów oraz omówienie modelu zachowań Howarda-Shetha oraz Nicosii, wraz z odniesieniem do determinant zachowania konsumentów. W artykule omówione zostały również wyniki badania wpływu wybranych czynników na zachowania konsumentów na rynku energii elektrycznej dotyczące nowych produktów oferowanych na rynku energii elektrycznej. Wyniki przeprowadzonego badania wskazują, że największy wpływ na zachowania konsumentów względem nowych produktów energetycznych mogą mieć czynniki o charakterze psychologicznym oraz ekonomicznym.
Consumer behaviour is an interesting issue from a scientific and business point of view. Knowledge concerning why consumers behave in a certain way while making purchasing decisions supports the company’s efforts to achieve success in the market. The article aims to identify factors influencing the behaviour of consumers in the electricity market. It was fulfilled in two ways. Firstly, Polish and foreign literature on consumer behaviour has been reviewed. The author discussed the Howard-Sheth and Nicosii behavioural model and then referred to the factors influencing consumer behaviour. Secondly, the results of the empirical study on the impact of selected factors on consumer behaviour in the electricity market were discussed. The study’s results indicate that psychological and economic factors may impact consumer behaviour toward new energy products the most.
Overwhelmingly, Black teenage girls are negatively represented in national and global popular discourses, either as being at risk for teenage pregnancy, obesity, or sexually transmitted diseases, or ...as helpless victims of inner city poverty and violence. Such popular representations are pervasive and often portray Black adolescents' consumer and leisure culture as corruptive, uncivilized, and pathological. In She's Mad Real, Oneka LaBennett draws on over a decade of researching teenage West Indian girls in the Flatbush and Crown Heights sections of Brooklyn to argue that Black youth are in fact strategic consumers of popular culture and through this consumption they assert far more agency in defining race, ethnicity, and gender than academic and popular discourses tend to acknowledge. Importantly, LaBennett also studies West Indian girls' consumer and leisure culture within public spaces in order to analyze how teens like China are marginalized and policed as they attempt to carve out places for themselves within New York's contested terrains.
The Machine Age of Customer Insightdemonstrates the impact of machine learning and data analytics, combining an academic state-of-the-art overview of machine learning with cases from well-known ...companies. These cases show the opportunities and challenges of the transformation process for business and for customer insights more specifically.
We consider a retailer that sells a product with uncertain demand over a finite selling season. The retailer sets an initial stocking quantity and, at some predetermined point in the season, ...optimally marks down remaining inventory. We modify this classic setting by introducing three types of consumers: myopic consumers, who always purchase at the initial full price; bargain-hunting consumers, who purchase only if the discounted price is sufficiently low; and strategic consumers, who strategically choose when to make their purchase. A strategic consumer chooses between a purchase at the initial full price and a later purchase at an uncertain markdown price. In equilibrium, strategic consumers and the retailer make optimal decisions given their rational expectations regarding future prices, availability of inventory, and the behavior of other consumers. We find that the retailer stocks less, takes smaller price discounts, and earns lower profit if strategic consumers are present than if there are no strategic consumers. We find that a retailer should generally avoid committing to a price path over the season (assuming such commitment is feasible)—committing to a markdown price (or to not mark down at all) is often too costly (inventory may remain unsold) even in the presence of strategic consumers; the better approach is to be cautious with the initial quantity and then mark down optimally. Furthermore, we discuss the value of quick response (the ability to procure additional inventory after obtaining updated demand information, albeit at a higher unit cost than the initial order). We find that the value of quick response to a retailer is generally much greater in the presence of strategic consumers than without them: on average 67% more valuable and as much as 558% more valuable in our sample. In other words, although it is well established in the literature that quick response provides value by allowing better matching of supply with demand, it provides more value, often substantially more value, by allowing a retailer to control the negative consequences of strategic consumer behavior.
Consumer Power: Evolution in the Digital Age Labrecque, Lauren I.; vor dem Esche, Jonas; Mathwick, Charla ...
Journal of interactive marketing,
11/2013, Volume:
27, Issue:
4
Journal Article
Peer reviewed
The predictions of growing consumer power in the digital age that predated the turn of the century were fueled by the rise of the Internet, then reignited by social media. This article explores the ...intersection of consumer behavior and digital media by clearly defining consumer power and empowerment in Internet and social media contexts and by presenting a theoretical framework of four distinct consumer power sources: demand-, information-, network-, and crowd-based power. Furthermore, we highlight technology's evolutionary role in the development of these power sources and discuss the nature of shifts in power from marketers to consumers in terms of each source. The framework organizes prior marketing literature on Internet-enabled consumer empowerment and highlights gaps in current research. Specific research questions are elaborated for each source of power outlining the agenda for future research areas.
•The evolution of consumer empowerment is described through four distinct sources.•We highlight technology's evolutionary role in the development of these power sources.•We uncover evidence of increased consumer power, supporting the premise of a power shift.•We also note a shifting balance of power, away from consumers and toward firms.•There exists a technology empowerment/disempowerment paradox.
The influence of food and beverage labeling (food labeling) on consumer behaviors, industry responses, and health outcomes is not well established.
PRISMA (Preferred Reporting Items for Systematic ...Reviews and Meta-Analyses) guidelines were followed. Ten databases were searched in 2014 for studies published after 1990 evaluating food labeling and consumer purchases/orders, intakes, metabolic risk factors, and industry responses. Data extractions were performed independently and in duplicate. Studies were pooled using inverse-variance random effects meta-analysis. Heterogeneity was explored with I2, stratified analyses, and meta-regression; and publication bias was assessed with funnel plots, Begg's tests, and Egger's tests. Analyses were completed in 2017.
From 6,232 articles, a total of 60 studies were identified, including 2 million observations across 111 intervention arms in 11 countries. Food labeling decreased consumer intakes of energy by 6.6% (95% CI= –8.8%, –4.4%, n=31), total fat by 10.6% (95% CI= –17.7%, –3.5%, n=13), and other unhealthy dietary options by 13.0% (95% CI= –25.7%, –0.2%, n=16), while increasing vegetable consumption by 13.5% (95% CI=2.4%, 24.6%, n=5). Evaluating industry responses, labeling decreased product contents of sodium by 8.9% (95% CI= –17.3%, –0.6%, n=4) and artificial trans fat by 64.3% (95% CI= –91.1%, –37.5%, n=3). No significant heterogeneity was identified by label placement or type, duration, labeled product, region, population, voluntary or legislative approaches, combined intervention components, study design, or quality. Evidence for publication bias was not identified.
From reviewing 60 intervention studies, food labeling reduces consumer dietary intake of selected nutrients and influences industry practices to reduce product contents of sodium and artificial trans fat.
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