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The purpose of this paper is to examine how the perception of price‐value tradeoff is related to overall satisfaction, purchase intention, word‐of‐mouth advertising, and actual repurchase behavior.

Data on subscribers and single ticket buyers of a major symphony orchestra in the Midwest are used to test the hypotheses.

The ANOVA results show significant differences across the three levels of price‐value tradeoff in each of the response variables. Additional analyses of cross‐tabulated data show that some of the bivariate relations conform to, as well as depart from, the rational consumer behavior model.

Although the hypotheses are supported, bivariate relations examined in this study can mask or overstate true relations due to the omitted variables bias. Future research can explore reasons for favorable behaviors of consumers whose perception is that the value they receive is overpriced, and also for unfavorable behaviors of consumers whose perception is that the value they received is under‐priced.

The different niches at the edges provide opportunities for marketers to fine‐tune segmentation and marketing mix strategies. The use of standardized strategies for these niches with different perception and behavior linkages will yield suboptimal results.

While previous research has mostly focused on price‐quality linkages, this study extends the body of research by examining the perception of price‐value tradeoff and its relation to overall satisfaction, purchase intention, word‐of‐mouth advertising, and actual repurchase behavior. This adds to our understanding of post consumption behavior, showing how consumers respond to the perception of price‐value tradeoff.

The aim of this study is to investigate the influence of atmosphere on consumer emotions and wine purchasing behaviours to assist winery management in the development and communication of a strong positioning strategy. Studies in retail have indicated the importance of atmosphere in relation to consumer emotions and behaviours. Until now, limited evidence has existed on how the three dimensions of atmosphere may influence consumers visiting wineries.

The study consisted of surveys conducted in two stages. The first survey (n = 170) explored the factors applied in this study, and the second survey (n = 377) analysed the relationship between the atmosphere, emotions and consumer purchasing behaviours at wineries.

Findings indicated that atmosphere at a winery has the potential to positively influence consumer emotions and wine purchasing behaviours. Live music and the natural environment were particularly formative of atmosphere and consumer emotions and their subsequent wine purchasing while visiting the winery. The distinction allowed this study to analyse factors important for consumers to increase the time they spent at the winery.

The geographical location of the study is limited to one state in Australia.

In distinguishing between different consumer wine purchasing behaviours, drinking wine and buying wine, this paper contributed to three important intersectoral fields: wine tourism, atmosphere and consumer behaviour. Additional factors that contributed to consumer emotions and wine purchasing behaviours included live music and the natural environment at wineries.

This study aims to identify and analyse the interactions among drivers of anti-food waste behaviour at the consumer level. By understanding the mutual interactions among the drivers, an effort is made to identify the most driving and most dependent drivers through the total interpretive structural modelling (TISM) approach. Modelling offers inputs to propose focused interventions for reinforcing the identified drivers of anti-food waste consumer behaviour using the theoretical lens of social practices theory.

A proposed model of factors affecting anti-food waste behaviour is arrived at to suggest the most effective anti-food waste behavioural interventions. The factors were identified through an extensive literature search. A hierarchical structure of identified factors has been developed using TISM and MICMAC analysis through expert opinion. Focused marketing strategies towards promoting the identified factors for encouraging anti-food waste behaviour were suggested further.

This study identifies nine drivers based on extensive literature review, brainstorming and expert opinion. The TISM hierarchical model portrays the most important and least important drivers of household anti-food waste behaviour. It establishes that fundamental knowledge and socio-cultural norms are the most critical factors to drive the consumers. Marketers can focus on designing effective interventions to enhance the essential knowledge of the consumers and orient the socio-cultural norms towards anti-food waste behaviour.

This study offers implications for practitioners, policymakers and cause-driven marketing campaigns targeting anti-food waste behaviour. It provides an indicative list of critical factors relevant to household food waste behaviour, which can be used to drive effective marketing campaigns to nudge anti-food waste behaviours.

The proposed food waste behaviour management model was developed through modelling technique (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis, and relating them to marketing interventions is a novel effort in the food waste domain.

The purpose of the study is to examine the following two research objectives. The first was to examine the predictive relationships that consumer characteristics of financial literacy, thinking styles and self-control have with a consumer's financial behaviors. The second goal was to ascertain financial management products' ability to aid those consumers who need it the most by weakening the predictive effects of consumer traits on financial behaviors.

The study employed a web-based survey to gather information. The measurement and structural models were analyzed using generalized structured component analysis (GSCA), a component-based structural equation model. The mediation effect of self-control is assessed using the GSCA. The conditional mediation of demographic variables and use of personal financial management products are evaluated using multi-group analysis (MGA) in GSCA.

Antecedents, financial literacy, thinking styles and self-control consumer characteristics are predictors of financial behaviors. However, self-control plays a more prominent role as a mediator between the other variables, strengthening the overall relationship. Also, financial products can have a beneficial moderation effect assisting those consumers who need them the most.

These insights help in creating target specific financial literacy strategies to influence consumers' financial behaviors. Also, there is a need to develop mechanisms to influence a consumer's self-control and thinking styles to improve financial behavior. In conjunction with other initiatives, the impact of financial literacy has a greater effect on financial behaviors. Further, the insights assist financial institutions and financial technology firms in offering and creating products to help customers make better financial decisions and improve their financial behaviors.

The research addressed a significant global issue – consumer financial health. The Great Recession and the COVID-19 recession highlight the need to focus on the consumer and efforts to improve their financial health.

This research highlighted the mediating role of self-control and suggested that existing and future financial products can positively influence consumer behavior drivers.

This research aims to study the recent changes in consumer behaviour and purchase pattern during the Covid-19 pandemic. Covid-19 pandemic has forced consumers to stockpile, which has its own consequences. The article proposes the importance of “minimalism in consumption” to avoid greed in consumer behaviour.

The data are collected from consumers across India using an online survey during the first lockdown from March 2020 to May 2020. A simple random sampling technique is used for data collection, and the collected data are analysed using SPSS version 26.

The study states that there will be a shift in the purchase pattern of the consumers if lockdowns are imposed in the future or during any other crisis. However, at present, consumers have developed a stockpiling mentality fearing the unavailability of essentials.

Pandemic has stimulated a drastic change in consumer behaviour, which is a situational effect. Each crisis affects consumer behaviour in a different way. In this research, we have considered only fear, greed and anxiety in the light of Covid-19. On the other hand, the research intends to draw realistic conclusions based on consumers' experiences during the lockdown.

The study proposes solutions that will help marketers frame exclusive strategies for a future crisis. Analysing the change in consumer behaviour and the shift in purchase patterns will emphasize the importance of market research to know consumer expectations during a crisis situation in order to cater to their new demands.

Consumers who stockpile should realize the unavailability of goods to other consumers who are in need. They also have to understand the importance of “minimalism in consumption” during a crisis.

The data are collected during the most taxing crisis, the Covid-19 pandemic. Data are collected at the peak time of the first wave of Covid-19 in India, during a major shift in consumers' behaviour and purchase pattern. The article brings to the larger consciousness and also preaches a life lesson to all consumers to execute their responsibilities in consumption without over-demands and expectations.

The study examined the role of collective self-esteem (CSE), online communities, green attitudes and the influence of celebrities on green clothing involvement and consequently its impact on green clothing purchase behavior of Indian consumers.

A mix of convenience and random sampling was used for data collection via an online survey. The sample (n = 403) comprised consumers having awareness about green clothing. Structural equation modeling (SEM) was used for analysis.

Online communities, green attitudes and influence of celebrities predicted green clothing involvement and in turn their purchase behavior. CSE had no impact on consumers' green clothing involvement.

The findings can help green apparel manufacturers and designers to use celebrities and online communities to educate and promote the benefits of green clothing. Social media can be employed to share experiences and engage consumers about green clothing.

Since online networking sites are gaining predominance in influencing behavior, the study extends the earlier research on social influence by examining its role along with celebrities and CSE on green apparel involvement and purchase. The study combines celebrities, online communities and collective identity influences (offline and online) in predicting green clothing purchase in India.

This study aims to determine the number of segments of green consumer behavior on toiletries products, and the tendency of transition between clusters is estimated. This study also provides recommendations based on the results.

This study used primary data collected through an online and offline questionnaire. The questionnaire was intended to identify the socio-demographic characteristics, green consumer behavior state according to the environment as well as the willingness of the respondents to purchase various toiletries products (current, less green, and greener). Prior to segmenting green consumer behavior, scale purification using confirmatory factor analysis was performed to ensure the indicators used were valid. The k-means clustering algorithm was used for the segmentation, while discriminant analysis was used to validate the segmentation result. The Markov chain approach was performed to estimate the tendency of the transition between constructed segments, where the logistic regression model was applied to predict the individual transition probability.

The clustering algorithm resulted in three segments: light green, green and dark green. The light green segment has the lowest attitude toward the environmental criteria while the members of the dark green segment have the highest attitude among the other segments. The logistic regression indicated that the tendency of individuals to stay in the current segment or move to the adjacent segment was influenced by socio-demographic factors. The one-step transition probability matrix revealed that the tendency of a particular segment to move to the greener segment was greater than to stay or even move to the less green segment. The Markov chain approach then showed that the steady-state condition will emerge after 18 steps.

This study was limited geographically and by the criteria used for segmenting the green consumer behavior; therefore, it is recommended that this study be replicated on a greater scale with more criteria. A wider geographic area could be considered, including a national study, and more criteria, such as social influences, could be considered. This study does not focus on specific toiletries products. Selecting more specific toiletries products could be considered to provide a more reliable response from the respondents. Moreover, factors around the willingness to pay for green products were not investigated in greater detail although these factors might become indicators that can distinguish between two or more segments.

This study empirically supports the theory that consumer environmentally friendly behavior can be used to appropriately categorize consumers into several segments, and thereby guide the development of a more differentiated policy approach for business and government.

Green consumer behavior may help save the environment and it will be beneficial in reducing environmental damage.

The study extends the existing literature related to green consumer behavior by segmenting the green consumer behavior based on the environmental criteria and applying the Markov chain approach to estimate the tendency of transition between segments.

As a crucial counter-equivalent to business ethics, consumer ethics has emerged as a promising research domain for practitioners and academicians alike. Despite its pertinence for both industry and academia, little is known about the existing state of consumer ethics research. To address this limitation, a systematic literature review was conducted to identify key research themes, gaps in the extant literature and set the agenda for future research.

This literature review is based on a sample of 81 research articles drawn from Scopus and EBSCO host databases and analysed on different classification bases, covering a period from 2004 to 2019.

The results reveal that pro-social behaviour has gained recent attention in consumer ethics research. Moreover, there has been a renewed focus to understand and mitigate the attitude–behaviour gap in ethical consumption. The authors also found that majority of the studies have been conducted in Europe and North America, in a single country context.

Consumer ethics has significant economic and social consequences worldwide. Consumer ethics insights can help marketers and practitioners to devise strategies that minimize business losses due to unethical consumer behaviour, incentivize ethical consumption and align corporate social responsibility initiatives that draw consumer support.

To the best of our knowledge, this is the first major (systematic) review on consumer ethics after Vitell’s review of 2003. This review provides valuable directions for future research to carry this domain forward.

Consumer engagement has become a critical component to many brands' relationship and promotional efforts. Empirical studies have documented the psychological elements that can drive consumers to engage with brands. However, there is a knowledge gap regarding how consumer engagement is influenced by the social environment consumers are embedded in. Taking an egocentric network approach, this study explores the social network factors that affect different dimensions of consumers' online engagement behaviors with a brand.

An online survey with an egocentric network design was employed, and 263 completed responses were collected from college students in US. The dimensionality of consumer engagement was validated using exploratory factor analysis. The hypotheses were tested through three sets of hierarchical regression models.

The results suggest that consumer engagement with a brand was partially shaped by the attributes of consumers' brand discussion networks that emerge from their conversations about a brand with others in everyday life. Specifically, the size, heterogeneity, and density to consumers' discussion networks were associated with certain engagement behaviors.

This study introduces a novel type of network method known as egocentric network analysis to explore and investigate the social network antecedents to consumer engagement behavior. It advances the conception of consumer engagement as a dynamic process influencing and is influenced by consumers' social interactions rather than merely a product of their psychological mechanisms. The study contributes to a social network approach to examining and conceptualizing consumer engagement.

This study examines consumer online purchase behaviour in the Nigerian fashion industry.

A cross-sectional study was conducted with a total useable sample size of 241 respondents contacted through on-site visitation. Descriptive and inferential statistics were used to test the influence of customer value on online purchase behaviour in the fashion industry.

Consumer values are categorised into terminal (happiness, love and satisfaction) and instrumental (time-saving, price-saving discount, service convenience and merchandise assortment) values. The findings show that both values have significant influence on online consumer purchase behaviour, while fashion consciousness moderates the relationship between consumer values and online purchase behaviour.

Online fashion retailers should focus on increasing the terminal and instrumental values of their products and making available goods that meet the needs of different generational cohorts in society.

Studies have examined various factors, for example, consumer values that are determinants of consumer online purchase in the fashion industry; however, there has been limited focus on the nature of fashion and online purchasing in emerging markets, particularly those in Sub-Saharan Africa.