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Prior research has advanced several explanations for social media influencers' (SMIs’) success in the burgeoning computer-mediated marketing environments but leaves one key topic unexplored: the moderating role of SMIs in service failure and recovery strategies.

Drawing on a social constructivist perspective and an inductive approach, 59 in-depth interviews were conducted with millennials from three European countries (Italy, France and the United Kingdom). Building on social influence theory and commitment-trust theory, this study conceptualises four distinct pathways unifying SMIs' efforts in the service failure recovery process.

The emergent model illustrates how source credibility and message content moderate service failure severity and speed of recovery. The insights gained from this study model contribute to research on the pivotal uniqueness of SMIs in service failure recovery processes and offer practical explanations of variations in the implementation of influencer marketing. This study examines a perspective of SMIs that considers the cycle of their influence on customers through service failure and recovery.

The study suggests that negative reactions towards service failure and recovery are reduced if customers have a relationship with influencers prior to the service failure and recovery compared with the reactions of customers who do not have a relationship with the influencer.

User-generated content (UGC) and service failure have attracted considerable marketing inquiry over the last two decades. Previous studies primarily focused on the outcome of service failure and the impact of UGC on perceived failure severity. This article departs from previous studies as it examines the moderating role of UGC on the relationship between service failure recovery (SFR) and customer–brand relationship.

Building on commitment-trust theory and from a phenomenological hermeneutical perspective, this article explores this phenomenon through the interpretation of 60 in-depth interviews with millennials from three European countries: Italy, France and the UK. An analysis of the data was conducted using a qualitative approach to understand the main constructs and relationships derived from the data.

This study conceptualises four distinct moderating characteristics of UGC in the SFR process: satisfaction with experience and brand, dissatisfaction with experience and brand, satisfaction with brand and dissatisfaction with brand. The insights from the responsiveness, empathetic response, counterfactual thinking and brand salience (RECB) framework contribute to research on UGC and shed light on the relationship between SFR and consumer–brand relationships in the fashion industry.

Overall, this study demonstrates that customer interactions with UGC significantly affect their responses to, and relationships with, a brand. The proposed framework opens up interesting avenues for future research on the moderating role of UGC on the relationship between SFR and customer–brand relationships.

This paper aims to explore the matching effect of hospitality brand image (cool vs non-cool) and service agents (Artificial intelligence [AI] vs human staff) on brand attitude, with a focus on assessing the role of feeling right as a mediator and service failure as a moderator.

This paper tested the hypotheses through three experiments and a Supplementary Material experiment, which collectively involved 835 participants.

The results indicated that the adoption of AI by cool brands can foster the right feeling and enhance consumers’ positive brand attitudes. In contrast, employing human staff did not lead to improved brand attitudes toward non-cool brands. Furthermore, the study found that service failure moderated the matching effect between service agents and cool brand images on brand attitude. The matching effect was observed under successful service conditions, but it disappeared when service failure occurred.

The findings offer practical guidance for hospitality companies in choosing service agents based on brand image. Cool brands can swiftly transition to AI, reinforcing their modern, cutting-edge image. Traditional brands may delay AI adoption or integrate it strategically with human staff.

To the best of the authors’ knowledge, this paper represents one of the first studies to address the issue of selecting the optimal service agent based on hospitality brand image. More importantly, it introduces the concept of a cool hospitality brand image as a boundary condition in the framework of AI research, providing novel insights into consumers’ ambivalent responses to AI observed in previous studies.

With the increasing use of robots in service scenarios in hospitality industries, service failure frequently occurs during the service process, and consumers may react differently toward humanoid vs. nonhumanoid robots due to different performance expectancies. This study focuses on consumers' reactions to service failures by humanoid vs. nonhumanoid robots and the different impacts on brand forgiveness and revisit intentions through performance expectancy for different genders.

The study used a sample of 280 participants to test the moderated chain mediation model. The participants were instructed to report their performance expectancies for humanoid/nonhumanoid robots and imagine a hotel check-in scenario in which a service failure occurs. Brand forgiveness, brand revisit intention and other demographic information were assessed.

The results show that consumers have higher performance expectancy for nonhumanoid robots. This performance expectancy generates brand forgiveness and revisit intentions for male consumers but does not affect female consumers' forgiveness and revisit behaviors.

This study contributes to the literature by taking a long-term perspective to investigate the outcomes after service failure, providing evidence for pending questions in previous studies and enriching studies of gender differences. Additionally, this study provides practical implications to consider the use of anthropomorphism in robots, advocate for functional confidence in robots and target consumers across genders.

Switching behavior is predominantly seen in the consumer buying behavior of the mobile industry. This research aims to identify the factors influencing consumers to switch from their present mobile service provider. The consumer of the mobile industry operates in a dynamic and ever-changing environment that is difficult to predict, so this paper aims to focus on these issues.

The selection of factors was made with the help of qualitative study and quantitative research methods for further findings; with the help of a structured questionnaire, a total of 514 valuable responses were collected to get the results. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the data.

The finding shows that technology and edge-on-competition (TEC) and pricing have a negative influence on customer switching behavior. The switching cost (SC) is the most significant factor and has a positive impact, while service encounter failure (SEF) also positively impacts switching behavior.

The findings provide important implications for consumers switching brands if they are finding alternative offers that are cost-effective and SEF from service providers

The study of one of the largest mobile markets is learning lessons for other markets around the world. This study will be helpful for mobile service provider companies in their branding and marketing strategies. This study will also be helpful to practitioners, educators and researchers in understanding the consumer behavior of mobile users.

The learning of the largest mobile market will be a great learning lesson for other mobile markets around the world. Consumer behavior will help marketers follow ethical practices and make their strategy so a consumer does not switch brands and remain satisfied with the existing brand.

The study provides unique learning for practitioners, educators and researchers to understand the consumer behavior of mobile users. This will help marketers create factors that stop consumers from switching brands and develop strategies to retain customers.

This study examines handmade clothing consumption as a means of self-expression by exploring the interrelationships between consumers' self-expression, brand love and word of mouth.

Using a descriptive research design, data were collected from 295 respondents in South Africa who posted about fashion on social media and who had bought handmade clothing in the 6 months prior to data collection. Structural equation modelling was used to examine the interrelationships between consumers' self-expression, brand love and word of mouth.

Brand love intervenes between consumers' self-brand connections and word of mouth about handmade clothing. More specifically, brand love strengthens positive word of mouth online and mitigates negative word-of-mouth intentions following a handmade clothing product failure scenario.

The study enlightens scholarly understanding of consumers' self-expression motivations for using ready-made handmade clothing that results in brand love and positive word of mouth.

Handmade clothing marketers who tap into consumers' self-expression and who can establish brand love among consumers can similarly create beneficial consumer–brand relationships.

Consumers often use handmade clothing for the purpose of self-expression, which provides subsequent spin-offs for brands in the form of brand love and positive word of mouth. Objective self-awareness theory provides a parsimonious lens to reveal the important role that brand love plays as a mechanism to explain the linkage of consumers' self-brand connections to word of mouth about handmade clothing.

Fashion brands are one of the strongest means of expressing consumers identity. This study explores and empirically validates the concepts of brand love and hate for masstige fashion brands from the purview of emerging markets. This study deciphers three components of masstige fashion brand promise through the lens of hedonic identity, uniqueness and expected social gains for the affluent middle-class consumers. The model is complemented by the impact of environmental and society’s well-being.

Empirical evidence was obtained through an online survey in India. Total of 222 complete responses were used to test hypotheses by fitting a model with the partial least squares algorithm.

Fashion brand love is triggered by consumers’ hedonic identity and expected social gains. Brand hate is fuelled by environmental and societal well-being concerns, expected social gains and uniqueness. Theoretical contribution is threefold: First, the relevance of social and environmental consequences reflecting consumers’ accepted responsibility for their masstige consumption is introduced. Second, the study deciphers the emotions related to masstige brand love and brand hate for emerging market’s affluent middle-class. Third, empirical results contribute to the ongoing discussion on whether brand hate and love are two distinct concepts or collapse to be two extremes of one and the same continuum.

Middle-class consumers in India are strict in their avoidance and rejection of the lower classes’ preferred fashion brands. Targeting must consider the social classes hierarchy. Marketing-mix design, particularly prices and distribution networks, need to enable a distinction between the social classes.

Masstige fashion brand love and hate turn out to be two distinct constructs that co-exist rather than being two extremes of one and the same dimension.

Indian middle-class consumers satisfy their need of environmental and social caretaking by avoidance and brand hate but continue to choose masstige brands to demonstrate social status and are not modernizing their traditional accumulative materialism.

When a company practices greenwashing, it violates consumers' expectations by deliberately deceiving them about their environmental practices or the benefits of their products/services. This study investigated the effects of greenwashing on corporate reputation and brand hate. Furthermore, this study explored the mediating effects of perceived environmental performance and green perceived risk.

A survey design using cross-sectional primary data from 420 Portuguese consumers who identified and recognized brands engaged in greenwashing was employed. The proposed hypotheses were tested using structural equation modeling techniques.

This study's findings show that consumer perceptions of greenwashing may damage brands. The results show that greenwashing has a negative effect on corporate reputation through perceived environmental performance and green perceived risk. Additionally, greenwashing has a positive direct effect on brand hate and a negative effect on green perceived risk. Therefore, reducing greenwashing practices can improve consumers' perceptions of corporate environmental performance, buffer green perceived risk, and ultimately enhance corporate reputation. This can lead to positive relationships with customers.

Based on signaling and expectancy violation theories, this study develops a new framework highlighting the detrimental effects of greenwashing on brands. The combination of these theories provides the right framework to understand how greenwashing may lead to extreme feelings like brand hate and negative perceptions of corporate reputation, thus advancing the current research that lacks studies on the association between these constructs.

Social media marketers are keen to understand how viewers perceive their brands on a platform and how the learning experiences from content can impact their attitudes toward a brand. This study aims to focus on examining the effect of firm-generated content (FGC) on X (formerly known as Twitter), using Kolb’s experiential learning theory to analyze the viewers’ learning process. In addition, the study investigates how the length of time a viewer follows a brand and the type of brand can influence their attitudes toward it.

This study involved three qualitative studies on X to investigate how content learning affects consumer attitudes toward two brands, namely, Nike and Subway. The study also examined the impact of the duration of following the brands, with participants following the brands for 4, 8 and 12 weeks, respectively, to assess changes in their attitudes.

The results demonstrate that content learning significantly impacts consumer attitudes. By following brands and engaging with their FGC over time, viewers can transition from being occasional or intermittent followers to becoming devoted brand enthusiasts. Through the four-stage experiential learning process, followers undergo cognitive, emotional and behavioral transformations that collectively shape their brand attitudes. The impact of content learning varies according to the brand type, and the duration of following has a positive effect on brand attitudes.

The study’s findings have significant marketing implications for social media marketers, suggesting that they should restructure their social media platforms as learning platforms to effectively engage followers. Companies should adjust their content marketing strategies from a learner’s perspective, providing followers with content that resonates with them, enhances their learning outcomes and helps shift their beliefs and brand attitudes, ultimately converting them into loyal consumers.

To the best of the author’s knowledge, this qualitative research is the first of its kind to apply experiential learning theories to investigate how users learn from FGC by following brands on social media and how this learning ultimately changes their brand attitude. The study provides a unique perspective on social media marketing, enriching the understanding of content marketing and consumer experiences on social media platforms.

This study aims to fill various gaps detected in the literature on mass prestige (hereafter referred to as masstige) theory. The originality of the work stems from the multidimensional application of Paul’s (2015) model, the introduction of brand addiction as a construct from the consumer-brand relationship (CBR) theory within the context of wines and the exploration of a new and less studied sector in masstige strategies.

A structured questionnaire was distributed to collect data from masstige wine brand buyers in Portugal, of whom 166 completed the questionnaire correctly. A conceptual model was developed and tested using partial least squares structural equation modelling.

The findings include that only two dimensions of Paul’s (2015) masstige scale affect brand addiction: brand knowledge and excitement and status. Brand addiction has a positive effect on brand loyalty and electronic word of mouth (eWOM), and brand loyalty has a positive impact on eWOM. Theoretical and managerial implications were explored.

This research added a CBR perspective to masstige theory and applied masstige theory to wine brands for the first time. These three distinctive aspects collectively contribute to the novelty and significance of the research, opening up exciting possibilities for future investigations and providing a valuable contribution to the academic community and the wine industry alike.