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The authors' research examines how negative electronic word-of-mouth (e-WOM) alters focal customers' post-recovery justice perceptions and attitudes to determine their future behavior with the service provider. Specifically, this paper develops and tests a conceptual model to investigate how negative e-WOM alters focal customers' perceptual and attitudinal outcomes after the service recovery experience. It also examines the post-recovery effect of negative e-WOM on focal customers’ willingness to patronize the service after their recovery experience.

To test the hypotheses, two pretests and two experimental studies with created scenarios in the retail context were conducted.

The authors' findings reveal that services are judged during and well beyond failure and recovery occurrences. To maintain a loyal customer base, service managers should develop processes that address service complaints both within and beyond the service consumption stage. The authors also find that despite a favorable recovery, focal customers gravitate toward the failure experience and develop unfavorable attitudes toward the service provider, leading to likely defections.

The authors' research demonstrates the persuasive power of negative e-WOM at the post-service recovery stage, making a unique contribution to the service recovery literature. This research also contributes to the persuasive effect of negative e-WOM, demonstrating message context as a boundary condition of negative e-WOM effects. In general, the authors' work highlights the importance of understanding the psychological processes involved in eliciting the persuasive influence of negative e-WOM in the post-service recovery stage that may lead to the defection of “so-called” successfully recovered customers.

The purpose of this paper is to explore whether people’s intuitions regarding the social consequences of word of mouth (WOM) match the actual consequences. The authors investigate the expectations people have about how sharing WOM (positive or negative) will change others’ perceptions of them and then compare these expectations to the actual impact of WOM.

Six studies were conducted. Study 1 predicted how sharing their experiences with various products or services would change others’ opinion of them. Studies 2a/2b contrasted participants’ intuitions about the potential social consequences of sharing WOM with the consequences. Studies 3a/3b and 4a/4b tested for the hypothesized mediating mechanism. Studies 5a/5b focused on negative WOM and used participants’ own reviews to compare intuitions with impact. Study 6 explored whether considering one’s own consumption experience mitigates the negative social impact of WOM.

Consumers expect positive WOM to improve perceptions as it conveys only positive cues about the communicator (i.e. helping intentions and a positive personality). Negative WOM is expected to have neutral impact, as it conveys mixed cues (i.e. helping intentions but a negative personality). In contrast, the authors show that sharing negative WOM tends to be quite detrimental, whereas sharing positive WOM has little impact. People are largely unaware of these effects.

The research contributes to the literature on WOM and social transmission by comparing people’s intuitions about the social consequences of WOM with its actual consequences. The authors acknowledge that they used mostly WOM messages that were pre-written (vs spontaneously generated by participants). This may have constrained the generalizability of the results. Several potential moderators remain to be investigated, such as the role of message extremity, the interpersonal closeness between communicator and receiver, whether the WOM was solicited vs spontaneous, online vs offline, etc.

Greater effort is needed to raise consumers’ awareness about the gap between their expectations and the actual social consequences of WOM. Furthermore, marketers responsible for designing product review opportunities should be encouraged to provide consumers with more flexible options, such as the ability to easily remove an online review. Finally, consumers transmitting negative WOM in particular should be aware that their negative tone may compromise the persuasiveness of their message by making the receiver more vigilant and thus less receptive.

The authors are the first to directly contrast people’s intuitions about the social consequences of WOM with its consequences. Unlike the previous literature, the authors investigate people’s intuitions directly, and investigate the consequences of positive and negative WOM by comparing them to a neutral no-WOM condition. They also shed light on the specific personality traits people infer from WOM.

This study aims to examine the effects interpersonal, service product and message factors has on positive and negative word of mouth's (WOM) influence. The study also sought to address the impact WOM had on changes in people's willingness to use a service provider.

A total of 495 consumers who had received positive WOM and 505 who had received negative WOM in the prior 12 months completed an online survey. The sample was recruited through a national online consumer panel provider.

Positive WOM was more effective and positive WOM messages had a greater effect on people's willingness to use a service than did negative WOM. Paradoxically, the strength of WOM and interpersonal factors had more impact on the influence of negative WOM, while brand equity enhanced positive WOM and acted as a buffer to negative WOM.

The study was conducted in a services context and may not necessarily be generalizable to product contexts. Further, the factors enhancing WOM in online contexts need to be examined, although the present model's constructs (e.g. homophily) are not equivalent in this context.

Different circumstances may enhance or detract from the influence of positive and negative WOM. Managers should maximise the verbal strength of positive WOM messages and generate positive brand equity perceptions, as this offers a buffer to negative WOM. Recommendations also include addressing customer education and socialisation to enhance WOM message influence.

The study extended prior WOM research by addressing interpersonal, service product and message factors, as well as the change in intended behaviour for positive and negative WOM.

Many companies focus considerable resources on managing and enhancing positive word of mouth (WOM). WOM management, however, has become increasingly complex given the rise of online channels and the corresponding increasing breadth of connections giving and receiving WOM. Given the generally believed importance of WOM to business outcomes, managers seek to leverage key drivers that they believe will enhance positive and minimize negative WOM.

Implicit in these actions is the belief that leveraging key drivers to enhance positive (or minimize negative) WOM results in generally positive outcomes across channels and connections. This research investigates whether this belief is correct. We examined WOM behaviors from over 15,000 consumers from 10 different countries in eight industry categories, as well as consumer attitudes toward the various brands investigated. Our findings indicate that efforts to enhance positive WOM typically have mixed effects – enhancing positive WOM in some channels while decreasing it (or even enhancing negative WOM) in other channels. Therefore, managers need to have a greater understanding of the complexity of leveraging attitudinal key drivers when seeking to enhance WOM to minimize potential negative outcomes.

The purpose of this research is to investigate the effects of service recovery experiences on customer engagement in negative word-of-mouth (WOM) in the hotel industry and explore the psychological motives and mediating mechanisms driving consumer behavior.

A scenario-based experimental design on Qualtrics was used, with a pre-test (N = 200). The main study data were collected using Amazon's Mechanical Turk platform.

Findings reveal that negative service experiences lead to higher engagement in negative WOM compared to positive and satisfactory recovery service experiences. Even well-executed recovery efforts may not completely eliminate negative WOM. The mediating role of emotional responses is substantiated, as heightened negative service experiences result in more intense negative emotional responses, leading to increased engagement in negative WOM.

The study emphasizes the importance of service recovery strategies and the need for businesses to consistently strive for exceptional service quality. It also highlights the complexity of customer reactions to service experiences, suggesting that further research is needed to explore the factors that minimize negative WOM across various service contexts.

The purpose of this study is to explore how emotions felt by the public during a crisis influenced consumer loyalty intention and negative word-of-mouth (WOM). Considering the context-specific nature of emotions, the existing crisis emotions were further validated in a product consumption situation. Drawing on the theories of attribution and social sharing, a conceptual model, positing that crisis-specific emotions [attribution-independent, external-attribution-dependent (EAD) and internal-attribution-dependent (IAD) emotions] influenced negative WOM through behavioural intention, was constructed and empirically tested.

Data was collected from 240 Vietnamese consumers by using a scenario-based survey related to a fictional milk crisis.

The study findings showed that all but one crisis emotion had negative effects on both WOM and loyalty intention. Of these emotions, EAD and IAD were the strongest predictors of negative WOM and behavioural intention, respectively. It was also found that all crisis emotions significantly affected negative WOM through behavioural intention.

Although some efforts have been made to identify crisis emotions, the validity of the existing scales have not been affirmed in other crises related to product consumption situations. The results of the present study, thus, made contributions by enhancing an understanding of crisis emotions and their impacts on consumer loyalty intention and WOM communications.

Recent research on word-of-mouth (WOM) has presented consistent evidence on the importance of secondary WOM (sWOM) on online user-generated content (UGC) and on diffusion of positive and negative commercial information. The purpose of this paper is to investigate what motivates consumers to spread, via electronic WOM communication, negative information about commercial entities adversity using malicious verbal narratives. Based on concepts related to the joy of pain (schadenfreude) and gloating behavior the authors propose a set of hypotheses designed to test two key moderators (perceived deservingness and entity’s status) as well as the process of spiteful dissemination like content assimilation, dissemination time and duration.

The research consists on a series of four studies using different research methods (surveys and experiments) and a mix of quantitative and qualitative analyses.

Results show that actively communicating about others’ adversity (i.e. gloating behavior) provides an outlet to the passive observation of others’ adversity (i.e. schadenfreude feelings). Results indicate that schadenfreude and gloating are linked to the perceived deservingness of a commercial entity and entity status (the tall poppy syndrome). Results also show that malicious feelings and gloating behavior cause consumers to disseminate information more widely, more rapidly, for a longer period and frequently distort its content.

The findings contribute to literature on WOM by introducing an approach that highlights the potential negative effects of WOM on the dissemination of commercial information that might harm the relevant commercial entity’s reputation and goodwill.

This study illuminates the prevalence of negative rhetoric in WOM and supports the theory schadenfreude motives as a trigger for gloating behavior in the form of disseminating negative, malicious and intense WOM regarding commercial setbacks. This research is the first to examine and demonstrates that when it comes to WOM communication, schadenfreude feelings and gloating behavior might play a central role in the dissemination of negative information and the two constructs’ role in understanding infostorms, the sudden flow of large quantities of negative WOM using strong gleeful exultation. This study is the first to examine these phenomena in the business setting.

Word‐of‐mouth (WOM) marketing has become a key focus for many organisations. However, little research has sought to identify the dimensionality of WOM. The present research project aims to describe the development of a 12‐item measure that can be used to assess WOM at an individual message level for positive and negative WOM and among givers and receivers of WOM.

The research includes four studies, a qualitative focus group phase and quantitative phases involving surveys of over 2,000 consumers representing givers and receivers of positive and negative WOM.

Three distinct dimensions emerged. Two (cognitive content and richness of content) reflect the composition of the message, while the third, termed strength of delivery, reflects the manner of delivery. The scale has strong psychometric properties and was found to be generalisable in the four contexts – sending positive/negative messages and receiving positive/negative messages.

The authors addressed consumers' WOM messages solely in a one‐to one‐context. The results cannot automatically be extended to a variety of other media, which requires future research. Further, the authors did not test the measure in a goods context.

The scale has a variety of potential applications and can serve as a framework for further empirical research in this important area.

While much previous research on WOM relates to the sending of positive WOM, this scale has applicability across four WOM contexts, positive and negative giving and positive and negative receiving.

The purpose of this paper is to examine the influence of various sources of negative electronic word-of-mouth (eWOM) and negative personal word-of-mouth (pWOM) on trust in the Word-of-mouth (WOM), attitude toward the service provider and purchase intention.

Data were gathered from 336 Moroccan workers who responded to an online survey.

Results show that negative pWOM is more influential than negative eWOM in the form of written Facebook testimonials, written review site testimonials and written testimonials on a corporate website. However, there is a relative ranking of importance among eWOM sources, with review site testimonials found to be more influential than either Facebook or corporate website testimonials.

This work responds to a call for research on differences and similarities between pWOM and eWOM. The findings extend understanding of the relative influence of negative pWOM and negative eWOM.

The results of this study provide guidance to service marketers in terms of strategies for deflecting negative WOM and allocating service recovery resources.

This study is the first to compare the relative influence of negative pWOM and eWOM in service consumption.

Managers seeking to manage customer word-of-mouth (WOM) behavior need to understand how different attitudinal drivers (e.g. satisfaction, positive and negative emotion, commitment, and self-brand connection) relate to a range of WOM behaviors. They also need to know how the effects of these drivers are moderated by customer characteristics (e.g. gender, age, income, country). The paper aims to discuss these issues.

To investigate these issues a built a large-scale multi-national database was created that includes attitudinal drivers, customer characteristics, and a full range of WOM behaviors, involving both the sending and receiving of both positive and negative WOM, with both strong and weak ties. The combination of sending-receiving, positive-negative and strong ties-weak ties results in a typology of eight distinct WOM behaviors. The investigation explores the drivers of those behaviors, and their moderators, using a hierarchical Bayes model in which all WOM behaviors are simultaneously modeled.

Among the many important findings uncovered are: the most effective way to drive all positive WOM behaviors is through maximizing affective commitment and positive emotions; minimizing negative emotions and ensuring that customers are satisfied lowers all negative WOM behaviors; all other attitudinal drivers have lower or even mixed effects on the different WOM behaviors; and customer characteristics can have a surprisingly large impact on how attitudes affect different WOM behaviors.

These findings have important managerial implications for promotion (which attitudes should be stimulated to produce the desired WOM behavior) and segmentation (how should marketing efforts change, based on segments defined by customer characteristics).

This research points to the myriad of factors that enhance positive and reduce negative word-of-mouth, and the importance of accounting for customer heterogeneity in assessing the likely impact of attitudinal drivers on word-of-mouth behaviors.