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Engaging in webcare, i.e. responding to online reviews, can positively affect consumer attitudes, intentions and behavior. Research is often scarce or inconsistent regarding the effects of specific webcare strategies on business performance. Therefore, this study tests whether and how several webcare strategies affect hotel bookings.

We apply machine learning classifiers to secondary data (webcare messages) to classify webcare variables to be included in a regression analysis looking at the effect of these strategies on hotel bookings while controlling for possible confounds such as seasonality and hotel-specific effects.

The strategies that have a positive effect on bookings are directing reviewers to a private channel, being defensive, offering compensation and having managers sign the response. Webcare strategies to be avoided are apologies, merely asking for more information, inviting customers for another visit and adding informal non-verbal cues. Strategies that do not appear to affect future bookings are expressing gratitude, personalizing and having staff members (rather than managers) sign webcare.

These findings help managers optimize their webcare strategy for better business results and develop automated webcare.

We look into several commonly used and studied webcare strategies that affect actual business outcomes, being that most previous research studies are experimental or look into a very limited set of strategies.

The purpose of this research is the exploration of online complainants' revenge based on their consumer-brand relationship strength and received webcare. The authors introduce inter-failures (i.e. the perceived number of earlier independent service failures that a customer has experienced with the same brand involved in the current service failure) as the central frame condition.

To test our hypotheses, both a scenario-based online experiment (n = 316) and an online survey (n = 492) were conducted.

With an increasing number of inter-failures, online complainants with a high-relationship strength move from the “love is blind” effect (no inter-failures) to the “love becomes hate” effect (multiple inter-failures), when they ultimately become more revengeful than their low-relationship strength counterparts. In addition, the authors show that in the case of no or few inter-failures, accommodative webcare has a lasting positive effect over no/defensive webcare for both low- and high-relationship complainants. More importantly, however, when consumers have experienced multiple inter-failures, accommodative webcare becomes ineffective (for low-relationship complainants) or boomerangs by cultivating revenge towards the brand (among high-relationship complainants), but not strategic avoidance.

The findings have pronounced implications for the literature on customer–brand relationships following service failures and the literature, which predominantly emphasizes the unconditionally positive effects of accommodative webcare.

This study is the first that simultaneously considers the prior customer–brand relationship, inter-failures and webcare to explain online complainants' revenge.

Since public sector organizations provide services to citizens but struggle with poor perceptions of their functioning, it is valuable to examine how their online responses to complaints on social media could impact their reputation. Yet, surprisingly little is known about effects of public organizations' webcare. Therefore, this study assesses the impact of the webcare's tone, response strategy and user's involvement on participants’ continuance intention and perceptions of reputation.

Two experimental studies (Study 1: N = 424; Study 2: N = 203) with an interval of one week were carried out to assess the effects of singular and repeated exposure to webcare by a Dutch public transport organization on the participants' continuance intention and perceived organizational reputation. Study 1 examined the effects of the webcare's tone (corporate vs conversational human voice (CHV)) and response strategy (accommodative vs defensive); Study 2 contained tone of voice and user's involvement (observer vs complainer). The effects of repeated exposure to the webcare's tone were also examined.

The results indicate that perceptions of CHV in webcare contribute to webcare as reputation management tool, since it leads to immediate higher reputation scores that also remain stable after repeated exposure. Furthermore, people's continuance intention increased after repeated exposure to webcare responses that were perceived as CHV, thus a natural and engaging communication style, indicating this is an effective strategy for customer care as well. No substantial impact was found for response strategy and user's involvement in the complaint handling.

The novelty of this study is that the authors assess the effects of the webcare's tone combined with response strategy and user's involvement in a public sector context with a sector-specific conceptualization of reputation and continuance intention measured after singular and repeated exposure to webcare.

Keeping in mind the growing significance of online reviews, management of responses to the customer reviews – webcare – is becoming important in recent times. How a firm responds to online reviews can send a signal to the readers of the reviews contributing to their brand evaluations. From a strategic perspective, a firm should decide if they should respond to all reviews or respond to only a select few reviews. This study aims to provide an understanding of how exhaustive and selective webcare influence brand evaluations. It also explores the role of review balance and review frame, which potentially act as moderators, on such influences.

Three scenario-based experiments were used to manipulate the webcare strategy (exhaustive-selective) and the potential moderators (review balance and review frame). The 910 participants of the single-stage experiments were identified using an online panel managed by UK-based Prolific Academic.

Exhaustive webcare is found to be the most effective strategy for influencing brand evaluations in all conditions. Also, two interesting results were found, which can have practical implications. A selective negative strategy is as effective as an exhaustive webcare in almost all cases, and a selective positive webcare is as good as not having a webcare in nearly all cases. Changes in webcare effectiveness due to the influence of review balance and review frame were established.

With the review reader perspective and focus on brand management, this study may trigger enquiries into effects of webcare strategies on brand evaluations and other outcomes such as word-of-mouth. The interaction effects of the various strategies adopted together on brand evaluation and loyalty have not been explored and would be of interest to academicians and managers.

Firms need to plan a careful resource deployment while responding to the online consumer reviews as responding to a select few reviews may yield the same effects as that of exhaustive webcare. Brand managers may find responding only to positive reviews futile, as it could be as good as having no webcare. Also, the strategy of responding to reviews needs to be adapted based on the online review platform where the set in which the review is read is different.

This is one of the few studies focusing on the effects of webcare on brand evaluations from a review reader perspective as against the dominant reviewer perspective. This research also presents hitherto unexplored effects of an exhaustive-selective webcare strategy on brand evaluations.

This paper aims to demonstrate that online complainants’ reactions to a company’s service recovery attempts (webcare) can significantly vary across two different types of dissatisfied customers (“vindictives” vs “constructives”), who have dramatically diverging complaint goal orientations.

Online multi-country survey among 812 adult consumers who recently had a dissatisfying brand experience and turned to a marketer-generated social media site to voice an online complaint for achieving their ultimate complaining goals. Scenario-based online experiment for cross-validating the survey findings.

Results suggest that “vindictive complainants” – driven dominantly by brand-adverse motives – are immune to any form of webcare, while “constructive complainants” – interested in restoring the customer-brand relationship – react more sensitively. For the latter, “no-responses” often trigger detrimental brand-related reactions (e.g. unfavorable brand image), whereas “defensive responses” are likely to stimulate post-webcare negative word-of-mouth.

This research identifies the gains and harms of (un-)desired webcare. By doing so, it not only sheds light on the circumstances when marketers have to fear negative effects (e.g. negative word-of-mouth) but also provides insights into the conditions when such effects are unlikely. While the findings of the cross-sectional survey are validated with an online experiment, findings should be interpreted with care as other complaining contexts should be further investigated.

Marketers have to expect a serious “backfiring effect” from an unexpected source, namely, consumers who were initially benevolent toward the involved brand but who received an inappropriate response.

This research is one of the first research studies that enables marketers to identify situations when webcare is likely to backfire on the brand after a service failure.

This paper aims to explore the effects of webcare content type and webcare source credibility on perceived fairness, in the presence of reputation of a reviewer as a moderator.

The experiment used a 2 (Webcare content type: Specific vs Vague) × 2 (Webcare source credibility: High vs Low) × 2 (Reviewer reputation: Good vs Bad) between-subjects design. ANOVA was used to test the hypotheses.

A significant main effect and interaction effect of independent variables was found on perceived fairness. The moderating role of reviewer reputation was also found significant in the relationship between content type and perceived fairness. However, reputation of the reviewer did not moderate the relationship between webcare source credibility and perceived fairness.

Marketers should respond to negative reviews by paying attention toward review and webcare attributes highlighted in the paper because doing so might satisfy the consumer.

This paper attempts to study a combination of webcare and review characteristics together on consumers' perceptions of fairness.

The purpose of the paper is to examine the conditional role of webcare as a service failure recovery strategy on customers’ hotel booking intentions in presence of different levels of observed severity and review agreement. Furthermore, the study also examines the mechanism through which webcare can shape the adverse effect of observed severity and review agreement on hotel booking intentions.

A 2 (severity: high or low) × 2 (agreement: high or low) × 2 (webcare: webcare or no webcare) between-subject experimental design was conducted to collect responses. Analyses of variance and moderated mediation analysis were performed to analyze the study data.

Prospective customers who observed high severe service failure from a review reported less booking intention. Further, customers’ observed agreement strengthened these behaviors, i.e. customers who are exposed to high severe service failure in high-agreement condition reported low booking intention, as compared to those who exposed to low review agreement condition. Furthermore, results supported the fact that use of appropriate webcare plays a significant role to shape or mitigate the negative effect of severity and agreement on hotel booking intentions via perceived trust.

This is the first in its stream of studies that examined how webcare can be used to tackle the adverse effects of observed severity and agreement, so that perceived trust would be formed to create hotel booking intention.

This study aims to examine the relationship between marginalization, Web presence and firm performance for small- and medium-sized enterprises (SMEs).

This study relies upon interviews and surveys of managers and/or owners of SMEs. Using confirmatory factor analysis and structural equation modeling, the authors tested an integrated model of the relationship between marginalization, Web presence and firm performance.

Findings indicate that marginalization enhances the risk perceptions entrepreneurs assign to internet use. This enhanced risk perception then limits the extent to which an entrepreneur responds to online customer feedback, which has implications for the SME’s relationship and reputation management efforts with buyers, ultimately impacting the enterprise’s performance.

This study sheds light on the overlooked phenomena of marginalization and internet avoidance among entrepreneurs. The findings provide insight for entrepreneurs on the deleterious consequences associated with lacking an online presence.

Research into the dark side of online brand-managed communities (OBCs) and, specifically, consumer-to-consumer (C2C) conflicts within this context are scarce. This paper aims to explore the different forms of C2C conflicts in OBCs, measure their direct impact on observing consumers and brands and investigate their appropriate moderation by exclusively focusing on two actors: brands versus consumers.

This research adopts a sequential exploratory approach. First, the authors capture different forms of C2C conflict via netnographic observations of five brand-managed communities. Second, the identified forms of C2C conflict are used in an online experiment to examine their impact on OBCs’ social and commercial outcomes. Third, further two online experiments were used to assess how brand versus consumer conflict moderators impact perceived credibility and conflict de-escalation.

The authors uncover three prominent forms of C2C conflict based on whether conflict occurs between supporters, non-supporters or outsiders of the OBC. The authors further show that these affect consumers’ engagement behaviours and emotional responses, while brands suffer from diminished credibility and could be targets of unfavourable electronic word-of-mouth. Finally, for managing C2C conflict, the findings confirm that brands are perceived as more suitable, while under certain conditions consumers can also be viewed as appropriate moderators.

This research used a range of participant self-selected brands and is limited to brand-managed (as opposed to consumer-managed) communities on Facebook. While beyond the scope of this paper, the dynamics for consumer-managed communities may differ.

This article offers guidance to marketing practitioners on the different nuances of undesirable consumer interactions in brand-managed communities on social media, their impact on customer engagement and brand perceptions and when/whether brands or consumers may be suited to moderating these.

This paper makes novel contributions to the literature on consumer (mis)behaviours and OBC management. The findings are among the first, to the best of the authors’ knowledge, to examine the direct social and commercial consequences of C2C conflicts and to provide comparative insights into the appropriateness of two different moderators in OBCs.

Venting negative emotions on social networking sites (SNS) has become a growing phenomenon among dissatisfied customers. Drawing on social cognitive theory (SCT), the purpose of this paper is to explore the effects of personal outcome expectations and computer self-efficacy on the posting of negative behavior and its impact on venting negative emotions on SNS.

Structural equation modeling was conducted, and 342 dissatisfied customers in Taiwan made up the sample.

This study found that both personal outcome expectations and computer self-efficacy positively affect the posting of negative behavior, which increases the effect of venting negative emotions. Moreover, gender moderates the relationships between the variables in the proposed model.

A bias may exist because sampling was conducted through an online survey on a specific website. This study extended the SCT model by adding the effect of venting negative emotions to the original model and suggested that researchers take gender into consideration when developing consumer complaint theories.

This study suggested that service providers need to detect negative statements and take action before these statements lead to switching behavior among dissatisfied customers. Moreover, “webcare” is recommended as an effective tool to counter negative comment effects among those exposed to complaints on SNS.

This study advanced the understanding of SCT for dissatisfied customers posting negative experiences in the context of SNS.