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Building on disconfirmation theory, equity theory and affect‐balance theory, considers antecedents to satisfaction with service recovery. A theoretical model is proposed and tested empirically based on a cross‐sectional national sample of 201 dissatisfied customers complaining of services. The results suggest that perceived performance of service recovery has an impact on equity. Second, disconfirmation of expectations of service recovery and perceived fairness of outcome of service recovery have an impact on satisfaction with service recovery. Finally, negative affect caused by the initial service failure does not have an impact on satisfaction with service recovery.

To do an empirical assessment of the psychometric properties of an instrument that captures the multi‐dimensional nature of satisfaction with service recovery (RECOVSAT) using data (post‐recovery satisfaction ratings) from customers who have actually complained to a service firm.

The methodology is a survey of bank clients who have lodged complaints with a retail bank.

The empirical results suggest that a refined and shorter version of RECOVSAT demonstrates excellent construct validity when used to measure the post‐recovery satisfaction of complaining customers.

RECOVSAT is a valid and reliable instrument that can and should be used by service managers to assess customer satisfaction with their service recovery efforts. Failure to ensure that complaining customers are satisfied with the firm's service recovery efforts, can only lead to serious problems, as the service firm will be letting the customer down for the second time.

Practitioners or service firms can use their customer complaint database to calculate satisfaction with service recovery scores (RECOVSAT scores) for different geographical regions, for different business units or different departments, even per individual employee. These scores can even be linked to remuneration or service level agreements.

First study to empirically assess the psychometric properties of an instrument that captures the multi‐dimensional nature of satisfaction with service recovery using data (post‐recovery satisfaction ratings) from customers who have actually complained to a service firm. Confirmed validity and reliability.

The primary objective of this study is to investigate the effects of service recovery on customer satisfaction. Specifically, it examines the perception of “justice” in service recovery and how it affects the level of satisfaction and behavioral outcomes. In addition, the study also explores whether the “recovery paradox” exists.

Data were collected through a survey using a structured questionnaire. The 428 respondents were analyzed according to whether they did or did not make a complaint to the service providers.

The findings showed that the complainants' level of satisfaction with service recovery was significantly affected by perceived justice. The behavioral outcomes of the complainants in terms of trust, word‐of‐mouth (WOM) and loyalty were also found to be affected by their satisfaction with the service recovery. T‐tests confirmed that the levels of trust, WOM and loyalty were significantly higher for those respondents who were satisfied with the service recovery compared with those who were dissatisfied. Further t‐tests also indicated that respondents who were initially satisfied with the service expressed greater trust and positive WOM compared with the satisfied complainants. Finally, the study showed that dissatisfied complainants would exhibit a lower level of trust and were more likely to engage in negative word‐of‐mouth behavior compared with those who were dissatisfied initially but chose not to complain.

The findings in this paper confirmed the importance of perceived justice in service recovery. Satisfaction with service recovery also leads to a higher level of trust, positive word‐of‐mouth behavior and, to a lesser extent, the level of loyalty. Finally, the lack of support of the “recovery paradox” effect suggests that successful service recovery alone would not bring customer satisfaction to pre‐service failure levels. It is therefore essential to provide service right at the first time.

This is a new study on the service provided by mobile phone service providers in an Asian environment. It also reinforces the important of perceive justice in service recovery and debunks the existence of the “recovery paradox” effect.

This study aims to identify the factors of service recovery strategy that affect customer satisfaction. In addition, this study aims to explore the relationship between consumer satisfaction with service recovery and electronic word of mouth (e-WOM) in the online context.

A self-administered questionnaire is designed and administered through an online survey. This study evaluates the proposed framework through structural equation modeling with online survey data from 425 samples in the context of online buying.

The results show that explanation, effort, response speed, problem-solving and apology are the components predicting service recovery strategy. These factors have impacts on customer satisfaction with service recovery and also generate e-WOM about service recovery experiences. This study significantly contributes to not only practical insights but also the expansion of expectation confirmation theory and social exchange theory regarding online service failures.

Samples from non-internet shoppers are not collected because this study focuses on consumers referring to purchase online. Testing this conceptual model for other populations, such as non-online consumers, including the moderating effect of gender, age and education on the relationships proposed in the model may be an interesting extension. Moreover, this study does not distinguish different types of online retailers.

This study highlights the significant effect of customer satisfaction with service recovery on e-WOM. That is, managers should focus on not only making customers satisfied with their initial purchase but also enhancing customer satisfaction with service recovery in case the service failure occurs to encourage positive interaction among customers. This case will also improve the organizational image of a firm.

This study contributes to the identification of service recovery actions that focus on the roles of employees in dealing with service failures and their impacts on customer satisfaction in the online shopping context. In addition, the findings provide a greater understanding of the importance of customer satisfaction on e-WOM.

By expanding on the work of White and Yanamandram (2007), the purpose of this paper is to examine the direct and indirect influences of switching barriers on the relationship between recovery satisfaction and repurchase intentions in an online auction environment.

Data were collected from 272 customers who had experienced online service recovery in the past six months. Partial-least squares and mediated moderation analysis are employed to test the research model.

The interrelationships among recovery satisfaction, relationship quality, and repurchase intentions are confirmed. Both lost benefit switching costs and inertia moderate the relationship between recovery satisfaction and repurchase intentions. Attractiveness of alternatives mediates the moderating effect of inertia on the relationship between recovery satisfaction and repurchase intentions.

Unlike previous studies, which have treated switching cost as a switching barrier, or used various components to represent switching barriers, this study incorporates switching cost, relationship quality, inertia, and attractiveness of alternatives as four switching barrier factors. This study further examines the direct and indirect effects of switching barriers on the relationship between recovery satisfaction and repurchase intentions.

The purpose of this paper is, first, to analyze the direct effects of the relationship chain “causal attributions and recovery efforts → satisfaction with service recovery → conventional and online word-of-mouth intentions” and, second, to study the moderating role of age in the relationship between satisfaction and subsequent word-of-mouth. Consumer assessment and behavior associated with service recovery is a topic of considerable interest for both academics and practitioners.

From an empirical perspective, this paper uses a sample of 336 individuals who experienced service failure at a retail store to estimate a structural equation model. Additionally, a multigroup analysis allows testing the existence of a moderating effect of age on the hypothesized relations.

Results allow to confirm the direct effects of causal attributions and recovery efforts on satisfaction with service recovery, and the impact of the latter, in turn, on conventional and online word-of-mouth intentions. Furthermore, the multigroup analysis reveals that age moderates the relationship between satisfaction and online word-of-mouth.

In service recovery situations, retailers should concentrate their efforts at providing evidence of the failure as temporary and inevitable as well as offering material or economic compensation.

This paper contributes to the identification of the most relevant variables influencing customer satisfaction with service recovery in a retail context. In addition to this, these results provide support to the importance of age on online word-of-mouth behavior.

This study investigated distributive justice (DJ), procedural justice (PJ) and interactional justice (IJ) in the recovery of service in the hotel industry as well as their effects on post-recovery satisfaction and the subsequent behavior of customers. This study also sought to elucidate the moderating effects of star ratings on these influences.

A field experiment design with 424 consumers using structural equation modeling was adopted to test the study hypotheses.

DJ, PJ and IJ were all shown to have a significantly positive effect on post-recovery satisfaction, which in turn has a significantly positive effect on customer loyalty and significantly negative effect on customer defection. Analysis on the moderating effects of star ratings also revealed that the relationship between DJ and post-recovery satisfaction during recovery efforts is stronger for hotels with higher star ratings than for hotels with lower star ratings. During recovery, post-recovery satisfaction was shown to be more effective in reducing customer defection from hotels with lower star ratings than from hotels with higher star ratings.

This study provides a reference by which hotels can match their service recovery mechanism to their star rating to retain customers and increase customer loyalty in the event of service failure.

This study confirms the importance of IJ in the service recovery processes in the hotel industry and provides verification that the star rating of a hotel plays a crucial role as a moderator between recovery effort and recovery effectiveness.

The internet has changed the way services are delivered and has created new forms of customer-firm interactions. Whilst online service failures remain inevitable, the internet offers opportunities for delivering efficient service recovery through the online channel. Notwithstanding, research evidence on how firms can deliver online service recovery remains scarce. The purpose of this paper is to investigate the impact of two online service recovery strategies – online information and technology-mediated communication – on customer satisfaction, switching and word of mouth intentions.

A scenario-based experiment is employed. Data are analysed using partial least squares structural equation modelling.

Online information and technology-mediated interactions can be used as online service recovery strategies. When fair, online service recovery can restore customer satisfaction, lower switching and enhance positive word of mouth. Interactional justice delivered through technology-mediated communication is a strong predictor of satisfaction with online service recovery. Yet, customers in subscription services show greater expectations of online service recovery than those in non-subscription services.

Further research could examine the impact of online service recovery on relational constructs, such as trust. Since customers participate in the online recovery process, future research could investigate the role of customers as co-creators of online service recovery.

Service managers should design online recovery strategies that meet customer need for interactional justice, for example, bespoke e-mails, and virtual chat communications with genuine customer care.

Online information and technology-mediated communication function as online service recovery strategies. Customer perceptions of justice towards online service recovery restore satisfaction, and encourage loyal behaviour.

Research has shown that more than half of attempted recovery efforts only reinforce dissatisfaction, producing a “double deviation” effect. Surprisingly, these double deviation effects have received little attention in service marketing literature. To fill this gap, this paper aims to develop and empirically test a model of how customers form satisfaction judgments in double deviation scenarios. The paper seeks to propose that emotions have a distinct and separate influence from perceived justice in explaining satisfaction with failed recovery.

The paper employs the critical incident technique to obtain data from banking customers and apply latent variable path analysis to test the proposed model.

The results of the study support the model and highlight the important role of specific recovery‐related emotions in double deviation contexts.

Future research should try to determine whether different specific negative emotions and/or the interactional and procedural components of justice affect post‐recovery judgments in double deviation scenarios.

The results show that specific emotions such as anger play an important role in explaining satisfaction with service recovery. The paper proposes that in future, customer satisfaction surveys could include items measuring specific emotions. This could increase their efficiency as managerial tools.

To the authors' knowledge, this has been the first attempt to model the effect of specific emotions triggered by the service recovery on satisfaction with service recovery and to empirically test a model of satisfaction with service recovery in double deviation scenarios. Furthermore, this study is based on the analysis of real service failures and recovery strategies.

Given the increasing importance of relationship management in service recovery encounters, this study aims to investigate the role of consumer–organization relationship norms (communal versus exchange) in connection with the service recovery process.

Based on a thorough review of the previous literature, the model was developed. Using a scenario-based survey method, a total of 204 usable responses were obtained via self-administered questionnaires in the USA. Anderson and Gerbing’s two-step approach was used to assess the measurement and structural models.

The findings indicate that consumers’ recovery processes are influenced by relationship norms. For consumers in the communal relationship, perceived social recovery had a greater influence on satisfaction with the service recovery. Consumers in the exchange relationship reacted more sensitively to perceived economic recovery in terms of satisfaction with the service recovery.

The focus of this study is restaurant consumers’ responses to service recovery in the context of an established relationship. Therefore, the results may not be generalizable for other consumers and segments.

The findings have important implications for increasing the understanding of consumer behavior in established relationships and suggesting effective recovery strategies.

This study investigates the effect of different relationship norms that could explain varying consumer responses to service recovery within a high-quality relationship. It also provides directions for improving consumers’ satisfaction with service recovery. This differs from previous studies that mainly focused on relationship quality.