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This paper reports on a study investigating key attributes of service recovery strategies in internet shopping mall. In theses day, service recovery has received important attention in the service operation management literature. Service recovery involves those actions designed to resolve problems, alter negative attitudes of dissatisfied consumers and to ultimately retain these customers. The study examined that service recovery strategies (apology, compensation) impact on the customer satisfaction. And customer satisfaction impacts on customer loyalty with SEM (Structural Equation Modeling). This study can be used a strategic implication for internet shopping mall managers to develop successful service recovery strategies.

Customer participation (CP) in service recovery is one of the ways to co-create value with the service provider. Most existing studies assume that customers are willing to participate in service recovery, provided the firm offers them the opportunity. In this study, the authors propose the construct named customer intention to participate in service recovery (CIPSR), develop a scale for it and argue that it is not always implicit but rather is dependent on the consumer's perceived control.

A multi-method approach was used with a combination of qualitative interviews, literature review, unaided dimension identification, correspondence analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modelling to develop the CIPSR scale. The authors used structural equation modelling to test the proposed effect of perceived control on CIPSR.

The study proposes a four-dimensional scale for CIPSR. The authors also found support for the effect of perceived control on CIPSR, with anxiety and failure controllability attribution as intermediate variables.

This study develops a comprehensive scale to measure CIPSR using a rigorous multi-method technique, as well as establishes its importance in the existing literature.

This paper aims to discuss the effect of frontline employees' emotional labor (surface acting vs. deep acting) on customer satisfaction and the moderating role of responsibility attributions in the situation of robot service failure.

The scenario-based experimental method was designed to perform hypothesis testing and SPSS was used to analyze the data from the 363 questionnaires collected.

The results indicate that (1) employees' emotional labor recovery has a double-edged sword effect. Deep acting improves customer satisfaction, while surface acting undermines the effectiveness of service recovery and leaves customer satisfaction below previous levels. (2) Customers' responsibility attributions for service failure moderate the effect of service recovery.

To the best of the authors’ knowledge, this is the first study to focus on the role of frontline employees' emotional labor in robot service failure contexts, which not only enriches and expands the relevant literature in this domain, but also deepens the understanding of how emotional labor and responsibility attribution effect the customer satisfaction.

Drawing on justice theory, this study aims to investigate the determinants and consequences of post-recovery satisfaction in a business-to-business (B2B) sales environment. In addition, customer demandingness is used as a moderator in this study to assess the relationship between distributive justice (DJ), procedural justice (PJ) and interactional justice (IJ) and post-recovery satisfaction.

A conceptual framework was developed by testing five hypotheses based on data collected from 337 salesperson–customer dyads.

The findings of this study reveal that DJ, PJ and IJ are positively linked with post-recovery satisfaction. In addition, post-recovery satisfaction negatively impacts customer distrust. On the contrary, customer distrust positively influences value co-creation behavior and has a negative impact on trusting intention. Finally, the customer’s level of demandingness significantly and positively moderates the linkage between the dimensions of justice perception and post-recovery satisfaction.

Despite extensive literature on distrust, a research model that examines customers’ distrust attitudes toward service failure and B2B recovery satisfaction needs to be developed and validated. In this regard, the authors developed a framework to measure post-recovery satisfaction and its association with customers’ distrust in B2B a context.

Focuses on an empirical investigation of service failures and service recovery in retail banking. Different types of failures, and the recovery strategies used by Greek banks to respond to them, were identified using the critical incident technique. A survey questionnaire was then developed to measure customers’ perceptions of the magnitude of service failures and the effectiveness of service recovery strategies. A number of research hypotheses were tested relating to customers’ evaluations of particular banking failures and recovery strategies, their previous experience of failures, demographic variables, and relationships with their banks. Service failures were found to be of varying importance and different service recovery strategies more effective for particular failures; further, customers with long relationships or high deposits with their banks were more demanding with respect to service recovery.

Service recovery is a challenge to organizations because customers will respond to recovery processes and outcomes differently. Yet, there are few studies that examine the antecedents of customer co-recovery. Hence, the purpose of this paper is to adopt a customer-dominant logic to explore the antecedents of customer co-creation of service recovery (CCSR) and its effects on perceived justice and satisfaction.

The authors reviewed the service management literature and proposed a theoretical model that links customer involvement with service failure (CISF), customer CCSR, perceived justice, to customer satisfaction with service recovery (CSSR). The sample included 594 customers who had recent experience of service failure and service recovery in Hong Kong. The research model was tested using structural equations modeling.

The results of structural equation modeling showed that CISF had an effect on customer CCSR in the form of information sharing and co-production, and this effect influenced customers’ justice perceptions, which in turn affected CSSR.

The findings supported the notion that service management should be viewed from customer-dominant logic and effective facilitation shall be deployed to engage and support customers in service recovery processes.

The study contributes to service management by identifying the salient role and form of customer co-creation in making customers feel satisfied with service recovery.

Data breaches are an increasing phenomenon in today's digital society. Despite the preparations an organization must take to prevent a data breach, it is still necessary to develop strategies in the event of a data breach. This paper explores the key recovery areas necessary for data breach recovery.

Stakeholder theory and three recovery areas (customer, employee and process recovery) are proposed as necessary theoretical lens to study data breach recovery. Three data breach cases (Anthem, Equifax, and Citrix) were presented to provide merit to the argument of the proposed theoretical foundations of stakeholder theory and recovery areas for data breach recovery research.

Insights from these cases reveal four areas of recovery are necessary for data breach recovery – customer recovery, employee recovery, process recovery and regulatory recovery.

These areas are presented in the data recovery areas model and are necessary for: (1) organizations to focus on these areas when resolving data breaches and (2) future data breach recovery researchers in developing their research in the field.

The purpose of this paper is to evaluate the interrelationship between process recovery, employee recovery and customer recovery in a financial services call centre. The authors also investigate how process recovery affects customer recovery via employees – the bridge between organisation and customers.

A case study–based approach is adopted in this study, and data triangulation is achieved through multiple data collection methods including semi-structured interviews, employees’ survey and company reports. Justice theory is the theoretical lens considered to understand the “service recovery (SR)” phenomenon.

This paper helps in understanding the relationship of process and employee recovery with customer recovery. Findings suggest that SR could be used for complaint management as well as in understanding and addressing the gaps in internal operations and employee skill sets. Factors such as training, operating systems, empowerment, incentives, and feedback were identified as critical in providing effective SR. Process improvement is necessary to control complaints by conducting root cause analysis and learning from failure.

Findings are limited to a case company in financial services sector and thus limit its generalisability to other context. Questionnaire distributed to employees only included important dimensions of SR, which would be further developed in future research.

This paper explores the specific reverse exchange strategies, termed in this paper as SR, and analyses the different factors responsible for better performance in the exchange process. The paper highlights how the imbalance in the process and employee recovery dimensions can impact on customer recovery. Closing the customer complaint loop by using the SR perspective may help organisation to not only deal with complaints in a better way but also prevent such complaints in the future.

As an emerging technology, medical artificial intelligence (AI) plays an important role in the healthcare system. However, the service failure of medical AI causes severe violations to user trust. Different from other services that do not involve vital health, customers' trust toward the service of medical AI are difficult to repair after service failure. This study explores the links among different types of attributions (external and internal), service recovery strategies (firm, customer, and co-creation), and service recovery outcomes (trust).

Empirical analysis was carried out using data (N = 338) collected from a 2 × 3 scenario-based experiment. The scenario-based experiment has three stages: service delivery, service failure, and service recovery. The attribution of service failure was divided into two parts (customer vs. firm), while the recovery of service failure was divided into three parts (customer vs. firm vs. co-creation), making the design full factorial.

The results show that (1) internal attribution of the service failure can easily repair both affective-based trust (AFTR) and cognitive-based trust (CGTR), (2) co-creation recovery has a greater positive effect on AFTR while firm recovery is more effective on cognitive-based trust, (3) a series of interesting conclusions are found in the interaction between customers' attribution and service recovery strategy.

The authors' findings are of great significance to the strategy of service recovery after service failure in the medical AI system. According to the attribution type of service failure, medical organizations can choose a strategy to more accurately improve service recovery effect.

The purpose of this paper is to investigate whether frontline employee empowerment (FEE) is necessary in the presence of streamlined recovery processes when customers attribute responsibility for the recovery process to the service provider.

The hypotheses were tested through a survey conducted with 253 bank customers, combined with two laboratory experiments run with 354 undergraduate students to assess service recovery efforts by an online store and a clinical laboratory.

Customers who attribute more responsibility for the recovery process to service providers only become more satisfied with FEE when recovery processes are not streamlined. The presence of streamlined processes and FEE is not sufficient to raise post-recovery satisfaction levels in individuals who attribute little responsibility for the process to service providers.

The study extends the literature on contingencies that influence the design of recovery strategies by showing when FEE matters. It also highlights the risks of designing service recovery practices, such as FEE or streamlined recovery processes, without considering that different customers do not evaluate such efforts in the same fashion. Research on service recovery design needs to fully integrate concepts from marketing, operations and human resources when the goal is to evaluate the effectiveness of such practices. The outcomes also offer managers insights for designing recovery strategies.