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This paper aims to provide an integrative view of the conceptualizations, definitions, antecedents and taxonomies of consumer complaining behavior (CCB). Additionally, the study aims to provide an updated synthesis and classification of both legitimate and illegitimate CCB antecedents, as well as an integrated CCB taxonomy.

A multi-stage systematic search is conducted and 226 research articles relevant to the scope of the study are analyzed to fulfill the study’s objectives.

Through an exhaustive aggregation, legitimate and illegitimate CCB antecedents identified in the literature are collated and a classification schema is developed. Deficiencies observed in extant CCB taxonomies are addressed and a refined taxonomy incorporating illegitimate CCB is developed.

The conclusions drawn on the basis of this paper are contingent on the effectiveness of the keyword-based systematic search process that is used to demarcate the extant literature.

This paper suggests a three-pronged approach of differential enabling, legitimacy evaluation and differential management. This holistic perspective aims at enabling firms to design complaint management policies and systems that control fake complaints while maintaining sufficient redress opportunities for genuine dissatisfaction.

The paper proposes an identical classification schema for legitimate and illegitimate CCB antecedents and is the first broad-based attempt to develop an integrated CCB taxonomy.

The study aims to investigate the illegitimate customer complaining behavior (ICCB) in the hospitality industry from the perspective of frontline employees. In particular, this study identified ICCB incidents, ICCB triggering factors and inhibitors in the hospitality industry.

A qualitative research approach was adopted in this study by using in-depth personal interviews. Twenty-six semi-structured interviews were conducted with frontline employees who had first-hand experiences with ICCB in the hospitality industry. The interviews were transcribed, coded and analyzed following the procedures of open coding, axial coding and selective coding.

Analysis of the qualitative data has revealed 7 types of ICCB incidents, 11 ICCB triggering factors and 3 ICCB inhibitors in the hospitality industry, as perceived by frontline employees. The study also proposed a multiple-layer model of ICCB triggers and inhibitors based on the results. Four propositions are developed delineating three layers of driving forces and the dynamics between ICCB triggers and inhibitors that exert joint effects on ICCB.

Impacts of various cultural settings, different hospitality business settings (hotels vs restaurants) and profile information of frontline employees on ICCB need to be examined in future research.

Findings of this study contribute to the customer complaining literature and the hospitality service management literature by offering the frontline employees’ perspective of ICCB. Hospitality businesses can benefit from this study by using the research findings to develop more effective company policies and training programs to recognize, monitor and resolve ICCB incidents.

Proposes responding to earlier calls for further research into “fraudulent” or “feigned” customer complaints, and providing insights which explore and describe the motivations and forms of such deliberate “illegitimate” customer complaints.

Critical incident technique was utilized in analyzing 104 interviews with customers who had knowingly made an illegitimate complaint within the six months prior to the interview. Data collection stopped at the point of theoretical saturation and was subsequently analyzed according to the coding procedures advocated by Strauss and Corbin (open, axial and selective coding).

Two key insights emerged from data analysis. First, coding procedures revealed four distinct forms of customer complainants. These are labeled; “one‐off complainants”, “opportunistic complainants”, “conditioned complainants”, and “professional complainants”. Second, six main motives for articulating fraudulent complaints were uncovered during data analysis. These are termed; “freeloaders”, “fraudulent returners”, “fault transferors”, “solitary ego gains”, “peer‐induced esteem seekers”, and “disruptive gains”.

The study is constrained by its exploratory design and qualitative methods employed. Subsequently, future studies could employ survey methods to improve empirical generalizability. Future studies could adopt a more inclusive approach and incorporate insights from employees, managers, and other relevant actors within service encounters.

Practical implications highlighted by the study include a need for businesses to examine and, in many cases, reevaluate their personnel training, customer complaint and service recovery procedures. Furthermore, managers may wish to enforce mechanisms wherein customer complaints are monitored and tracked in a manner that assists in the identification and challenging of re‐offending fraudulent complainers.

The study constitutes the first systematic attempt to explore and describe illegitimate customer complaining behaviors.

Although dysfunctional behaviors by customers is increasingly being recognized by both scholars and practitioners, “illegitimate” complaining, in the form of fraudulent returns by customers, is under‐researched. The aim of this study is to address this gap in extant knowledge through explicitly focusing on uncovering factors which permit consumers to exploit retailers' liberal return policies when fraudulently returning products that they know they have used or damaged.

In‐depth interviews were utilized as the main data collection method. Interviews were conducted amongst service employees and customers. A total of 87 interviews were conducted with front‐line employees and managers of 12 general retail outlets. Customer interviewing involved 96 interviews. Potential customer informants were randomly contacted with a request to participate in a study of customer service and returning goods.

Data analysis revealed ten main factors that appear to be related to customers' likelihood of successfully, fraudulently returning products.

As with other similar studies of this nature, the findings and implications are limited by the research design and methods employed. However, these limitations also indicate potentially fruitful avenues of future research. Future studies could employ different methods and explore differing contexts to gauge the generalizability of findings.

The findings of the study have a range of implications for practitioners and policy makers. Insights are generated into the extent of fraudulent returning and the factors which facilitate successful fraudulent returns. As such, practitioners could use such insights to reduce the frequency of such episodes. Public policy implications centre on highlighting the issues which policy makers may wish to consider.

The current study is the first to explore how (rather than, why) consumers exploit firms' return policies and fraudulently defraud retailers. As such, a fundamental and stark contribution centres on the finding of widespread, recidivist fraudulent returning among those interviewed. Ten facilitators of fraudulent returning were identified, providing rich insights into how customers are able, successfully, to return used and damaged products.

Service recovery strategies have been identified as a critical factor in the success of service organizations. This study develops a conceptual framework to investigate how specific service recovery strategies influence the emotional, cognitive and negative behavioral responses of consumers, as well as how emotion and cognition influence negative behavior. Understanding the impact of specific service recovery strategies will allow service providers to more deliberately and intentionally engage in strategies that result in positive organizational outcomes. This study was conducted using a 2×2 between-subjects quasi-experimental design. The results suggest that service recovery has a significant impact on emotion, cognition and negative behavior. Similarly, satisfaction, negative emotion and positive emotion all influence negative behavior but distributive justice has no effect.

This paper aims to examine which behaviour or set of behaviours customers are prone to follow in double deviation scenarios (i.e. consumption experiences in which customers face both the initial service failure and a failed service recovery), as well as how customers' perceptions of the problem and the firm's recovery efforts may influence these behaviours.

The paper uses multinomial logit models with random coefficients to test the proposed model.

Magnitude of service failure, explanations, apologies, perceived justice, anger and frustration felt by the customer, and satisfaction with the service recovery have significant and different effects on customers' choice of a type of response.

Additional research should try to determine the effects of different variables and their potential interactions. Further work incorporating different subjects, service settings or additional combinations of complaining behaviours is needed to validate the results of this investigation.

This study highlights the importance of effective management of consumer responses to double deviations. Even when it is not possible to respond to customer complaints the first time, firms can learn from double deviations. Furthermore, new market entrants and competitors who want to capture consumer switchers should recognise what happened and try to avoid making the same mistakes.

This study is the first to examine the consequences of double deviations by considering the multi‐dimensional nature of complaint behaviour and the existence of simultaneous responses. This study is based on analyses of real service failures and recovery strategies and actual customer behaviour.

Christopher Lovelock originated the term “jaycustomer” behavior to refer to customers who deliberately act in a thoughtless or abusive manner, causing problems for the firm, employees, or other customers. An overview of existing literature reveals the focal concentration of empirical research regarding the listing or categorization of jaycustomer behaviors has been on individual forms. While the need for a development of a typology of general or all‐embracing jaycustomer behaviors has been recognized, and forwarded by a small number of researchers, such efforts have been anecdotal or conceptual in nature, or have emerged as part of wider research. The aim of this study is to advance understanding of the different forms of jaycustomer behaviors through providing empirical insights that explore and describe the activities and motivations of such “deviant” or “dysfunctional” customer behaviors through garnering empirical insights from both customer‐contact employees and customers themselves. After a review of existing literatures and a discussion of the research design and approach adopted, the findings from over 100 in‐depth interviews, utilizing critical incident technique, are presented and the implications of the study discussed.

Online consumer complaint behaviour that is observable to other consumers provides the firm with an opportunity to demonstrate transparency and service quality to the public eye. The purpose of this paper is to assist practitioners with a strategy to increase perceived accommodativeness in complaint management on social media and reduce the social risk associated with online consumer complaint behaviour using a social exchange theory perspective.

Six online experiments with 1,350 US Facebook users were conducted to investigate the effect of supportive and non-supportive virtually present others, and employee intervention on a consumer’s choice to complain, likelihood to make an observable complaint (on the Facebook page) and likelihood to make a non-observable complaint (via Facebook Messenger). The mediating role of perceived accommodativeness and subsequent social risk is also examined.

Supportive comments made to the complainant by virtually present others were found to influence participants’ decision to complain, heighten participants’ likelihood to complain about the Facebook page and reduce their likelihood to complain via Facebook Messenger. This effect was reversed in the presence of non-supportive virtually present others and was explained by perceived social risk. Further, a participant’s likelihood to complain about the Facebook page was increased when an employee intervention was directed at a non-supportive comment made to a complainant, by a virtually present other. This effect was explained by the perceived accommodativeness of the employee interaction.

The findings advance research on online consumer complaint behaviour by investigating how employee intervention can be used to increase the likelihood of an observable complaint. This research is limited in that it does not incorporate individual characteristics, such as introversion/extroversion and propensity to respond to peer pressure, which may affect participant responses.

This research shows that perceptions of social risk are most effectively reduced by employee intervention directed at a non-supportive comment (made to a complainant) of a virtually present other. Consumer complaint management strategies aimed at minimising perceptions of social risk and encouraging observable online complaint behaviour are proposed.

This research extends the consumer complaint behaviour taxonomy by introducing the term “observable complaining”, that is, visible complaints made on a Facebook page, and broadens understanding of the organisation’s role in managing non-supportive virtually present others to assuage perceptions of social risk in potential complainants.

This paper aims to examine the associations between individual factors (personality and demographic variables) and contextual factors (servicescape and situation‐specific variables), and the motives that drive episodes of dysfunctional customer behavior.

Self‐report data were collected from a survey of bar, hotel, and restaurant customers (n=380). Confirmatory factor analysis and hierarchical cluster analysis were utilized to analyze the data.

Analysis of the data revealed three clusters of motives labelled: financial egotists, money grabbers, and ego revengers. Statistically significant differences were revealed across the personality, servicescape, and situation specific variables for each motive. However, no differences were found concerning demographic variables.

This research emphasizes the primacy of three customer behavior motivations. Future research might investigate the motives for dysfunctional customer behavior across different organizational contexts and the dynamics between such motivations.

The findings of the study indicate that service managers can proactively control and manipulate servicescape and situation‐specific variables that relate to customer misbehavior motives.

No existing scholarly research has developed a data‐grounded understanding of the motivations of dysfunctional customer behaviors. Moreover, to date, no study has explored the associations between customer's motives to misbehave and personality, situation specific, servicescape, and demographic variables.

Following the perspective of frustration theory customer frustration incidents lead to frustration behavior such as protest (negative word‐of‐mouth). On the internet customers can express their emotions verbally and non‐verbally in numerous web‐based review platforms. The purpose of this study is to investigate online dysfunctional customer behavior, in particular negative “word‐of‐web” (WOW) in online feedback forums, among customers who participate in frequent‐flier programs in the airline industry.

The study employs a variation of the critical incident technique (CIT) referred to as the critical internet feedback technique (CIFT). Qualitative data of customer reviews of 13 different frequent‐flier programs posted on the internet were collected and analyzed with regard to frustration incidents, verbal and non‐verbal emotional effects and types of dysfunctional word‐of‐web customer behavior. The sample includes 141 negative customer reviews based on non‐recommendations and low program ratings.

Problems with loyalty programs evoke negative emotions that are expressed in a spectrum of verbal and non‐verbal negative electronic word‐of‐mouth. Online dysfunctional behavior can vary widely from low ratings and non‐recommendations to voicing switching intentions to even stronger forms such as manipulation of others and revenge intentions.

Results have to be viewed carefully due to methodological challenges with regard to the measurement of emotions, in particular the accuracy of self‐report techniques and the quality of online data. Generalization of the results is limited because the study utilizes data from only one industry. Further research is needed with regard to the exact differentiation of frustration from related constructs. In addition, large‐scale quantitative studies are necessary to specify and test the relationships between frustration incidents and subsequent dysfunctional customer behavior expressed in negative word‐of‐web.

The study yields important implications for the monitoring of the perceived quality of loyalty programs. Management can obtain valuable information about program‐related and/or relationship‐related frustration incidents that lead to online dysfunctional customer behavior. A proactive response strategy should be developed to deal with severe cases, such as sabotage plans.

This study contributes to knowledge regarding the limited research of online dysfunctional customer behavior as well as frustration incidents of loyalty programs. Also, the article presents a theoretical “customer frustration‐defection” framework that describes different levels of online dysfunctional behavior in relation to the level of frustration sensation that customers have experienced. The framework extends the existing perspective of the “customer satisfaction‐loyalty” framework developed by Heskett et al.