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The purpose of this paper is to propose a conceptual model of customer complaining behaviour as a dynamic process in accordance with the service‐dominant logic perspective of marketing.

The study reviews the common behaviour models of customer complaints and relates this to the service‐dominant logic perspective in order to develop and describe a dynamic conceptual model of customer complaining behaviour.

The proposed model posits three categories of complaining behaviour due to a customer's unfavourable service experience: no complaining response, communication complaining responses, and action complaining responses.

Empirical validation of the proposed conceptual model is needed.

The proposed model can be used by managers to understand the various behaviour responses of customer complaints that the company experiences. In addition, the model assists in framing appropriate managerial responses, including service recovery and improved service design.

The study represents a thorough conceptual examination of the complaint process and proposes a dynamic model of customer complaining behaviour based on the service‐dominant logic perspective.

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.

The purpose of this paper is to examine the main causes for complaining behaviour intentions expressed in three dimensions: private response, complaining response and complaining to third parties. The objectives are, first to study the direct influence of a set of antecedents and complaining behaviour intentions and second, to analyse the moderator effect of previous restaurant experience on subsequent relations.

A quantitative research method was used based on a self‐administered ad‐hoc questionnaire on a sample of 388 individuals who remembered an unsatisfactory experience in a restaurant.

The results show that the following variables have significant effects on intentions: attitudes towards complaining, level of information and complaining experience, level of dissatisfaction and likelihood of success with the complaint. An increased effect of attitudes towards complaining has been found in customers with no previous experience of the restaurant.

This work shows that the customer's previous experience is important in the formation of complaining behaviour intentions and therefore research is needed on new variables which may play a moderator role.

The purpose of this study is to examine how customer race (Black vs White) influences the extent to which customers attribute an ambiguous service failure (i.e. subtle degradation of service) to discrimination and how perceived discrimination relates to customer anger and on-site coping behaviors (vindictive complaining, problem-solving complaining and avoidance). This study further investigated how customer race affects the strength of relationships among perceived discrimination, anger and these three coping behaviors.

This study used a video-based simulation in which participants watched a subtle service failure from the customer’s viewpoint before completing a survey. A total of 421 participants – 210 Blacks and 211 Whites – were recruited through Qualtrics. Multigroup structural equation modeling (SEM) analysis was used to test hypotheses.

Compared with White customers, Black customers were more likely to attribute a service failure to discrimination and exhibited a stronger relationship between perceived discrimination and anger. In addition, increasing anger in White customers tended to lead to more active coping strategies (i.e. vindictive complaining, problem-solving complaining). For Black customers, increasing anger tended to lead to vindictive complaining at a similar level to White customers. However, the impact of anger on problem-solving complaining – known to be a more beneficial coping strategy – was stronger among White customers than among Black customers.

This study advances hospitality practitioners’ understanding of how customers respond on-site to a service failure that can be interpreted as discrimination. The varying effects of race on customer-coping behavior are also identified. In addition, this study offers practical advice to develop organizational strategies to dissuade customers from attributing service failure to discrimination and to respond effectively to customer-coping behaviors.

Complementing and extending past research documenting the prevalence and causes of racial discrimination in service settings, the present study advances prior work by developing and testing a comprehensive structural model linking race with coping responses via perceived discrimination and anger, and by exploring how race affects the strength of relationships among perceived discrimination, anger and coping strategies.

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.

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.

This study aims to investigate the influences of the selected antecedents on each type of complaining intentions and its relationship to complaining behavior of 582 university library users in South Korea.

Data were collected through a survey, using a convenience sample of 582 dissatisfied university library users from five major universities located in Taegu Metropolitan City and Kyoung‐pook Province in South Korea. The sample was proportionate to general users in the university libraries in these areas.

Perceived severity of dissatisfaction and personal norms had significant influences on the choice of negative word‐of‐mouth intention, direct and indirect voice intentions, and third‐party complaint intention. Societal benefits had significant influences on the choice of exit, negative word‐of‐mouth intention, and direct and indirect voice intentions. Difficulty of complaining and service importance had significant influences on negative word‐of‐mouth intention, and likelihood of success had significant influences on the direct and indirect voice intentions. There were significant relationships between experiences of doing the same types of complaining behavior before and the same types of complaining intentions.

This study was exploratory inorder to separate complaining intentions from the complaining behavior itself. Some variables, including external attribution and loyalty, which were not proved to be critical variables for complaining intentions, need to be investigated further to investigate whether or not they can be a useful variable for complaining behavior and intentions of academic library users. Some results from this study did not confirm the results of the study on the public library users that measured the complaint behavior and intentions together. Compared with the results of the study on the public library users, the values of adjusted R square in the regression of each dependent variables were much higher in this study except for the case of exit intention.

This study proved that the complaining intention model, separated from complaining behavior, could successfully be applied to academic library services.

Opines that feedback information through complaints can solve many problems and/or improve performance and service quality – and eventually help libraries satisfy their customers.

Compares complaining behaviour in traditional and technology‐based service encounters. Drawing on 160 negative critical incidents within Finnish retail banking, shows that, contradictory to common predictions, there are no significant differences in the complaining rates between the two types of service encounters. Attributes this finding to the high reliance of traditional complaining methods in both types of service encounters. Finds, however, that complaints about technology‐based service encounters have significantly higher response rates than complaints about traditional service encounters. Also, when focusing on technology‐based service encounters, finds that customers who actually consider themselves guilty for the outcome were the most frequent complainers, while the ones attributing the outcome to technology failures or service process failures complain less often. These findings have interesting implications for designers of service recovery systems.

The current study aims to predict consumer complaint status (complainers or non-complainers) based on socio-demographic and psychographic factors and further to discern the differences in behavior disposition of consumer groups concerning determinants of consumer's tendency to exit (TE).

The research used survey-based data of 600 Indian consumers of three service sectors (hotel and hospitality, automobile service centers and organized retail stores). Chi-square automatic interaction detector (CHAID) decision tree analysis was used to profile consumers.

The results indicated that occupation; income; education; industry and attitude toward complaining were significant factors in profiling consumers as complainers or non-complainers. Further, determinants of TE (discouraging subjective norms, perceived likelihood of successful complaint, lower perceived switching cost, poor employee response, negative past experience and ease of complaint process) vary significantly across the groups of complainers and non-complainers.

The research questions in this study were tested with three service sectors consumers in India, so due care should be exercised in generalizing these findings to other sectors and countries. Study replication across other service sectors and countries is recommended to improve the generalizability of these findings with wider socio-demographic samples.

Firms striving for consumer retention and aim to extend their consumer life cycle can greatly benefit from the results of this study to understand the customer complaint behavior (CCB) specific to non-complaining (exit) behavior. The future researcher may benefit from replicating and extending the model in different industries for further contribution to the CCB literature.

To the best of the author's knowledge, there is no evidence of consumer segmentation based on their complaining behavior or socio-demographic and psychographic factors by employing CHAID decision tree analysis. In addition to illustrating the use of data mining techniques such as CHAID in the field of CCB, it also contributes to the extant literature by researching in a non-Western setting like India.

The purpose of this paper is to provide insight into the decision process behind whether customers complain, and to identify the effects of the situational factor credence quality in this decision process.

A quasi-experimental design is used in which scenarios are applied in combination with a survey to test and to compare the model and its boundary conditions with existing consumer behavior models.

The mental-accounting process (theory of trying to complain (TTC)) seems to be a stronger predictor than mere attitude models (theory of planned behavior) when trying to explain intention to complain. Second, anticipated justice from complaint handling is a strong driver of intention to complain. Third, in both models, subjective norms are a strong predictor of intention to complain.

This study contributes to both theory and practice by extending existing theory and offering the TTC, and by providing practical insight for service managers.

To the best of the authors’ knowledge, the current study is the first to compare systematically two complaint approaches explaining complaint intention: the attitude model and the mental-accounting model.