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The purpose of this paper is twofold. First, develop and test a conceptual model to understand customers’ intention to adopt online complaining. Second, to assess two competing perspectives regarding elaboration likelihood for the moderating impact of individual differences.

A scenario‐based survey was used to assess respondents’ beliefs, attitude, and usage intentions toward online complaining. Furthermore, individual and situational characteristics were assessed. The data were analyzed using partial least squares path modeling.

Attitude toward online complaining is a function of both process and outcome beliefs. It is also influenced by individual characteristics, but remains unaffected by situational characteristics. In contrast, usage intentions are influenced by situational characteristics, but by personal differences. For the moderating impact of affect‐based personality characteristics, the often used cognitive effort perspective to elaboration likelihood is not supported. Rather the consumption value perspective applies for these variables.

The use of a single setting, as well as the use of scenarios, may negatively impact external validity. Future research is needed to further explain the contradictory perspectives regarding information processing.

The results provide insight into determinants of customer online complaining. This opens up new possibilities to increase the number of complainants in case of service failures and for firms to take corrective action.

To the authors’ best knowledge, this is a first empirical study aimed at understanding what drives online customer complaining.

The importance of managing dissatisfied consumers has increased because of severe competition from the introduction of new types of stores, such as online shopping. Focuses on consumers who complain directly to the offending firms because their dissatisfaction provides a firm with the opportunity to improve its customer service. In contrast to studies that examine determinants of complaint behavior to resolve customer dissatisfaction, examines how attitudinal and perceptual variables, influenced by generalized personal factors, affect complaint intention. Performs a path analysis to examine the links among generalized personal antecedents, attitudinal and perceptual mediators, and customer’s complaint intentions. The empirical results confirm that attitudinal and perceptual mediators positively influence complaint intention. Furthermore, three generalized personal antecedents affect attitudinal and perceptual mediators. The empirical results indicate that attitude toward complaining plays a central role in mediating between three generalized personal antecedents and complaint intention. Finally, provides managerial implications that suggest ways firms can manage customers’ complaints to enhance customer satisfaction.

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.

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 paper seeks to investigate, in a context of service failure and recovery, how consumer satisfaction is affected by problem severity and company responsiveness, how satisfaction influences repatronage intentions, word‐of‐mouth, and complaint intentions, and how consumer attitude toward complaining (ATC) moderates these relationships.

An integrated model is proposed, following recent developments in the service recovery literature. This model is tested using data from a survey with 204 complaining customers.

Service recovery affected satisfaction more strongly for consumers with high ATC, indicating a moderating role of ATC. This moderator was also supported in the link between satisfaction and complaining intentions. Also, failure severity and perceived justice influenced satisfaction, which affected repurchase intentions, word‐of‐mouth, and complaining intentions.

Service managers should consider the differences between customers with low versus high ATC when providing recovery for a service failure. For instance, the importance of responsiveness in service recovery is even greater for those customers with high ATC, and those customers with low ATC have their complaint decision more dependent on their satisfaction level. Also, it is important to improve the customers' perceived fairness in the complaint resolution process.

This paper investigates the key antecedents and consequences of satisfaction in a context of service failure and recovery by integrating previous research in a comprehensive model. ATC is proposed and tested as a moderator when complainers and non‐complainers are compared in the level of the strength of the relationships. Previous research has not found a moderation effect in this level.

Customer complaints and service recovery via virtual customer service channels (VCSCs) present unique recovery situations unlike those commonly found in traditional complaint handling channels. Some of these distinct challenges include the presence of multiple customers during a recovery, which creates the possibility for uncivil customer-to-customer (C2C) exchanges to harm a complainant’s experience. To this end, this paper aims to explore customer- and firm-level aspects as they relate to social media complaint handling. A customer-level moderator (attitude toward complaining) and a firm-level moderator (relative promptness of the response) are examined.

Data from three studies use partial least squares structural equation modeling to analyze hypothetical failure and complaining scenarios on VCSCs. Study 1A (a firm’s social media channel) and Study 1B (a firm’s online support community) investigate how a complainant’s predisposition toward complaining ultimately influences their experiential value (hedonic, pragmatic and sociability) during a virtual service recovery that includes uncivil communication from another customer. Study 2 further examines how the relative promptness of a service provider’s response either before or after uncivil C2C interactions hinders a complainant’s experiential value during the service recovery encounter.

The results show support for the influence of attitude toward complaining and the relative promptness of response as impactful to a complainant’s hedonic, pragmatic and social experience in virtual service encounters that involve one customer rudely interjecting into a complainant’s online service recovery encounter.

This research is one of the first to apply both customer- and firm-level moderating aspects associated with virtual service recovery encounters. The studies quantitatively assess the moderators’ influence on online dysfunctional behavior’s relationship with C2C fairness perceptions, and the subsequent experiential value a complainant receives on VCSCs. In particular, the investigation of relative promptness of a service provider’s response is a unique conceptualization that expands prior recovery studies’ focus on promptness or quickness of a recovery. The authors put forth a more prompt response that benefits the firm by purposively and symbolically closing out the encounter on VCSC, which somewhat reduces the negative effects of rude follow-up comments. This study is also novel because of the experiential focus on C2C interactions during recovery, rather than focusing on how a firm resolves a failure. In addition, this is the first service recovery study to assess multiple types of online customer service channels. Implications are put forth for service recovery theory and managers who attend to customer complaints on virtual channels.

This study examines service “complainers” and “non‐complainers” on the basis of four personality characteristics (perceived control, Machiavellianism, self‐efficacy, self‐monitoring) and attitude toward complaining.

This study employed a quantitative methodology. Data were gathered via self‐report survey to a sample of 200 university students.

The results indicate that attitude toward complaining, perceived control and self‐monitoring were significant discriminating variables between “complainers” and “non‐complainers”. Other variables tested such as self‐efficacy and Machiavellianism were not significant.

The use of a student sample limits the findings beyond this group, however, student samples do tend to be representative of the general buying public. Therefore, it is suggested that the variables studied here should be further examined using a more diverse consumer sample. In addition, the relationship between attitude toward complaining and complaint behavior warrants further investigation, as it appears that this relationship may deviate from the expected attitude‐behavior relationship, particularly where “non‐complainers” are concerned.

While the importance of encouraging customer complaints cannot be overstated, it appears, from the findings of this study, that personality traits and attitudes may, in some cases, prohibit customers from engaging in complaint behavior. Therefore, it is imperative that service firms analyse their service provision and complaint processes so that the likelihood of customers complaining in the event of service failure is maximized. Such strategies may well include feedback surveys or service provider/employee evaluation forms, toll free numbers and customer service calls.

This paper makes a significant contribution to our understanding of complaint behavior through the exploration of consumer characteristics that have not before been examined within this realm.

The purpose of this paper is to develop an integrated model to comprehensively understand the determinants of customers' intention to complain to firms and their effects on complaint intentions.

The research adopted a systematic sampling method and carried out surveys in department stores, large supermarkets, and convenience stores in China. The structural equation model was employed to test the hypotheses.

The results show that perceived value, perceived likelihood of successful complaint and the attitude toward complaining, all have significant effects on the complaint intention. Also, consumer discontent, prior experience of complaining and controllability are analyzed as the antecedents.

The results indicate that firms should encourage customers to complain by raising the complaining value and the likelihood of successful complaint, and by intensifying their attitude toward complaining.

The research findings extend the existing theoretical models and shed light on the complicated structural relationship among various factors that affect customers' tendency to complain directly with a more holistic viewpoint to better understand customers' complaint‐making behavior.

The purpose of this paper is to investigate how students from Australia, Indonesia and Malaysia differ in their propensity to complain and attitudes to complaining.

A self‐administered questionnaire was designed using established scales to assess respondent reactions to a service failure by a university. The survey was completed by a sample of university students on an Australian university campus. ANOVA was used to compare differences between groups and regression was used to explore the relationship between attitudes and their complaining behaviours.

Australian students have a less positive attitude to complaining than Malaysian and Indonesian consumers. Contrary to expectations, “switching” behaviours were not revealed as a separate dimension of complaining behaviours, however switching was identified with online complaining as part of a new complaining dimension related to taking action outside of the organisation. Malaysian and Indonesian students are more likely to complain in this way. Surprisingly, Indonesian students are less likely to remain loyal to the service provider and Australian students were less likely to “voice” internally to the service provider. Having a positive attitude to complaining was positively related to taking action outside the organisation and to voicing within the organisation, while negative attitudes to complaining were positively related to remaining loyal to the service provider for Australian and Malaysian students.

The findings are limited to consumers of complex services such as University degrees. They are also limited to Indonesian, Malaysian and Australian consumers. Other service contexts, cultures and product failure situations should be investigated in the future.

This research bridges an inherent gap in the literature by exploring the complaining behavior of students in an Asia‐Pacific context. Service organisations can use the findings to better interpret and respond to complaining behavior by students from different nationalities. In particular, it helps faculty and university administrators to manage dissatisfied students from diverse national backgrounds and assists marketers to develop marketing initiatives and communication policies for the student recruitment process.

The purpose of this study is to apply the theory of reasoned action (TRA) and the theory of planned behavior (TPB) to predict which factors can determine consumers' intentions to complain when they meet an online or offline service failure.

The method of obtaining quantitative data was that of the instrument of a survey questionnaire. Data were collected from 300 potential consumers to assess the influence of attitude, subjective norm, and perceived behavioral control on the intention to complain. Participants were assigned averagely and randomly to one of two conditions: online medium and offline medium. Two‐stage structural equation modeling was employed to test hypotheses.

It was found that both the TRA and the TPB predict the intention to complain well, although the predictive power of the TPB is more robust than the TRA in online media and is weaker than the TRA in offline media. In particular, perceived behavioral control is a better predictor of intention to complain than is attitude or subjective norm in the online environment.

This study assessed self‐reported behavioral intention as part of its survey and, as a result, could have introduced unintentional inaccuracies.

The findings of the study will help marketers to address the key factor which influences consumers' intention to complain and to improve firm performances to meet consumer needs.

The TRA and TPB are novel and usable in explaining the intention of online and offline consumers to complain, and these findings may be generally applicable to marketers and consumers.