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This paper aims to identify antecedents and consequences of pharmacy loyalty behavior.

A cross-sectional study was conducted. Constructs involved were measured using an online self-administered questionnaire. Data were analyzed using multivariate logistic and linear regression.

In all, 400 usable responses were obtained. General satisfaction (odds ratio [OR] = 1.52; p < 0.01; 95 per cent confidence interval [CI] = 1.12 to 2.06) and trust (OR = 1.81; p < 0.01; 95 per cent CI = 1.32 to 2.50) were found to have statistically significant relationships with loyalty behavior. General satisfaction (regression coefficient = 0.20; p < 0.01; 95 per cent CI = 0.09 to 0.31), explanation component of satisfaction with service quality (regression coefficient = 0.13; p < 0.01; 95 per cent CI = 0.04 to 0.21), consideration and technical competence components of satisfaction with service quality (regression coefficient = 0.18; p = 0.02; 95 per cent CI = 0.03 to 0.33) and trust (regression coefficient = 0.33; p < 0.01; 95 per cent CI = 0.21 to 0.45) were statistically significantly related to positive word-of-mouth promotion. General satisfaction (regression coefficient = −0.29; p < 0.01; 95 per cent CI = −0.3 to −0.18), consideration and technical competence components of satisfaction with service quality (regression coefficient = −0.17; p = 0.02; 95 per cent CI = −0.31 to −0.03) and trust (regression coefficient = −0.21; p < 0.01; 95 per cent CI = −0.33 to −0.10) had statistically significant relationships with negative word-of-mouth promotion.

Pharmacists can utilize these results to develop better marketing strategies. These results can be used by researchers to forward this area of research. This study had some study design limitations that may affect its generalizability.

Effect of satisfaction as a multidimensional construct on pharmacy loyalty behavior and word-of-mouth promotion, identification of drivers of negative word-of-mouth promotion and effect of pharmacy trust on pharmacy loyalty behavior and word-of-mouth promotion are some of the major contributions of this study.

This paper aims to investigate the direct and interactive effects of regulatory focus (promotion versus prevention), attribute type (search versus experience) and word of mouth valence (positive versus negative) on consumption decision for a service and a product.

Three empirical studies (two laboratories and a field experiment) using “university” and “mobile phone” as the research setting were used to test the key hypotheses.

Promotion (prevention)-focused subjects preferred experience (search) attributes over their counterparts while making consumption decision. This preference was further reinforced for both promotion and prevention-focused people under positive word of mouth. Under negative word of mouth, in comparison to their counterparts, promotion-focused people still retained their preference for experience attributes, whereas prevention-focused subjects reversed their preference and maintained status quo.

Future research may validate and extend authors’ findings by looking into the underlying process or studying additional word of mouth variables that may moderate the current findings.

The findings will help managers devise a range of marketing strategies in the areas of advertising and product positioning, especially for products/services that are showcased in terms of experience and search attributes.

The current research is novel as no prior research has proposed and tested the two-way interaction between regulatory focus and search/experience attributes, or its further moderation by word of mouth valence.

Regulatory focus theory has been studied in an in-store retailing context. Although an in-store retailing differs from an e-tailing in terms of the factors such as absence of products, physical human interactions and store atmospherics, the application of regulatory factors in an e-tailing context is limited. This study aims to examine the moderating role of regulatory focus orientations in consumer e-tailing activities.

A laboratory experiment with 297 participants was conducted to test the theoretical propositions. Statistical techniques such as t-test were used to analyse the data.

Results show that a consumer online purchase intentions, product review and spreading positive word of mouth vary from promotion-focused individuals to prevention-focused individuals. Results also show that there is no difference in spreading negative word of mouth between promotion-focused and prevention-focused individuals after encountering an unpleasant shopping experience. Finally, results show both the regulatory focus-oriented shoppers are encouraged by sales promotions.

Arguably, this is the first study to examine how consumers’ regulatory orientations moderate their e-tailing activities. The results of this study have implications for both academicians and managers.

This study aims to investigate the effects of inconsistent word‐of‐mouth on service quality perception and purchase intention during the service encounter.

A pilot study and a subsequent formal experiment with six scenarios were designed to test the inconsistent word‐of‐mouth effect. Participants were recruited from a major university located in Southern China.

The results revealed that service quality perception and purchase intention were influenced more by the final word‐of‐mouth event than by the initial one and were more favorable with more positive word‐of‐mouth events.

Further research should study more factors such as source effect of word‐of‐mouth and knowledge about the service in investigating the inconsistent word‐of‐mouth effect on service quality perception and purchase intention.

Consumers' service quality judgment and purchase intention seem to be highly driven by the most recent word‐of‐mouth activities. Thus, to stimulate consumption levels, companies can use creative and innovative promotion tools for consumers to talk about their service and elicit consumers' purchase interest. Other tools such as involving consumers in delivering the service and developing referral incentive schemes are also beneficial to establish positive word‐of‐mouth.

This paper adds value to the word‐of‐mouth literature by studying the inconsistent word‐of‐mouth effect on consumers' perceptions of service quality and purchase intention towards the service, which lacks strong conceptual and empirical evidence.

While the links between customer word-of-mouth and desirable organizational outcomes have been widely studied, the possibility that customers might routinely exaggerate their consumption experience stories has been neglected. The paper aims to discuss this issue.

The first exploratory study examined exaggerated and unexaggerated word-of-mouth and the targets of such activities. The second exploratory study focussed on customer-exaggerated negative word-of-mouth and its drivers. The two experimental studies generated deeper insights into attributions of service failure and exaggerated negative word-of-mouth.

This research explicitly addresses customer exaggeration regarding service consumption and the reasons customers engaged in such behaviors. Study 1 focussed on the scope and targets of exaggerated word-of-mouth, and Study 2 concentrated on identifying the drivers of exaggerated negative word-of-mouth. Studies 3 and 4 experimentally elucidated the cognitive mechanisms leading to exaggeration.

Contributions include deeper understanding of the phenomenon of exaggerated negative word-of-mouth and developing and testing a model of the factors associated with consumers’ exaggerated negative word-of-mouth.

Implications include possible organizational and public policy actions to prevent Pinocchio customers from exaggerated negative word-of-mouth.

This paper explores the nature and scope of exaggerated customer word-of-mouth and contributes insights in four ways. First, this research explores the scope of consumer exaggeration during word-of-mouth storytelling and the intended targets of such communications. Second, this research focusses on exaggerated negative word-of-mouth and develops a conceptual model of the drivers of such activity. Third, the theory is tested and contributes empirical insights into exaggerated negative word-of-mouth. Fourth, through experiments, insights are gained into the cognitive mechanisms leading to exaggeration and the effects of attribution differences in personal vs service provider blame.

The purpose of this paper is to investigate the electronic word-of-mouth (eWOM) motivations of regulatory-focused customers with positive and negative consumption experiences.

An online survey is conducted in Beijing and Shanghai. A random sampling technique is used to collect data from 854 respondents. Two scenarios of eWOM communication – positive and negative consumption experiences – are randomly assigned to each respondent. This study employs the structural equation modeling and confirmatory factor analysis techniques. However, it uses ordinary least squares and logistic regression to analyze 137 participants in the experimental study.

Promotion-focused customers that aim for self-enhancement and obtaining social benefits are motivated to spread positive eWOM on social networking sites. However, prevention-focused customers are driven by vengeance and anxiety, revealing higher intentions to post negative eWOM on review sites. eWOM generation is subject to gender, as promotion-focused male customers spread it more than both prevention-focused and promotion-focused female customers. Moreover, platform assistance (PA) has a significant positive impact upon regulatory-focused customers and eWOM (positive vs negative) relationships.

This study provides a deeper understanding of motivational factors of eWOM communication. Specifically, in case of product or service failure, negative consumption experiences drive prevention-focused customers to generate negative eWOM. Thus, using various tactics, marketers need to shift customers from focusing on prevention to focusing on promotion. For example, redeemable free coupons can shift customer attention and generate positive eWOM.

This study provides unique insights about eWOM motivation across genders. It examines regulatory focus, positive vs negative consumption experiences and moderation of PA.

The aim of this article is to supply grounded empirical insights into the forms of negative word‐of‐mouth by front‐line, customer contact employees.

The article adopts a qualitative approach through interviews with 54 front‐line employees in three retail organizations: food, clothing and electronic goods.

The paper finds four different forms of negative word‐of‐mouth behaviours which are labelled customer‐oriented, anti‐management/firm, employee‐oriented and anti‐competitor word‐of‐mouth. The paper shows how each of these behaviours varied in terms of the target audience (the intended listeners), the focus of attention (the focal point of comments), the motivation (the perceived rationale for the behaviour) and the extent to which employees perceived their own comments to be truthful.

The article calls for an expansion of research horizon to incorporate a fuller understanding of the dynamics of employee (mis)behaviour in the workplace in relation to resistance, subjectivity, instrumentality and clandestine control of certain aspects of workplace dynamics.

The findings suggest that managers should be concerned with front‐line employee negative word‐of‐mouth especially because some of the examples which were uncovered are potentially damaging to both financial and non financial performance measures.

The article contributes insights into the neglected area of employee negative word‐of‐mouth. The article argues that the identification of the forms of employee negative word‐of‐mouth is an important step towards developing a theory of employee negative word‐of‐mouth that is especially pertinent to front‐line service work. The article develops a series of propositions which future researchers may find useful in advancing research in this area.

The purpose of this study is to investigate the impact of dissatisfaction and anger, driven by the failure of the self-service technology of banks, on customers' post-purchase behavioural reactions, such as complaints, negative word-of-mouth (NWOM) and supplier change. The stability of the failure is proposed to moderate these relationships.

The proposed research model was tested through data collected from an online survey of a Tunisian sample of 300 respondents, using the scenario method.

The study validates the positive impact of dissatisfaction on anger and negative word-of-mouth, as well as that of anger on complaint behaviour and negative word-of-mouth. The relation between dissatisfaction and negative word-of-mouth is mediated by anger. When the failure is stable, dissatisfied users of the self-service technology seek to enhance their negative word-of-mouth and supplier change. The results also show that the stability of the failure enhances the effect of anger on complaint behaviour.

Banks should invest efforts to accelerate the recovery of services to reduce consumer dissatisfaction and anger and prevent adverse behavioural outcomes. Further, they need to ensure that failures are not repeated, as failure stability activates some otherwise non-significant behavioural outcomes, like supplier change.

Previous works have focused on the impact of dissatisfaction and negative emotions for interpersonal services, but very few works have come to associate dissatisfaction, anger, complaint, negative word-of-mouth and supplier change in an integrative framework for an self-service technology failure.

Managers seeking to manage customer word-of-mouth (WOM) behavior need to understand how different attitudinal drivers (e.g. satisfaction, positive and negative emotion, commitment, and self-brand connection) relate to a range of WOM behaviors. They also need to know how the effects of these drivers are moderated by customer characteristics (e.g. gender, age, income, country). The paper aims to discuss these issues.

To investigate these issues a built a large-scale multi-national database was created that includes attitudinal drivers, customer characteristics, and a full range of WOM behaviors, involving both the sending and receiving of both positive and negative WOM, with both strong and weak ties. The combination of sending-receiving, positive-negative and strong ties-weak ties results in a typology of eight distinct WOM behaviors. The investigation explores the drivers of those behaviors, and their moderators, using a hierarchical Bayes model in which all WOM behaviors are simultaneously modeled.

Among the many important findings uncovered are: the most effective way to drive all positive WOM behaviors is through maximizing affective commitment and positive emotions; minimizing negative emotions and ensuring that customers are satisfied lowers all negative WOM behaviors; all other attitudinal drivers have lower or even mixed effects on the different WOM behaviors; and customer characteristics can have a surprisingly large impact on how attitudes affect different WOM behaviors.

These findings have important managerial implications for promotion (which attitudes should be stimulated to produce the desired WOM behavior) and segmentation (how should marketing efforts change, based on segments defined by customer characteristics).

This research points to the myriad of factors that enhance positive and reduce negative word-of-mouth, and the importance of accounting for customer heterogeneity in assessing the likely impact of attitudinal drivers on word-of-mouth behaviors.