Word-of-Mouth (Negative)

Abstract

The Negative Word-of-Mouth (NWOM) Scale developed by Yany Grégoire and Robert J. Fisher (2008) is a concise, psychometrically validated three-item self-report instrument designed to quantify the extent to which consumers communicate unfavorable evaluations, denigrating remarks, and avoidance recommendations regarding a service provider or firm to their social network following a service failure. Grounded in theories of cognitive appraisal, psychological contract violation, and customer retaliation, the scale measures an aggressive, externally directed behavioral outcome stemming from perceived betrayal. The instrument uses a 7-point Likert response format ranging from 1 (“Strongly disagree”) to 7 (“Strongly agree”). Psychometric evaluations conducted across multiple structural equation modeling studies demonstrate outstanding internal consistency reliability (Cronbach’s alpha and composite reliability routinely exceeding .90), robust unidimensional factor structures with standardized factor loadings exceeding .85, and sound convergent and discriminant validity relative to related constructs such as direct complaining, third-party complaining, and patronage reduction. As a brief and rigorous measurement tool, this scale remains widely utilized in marketing, service management, and consumer psychology research to investigate customer retaliation, service recovery strategies, and the destructive “love becomes hate” effect observed among formerly loyal consumers.

Keywords

negative word-of-mouth, customer retaliation, customer betrayal, service failure, service recovery, consumer complaining behavior, love becomes hate effect, psychometrics, scale validation, relationship marketing, consumer psychology, equity theory

Authors

The Negative Word-of-Mouth Scale was conceptualized, operationalized, and psychometrically validated by:

• Yany Grégoire, Ph.D. — Professor of Marketing, Department of Marketing, HEC Montréal, Montréal, Québec, Canada. Dr. Grégoire’s scholarship specializes in customer relationship management, service failure and recovery, consumer revenge, customer betrayal, and front-line employee management.
• Robert J. Fisher, Ph.D. — Professor Emeritus of Marketing and Alberta Investment Management Corporation (AIMCo) Chair in Finance, Alberta School of Business, University of Alberta, Edmonton, Alberta, Canada. Dr. Fisher’s research focuses on social influence, prosocial behavior, consumer decision-making, and service dynamics.

Primary Citation: Grégoire, Y., & Fisher, R. J. (2008). Customer betrayal and retaliation: When your best customers become your worst enemies. Journal of the Academy of Marketing Science, 36(2), 247–261. https://doi.org/10.1007/s11747-007-0054-0

Purpose

The primary purpose of the Negative Word-of-Mouth Scale is to provide researchers and organizational diagnosticians with a psychometrically sound, parsimonious instrument to assess the frequency and intensity of customer-initiated negative interpersonal communications following service failures. In consumer psychology and service marketing, customer dissatisfaction manifests through varied behavioral trajectories: consumers may exit the relationship silently, voice direct complaints to firm management seeking restitution, seek third-party legal or regulatory redress, or engage in retaliatory behaviors intended to inflict economic and reputational harm on the offending organization.

Grégoire and Fisher (2008) developed this instrument specifically to capture NWOM as an explicit retaliatory mechanism. Unlike traditional models of consumer satisfaction that treat negative word-of-mouth merely as an incidental byproduct of cognitive dissatisfaction or an altruistic attempt to warn others, this conceptualization frames NWOM as an intentional, retribution-driven act of indirect aggression. The scale was designed to differentiate retaliatory behaviors targeting the firm’s broader market environment from internal remedial requests, clarifying how feelings of betrayal drive customers to persuade peers, friends, and prospective patrons to avoid the transgressing firm.

In applied research, the scale is routinely deployed to evaluate the efficacy of service recovery interventions, assess the financial and reputational vulnerabilities caused by severe service breakdowns, and empirically examine the boundary conditions of relational investments. It provides academic researchers with a standardized metric for structural equation modeling (SEM) investigations, enabling direct comparisons of retaliatory dynamics across diverse industries, including airlines, hospitality, telecommunications, banking, and retail.

Psychological Construct

The psychological construct measured by this instrument is retaliatory negative word-of-mouth. Within the broader taxonomy of consumer complaining behavior (CCB), negative word-of-mouth (NWOM) comprises informal, person-to-person communications between consumers concerning their unfavorable evaluations of products, service personnel, or corporate entities. In the framework established by Grégoire and Fisher (2008), NWOM is conceptualized not simply as informational transmission, but as an aggressive, retribution-motivated behavior directed at damaging the offending firm’s public image and customer acquisition capacity.

The construct encompasses three tightly aligned behavioral dimensions captured by the scale items:

• Active Dissemination of Unfavorable Accounts: The conscious, proactive initiation of communication designed to spread negative appraisals of the firm across the consumer’s immediate social network.
• Reputational Denigration: Engaging in explicit disparagement, characterization of the firm as incompetent or untrustworthy, and expressive venting of affective hostility to peers.
• Active Deterrence and Patronage Prevention: Direct behavioral persuasion targeting prospective consumers, explicitly advising acquaintances to divert patronage and choose alternative competitors.

This construct is distinct from constructive feedback, direct voicing to company personnel, or formal legal recourse. Because retaliatory NWOM operates within private or public social spaces rather than within corporate feedback loops, it deprives the firm of immediate opportunities for service recovery while compounding economic losses through asymmetric negative information diffusion.

Theoretical Framework

The Negative Word-of-Mouth Scale is anchored in the integration of Cognitive Appraisal Theory, Equity Theory, and theories of Psychological Contract Violation. Central to this theoretical architecture is the cognitive appraisal process formulated by Richard Lazarus, which posits that emotional and behavioral reactions to adverse events depend on primary appraisal (evaluating the personal significance of an encounter) and secondary appraisal (assessing available coping options and attribution of blame).

When an organization commits a severe service failure—especially one perceived as deliberate, avoidable, or accompanied by unfair recovery practices—customers appraise the event as a breach of fairness. Under Equity Theory (Adams, 1965), interpersonal exchanges operate on principles of distributive, procedural, and interactional equity. When a firm violates these tenets, customers experience perceived injustice. If the consumer had previously invested significant relationship capital, loyalty, or trust, the violation is appraised through the lens of betrayal: the customer perceives that the firm has intentionally exploited or disregarded their goodwill.

This appraisal of betrayal generates intense negative affect, predominantly moral outrage and anger, which in turn triggers a desire for revenge. In evolutionary and social psychology frameworks, revenge serves to deter future mistreatment and re-establish perceived equity by restoring power parity between the victim and the transgressor. When direct confrontation is unavailable, ineffective, or deemed inadequate to punish the transgressor, individuals employ indirect aggression. In a commercial context, retaliatory negative word-of-mouth functions as this indirect retaliatory mechanism. By denigrating the firm and diverting potential revenues to competitors, the aggrieved customer imposes concrete financial and social costs on the firm, balancing the perceived equity ledger.

Crucially, Grégoire and Fisher demonstrated the “love becomes hate” effect: customers with the highest prior relationship quality experience the most profound sense of betrayal following an unresolved failure, subsequently exhibiting higher propensities to engage in retaliatory NWOM than consumers with low prior relationship investment.

Validity

The psychometric validity of the Negative Word-of-Mouth Scale has been corroborated across numerous rigorous empirical investigations:

• Content and Face Validity: Initial item generation by Grégoire and Fisher (2008) utilized comprehensive literature reviews of consumer complaint behavior and qualitative panels of service failure victims. Expert academic judges confirmed that the three items comprehensively capture the core facets of retaliatory interpersonal communication—spreading negative information, denigration, and overt deterrence—while excluding extraneous coping mechanisms.
• Convergent Validity: In confirmatory factor analyses, all standardized item loadings consistently exceed .85, demonstrating statistical significance at p < .001. The average variance extracted (AVE) exceeds .75, substantially eclipsing the accepted benchmark of .50 (Fornell & Larcker, 1981). This confirms that the variance explained by the underlying latent construct is far greater than measurement error variance.
• Discriminant Validity: Grégoire and Fisher (2008) verified that the NWOM construct achieves discriminant validity relative to closely related constructs, including direct aggression (e.g., confronting employees), third-party complaining (e.g., reporting to media or regulatory agencies), patronage reduction (switching behavior), and desire for revenge. In nested model comparisons using chi-square difference testing, fixing the correlation between NWOM and adjacent constructs to unity significantly degraded model fit. Furthermore, the square root of the AVE for NWOM is greater than its inter-construct correlations with other behavioral dimensions.
• Nomological and Predictive Validity: The scale demonstrates excellent nomological validity within complex structural equations. As theoretically predicted, NWOM is positively predicted by customer betrayal and desire for revenge, and negatively predicted by distributive and interactional justice during recovery attempts. Furthermore, the scale accurately predicts sustained customer defection and brand equity erosion across diverse industry panels.

Reliability

The Negative Word-of-Mouth Scale exhibits outstanding reliability across diverse demographic cohorts, service categories, and experimental conditions:

• Internal Consistency: In the initial validation study conducted by Grégoire and Fisher (2008), the scale demonstrated high internal consistency, with a Cronbach’s alpha ($lpha$) of .91 and a composite reliability (CR) of .91 in cross-sectional airline customer samples. Subsequent longitudinal and cross-sectional studies by Grégoire, Laufer, and Tripp (2010) and Grégoire, Tripp, and Legoux (2009) have consistently replicated alpha coefficients ranging from .89 to .95.
• Item-Total Correlations: Corrected item-total correlations for each of the three items routinely exceed .75, indicating that each item contributes uniquely and substantially to the underlying construct without redundancy.
• Temporal Stability: In longitudinal assessments spanning service failure events, recovery attempts, and post-resolution follow-ups (e.g., across intervals of two to eight weeks), test-retest correlations have demonstrated the instrument’s sensitivity to situational changes while preserving high internal reliability across measurement waves.

Factor Analysis

Empirical evaluations using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) confirm that the Negative Word-of-Mouth Scale is strictly unidimensional.

Confirmatory Factor Analysis (CFA) Results

In structural equation modeling analyses utilizing maximum likelihood estimation, the three-item specification demonstrates model fit and high factor saturation:

• Standardized Factor Loadings: In empirical studies, standardized factor loadings ($lambda$) are exceptionally high and uniformly distributed:
  • Item 1: $lambda pprox .88 – .94$
  • Item 2: $lambda pprox .90 – .95$
  • Item 3: $lambda pprox .84 – .89$
• Model Fit Indices: When modeled within a multi-construct structural measurement system, overall measurement models incorporating the NWOM scale yield fit statistics that comfortably exceed conventional psychometric standards:
  • Comparative Fit Index (CFI) > .97
  • Tucker-Lewis Index (TLI) > .96
  • Root Mean Square Error of Approximation (RMSEA) < .05
  • Standardized Root Mean Square Residual (SRMR) < .04

Because a three-item single-construct model has zero degrees of freedom when evaluated in total isolation (just-identified), its factor validity is confirmed when embedded in multi-factor measurement models alongside antecedent constructs (betrayal, anger) and parallel retaliatory constructs (direct confrontation, third-party complaining). In all such models, modification indices reveal no significant cross-loadings or correlated error terms among the three items.

Instrument / Measurement Tool

• Instrument Name: Negative Word-of-Mouth Scale (NWOM)
• Target Construct: Retaliatory negative word-of-mouth behavior following a service failure
• Original Authors: Yany Grégoire and Robert J. Fisher (2008)
• Number of Items: 3 items
• Response Format: 7-point Likert scale ranging from 1 (“Strongly disagree”) to 7 (“Strongly agree”)
• Administration Time: Less than 1 minute (self-administered paper-and-pencil, online survey, or post-service assessment)
• Target Population: Consumers who have experienced a service failure, product defect, or perceived unfair corporate interaction
• Scoring Procedure: All items are positively worded (reflecting higher levels of negative word-of-mouth). An overall score is computed by calculating the arithmetic mean (or sum) of the three items. A higher composite score indicates a greater propensity and behavioral intensity of spreading negative word-of-mouth and denigrating the organization.

Permissions & Fee and Test Year

The scale was developed and published in 2008 in the Journal of the Academy of Marketing Science. Under standard academic publishing conventions, the three items may be utilized without fee for non-commercial academic, pedagogical, and scientific research purposes, provided that proper scholarly attribution is given to Grégoire and Fisher (2008). For commercial deployment, inclusion in proprietary diagnostic software, or integration into fee-generating corporate assessment suites, permissions must be obtained via the copyright holder (Springer Science+Business Media / Academy of Marketing Science) or through the Copyright Clearance Center (CCC).

References

• Adams, J. S. (1965). Inequity in social exchange. In L. Berkowitz (Ed.), Advances in Experimental Social Psychology (Vol. 2, pp. 267–299). Academic Press. https://doi.org/10.1016/S0065-2601(08)60108-2
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
• Grégoire, Y., & Fisher, R. J. (2008). Customer betrayal and retaliation: When your best customers become your worst enemies. Journal of the Academy of Marketing Science, 36(2), 247–261. https://doi.org/10.1007/s11747-007-0054-0
• Grégoire, Y., Laufer, D., & Tripp, T. M. (2010). A comprehensive model of customer retaliation: How customer betrayal, anger, and desire for revenge drive aggressive behaviors against firms. Journal of the Academy of Marketing Science, 38(6), 738–758. https://doi.org/10.1007/s11747-009-0186-5
• Grégoire, Y., Tripp, T. M., & Legoux, R. (2009). When customer love turns into customer hate: The temporal dynamics of customer revenge and avoidance. Journal of Marketing, 73(6), 18–32. https://doi.org/10.1509/jmkg.73.6.18
• Lazarus, R. S. (1991). Emotion and Adaptation. Oxford University Press.
• Rousseau, D. M. (1995). Psychological Contracts in Organizations: Understanding Written and Unwritten Agreements. SAGE Publications. https://doi.org/10.4135/9781452231594

Items of the Scale