Retaliatory Behavior (Avoidance) (RB)

1. Abstract

The Retaliatory Behavior (Avoidance) (RB) scale is a four-item self-report psychometric instrument developed by Yany Grégoire, Thomas M. Tripp, and Renaud Legoux (2009) to assess a consumer’s behavioral motivation and enacted strategy to withdraw from and terminate their commercial relationship with a service provider following a severe service failure or perceived betrayal. Rooted in cognitive appraisal theory and theories of relational justice and revenge, the instrument captures passive retaliation through avoidance—operationalized as spending less money, ceasing patronage, terminating the commercial bond, and withdrawing business. Unlike active retaliatory constructs that encompass direct aggressive acts such as vindictive complaining, public negative word-of-mouth, or third-party dispute escalation, the avoidance sub-dimension reflects a customer’s deliberate, self-protective, and punitive psychological detachment. The instrument employs a 7-point Likert response format ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”), with composite scores derived by averaging across the four items. Extensive empirical validation across longitudinal structural equation modeling cohorts demonstrates exceptional psychometric properties, including robust internal consistency (Cronbach’s alpha typically exceeding .90, composite reliability > .92), unequivocal unidimensionality via confirmatory factor analysis (CFA standardized factor loadings > .80), and clear discriminant validity from active revenge behaviors, negative emotional states (such as rage and betrayal), and overall relationship satisfaction. The scale plays a foundational role in services marketing, consumer psychology, relationship management, and organizational dispute resolution research.

2. Keywords

Retaliatory Behavior, Avoidance, Customer Disengagement, Service Failure, Customer Revenge, Relationship Termination, Cognitive Appraisal Theory, Consumer Psychology, Customer Betrayal, Psychometrics

3. Authors

The Retaliatory Behavior (Avoidance) scale was conceptualized, operationalized, and psychometrically validated by:

• Yany Grégoire, Ph.D. — Professor of Marketing and holder of the Chair in Service Experience Enhancement, Department of Marketing, HEC Montréal, Montreal, Quebec, Canada. Dr. Grégoire is an internationally recognized expert in customer relationship management, service failure and recovery, customer revenge, and online complaining dynamics.
• Thomas M. Tripp, Ph.D. — Professor of Management and Associate Dean for Faculty Affairs, Carson College of Business, Washington State University, Vancouver, Washington, USA. Dr. Tripp specializes in organizational justice, workplace conflict, workplace revenge, and interpersonal forgiveness.
• Renaud Legoux, Ph.D. — Associate Professor of Marketing, Department of Marketing, HEC Montréal, Montreal, Quebec, Canada. Dr. Legoux’s research focuses on consumer satisfaction, service dynamics, consumer judgment, and arts marketing.

4. Purpose

The primary objective of the Retaliatory Behavior (Avoidance) (RB) scale is to provide a standardized, psychometrically sound, and reliable measurement tool for capturing customers’ behavioral avoidance and systematic commercial disengagement following an adverse service failure. In commercial exchanges, when a service failure occurs and subsequent service recovery efforts are perceived as deficient, unjust, or insulting, consumers undergo profound psychological distress. Historically, marketing literature focused predominantly on active voice or vocal complaining as the primary consequence of customer dissatisfaction, frequently relying on Albert O. Hirschman’s classical Exit, Voice, and Loyalty framework. However, early operationalizations of “exit” frequently conflated involuntary attrition, competitive switching due to price or convenience, and hostile, retaliatory avoidance driven by moral outrage.

Grégoire, Tripp, and Legoux (2009) developed the Retaliatory Behavior (Avoidance) scale to resolve this empirical ambiguity. The instrument measures avoidance specifically as an aggressive, retaliatory, or self-protective coping mechanism rather than mere passive migration to a competitor. In their longitudinal investigation of the “love becomes hate” phenomenon, the authors demonstrated that previously loyal, high-relationship-quality customers experience a poignant sense of betrayal when firms fail them. These betrayed customers often seek not merely to express voice, but to punish the firm. While some consumers enact active revenge (such as spreading malicious word-of-mouth, initiating third-party legal or regulatory complaints, or confronting frontline personnel), a substantial proportion choose retaliatory avoidance. By cutting off contact, withdrawing capital, and starving the organization of customer lifetime value, the consumer wields relationship termination as a punitive weapon.

In academic research, the scale is applied to test structural models of customer relationship deterioration, consumer grudge-holding, service recovery paradoxes, and the longitudinal decay or escalation of punitive motivations over time. In applied commercial settings and organizational management, the instrument assists customer experience analysts, service quality auditors, and risk management teams in diagnosing the severity of customer alienation. Unlike standard customer churn analytics—which merely track transactional absence post hoc—the RB scale captures the psychological intentionality, emotional conviction, and moral finality of the customer’s choice to sever ties permanently.

5. Psychological Construct

The psychological construct captured by the Retaliatory Behavior (Avoidance) scale is punitive consumer avoidance, conceptualized as a focused behavioral response characterized by the deliberate, proactive, and permanent severance of all commercial, financial, and relational transactions with a firm. Within the taxonomy of interpersonal conflict and consumer psychology, avoidance can be enacted through diverse motivations. It may arise from simple economic calculus (e.g., discovering a cheaper alternative), physical inconvenience (e.g., geographic relocation), or passive inertia. However, within the framework of Grégoire et al. (2009), avoidance is conceptualized specifically as a retaliatory coping strategy.

This construct is delineated by several distinct cognitive, affective, and behavioral characteristics:

• Relational Severance and Finality: The customer does not merely pause purchases temporarily; they actively “cut off the relationship” (Item 3) and “withdrew my business” (Item 4). The psychological contract between the individual and the brand is severed, dismantling any prior relational capital, brand identification, or brand advocacy.
• Economic Starvation as Retaliation: By deliberately “spending less money” (Item 1) and “stopping doing business” (Item 2), the consumer recognizes that financial patronage is their primary leverage over the firm. Withdrawing patronage serves both as an instrument of punishment (depriving the firm of revenue) and as a boundary-setting mechanism to prevent recurring exploitation.
• Self-Protective Emotional Distancing: Relational avoidance protects the consumer from recurring negative emotional arousal, vulnerability, and systemic stress. By withdrawing, the customer establishes an impassable psychological boundary that restores cognitive equilibrium and perceived autonomy.
• Distinction from Active Revenge: Whereas active retaliatory behaviors (such as vindictive online reviews, physical property damage, or verbal altercations) require substantial ongoing investments of time, emotional energy, and resources, avoidance represents a conservation-of-resources coping mechanism. It is a calculated silent boycott that accomplishes retribution through deliberate absence.

The construct operates on a continuum: lower scores reflect continued engagement, willingness to reconcile, or minimal behavioral change, whereas higher scores signify categorical, uncompromising relational severance and complete transactional defection.

6. Theoretical Framework

The Retaliatory Behavior (Avoidance) scale is grounded in several foundational psychological and organizational frameworks:

Cognitive Appraisal Theory

Originally formulated by Richard S. Lazarus and Susan Folkman (1984), cognitive appraisal theory posits that individuals continuously evaluate environmental encounters in relation to their well-being, personal goals, and core values. Primary appraisal assesses whether an event is threatening, harmful, or challenging. When a service organization commits a severe error, customers appraise the incident as a personal harm or relational breach. Secondary appraisal evaluates the individual’s coping options and resources to manage the stressor. Coping mechanisms are broadly divided into problem-focused coping (altering the problematic person-environment transaction) and emotion-focused coping (regulating the emotional response). Avoidance operates simultaneously as an emotion-focused mechanism (distancing oneself from an emotionally toxic entity) and a problem-focused mechanism (permanently removing oneself from the risk of future operational failures).

Organizational Justice and Injustice Theories

The scale integrates justice frameworks originating in equity theory (Adams, 1965) and modern multidimensional justice models encompassing distributive justice (fairness of outcomes), procedural justice (fairness of dispute policies), and interactional justice (interpersonal dignity and respect). When consumers perceive systemic injustice that the firm refuses to correct during service recovery encounters, they experience a profound psychological state known as customer betrayal. Injustice upsets the equilibrium of social exchange, triggering an internal imperative to re-establish fairness. When customers conclude that institutional restoration of justice is impossible, avoidance becomes a legitimate, restorative moral act.

The “Love Becomes Hate” Paradox

A central theoretical premise of Grégoire et al. (2009) is the dual-faceted nature of customer relationship strength. In relationship marketing, high relational quality (characterized by trust, commitment, and brand love) is conventionally viewed as an organizational buffer against defection. However, the authors demonstrated that when relational betrayal occurs, this prior connection magnifies the perceived injustice. Highly committed customers possess heightened expectations of fair treatment; when those expectations are shattered, their disillusionment transforms their positive affect into intense hatred and betrayal. Consequently, these customers exhibit a higher propensity for sustained retaliatory avoidance compared to transactional customers who lacked prior relational investments.

7. Validity

The psychometric validity of the Retaliatory Behavior (Avoidance) scale has been established across multiple independent cohorts, longitudinal structural modeling samples, and empirical experimental replications.

Construct and Content Validity

Content validity was confirmed through rigorous scale development protocols involving literature reviews, expert panel evaluations by marketing methodologists, and pre-testing on consumers who had experienced documented service breakdowns. Expert judges verified that each of the four items explicitly captures commercial disengagement and avoidance without confounding active aggressive behaviors.

Convergent Validity

Convergent validity is robustly demonstrated using the criteria established by Fornell and Larcker (1981). Across empirical studies by Grégoire and colleagues, all four items demonstrate standardized factor loadings exceeding the conventional .70 threshold (typically ranging from .82 to .94). Furthermore, the Average Variance Extracted (AVE) for the avoidance construct consistently exceeds .70, well above the .50 benchmark, confirming that the majority of observed variance is attributable to the underlying theoretical construct rather than measurement error.

Discriminant Validity

Discriminant validity was established via rigorous comparative structural equation modeling. In Grégoire, Tripp, and Legoux (2009), the square root of the AVE for the Avoidance construct was demonstrated to be substantially higher than any inter-construct correlation with related latent variables, including:

• Active Retaliatory Behaviors / Direct Revenge (e.g., vindictive complaining, public negative word-of-mouth; inter-construct correlations typically ranging between .30 and .55, confirming non-redundancy);
• Customer Betrayal and Moral Outrage (affective precursors that correlate positively with avoidance, yet clearly model as distinct antecedents);
• Desire for Reconciliation (which exhibits a strong negative correlation with the avoidance subscale, confirming expected opposing trajectories).

Nested confirmatory factor analysis model comparisons showed that constraining the correlation between avoidance and active revenge to unity (1.0) resulted in a statistically significant deterioration in model fit ($\Delta\chi^2, p < .001$), proving empirical separability.

Predictive and Nomological Validity

Nomological validity is affirmed through the scale’s predictable placement within structural networks of antecedents and consequences. The scale correlates positively with customer betrayal, distributive injustice, and relational tenure, while negatively predicting future customer lifetime value, cross-buying behaviors, and brand advocacy. Longitudinal tracking across multiple time waves ($T_1$ through $T_3$ spanning several months) confirms that avoidance motives remain stable or escalate over time when firms fail to provide adequate restitution, demonstrating predictive validity for actual customer attrition.

8. Reliability

The Retaliatory Behavior (Avoidance) scale demonstrates exemplary reliability across diverse methodological investigations and demographic samples:

• Internal Consistency: In the foundational study by Grégoire, Tripp, and Legoux (2009), Cronbach’s alpha ($lpha$) for the four-item scale exceeded .90 across all longitudinal measurement waves (Wave 1: $lpha = .91$; Wave 2: $lpha = .93$; Wave 3: $lpha = .93$). Subsequent studies replicating the scale in airline, telecommunications, hospitality, and retail banking contexts report alpha coefficients consistently ranging from .89 to .95.
• Composite Reliability (CR): Structural equation modeling assessments reveal composite reliability metrics exceeding .92, well surpassing the standard .70 reliability threshold and demonstrating exceptional internal consistency among the four indicators.
• Item-Total Correlations: Corrected item-total correlations for all four items consistently exceed .75, indicating that each item contributes uniquely and strongly to the overarching construct without creating indicator redundancy.
• Test-Retest Stability: While retaliatory avoidance is responsive to subsequent service recovery interventions, longitudinal panel data indicate high stability coefficients across multi-week intervals in the absence of firm intervention (test-retest $r > .75$), confirming measurement stability.

9. Factor Analysis

The underlying dimensionality of the four-item scale was validated using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

Exploratory Factor Analysis (EFA)

Initial exploratory factor analytic procedures using maximum likelihood extraction with oblique rotations (promax and oblimin) on customer service failure datasets consistently extract a single dominant factor possessing an eigenvalue well in excess of 2.8, accounting for more than 75% to 85% of the total variance across the four items. Scree plots display a distinct inflection point after the first factor, confirming unidimensionality.

Confirmatory Factor Analysis (CFA)

In structural modeling, CFA models containing the four items loading onto a single latent Avoidance factor demonstrate excellent fit indices. Typical structural equation modeling fit indices reported in literature include:

• $\chi^2 / ext{df} < 2.50$ (indicating acceptable parsimony-adjusted model fit);
• Comparative Fit Index (CFI) $ge .98$;
• Tucker-Lewis Index (TLI) $ge .97$;
• Root Mean Square Error of Approximation (RMSEA) $le .05$ (90% CI [.000, .078]);
• Standardized Root Mean Square Residual (SRMR) $le .03$.

Individual standardized factor loadings ($lambda$) are uniformly high across all items:

• Item 1 (“I spent less money…”): $lambda = .81 – .86$
• Item 2 (“I stopped doing business…”): $lambda = .88 – .93$
• Item 3 (“I cut off the relationship…”): $lambda = .90 – .94$
• Item 4 (“I withdrew my business…”): $lambda = .89 – .93$

All standardized loadings are statistically significant ($p < .001$), confirming that the four observed indicators reflect the latent construct with minimal measurement residual.

10. Instrument / Measurement Tool

• Test Type: Self-report psychometric rating scale / behavioral intention and enactment inventory.
• Target Population: Adult consumers, commercial clients, and service users who have encountered a documented service failure, recovery failure, or perceived organizational betrayal.
• Number of Items: 4 items.
• Response Format: 7-point Likert scale ranging from 1 = Strongly Disagree to 7 = Strongly Agree.
• Administration Time: Approximately 1 to 2 minutes.
• Scoring Procedure: The composite score is computed by calculating the arithmetic mean of all 4 items (sum of responses divided by 4). Scores range from 1.00 to 7.00.
• Interpretation:
  • 1.00 to 2.49: Minimal or negligible avoidance; relationship intact; willingness to maintain commercial transactions.
  • 2.50 to 4.49: Moderate avoidance; partial disengagement, reduced spending, or ongoing contemplation of relationship severance.
  • 4.50 to 7.00: High retaliatory avoidance; categorical severance of commercial ties, active business withdrawal, and complete relational termination.
• Reverse-Scored Items: None. All four items are positively keyed toward avoidance and commercial disengagement.

11. Permissions & Fee and Test Year

The Retaliatory Behavior (Avoidance) scale was formally introduced in 2009 in the seminal peer-reviewed article by Yany Grégoire, Thomas M. Tripp, and Renaud Legoux, published in the Journal of Marketing (American Marketing Association). The instrument is widely accessible within the public academic domain for non-commercial scientific, educational, and empirical research purposes without royalty fees, provided proper academic citation and attribution are given to the original authors and the American Marketing Association. Commercial utilization, integration into proprietary enterprise customer-experience management platforms, or incorporation into commercial diagnostic software may require formal copyright clearance from the American Marketing Association (AMA).

12. References

• Adams, J. S. (1965). Inequity in social exchange. Advances in Experimental Social Psychology, 2, 267-299. 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., Tripp, T. M., & Legoux, R. (2009). When customer love turns into lasting hate: The effects of relationship strength and time on customer revenge and avoidance. Journal of Marketing, 73(6), 18-32. https://doi.org/10.1509/jmkg.73.6.18
• Hirschman, A. O. (1970). Exit, voice, and loyalty: Responses to decline in firms, organizations, and states. Harvard University Press.
• Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing Company.

13. Items of the Scale