Positive Word-of-Mouth Behaviour (PWOMB)

Abstract

The Positive Word-of-Mouth Behaviour (PWOMB) scale is a specialized psychometric instrument developed by Tom J. Brown, Thomas E. Barry, Peter A. Dacin, and Richard F. Gunst (2005) to measure the actual reported frequency and communicative depth with which consumers share favorable evaluations, experiences, and recommendations regarding a service organization or retail enterprise. Distinguishing itself from conventional behavioral intention indicators, the PWOMB operationalizes word-of-mouth (WOM) as a multi-target, manifested communicative act. Comprising seven items evaluated on a seven-point frequency-anchored Likert-type format (ranging from 1 = Never to 7 = Very Frequently), the instrument measures the degree to which an individual actively informs others about their purchase relationship, mentions specific organizational personnel (e.g., frontline staff and service representatives), speaks favorably about the overarching enterprise, and directs proactive interpersonal recommendations across tiered social networks (e.g., family members, close friends, and general acquaintances). Psychometric evaluations within both structural equation modeling (SEM) and confirmatory factor analysis (CFA) frameworks confirm that the scale exhibits robust unidimensionality, high internal consistency reliability (composite reliability coefficients exceeding .90; Cronbach’s alpha ranging from .92 to .94), convergent validity, and distinct discriminant validity separating actual communicative behaviors from antecedent behavioral intentions and customer satisfaction constructs. While originally validated within high-involvement retail and service contexts (specifically automotive dealership sales and post-purchase service interactions), the PWOMB scale demonstrates broad generalizability across healthcare, professional services, hospitality, financial institutions, and digital consumer environments.

Keywords

Positive Word-of-Mouth, PWOMB, Consumer Behavior, Service Marketing, Interpersonal Communication, Customer Loyalty, Psychometrics, Behavioral Intentions, Customer Advocacy, Retailing

Authors

The Positive Word-of-Mouth Behaviour (PWOMB) measurement model was conceptualized, operationalized, and statistically validated by an interdisciplinary team of researchers in marketing science and applied statistical methodology:

• Tom J. Brown, Ph.D. — Professor of Marketing, School of Business, Oklahoma State University, Stillwater, Oklahoma, United States. Renowned for foundational investigations into corporate reputation, consumer identification, and frontline service climate.
• Thomas E. Barry, Ph.D. — Professor Emeritus of Marketing, Cox School of Business, Southern Methodist University, Dallas, Texas, United States. Specialist in advertising effectiveness, marketing communications theory, and promotional strategy.
• Peter A. Dacin, Ph.D. — Professor of Marketing, Smith School of Business, Queen’s University, Kingston, Ontario, Canada. Widely cited for empirical work in social identity, consumer judgment, and corporate brand associations.
• Richard F. Gunst, Ph.D. — Professor Emeritus of Statistical Science, Dedman College of Humanities and Sciences, Southern Methodist University, Dallas, Texas, United States. Fellow of the American Statistical Association, specializing in regression methodologies, structural linear modeling, and applied variance analysis.

Purpose

In consumer psychology and relationship marketing, word-of-mouth communication represents one of the most powerful catalysts of marketplace behavior. Historically, marketing literature relied heavily on global purchase-intention scales or single-item customer advocacy indices, such as the Net Promoter Score (NPS), to proxy actual consumer evangelism. However, psychometric theorists recognized a persistent intention-behavior gap: an individual’s expressed willingness to recommend a service provider does not consistently translate into realized, contextualized communicative action within naturalistic social ecosystems.

The primary purpose of the PWOMB scale is to furnish researchers and organizational diagnosticians with a psychometrically rigorous, behavior-focused instrument that isolates actual, retrospective communicative episodes from latent, prospective intentions. Developed within the conceptual framework of Brown et al. (2005), the scale captures not only whether a consumer speaks favorably about a commercial firm, but also the communicative dispersion and social penetration of those messages across varying social ties (strong versus weak ties).

The research applications of the PWOMB scale are extensive. Academic investigators deploy the instrument to map structural antecedents of customer advocacy, evaluating how constructs such as customer satisfaction, perceived service value, relational commitment, affective identification, and perceived fairness drive actual communicative output. Furthermore, the scale functions as an essential outcome variable in experiments analyzing service failure and recovery paradoxes, brand community engagement, and digital-to-offline referral transmission.

In practical and managerial applications, the PWOMB serves as a diagnostic benchmarking instrument. Enterprises deploy the scale within post-transaction tracking audits to discern which customer segments actively function as organic brand ambassadors. Because the scale explicitly differentiates between mentions of frontline personnel and mentions of the broader institutional brand, organizational leaders can isolate whether interpersonal employee rapport or corporate operational excellence serves as the primary engine driving market-level informal transmission.

Psychological Construct

The psychological construct operationalized by the PWOMB scale is positive word-of-mouth behavior, defined as informal, non-commercial interpersonal communications directed toward other consumers regarding the positive attributes, evaluations, and usage experiences of a specific service provider, brand, or retail organization. Unlike negative word-of-mouth, which functions primarily as a coping mechanism for cognitive dissonance, grievance vent, or altruistic warning behavior, positive word-of-mouth represents an active manifestation of consumer satisfaction, brand attachment, and social capital building.

Although the PWOMB instrument functions psychometrically as an essentially unidimensional scale, substantive psychological decomposition reveals three interrelated behavioral facets embedded within its seven indicators:

1. Transactional Disclosure and Relational Salience

This facet assesses the baseline communicative act of publicly disclosing one’s relational association with the provider (e.g., explicitly mentioning that one bought an asset or procured a service from the target organization and making sure conversational partners are aware of the relationship). Psychologically, this reflects self-enhancement and social signaling: consumers share patronage decisions when the identity of the brand is congruent with their desired personal identity and self-concept.

2. Employee-Focused versus Firm-Focused Advocacy

The scale deliberately bifurcates verbal advocacy into praise directed at individual frontline human actors (e.g., sales professionals, technicians, client relationship managers) and praise directed toward the macro-level organizational entity. In high-contact service environments, interpersonal chemistry and perceived employee benevolence generate powerful affective responses that consumers articulate through narrative storytelling to external peers.

3. Network Dispersion Across Social Tie Strengths

Crucially, the PWOMB evaluates the directional dissemination of recommendations across differentiated socio-relational boundaries. Based on Mark Granovetter’s sociological framework of tie strength, communicative risk and perceived accountability vary dramatically depending on the social recipient:

• Strong Ties (Close Friends and Family): Recommending a service provider to immediate family or intimate confidants entails substantial interpersonal vulnerability; if the service provider underperforms, the recommender risks interpersonal friction and loss of social trust. Positive word-of-mouth directed to strong ties signifies exceptionally high psychological conviction.
• Weak Ties (Acquaintances): Mentioning a service provider to casual acquaintances represents broad network diffusion, functioning primarily as utilitarian knowledge-sharing rather than emotional validation.

Theoretical Framework

The PWOMB scale is grounded in several foundational paradigms of social psychology, interpersonal communication, and consumer relationship dynamics:

1. The Theory of Planned Behavior and the Intention-Behavior Distinction

A central theoretical premise of Brown et al. (2005) is rooted in Icek Ajzen’s Theory of Planned Behavior (TPB). Psychometric and empirical research historically conflated behavioral intentions (what an individual plans or envisions doing in hypothetical scenarios) with executed behaviors (what an individual has actually undertaken within a defined temporal window). Brown and colleagues demonstrated that while positive word-of-mouth intentions mediate the relationship between customer satisfaction and actual positive word-of-mouth behavior, intention alone accounts for only a fraction of behavioral variance. Volitional constraints, conversational opportunities, situational triggers, and social contexts dictate whether an underlying propensity crystallizes into spoken behavior.

2. Social Exchange Theory and Reciprocity Norms

Grounding word-of-mouth in Social Exchange Theory (pioneered by George Homans and Peter Blau), positive advocacy is conceptualized as an informal currency of reciprocity. When a service encounter exceeds cognitive expectations or yields profound relational value, customers perceive a psychological imbalance in the social exchange equation. Engaging in unsolicited, unpaid positive verbal endorsement on behalf of the service provider functions as a non-monetary compensatory mechanism designed to reward the organization and its frontline personnel.

3. Social Identity and Self-Presentation Theory

From the perspective of Erving Goffman’s self-presentation theory and Henri Tajfel’s Social Identity Theory, positive word-of-mouth is never purely altruistic. Consumers utilize public endorsements to curate their own social identities. Recommending a high-status, highly competent, or uniquely ethical enterprise allows the speaker to project expertise, discerning taste, and social utility to their peer group.

Validity

The psychometric integrity of the PWOMB scale has been extensively corroborated across diverse empirical studies utilizing rigorous structural equation modeling, exploratory factor analysis, and multi-trait multi-method approaches.

Construct and Content Validity

Content validity was established through systematic literature reviews, expert panel evaluations, and iterative pre-testing during the original scale development process. Items were carefully drafted to capture real-world communicative acts rather than passive satisfaction states. In the initial empirical investigation conducted by Brown et al. (2005) across a large-scale automotive dealership customer database (N = 2,525), confirmatory factor analysis revealed that all seven manifest indicators loaded significantly (p < .001) onto a solitary latent positive word-of-mouth behavior factor, with standardized factor loadings ranging from .73 to .89, demonstrating exceptional construct validity.

Convergent and Discriminant Validity

Convergent validity is substantiated by average variance extracted (AVE) calculations substantially exceeding the recommended .50 threshold, routinely surfacing between .65 and .78 in replication literature. Discriminant validity was stringently confirmed using the Fornell-Larcker criterion and nested-model chi-square difference testing:

• PWOM Intentions vs. PWOM Behavior: Although correlated (typically r = .55 to .68), constrained two-factor models where the correlation between intentions and behaviors was fixed to unity produced a statistically significant worsening of model fit (Δχ² > 150.0, p < .0001), confirming that intentions and actual behaviors represent distinct psychological constructs.
• Customer Satisfaction: The scale consistently discriminates from cumulative customer satisfaction and service quality scales, exhibiting shared variance lower than the individual constructs’ AVE estimates.

Predictive and Nomological Validity

The PWOMB scale demonstrates robust nomological validity by behaving precisely as predicted by relational theory. In structural equation models, PWOMB is positively predicted by customer commitment, affective organizational identification, perceived service equity, and positive word-of-mouth intentions. Furthermore, cross-sectional and longitudinal retail studies establish that high scores on the PWOMB significantly predict customer retention rates, secondary customer referrals, and reduced price sensitivity over multi-year periods.

Reliability

The internal consistency and temporal stability of the PWOMB scale have been documented across multiple consumer samples and cultural environments.

Internal Consistency Reliability

In the foundational research by Brown et al. (2005), the internal consistency reliability of the seven-item measure was exemplary:

• Cronbach’s Alpha (α): Reported at .92 in the primary retail sample, well above the conventional benchmark of .70 or the stringent .80 threshold for applied measurement.
• Composite Reliability (CR): Estimated between .92 and .94 in structural equation modeling configurations.
• Item-Total Correlations: Corrected item-to-total correlations for all seven indicators routinely exceed .65, with none falling below .58.

Replication and Temporal Stability

Subsequent psychometric replications across alternative service sectors (e.g., banking, higher education, medical care) have reported sustained alpha coefficients ranging from .89 to .95. Test-retest reliability evaluations conducted across 4- to 6-week temporal intervals have demonstrated stability coefficients (Pearson’s r) exceeding .80, indicating that while verbal behaviors fluctuate based on interpersonal conversational opportunities, individual communicative tendencies regarding a focal provider remain highly stable over moderate time horizons.

Factor Analysis

Extensive factor-analytic evaluations confirm that the PWOMB scale demonstrates a robust single-factor (unidimensional) structure, while accommodating methodologically sound second-order or bifactor conceptualizations where network tie strength is explicitly modeled.

Exploratory Factor Analysis (EFA)

Principal axis factoring and maximum likelihood EFA procedures conducted on initial calibration samples reveal a clean single-factor solution. The first unrotated factor typically accounts for 65% to 73% of the total item variance, with an initial eigenvalue consistently exceeding 4.5. Subsequent factors yield eigenvalues substantially below 0.70, satisfying the Kaiser-Guttman criterion and scree plot inspections for definitive unidimensionality.

Confirmatory Factor Analysis (CFA) Fit Statistics

In the primary empirical validation by Brown et al. (2005), CFA modeling utilizing maximum likelihood estimation demonstrated exceptional goodness-of-fit indices across full measurement models:

• Chi-Square / Degrees of Freedom Ratio (χ²/df): Typically ≤ 3.0 in well-specified baseline iterations.
• Comparative Fit Index (CFI): Consistently ≥ .96 to .98, well exceeding the .95 standard for superior fit.
• Tucker-Lewis Index (TLI): Consistently ≥ .95 to .97.
• Root Mean Square Error of Approximation (RMSEA): Consistently between .038 and .055 (with 90% confidence intervals bounded below .065).
• Standardized Root Mean Square Residual (SRMR): Observed below .035.

Standardized factor loadings for the seven individual items consistently load strongly onto the central latent construct:

• Item 1 (Mentioned purchase to others): λ ≈ .74 – .80
• Item 2 (Made others aware of transaction): λ ≈ .73 – .78
• Item 3 (Spoke positively about personnel/salesperson): λ ≈ .78 – .84
• Item 4 (Spoke positively about firm/dealership): λ ≈ .85 – .89
• Item 5 (Recommended to family members): λ ≈ .82 – .87
• Item 6 (Recommended to acquaintances): λ ≈ .79 – .83
• Item 7 (Recommended to close friends): λ ≈ .86 – .90

Instrument / Measurement Tool

• Instrument Name: Positive Word-of-Mouth Behaviour Scale (PWOMB)
• Original Authors: Tom J. Brown, Thomas E. Barry, Peter A. Dacin, and Richard F. Gunst (2005)
• Construct Assessed: Retrospective frequency of positive, non-commercial interpersonal recommendations and communications regarding a service or retail provider
• Item Count: 7 items
• Administration Format: Self-report questionnaire; compatible with paper-and-pencil, computer-assisted web interview (CAWI), or mobile digital surveys
• Estimated Completion Time: 2 to 3 minutes
• Target Population: Adult consumers (ages 18+) who have completed a transaction or possess an established service relationship with a designated organization
• Response Scale: 7-point Likert-type frequency scale:
  • 1 = Never
  • 2 = Very Rarely
  • 3 = Rarely
  • 4 = Occasionally / Sometimes
  • 5 = Frequently
  • 6 = Very Frequently
  • 7 = Always / Continuously
• Scoring Methodology:
  • All 7 items are positively worded; there are no reverse-coded items.
  • Composite Score: Calculated by computing the unweighted arithmetic mean of all 7 items (ranging from 1.00 to 7.00), or by summing all item scores (ranging from 7 to 49). Higher scores reflect greater frequency and social penetration of positive word-of-mouth behavior.
  • Structural Sub-indices (Optional): Researchers may examine sub-aggregates such as Strong-Tie Advocacy (mean of Items 5 and 7), Weak-Tie Advocacy (Item 6), and Frontline Advocate Salience (Item 3).

Permissions & Fee and Test Year

The Positive Word-of-Mouth Behaviour (PWOMB) scale was officially published in 2005 in the peer-reviewed scholarly article entitled “Spreading the Word: Investigating Antecedents of Consumers’ Positive Word-of-Mouth Intentions and Behaviors in a Retailing Context” in the Journal of the Academy of Marketing Science (Volume 33, Issue 2, pages 123–138).

Licensing and Academic Use: The scale items were published within the public scholarly domain for scientific research purposes. Academic scholars, university students, and non-commercial institutional researchers may utilize and adapt the scale without paying royalty fees, contingent upon citing the original publication (Brown et al., 2005). Commercial entities, corporate market research consultancies, and diagnostic survey platforms deploying the scale for commercial gain should evaluate standard copyright permissions through the journal publisher (Springer / Academy of Marketing Science) or the corresponding authors.

References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
• Blau, P. M. (1964). Exchange and power in social life. John Wiley & Sons.
• Brown, T. J., Barry, T. E., Dacin, P. A., & Gunst, R. F. (2005). Spreading the word: Investigating antecedents of consumers’ positive word-of-mouth intentions and behaviors in a retailing context. Journal of the Academy of Marketing Science, 33(2), 123–138. https://doi.org/10.1177/0092070304268417
• De Matos, C. A., & Rossi, C. A. V. (2008). Word-of-mouth communications in marketing: A meta-analytic review of the antecedents and moderators. Journal of the Academy of Marketing Science, 36(4), 578–596. https://doi.org/10.1007/s11747-008-0121-1
• 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
• Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360–1380. https://doi.org/10.1086/225469
• Maxham, J. G., & Netemeyer, R. G. (2002). Modeling customer perceptions of complaint handling over time: The effects of perceived justice on satisfaction and intent. Journal of Retailing, 78(4), 239–252. https://doi.org/10.1016/S0022-4359(02)00100-8
• Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31–46. https://doi.org/10.1177/002224299606000203

Items of the Scale