1. Abstract
The Preferential Treatment Expectation from Provider (PTEP) scale is a concise, four-item psychometric measurement instrument designed to capture customer expectations regarding elevated service personalization, customized concessions, and tailored privileges within long-term service relationships. Developed by Paul G. Patterson and Thammanun Smith in 2003 as part of an extensive cross-cultural investigation into switching barriers and customer retention, the PTEP assesses the degree to which an individual customer anticipates that their service provider will extend special favors, proactively seek out favorable financial or contractual terms, deliver expedited support during service breakdowns, and adapt procedures to accommodate idiosyncratic preferences. Grounded in social exchange theory, equity theory, and relational benefits frameworks, the instrument operates on a unidimensional continuum. Evaluated across diverse service sectors—such as medical, legal, financial, and travel services—and cross-validated in both individualistic (Australia) and collectivistic (Thailand) national contexts, the scale demonstrates robust psychometric integrity. Confirmatory factor analysis has consistently confirmed a single-factor structure with standardized factor loadings typically exceeding .70. The scale exhibits high internal consistency, with Cronbach’s alpha coefficients regularly surpassing α = .80 across independent cultural samples, alongside established convergent, discriminant, and criterion-related validities relative to relationship commitment, switching costs, and customer loyalty. The PTEP represents a pivotal diagnostic and theoretical instrument in relationship marketing, organizational psychology, and consumer behavior research, clarifying how preferential expectations serve as positive relational switching barriers that bind consumers to incumbent service firms.
2. Keywords
preferential treatment, customer expectations, relational benefits, switching barriers, customer retention, service relationship, social exchange theory, cross-cultural marketing, relationship marketing, psychometrics
3. Authors
The scale was developed and validated by:
- Paul G. Patterson, Ph.D. — Professor of Marketing, School of Marketing, UNSW Business School, University of New South Wales, Sydney, Australia. Renowned researcher in international service marketing, service recovery, and business-to-business relational dynamics.
- Thammanun Smith, Ph.D. — Researcher and academic affiliated with the School of Marketing at the University of New South Wales, specializing in cross-cultural consumer psychology, service switching barriers, and Asian consumer behavior.
4. Purpose
The primary purpose of the Preferential Treatment Expectation from Provider (PTEP) scale is to measure and quantify the magnitude of specialized, non-standard accommodations and individualized attention that consumers believe they are entitled to receive from an established service organization or professional service provider. In relationship marketing literature, service providers often distinguish between standard transactional quality and relationship-oriented treatment. The PTEP was created to isolate the specific psychological anticipation of “special status” that emerges as an outcome of sustained patronage.
From a theoretical perspective, understanding preferential treatment expectations allows researchers to investigate the transition from basic service satisfaction to deeply entrenched customer lock-in. While negative switching barriers (e.g., contractual exit penalties, high financial search costs, setup friction) hold customers hostage through economic coercion, positive relational barriers foster affective commitment and voluntary retention. The expectation of receiving preferential treatment functions as a powerful positive barrier: customers recognize that terminating the relationship with an incumbent provider means forfeiting accumulated relational equity and returning to baseline, unprivileged treatment with a novel vendor.
In applied and empirical contexts, the PTEP serves several critical functions:
- Service Tiering and VIP Program Diagnostics: Firms offering loyalty programs, private banking, concierge medicine, or elite client advisory can assess whether their high-value customers actually harbor heightened expectations, and whether service personnel successfully satisfy those expectations without creating operational strain.
- Cross-Cultural Comparative Research: Cultural orientations significantly modulate interpersonal expectations. In high-context, collectivist, or high-power-distance societies, personal relationships (guanxi, personal connections, or interpersonal harmony) frequently dictate that service providers bend rules or accord special favors. The PTEP allows scholars to test cultural invariance and variance in customer entitlement across markets.
- Service Failure and Recovery Analysis: When customers who maintain high PTEP scores encounter a service disruption, their perceived psychological contract breach can be substantially more severe than that experienced by transactional customers. Measuring baseline PTEP scores enables researchers to model moderating effects on post-recovery satisfaction and customer churn.
5. Psychological Construct
The psychological construct operationalized by the PTEP is the anticipation of individualized, preferential relational benefits within a service dyad. Rather than capturing a general demand for baseline competence or core technical performance (which are standard quality expectations), the construct reflects a customer’s perceived relational entitlement to idiosyncratic modifications of standard operating procedures.
The PTEP construct encompasses four distinct behavioral and cognitive manifestations:
- Anticipation of Special Favors: The belief that the service employee or firm will perform non-contractual, benevolent acts outside formal service guidelines to benefit the customer. This facet reflects relational goodwill and mutual reciprocity.
- Proactive Financial or Value Advocacy (“Looking Out for Deals”): The customer’s belief that the service provider will actively scan opportunities to save the customer money, optimize their contractual arrangements, or alert them to preferential terms without the customer having to solicit such assistance.
- Priority Intervention During Crises: The expectation that when unexpected obstacles, logistical failures, or urgent dilemmas emerge, the provider will triage the focal customer’s problem ahead of transactional patrons, delivering rapid, personalized resolution.
- Accommodation of Personal Preferences: The expectation of cognitive customization, wherein the provider remembers, respects, and systematically alters standard procedures to cater to the customer’s unique, subjective habits, desires, and scheduling demands.
Psychologically, these expectations are grounded in the psychological contract developed between consumer and service provider. Over repeated interactions, customers perceive that their continuity of patronage, prompt payment, and social capital contribution represent relational investments. Consequently, they anticipate complementary social and economic dividends from the firm. Importantly, when preferential treatment expectations are met, they foster strong psychological switching costs; however, when unmet, they evoke strong feelings of unfairness and relational betrayal.
6. Theoretical Framework
The PTEP scale is anchored in three foundational theoretical pillars: Social Exchange Theory (SET), Equity Theory, and the Relational Benefits Framework.
Social Exchange Theory and the Norm of Reciprocity: Formulated by theorists such as George Homans and Peter Blau, SET posits that human interactions are sustained through reciprocal exchanges of tangible and intangible resources. In ongoing service relationships, when a customer provides consistent patronage, positive word-of-mouth, and relational loyalty, the psychological norm of reciprocity mandates that the service provider return value beyond the strict stipulations of the formal contract. The PTEP captures the customer’s cognitive representation of this reciprocal obligation in the form of expected concessions, favors, and personalized service delivery.
Equity Theory: Proposed by J. Stacy Adams, equity theory asserts that individuals evaluate relationships by comparing their input-to-outcome ratio with that of reference others. If a long-tenured customer perceives that their substantial inputs (years of patronage, financial expenditure, brand advocacy) yield the exact same generic outcomes provided to a first-time, transient client, a state of psychological inequity arises. Thus, high expectations of preferential treatment emerge as a natural cognitive mechanism to preserve perceived equity between inputs and service outcomes.
Relational Benefits Model: Conceptualized in the relationship marketing paradigm (notably by Gwinner, Gremler, and Bitner), relational benefits are classified into confidence benefits, social benefits, and special treatment benefits. Special treatment benefits include economic advantages (price discounts, customized deals) and customized service delivery (faster queues, personal scheduling). Patterson and Smith leveraged this architecture to demonstrate that preferential treatment expectations act as a “positive switching barrier”—an adhesive force derived from perceived value and privilege that makes switching to a competitor psychologically unappealing, because the consumer must sacrifice those earned relational advantages.
7. Validity
The psychometric validity of the PTEP was rigorously established across multiple developmental stages and empirical studies involving diverse consumer cohorts:
Construct and Convergent Validity: In the initial cross-national validation by Patterson and Smith (2003), the scale was subjected to confirmatory factor analysis (CFA) within structural equation modeling frameworks across both Australia (representing an individualistic, Western market) and Thailand (representing a collectivistic, high-context Asian market). Across both samples, all four items exhibited high, statistically significant standardized factor loadings (typically ranging from .71 to .86, p < .001). The Average Variance Extracted (AVE) consistently exceeded the recommended .50 threshold, establishing robust convergent validity.
Discriminant Validity: Discriminant validity was examined relative to adjacent constructs, including interpersonal relationship quality, perceived switching costs (procedural, financial, and relational), overall satisfaction, and customer propensity to stay. In both cross-cultural samples, the AVE for the PTEP construct was substantially higher than the squared correlation between PTEP and any other latent construct in the measurement model (satisfying the Fornell-Larcker criterion). This proved that preferential treatment expectation is empirically distinct from general satisfaction, social rapport, or structural switching barriers.
Criterion and Predictive Validity: The scale exhibited strong predictive validity regarding customer retention metrics. Structural equation models indicated that preferential treatment significantly predicted customer propensity to stay, operating both directly and indirectly through positive switching barriers. The path coefficients connecting preferential treatment to retention were robust across high-involvement professional service contexts (e.g., medical specialists, financial advisors, legal counsel, and business travel agencies).
8. Reliability
The PTEP scale demonstrates exceptionally high internal consistency and measurement stability across heterogeneous populations and diverse service environments:
- Cronbach’s Alpha (α): In the seminal Patterson and Smith (2003) investigation, the instrument achieved Cronbach’s alpha coefficients well above the conventional academic benchmark of .70:
- Australian Sample: α = .84
- Thai Sample: α = .81
- Composite Reliability (CR): Composite reliability scores computed via structural equation modeling surpassed .82 across both cultural datasets, indicating that the latent construct reliably captures variance free from random measurement error.
- Inter-Item Correlations: Item-to-total correlations for all four items consistently range between .58 and .76, confirming that each item contributes unique yet congruent variance to the unified latent factor without evidence of item redundancy.
9. Factor Analysis
The latent structure of the PTEP was validated using rigorous exploratory and confirmatory factor analytic procedures:
Exploratory Factor Analysis (EFA): During initial scale purification across multiple service categories, principal components and maximum likelihood factor extractions with varimax and oblimin rotations revealed a single dominant factor with an eigenvalue exceeding 2.5, explaining more than 65% of the total variance across candidate items. Scree plot analyses unequivocally confirmed a one-factor solution.
Confirmatory Factor Analysis (CFA): Full-sample CFA was executed to assess goodness-of-fit and measurement invariance across cultural groups. Model parameters and fit statistics showed excellent congruence with empirical data:
- Goodness-of-Fit Index (GFI): ≥ .96
- Comparative Fit Index (CFI): ≥ .97
- Tucker-Lewis Index (TLI): ≥ .95
- Root Mean Square Error of Approximation (RMSEA): ≤ .055 (with 90% confidence intervals spanning .028 to .074)
- Standardized Factor Loadings (λ):
- Item 1 (Special favors): λ = .74 – .82
- Item 2 (Looking out for good deals): λ = .71 – .79
- Item 3 (Priority help during problems): λ = .78 – .86
- Item 4 (Accommodating personal preferences): λ = .72 – .81
Multigroup invariance tests confirmed metric invariance across cultural contexts, establishing that the factor loadings operate equivalently regardless of respondents’ national or cultural background.
10. Instrument / Measurement Tool
The PTEP is structured as follows:
- Instrument Name: Preferential Treatment Expectation from Provider (PTEP)
- Instrument Type: Self-report psychometric questionnaire
- Number of Items: 4 items
- Dimensionality: Unidimensional (Single-factor construct)
- Response Scale: 7-point Likert-type response format:
- 1 = Strongly Disagree
- 2 = Disagree
- 3 = Somewhat Disagree
- 4 = Neutral / Neither Agree nor Disagree
- 5 = Somewhat Agree
- 6 = Agree
- 7 = Strongly Agree
- Scoring Procedure: All items are positively phrased; no reverse scoring is required. An overall scale score is computed by calculating the arithmetic mean of all four items (ranging from 1.00 to 7.00), with higher scores representing higher customer expectations of special privileges and preferential accommodation.
- Administration Time: Approximately 1 to 2 minutes.
- Target Context: Interpersonal, business-to-consumer (B2C), and business-to-business (B2B) professional and relational service environments.
11. Permissions & Fee and Test Year
Publication Year: 2003
Copyright and Permissibility: The PTEP scale was developed and published by Paul G. Patterson and Thammanun Smith in the Journal of Retailing, copyrighted by New York University and published by Elsevier Inc. Under standard academic fair use principles, the scale items may be utilized without fee for non-commercial educational, scientific, and scholarly research purposes, provided that appropriate bibliographic attribution is given to the original authors and journal. Commercial applications, inclusion in proprietary diagnostic software, or corporate training systems require formal permission or licensing via Elsevier’s RightsLink service or direct consultation with the copyright holders.
12. 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
- Blau, P. M. (1964). Exchange and Power in Social Life. John Wiley & Sons.
- Gwinner, K. P., Gremler, D. D., & Bitner, M. J. (1998). Relational benefits in services industries: The customer’s perspective. Journal of the Academy of Marketing Science, 26(2), 101–114. https://doi.org/10.1177/0092070398262002
- Homans, G. C. (1958). Social behavior as exchange. American Journal of Sociology, 63(6), 597–606. https://doi.org/10.1086/222355
- Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.1177/002224378001700405
- Patterson, P. G., & Smith, T. (2001). Relationship benefits in service industries: A cross-cultural study. Journal of International Marketing, 9(2), 90–113. https://doi.org/10.1509/jimk.9.2.90.19888
- Patterson, P. G., & Smith, T. (2003). A cross-cultural study of switching barriers and propensity to stay with service providers. Journal of Retailing, 79(2), 107–120. https://doi.org/10.1016/S0022-4359(03)00009-5