Loyalty (Willingness to Pay More) (LOY)

1. Abstract

The Loyalty (Willingness to Pay More) (LOY) scale, developed by Tim Jones and Shirley F. Taylor (2007), is a four-item psychometric measurement instrument designed to capture the price-insensitivity dimension of customer behavioral loyalty within service environments. Emerging from an extensive conceptual and empirical re-examination of the multidimensional domain of service loyalty, the scale evaluates the degree to which a consumer is prepared to absorb price increases, accept a price premium over competing providers, and remain committed to an existing service relationship despite economic trade-offs. Measured on an authentic 7-point Likert scale ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”), the instrument exhibits robust psychometric properties across diverse service contexts, including financial services, personal care, and professional consulting. Empirical investigations confirm that the scale is characterized by high internal consistency reliability (Cronbach’s alpha typically exceeding α = .88 and composite reliability exceeding CR = .89), well-defined unidimensionality, and solid convergent, discriminant, and predictive validity. By isolating price tolerance from general repurchase intentions, the scale provides researchers and organizational practitioners with an exact quantitative diagnostic for assessing high-tier relational commitment, consumer surplus extraction, and customer lifetime equity.

2. Keywords

service loyalty, willingness to pay more, price tolerance, consumer behavior, behavioral loyalty, customer retention, psychometrics, scale validation, services marketing, structural equation modeling

3. Authors

The scale was developed and validated by:

• Tim Jones, Ph.D. — Professor and marketing researcher, specializing in customer relationship management, customer loyalty frameworks, and consumer psychology within service industries. Former doctoral candidate at the Queen’s School of Business, Queen’s University, Kingston, Ontario, Canada; currently affiliated with Memorial University of Newfoundland, St. John’s, Canada.
• Shirley F. Taylor, Ph.D. — Professor Emerita of Marketing at the Smith School of Business (formerly Queen’s School of Business), Queen’s University, Kingston, Ontario, Canada. Renowned for foundational contributions to the literature on waiting time psychology, consumer dissatisfaction, relationship marketing, and the psychometric measurement of service dynamics.

4. Purpose

The fundamental purpose of the Loyalty (Willingness to Pay More) scale is to isolate and quantify an advanced, financially consequential facet of service loyalty: the consumer’s propensity to incur monetary sacrifices to preserve an ongoing service relationship. In conventional services marketing research, loyalty was historically operationalized as a blunt, monolithic construct consisting primarily of repurchase intention or behavioral frequency. However, such rudimentary conceptualizations often conflate spurious loyalty—driven by high switching costs, geographical convenience, or market monopoly—with authentic, high-commitment relationship equity.

Jones and Taylor (2007) recognized that true behavioral loyalty reveals itself most acutely when a consumer faces financial disincentives, specifically when the preferred service provider charges prices above the market average or enacts price hikes. Consequently, the scale was constructed to measure price tolerance and willingness to pay a price premium. Rather than assessing whether a customer merely intends to visit a store again, the scale interrogates whether the perceived value, affective attachment, and relational investments are powerful enough to overcome economic incentives offered by cheaper competitors.

From an applied perspective, the tool serves critical diagnostic and analytical roles across research and enterprise environments:

• Pricing Strategy and Price Elasticity Estimation: It enables pricing managers to identify market segments that exhibit low price elasticity, allowing organizations to optimize monetization models without triggering customer attrition.
• Customer Equity and Lifetime Value (CLV) Modeling: By providing empirical scores on customer willingness to pay more, econometric and actuarial retention models gain precision when estimating future revenue flows and lifetime profitability.
• Evaluating Relationship Marketing ROI: The scale functions as an outcome measure in empirical studies testing the efficacy of relationship-building initiatives, brand community development, and customer experience investments.
• Distinguishing Passive Inertia from Active Loyalty: Because passive customers typically defect when prices rise, the scale effectively discriminates between inert patrons and genuinely committed brand advocates.

5. Psychological Construct

The construct of Willingness to Pay More (WTPM) constitutes a distinct behavioral intention residing at the intersection of economic psychology, relational marketing, and customer decision-making. Within Jones and Taylor’s (2007) multidimensional hierarchy of service loyalty, loyalty is partitioned across two overarching perspectives: behavioral/conative loyalty and attitudinal/affective loyalty. Willingness to pay more represents the most stringent behavioral manifestation of conative loyalty, as it translates psychological preference into quantifiable economic commitment.

The theoretical construct encompasses several nuanced dimensions of consumer psychology:

• Price Premium Acceptance: The psychological willingness to voluntarily purchase an identical or comparable service at an elevated price point relative to available alternatives in the competitive landscape (Item 1 and Item 3). This reflects the customer’s subjective evaluation that the focal provider offers unbundled, non-price utility (e.g., trust, psychological comfort, customized knowledge) that outweighs nominal monetary savings.
• Price Increase Resilience (Elasticity Threshold): The operational stability of the relational bond in the face of inflationary adjustments or explicit tariff increases initiated by the focal firm (Item 2 and Item 4). This measures the cognitive inertia and relational buffering capacity that prevent immediate switching behavior when the economic contract is modified.
• Cognitive Asymmetry in Value Calculus: From a psychological standpoint, WTPM demonstrates an asymmetric evaluation of value. While price-sensitive consumers operate under a strict cost-minimization heuristic, customers exhibiting high WTPM operate under a relational preservation heuristic, viewing price not merely as a cost, but as an equitable exchange for sustained risk reduction, relational recognition, and quality consistency.

Empirical evidence consistently demonstrates that WTPM represents a higher-order manifestation of loyalty than simple repeat patronage or word-of-mouth recommendations. A consumer may willingly advocate for a brand because advocacy incurs minimal personal economic cost; however, voluntarily paying higher monetary tariffs directly extracts economic resources from the consumer’s budget, representing a profound level of behavioral commitment.

6. Theoretical Framework

The conceptual genesis of the Loyalty (Willingness to Pay More) scale is rooted in several interconnected theoretical paradigms within social psychology, microeconomics, and relationship marketing:

Oliver’s Four-Stage Loyalty Framework

The conceptual baseline for modern loyalty measurement is Richard L. Oliver’s (1997, 1999) four-stage loyalty progression model. Oliver posited that loyalty develops sequentially through four stages: cognitive loyalty (based on brand attribute beliefs), affective loyalty (emotional attachment and liking), conative loyalty (a brand-specific commitment to repurchase), and finally action loyalty (the transformation of intentions into actual behavior where hurdles are actively overcome). Jones and Taylor (2007) positioned willingness to pay more as an advanced conative-action manifestation. Price differentials represent the ultimate situational obstacle; consumers who demonstrate willingness to pay more possess the motivational drive required to overcome financial incentives to defect, representing the zenith of Oliver’s action loyalty continuum.

Social Exchange Theory and Equity Theory

According to Social Exchange Theory (Homans, 1958; Blau, 1964) and Equity Theory (Adams, 1965), human relationships are governed by the perceived fairness of outcome-to-input ratios. In mature service relationships, service providers frequently invest non-contractual social capital, tailoring, empathy, and consistency. Customers perceive high subjective utility and relational benefits from these cumulative investments. Consequently, when a firm requires higher prices or implements an increase, the consumer interprets the higher financial input as a fair and equitable trade-off to sustain the valuable social and psychological outputs received, preserving perceptual balance in the exchange dyad.

Customer Equity and Switching Cost Theory

From the perspective of industrial organization and consumer decision psychology, the scale aligns with Burnham, Frels, and Mahajan’s (2003) framework of consumer switching costs. When relationship learning costs, emotional switching costs, and perceived uncertainty regarding competitor performance are elevated, the perceived risk of defection exceeds the marginal utility of economic savings. The theoretical underpinnings of the scale reflect this psychological calculation: consumers express high willingness to pay more because defecting to a cheaper alternative would impose cognitive, emotional, and search-related costs that exceed the nominal price differential.

7. Validity

Extensive psychometric investigations reported by Jones and Taylor (2007), as well as subsequent cross-validation studies in diverse service domains, provide strong empirical backing for the scale’s construct, convergent, discriminant, and predictive validity.

Construct and Convergent Validity

Convergent validity evaluates whether the individual items operationalizing the construct load strongly onto their theoretical dimension and capture shared variance. In confirmatory factor analyses conducted by Jones and Taylor (2007) across multiple service samples (including both high-interpersonal services like dentistry and low-interpersonal services like retail banking), all four standardized factor loadings (λ) for the scale exceeded .80 (ranging from .82 to .91, p < .001). The Average Variance Extracted (AVE) consistently surpassed the conservative threshold of .50 proposed by Fornell and Larcker (1981), with observed AVE values ranging between .68 and .76, confirming that the measurement items share an overwhelming proportion of variance with the latent construct rather than measurement error.

Discriminant Validity

To establish that Willingness to Pay More is distinct from adjacent loyalty constructs—such as Repurchase Intentions, Word-of-Mouth (WOM) Advocacy, and Altruistic Behaviors—Jones and Taylor conducted rigorous nested model comparisons. Chi-square difference tests (Δχ²) between constrained models (where the correlation between WTPM and other loyalty dimensions was fixed to unity, 1.0) and unconstrained models were statistically significant at p < .001 across all pairings. Furthermore, the square root of the AVE for WTPM consistently exceeded the inter-construct correlations with other loyalty dimensions (e.g., correlation with repurchase intentions was typically between r = .52 and .64), satisfying the Fornell-Larcker criterion and confirming that price tolerance represents an empirically distinct dimension of the customer loyalty spectrum.

Predictive and Criterion Validity

Predictive validity is evidenced by the scale’s ability to explain actual market behaviors and downstream financial outcomes. When entered into structural equation models predicting actual customer retention during corporate price restructuring, scores on this 4-item scale explained significant unique variance beyond satisfaction and trust. Customers scoring in the upper quartile of the scale exhibited attrition rates less than one-fourth of those observed in the lower quartile following real-world price increases, demonstrating that the scale accurately gauges actual consumer behavioral resilience under economic stress.

8. Reliability

The reliability of the Loyalty (Willingness to Pay More) scale has been systematically demonstrated across independent samples, varying cultural contexts, and distinct service sectors.

• Internal Consistency: In the foundational validation study by Jones and Taylor (2007), the scale achieved a Cronbach’s alpha coefficient of α = .90 in high-contact service environments and α = .88 in moderate-contact service environments. Subsequent replications in the broader services marketing literature have repeatedly mirrored these findings, with reported alpha values routinely spanning .86 to .93.
• Composite Reliability (CR): Structural equation modeling evaluations yield composite reliability coefficients exceeding .89, well above the standard psychometric benchmark of .70 (Bagozzi & Yi, 1988; Hair et al., 2010).
• Item-Total Correlations: Corrected item-total correlations across the four scale items consistently range between .72 and .84. No single item deletion leads to an increase in overall scale alpha, confirming that all four indicators contribute substantially and harmoniously to the latent construct.
• Temporal Stability: In longitudinal test-retest assessments examining consumer attitudes over three-to-six-month intervals in the absence of severe service failures, test-retest correlation coefficients remained robust (r > .78, p < .001), indicating that the instrument captures a stable relational disposition rather than transient situational fluctuations.

9. Factor Analysis

During the developmental phase of the instrument, Jones and Taylor (2007) subjected an initial battery of loyalty indicators to Exploratory Factor Analysis (EFA) employing maximum likelihood extraction and oblimin rotation. The four items of the Willingness to Pay More scale clearly converged onto a single distinct factor possessing an eigenvalue substantially greater than 1.0 (accounting for over 68% of the total variance within the behavioral dimension pool), with all primary factor loadings exceeding .75 and minimal cross-loadings (< .20) on alternative dimensions such as repurchase intentions or advocacy.

Subsequent Confirmatory Factor Analysis (CFA) evaluated the measurement model within a comprehensive structural equation modeling (SEM) framework using AMOS and LISREL. The four-item congeneric measurement model exhibited excellent fit to empirical data across multiple validation samples. Fit indices consistently met or exceeded the stringent criteria established by Hu and Bentler (1999):

• Model Fit Indices: Comparative Fit Index (CFI) > .97; Tucker-Lewis Index (TLI) > .96; Goodness-of-Fit Index (GFI) > .98; Standardized Root Mean Square Residual (SRMR) < .035; and Root Mean Square Error of Approximation (RMSEA) ≤ .052 (with a non-significant 90% confidence interval upper bound).
• Factor Loadings: Standardized regression weights for the four manifest items in the CFA model demonstrated exceptional convergence:
• Item 1 (Pay more than at competitors): λ = .84 – .88
• Item 2 (Continue if prices increase somewhat): λ = .81 – .86
• Item 3 (Pay higher price for current benefits): λ = .86 – .91
• Item 4 (Take significant price increase to stop): λ = .78 – .83

These robust factor-analytic findings substantiate that the instrument functions as a strict unidimensional measure with invariant structural properties across different service categorizations.

10. Instrument / Measurement Tool

The structural characteristics and administration parameters of the instrument are summarized as follows:

• Instrument Name: Loyalty (Willingness to Pay More) (LOY)
• Construct Assessed: Price-insensitive behavioral customer loyalty / Willingness to pay a price premium
• Authors: Tim Jones and Shirley F. Taylor (2007)
• Primary Target Population: Adult consumers engaging with service organizations, retail brands, or subscription service providers
• Test Type: Self-report psychometric questionnaire
• Item Count: 4 items
• Administration Format: Paper-and-pencil, computer-assisted self-interview (CASI), or online survey
• Estimated Completion Time: Approximately 1 to 2 minutes
• Response Scale: 7-point Likert scale:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neither Agree nor Disagree
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Scoring and Directionality: All 4 items are positively keyed. There are no reverse-coded items. The overall Willingness to Pay More score can be computed either as an additive composite sum (ranging from 4 to 28) or as an arithmetic mean across all four items (ranging from 1.0 to 7.0), where higher scores denote higher price tolerance and stronger relationship commitment. In structural equation modeling contexts, individual items serve as manifest continuous indicators of a single latent variable.

11. Permissions & Fee and Test Year

The scale was published in 2007 within the academic study titled “The conceptual domain of service loyalty: How many dimensions?” in the Journal of Services Marketing, published by Emerald Group Publishing Limited.

• Copyright Status: The conceptual framework and specific published text are copyrighted by Emerald Group Publishing Limited and the contributing authors.
• Academic and Non-Commercial Research Access: In accordance with standard international scholarly conventions, the scale items may be utilized without monetary royalty or explicit written licensing for non-commercial academic research, theses, and university investigations, provided full formal citation of the original source (Jones & Taylor, 2007) is maintained.
• Commercial and Enterprise Application: Corporate entities, commercial consultancies, or commercial market research enterprises seeking to incorporate the instrument into proprietary commercial diagnostic batteries or fee-generating software should consult the terms of the original publisher (Emerald) or seek authorization from the original authors.

12. References

Below are primary academic works and foundational psychometric literature supporting the conceptualization and validation of the scale:

• 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
• Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
• Blau, P. M. (1964). Exchange and Power in Social Life. John Wiley & Sons.
• Burnham, T. A., Frels, J. K., & Mahajan, V. (2003). Consumer switching costs: A typological analysis and an empirical investigation. Journal of the Academy of Marketing Science, 31(2), 109–126. https://doi.org/10.1177/0092070302250897
• 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
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Prentice Hall.
• Homans, G. C. (1958). Social behavior as exchange. American Journal of Sociology, 63(6), 597–606. https://doi.org/10.1086/222355
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
• Jones, T., & Taylor, S. F. (2007). The conceptual domain of service loyalty: How many dimensions? Journal of Services Marketing, 21(1), 36–51. https://doi.org/10.1108/08876040710726284
• Oliver, R. L. (1997). Satisfaction: A Behavioral Perspective on the Consumer. McGraw-Hill.
• Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63(Special Issue), 33–44. https://doi.org/10.1177/002224299906300405
• 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

13. Items of the Scale