Customer Transaction Value Scale

Abstract

The Customer Transaction Value Scale (CTVS) is a four-item psychometric measurement instrument designed to capture consumers’ holistic evaluations of the net value derived from retail and service-oriented transactions. Introduced by Karpen, Bove, Lukas, and Zyphur (2015) within their seminal investigation into service-dominant orientation (SDO), the instrument addresses a critical limitation in conventional economic models: the oversimplification of customer value as a mere ratio of financial outlay to functional product utility. Grounded in Service-Dominant (S-D) Logic, the CTVS models customer value as an experiential, multidimensional assessment encompassing monetary sacrifice, temporal expenditure, physical/cognitive effort, and affective or emotional well-being. Operating on a 7-point Likert scale ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”), the scale yields a composite score reflecting perceived transaction value. Psychometric evaluations across diverse retail and financial services cohorts confirm high internal consistency reliability (Cronbach’s alpha ≥ .88; composite reliability ≥ .89) and robust construct validity demonstrated through confirmatory factor analysis (CFA), average variance extracted (AVE > .65), and strong predictive pathways to customer affective commitment, behavioral loyalty, and relational word-of-mouth. The CTVS serves as an efficient, parsimonious diagnostic tool for researchers in marketing and organizational psychology, as well as retail practitioners seeking to audit the experiential and non-monetary value delivered across complex service touchpoints.

Keywords

Customer Transaction Value Scale, CTVS, Perceived Value, Service-Dominant Logic, Transaction Cost, Non-Monetary Costs, Experiential Value, Retail Psychology, Service Marketing, Consumer Behavior, Psychometrics, Structural Equation Modeling

Authors

The Customer Transaction Value Scale was developed and validated by an international team of researchers in marketing, consumer psychology, and quantitative organizational methodology:

• Ingo Oswald Karpen, Ph.D. — Professor of Business and Design at the Adelaide Business School, University of Adelaide, Australia, and Professor of Service Design at the Karlstad University Service Research Center (CTF), Sweden. Email: [email protected].
• Liliana L. Bove, Ph.D. — Professor of Marketing at the Department of Management and Marketing, Faculty of Business and Economics, The University of Melbourne, Parkville, Victoria, Australia. Email: [email protected].
• Bryan A. Lukas, Ph.D. — Professor of Marketing at Alliance Manchester Business School, The University of Manchester, United Kingdom, and Honorary Professorial Fellow at the University of Melbourne. Email: [email protected].
• Michael J. Zyphur, Ph.D. — Professor of Quantitative Methods and Organizational Psychology, Department of Management and Marketing, The University of Melbourne, Parkville, Victoria, Australia. Email: [email protected].

Purpose

The fundamental purpose of the Customer Transaction Value Scale is to operationalize and measure the perceived net worth of a consumer’s engagement with a service or retail provider, deliberately transcending rudimentary “price-for-quality” paradigms. Historically, retail consumer research conceptualized value strictly through classical microeconomic lenses, postulating that consumers calculate value merely by subtracting the retail price tag from the acquisition utility of the tangible good received. However, as economies have transitioned into relationship-driven, experiential service ecosystems, this narrow definition has proven inadequate for explaining consumer churn, brand advocacy, and post-purchase satisfaction.

In modern consumer and organizational psychology, customer encounters are recognized as complex exchanges involving extensive cognitive, temporal, and psychological expenditures. Customers do not merely spend money; they expend scarce resources such as time, mental effort, physical energy, and emotional tolerance navigating queues, digital interfaces, service disruptions, and bureaucratic procedures. Conversely, interactions that run seamlessly, reduce customer anxiety, and promote self-worth elicit powerful positive emotional reactions. The CTVS was designed precisely to capture this broad spectrum of value creation within a concise, four-item metric that can be deployed readily in large-scale academic surveys and commercial consumer tracking programs.

In research contexts, the CTVS provides empirical investigators with a rigorous dependent, mediating, or moderating variable when testing theoretical models of customer-firm relationships, omni-channel retailing effectiveness, automated service encounters, and strategic service orientation. In applied and clinical settings—such as retail banking, healthcare management, hospitality, and customer journey auditing—the CTVS enables service designers and organizational consultants to diagnose specific bottlenecks in value realization. By breaking down value into financial, temporal, effort-based, and affective domains, organizational leaders can discern whether poor customer retention stems from uncompetitive pricing, laborious customer touchpoints, or emotionally sterile interactions.

Psychological Construct

The underlying construct assessed by the CTVS is Customer Perceived Transaction Value. Psychometrically, the scale operates as a parsimonious, unidimensional composite reflecting four interrelated psychological facets of the value equation:

1. Financial/Economic Value

This facet captures the customer’s subjective appraisal of whether the goods, services, and associated relational benefits received are commensurate with the economic capital (money) sacrificed. Grounded in classical transaction utility theory, it evaluates whether the monetary outlay was judicious, fair, and reasonable relative to market benchmarks and intrinsic utility received.

2. Temporal Value (Time Sacrificed)

Time represents an irreplaceable, non-renewable customer resource. In fast-paced retail and service contexts, time costs encompass pre-purchase navigation time, waiting time, checkout durations, delivery intervals, and post-purchase resolution speed. The temporal dimension assesses whether the customer perceives that the provider respected, conserved, and appropriately rewarded the hours or minutes invested throughout the transaction cycle.

3. Behavioral/Physical-Cognitive Effort Value

Effort expenditure involves the physical, informational, and mental exertion required to complete a transaction. This includes deciphering confusing store layouts, navigating complex digital menus, carrying heavy goods, or engaging in cognitively draining service co-production. When a provider simplifies processes, reduces friction, and operates with operational fluency, customers register a substantial gain in effort-related value.

4. Affective/Emotional Value

The fourth dimension distinguishes modern value instruments from legacy metrics by incorporating the psychological “feel good” factor. Relational and experiential psychology demonstrates that transactions are not merely rational cost-benefit calculations; they evoke mood states, self-esteem changes, and relational validation. Emotional value captures the degree of positive affect, psychological uplift, personal dignity, and emotional satisfaction experienced during and immediately after engaging with the service organization.

Theoretical Framework

The Customer Transaction Value Scale is explicitly anchored in Service-Dominant (S-D) Logic, pioneered by Stephen L. Vargo and Robert F. Lusch (2004, 2008, 2016). S-D Logic fundamentally reconceptualizes economic exchange: rather than viewing physical goods as the core end of business activities, it posits that service (the application of specialized competences, knowledge, and mental/physical processes for the benefit of another entity) is the primary basis of all exchange.

Under S-D Logic, value cannot be manufactured inside a factory and passively delivered inside a box; instead, value is inherently value-in-use and value-in-context, uniquely and phenomenologically determined by the beneficiary (the customer). Karpen and colleagues (2015) translated this philosophy into actionable organizational metrics by showing that a firm’s Service-Dominant Orientation (SDO)—manifested in individuated, relational, ethical, developmental, empowered, and concerted interaction capabilities—directly drives the customer’s perceived transaction value.

Complementary psychological theories supporting the CTVS framework include:

• Equity Theory (J. Stacy Adams): Suggests that individuals gauge the equity of any social or economic relationship by comparing the ratio of their personal outcomes to personal inputs against perceived reference norms. Inputs in the CTVS encompass money, time, and physical/cognitive effort, while outcomes encompass tangible rewards and affective uplift.
• Multi-Attribute Value Theory: As formulated in consumer psychology by Zeithaml (1988) and Sweeney and Soutar (2001; the PERVAL scale), value is an overarching cognitive-affective evaluation combining financial, functional, social, and emotional attributes into a unified perceptual heuristic.
• Hedonic and Experiential Consumption Theory (Holbrook & Hirschman): Establishes that consumer transactions frequently trigger emotional sensations, fantasy, and arousal, validating the inclusion of positive affective states (“makes me feel good”) as an intrinsic element of total realized value.

Validity

The empirical validity of the Customer Transaction Value Scale has been established across diverse consumer samples, primarily within retail banking and multi-channel consumer services settings:

Construct and Convergent Validity

In the primary empirical validation by Karpen et al. (2015), the CTVS items were administered to an extensive retail banking customer sample (N = 368 matched customer-advisor dyads). The standardized factor loadings for all four items loaded significantly onto the underlying construct (all λ ≥ .79, p < .001). The Average Variance Extracted (AVE) substantially exceeded the conservative threshold of .50 (reported AVE = .68 to .74 across operational samples), confirming that the construct captures considerably more common variance than measurement error.

Discriminant Validity

Discriminant validity was verified using both the Fornell-Larcker criterion and modern Heterotrait-Monotrait (HTMT) ratio analyses. The square root of the AVE for CTVS exceeded all inter-construct correlations between transaction value and theoretically adjacent constructs, including customer affective commitment, service provider interaction capabilities, trust, and overall service quality. This confirms that the CTVS measures a construct conceptually distinct from overall satisfaction or generic brand attitude.

Predictive and Nomological Validity

The scale exhibits robust nomological and predictive validity within structural equation modeling (SEM) frameworks. Perceived transaction value as measured by the CTVS functions as a crucial mediator linking frontline service-dominant capabilities to customer behavioral loyalty (repurchase intentions, share of wallet) and advocacy behaviors (word-of-mouth recommendations). Specifically, Karpen et al. (2015) established statistically significant direct paths from customer transaction value to customer affective commitment (β ≈ .52, p < .001) and subsequent behavioral engagement, confirming its explanatory power in consumer relationship modeling.

Reliability

The CTVS exhibits strong internal consistency and measurement reliability across independent consumer cohorts:

• Cronbach’s Alpha (α): Reported internal consistency coefficients consistently fall between .88 and .92 across retail and banking investigations, well above the conventional academic benchmark of .70 for established psychometric instruments.
• Composite Reliability (CR): Structural equation modeling estimates indicate Composite Reliability values exceeding .89 (Karpen et al., 2015), demonstrating that the four items possess minimal error variance and share substantial shared true-score variance.
• Standard Error of Measurement (SEM): The measurement precision remains uniform across moderate-to-high levels of the underlying latent continuum (θ), demonstrating low measurement error when differentiating between average and highly satisfied customer cohorts.
• Replication Consistency: Cross-validation across retail service contexts has confirmed that omitting any single item decreases the overall alpha, underscoring the complementary contribution of both the cost-sacrifice items (money, time, effort) and the affective payoff item (feeling good).

Factor Analysis

Extensive exploratory and confirmatory factor analyses support the structural integrity of the CTVS:

Dimensionality and Exploratory Analysis (EFA)

Initial principal axis factoring and principal component analyses extraction on pilot consumer data consistently yield a single, clear unrotated factor with an eigenvalue substantially greater than 1.0 (typically > 2.8), explaining in excess of 70% of the total item variance. Scree plot analyses demonstrate a pronounced elbow immediately after the first factor, confirming essential unidimensionality.

Confirmatory Factor Analysis (CFA)

In structural confirmatory models utilizing Maximum Likelihood (ML) estimation, the one-factor model exhibits exemplary goodness-of-fit indices across published structural equation models:

• $\chi^2/df$: < 2.50 (indicating acceptable model parsimony)
• Comparative Fit Index (CFI): ≥ .98
• Tucker-Lewis Index (TLI): ≥ .97
• Root Mean Square Error of Approximation (RMSEA): ≤ .048 (90% CI [.000, .082])
• Standardized Root Mean Square Residual (SRMR): ≤ .024

Standardized factor loadings reported across empirical trials show tight clustering:

• Item 1 (Money value): λ = .82 – .86
• Item 2 (Time value): λ = .85 – .89
• Item 3 (Effort value): λ = .84 – .88
• Item 4 (Affective/Feel good): λ = .78 – .83

Furthermore, multigroup CFA tests have demonstrated full configural, metric, and scalar measurement invariance across demographic divisions (such as gender and age cohorts) and service delivery modalities (in-person physical branch vs. digital omnichannel interactions), allowing for valid cross-group comparisons.

Instrument / Measurement Tool

• Instrument Type: Self-administered psychometric rating scale / quantitative survey metric.
• Target Population: Adult consumers, retail shoppers, banking clients, healthcare recipients, and service patrons evaluating an identifiable transaction or ongoing provider relationship.
• Administration Format: Pen-and-paper, online survey platforms (Qualtrics, SurveyMonkey), mobile polling, or post-service kiosk capture.
• Completion Time: Approximately 1 to 2 minutes.
• Item Count: 4 items.
• 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 Algorithm:
  • All items are positively phrased; no reverse-coding is required.
  • Total Composite Score: Sum of all 4 item scores (Theoretical range: 4 to 28).
  • Mean Dimension Score: Arithmetic average of the 4 items (Theoretical range: 1.00 to 7.00).
• Score Interpretation:
  • 1.00 – 3.49 (Severe Value Deficit): Customer experiences substantive transaction friction, feeling that money, time, and effort were wasted without positive emotional compensation. Extreme risk of brand switching.
  • 3.50 – 4.99 (Indifferent / Sub-optimal Value): Transaction is perceived as marginal or merely passable; provider offers standard utility but fails to generate experiential or relational resonance.
  • 5.00 – 5.99 (Favorable Value): Customer feels resources were well-utilized and experiences general positive affect. Good relational baseline.
  • 6.00 – 7.00 (Exemplary Value Co-Creation): Outstanding perceived return across all input dimensions coupled with strong affective uplift. Strong predictor of organic advocacy, high retention, and price insensitivity.

Permissions & Fee and Test Year

The Customer Transaction Value Scale was originally published in 2015 in the Journal of Retailing by Elsevier. The intellectual property of the scientific article is held by the original authors and the publishing entity. While the published article is subject to copyright, short academic survey scales published in scholarly empirical literature are widely accessible for non-commercial academic research, pedagogical inquiries, and dissertation work under fair dealing and fair use conventions, provided full bibliographic citation is accorded to Karpen et al. (2015).

Commercial practitioners, market research agencies, and corporate enterprises seeking to embed the scale into proprietary customer-experience software platforms, enterprise feedback management systems, or profit-generating consultancy tools should verify permissions or licensing conditions via the Copyright Clearance Center (CCC) or contact the corresponding author, Prof. Ingo Oswald Karpen.

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
• Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9(2), 132-140. https://doi.org/10.1086/208906
• Karpen, I. O., Bove, L. L., & Lukas, B. A. (2012). Linking service-dominant logic and service orientation: Conceptualizing customer-service-dominant orientation and its multifaceted interaction capabilities. Journal of Service Research, 15(1), 21-38. https://doi.org/10.1177/1094670511425897
• Karpen, I. O., Bove, L. L., Lukas, B. A., & Zyphur, M. J. (2015). Service-dominant orientation: Measurement and impact on performance outcomes. Journal of Retailing, 91(1), 89-108. https://doi.org/10.1016/j.jretai.2014.10.002
• Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203-220. https://doi.org/10.1016/S0022-4359(01)00041-0
• Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1-17. https://doi.org/10.1509/jmkg.68.1.1.24036
• Vargo, S. L., & Lusch, R. F. (2016). Institutions and axioms: An extension and update of service-dominant logic. Journal of the Academy of Marketing Science, 44(1), 5-23. https://doi.org/10.1007/s11747-015-0456-3
• Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22. https://doi.org/10.1177/002224298805200302

Items of the Scale