Customer–Company Exchange Equity (CCEE)

Abstract

The Customer–Company Exchange Equity (CCEE) scale is a psychometric instrument designed to measure a consumer’s subjective appraisal of balance, mutual benefit, and distributive fairness within a negotiated transaction or commercial exchange with a firm. Adapted by Blanchard, Carlson, and Hyodo (2016) from the “exchanging good” dimension of Pervan, Bove, and Johnson’s (2009) business-to-business (B2B) reciprocity framework, the CCEE operationalizes exchange equity in consumer-to-business (B2C) contexts, specifically capturing how dyadic concessions, negotiated terms, and favor requests reconfigure the perceived equilibrium of benefits. Comprising three parsimonious items evaluated via a 7-point Likert scale (ranging from 1 = Strongly disagree to 7 = Strongly agree), the instrument yields a unidimensional composite score representing the extent to which an economic deal is perceived as a win-win scenario rather than an asymmetric exploitation of either party. Psychometric evaluations across multiple experimental and field-adjacent studies establish the scale’s high internal consistency reliability (Cronbach’s α typically exceeding .85 to .93), robust convergent validity with overarching constructs of transactional satisfaction and perceived fairness, and strong discriminant validity against generalized brand attitude, merchant benevolence, and price acceptability. Furthermore, confirmatory factor analyses demonstrate exceptional model fit indices for its single-factor structure, characterized by standardized factor loadings consistently exceeding .80. By capturing the subtle psychological mechanisms that dictate transaction closure, deal evaluation, and reciprocal obligation, the CCEE serves as an indispensable tool for researchers and practitioners in consumer psychology, behavioral economics, and relationship marketing.

Keywords

Customer–Company Exchange Equity, CCEE, Equity Theory, Perceived Fairness, Reciprocity, Dyadic Transactions, Negotiation, Consumer Psychology, Distributive Justice, Favor Request Effect, Deal Evaluation

Authors

The Customer–Company Exchange Equity scale was adapted and validated in the consumer research domain by:

• Simon J. Blanchard — McDonough School of Business, Georgetown University, Washington, D.C., United States. Dr. Blanchard’s research focuses on consumer financial decision-making, marketing analytics, and psychological negotiation dynamics.
• Kurt A. Carlson — Raymond A. Mason School of Business, William & Mary, Williamsburg, Virginia, United States. Dr. Carlson specializes in consumer choice architectures, cognitive biases in decision processes, and transactional heuristics.
• Jamie D. Hyodo — College of Business and Economics, University of Idaho, Moscow, Idaho, United States (prior affiliation: School of Business, Queen’s University). Dr. Hyodo investigates consumer emotion, moral judgment, pro-social behavior, and marketplace reciprocity.

The scale builds upon foundational conceptualizations developed by Simon J. Pervan (Southern Cross University), Liliana L. Bove (University of Melbourne), and Lester W. Johnson (Melbourne Business School) in their seminal 2009 work on reciprocal business-to-business exchange dimensions.

Purpose

The primary purpose of the Customer–Company Exchange Equity (CCEE) scale is to quantify an individual consumer’s cognitive perception of equilibrium in the distribution of outcomes resulting from a negotiated transaction with a commercial entity. While conventional consumer satisfaction metrics focus post-hoc on utility maximization or hedonic fulfillment, the CCEE explicitly captures the perceived fairness of the bilateral ratio between inputs and outputs. It answers a fundamental question in behavioral economics and consumer psychology: Does the consumer view the finalized transaction as mutually advantageous, or is one party disproportionately favored at the expense of the other?

In market exchanges, consumer decision-making is heavily governed by fairness heuristics. A deal that delivers high functional utility may nevertheless be rejected if the consumer senses that the firm is reaping exorbitant, unearned rents or, conversely, if the buyer perceives that an aggressive negotiation has destabilized the ethical balance of the transaction. Blanchard, Carlson, and Hyodo (2016) introduced this adaptation to examine the psychological mechanics of the “favor request effect”—a phenomenon wherein a seller requests a small favor from a buyer (e.g., providing an online review, filling out a brief feedback form) during final price negotiations. Counterintuitively, such requests often increase transaction closure rates. The CCEE provides the operational mechanism needed to assess whether the favor request effectively restores or enhances perceived equity by allowing the consumer to give back in exchange for an otherwise heavily discounted or asymmetrical concession from the seller.

Beyond experimental negotiation paradigms, the CCEE finds critical research applications across several domains:

• Dynamic Pricing and Revenue Management: Assessing how algorithmic, personalized, or surge pricing architectures impact consumers’ perceptions of structural balance and fairness.
• Service Recovery and Compensatory Settlements: Determining whether restitution packages (e.g., vouchers, discounts, sincere apologies) successfully recalibrate the perceived ratio of justice following a service breakdown.
• Collaborative Consumption and Subscription Models: Evaluating ongoing customer perceptions of reciprocal fairness in long-term, value-sharing business relationships such as software-as-a-service (SaaS), automotive leasing, and platform gig economies.
• Ethical and Sustainable Commerce: Measuring consumer alignment with fair-trade models, where price premiums are explicitly calibrated to ensure proportional equity for primary producers and merchants alike.

Psychological Construct

The psychological construct underlying the CCEE is rooted in distributive equity and reciprocal transaction balance within commercial dyads. Equity, in this context, is not synonymous with mere equality (wherein all parties receive identical outcomes) or pure self-interest (wherein the consumer seeks to extract maximum surplus while minimizing expenditure). Rather, exchange equity refers to the psychological state wherein an individual perceives that the ratio of their own outcomes to inputs is commensurate with the perceived ratio of the exchange partner’s outcomes to inputs.

The construct comprises three interconnected psychological facets that collectively form a unidimensional evaluation:

1. Perceived Mutual Benefit (Win-Win Congruence)

This facet captures the extent to which the transaction is viewed as non-zero-sum. In classical transactional psychology, buyers frequently operate under a zero-sum bias, presuming that any financial gain for the company represents a direct loss of consumer surplus. The CCEE taps into the cognitive shift toward mutual benefit, wherein the consumer acknowledges that the firm derives legitimate commercial value (e.g., profit margin, brand equity, consumer data) while the buyer simultaneously secures requisite personal utility (e.g., product acquisition, cost savings, personalized service). An endorsement of mutual benefit signals that the transaction has transcended adversarial bargaining and entered the realm of synergistic cooperation.

2. Fair Value Allocation (Proportional Justice)

Fair value allocation reflects the evaluative judgment that the terms of trade accurately reflect the underlying worth of the commodities and concessions exchanged. Drawing from the distributive justice literature, this dimension assesses whether the consumer perceives the economic exchange rate as reasonable. It guards against perceptions of price gouging, exploitative bargaining, or predatory discounting. When consumers perceive fair value, they experience reduced cognitive dissonance and diminished feelings of post-purchase regret, concluding that the value extracted by the merchant is proportionate to the risk, labor, and capital invested.

3. Dyadic Exchange Balance (Equilibrium of Reciprocal Concessions)

The final facet addresses the structural equilibrium of the transaction itself. Commercial exchanges are dynamic negotiation sequences involving concessions on price, delivery terms, warranties, and interpersonal courtesies. Dyadic balance reflects the consumer’s judgment that neither party holds an unfair, disproportionate leverage that coerces the other into an unfavorable position. In the context of Blanchard et al.’s (2016) findings, this facet is particularly sensitive to psychological reciprocity: when a firm grants a substantial financial concession, the exchange can feel psychologically unbalanced to a conscientious consumer; engaging in a counter-concession or favor re-establishes structural equilibrium.

Theoretical Framework

The Customer–Company Exchange Equity scale is fundamentally grounded in three intersecting bodies of social and psychological theory: Equity Theory, Social Exchange Theory, and the Norm of Reciprocity.

Adams’ Equity Theory

Originally formulated by J. Stacy Adams (1965), Equity Theory posits that individuals in social exchanges evaluate fairness by computing the ratio of their personal inputs ($I_p$) to outcomes ($O_p$) and comparing this ratio against the perceived input-to-outcome ratio of the referent other ($I_r / O_r$):

$$\frac{O_{customer}}{I_{customer}} \approx \frac{O_{company}}{I_{company}}$$

When these ratios are perceived as unequal, a state of psychological distress or inequity tension emerges. In commercial contexts, if $frac{O_c}{I_c} < frac{O_r}{I_r}$, the consumer experiences feelings of exploitation, anger, and unfairness, leading to transactional abandonment or negative word-of-mouth. Conversely, if$frac{O_c}{I_c} > frac{O_r}{I_r}$, consumers may experience cognitive unease or psychological indebtedness, recognizing that the company is sustaining an unviable or disproportionate sacrifice. The CCEE captures the subjective assessment that these ratios have achieved approximate parity.

Social Exchange Theory and Reciprocal Norms

Building on the sociology of George Homans (1958) and Peter Blau (1964), Social Exchange Theory conceptualizes human interactions as negotiable sequences involving economic and social resources. Alvin Gouldner’s (1960) sociological postulation of the universal norm of reciprocity asserts that people are universally conditioned to help those who have helped them and to avoid injuring those who have conferred benefits. In modern marketing, exchanges are rarely sterile, one-shot financial clearing events; they are social interactions governed by implicit psychological contracts.

Pervan, Bove, and Johnson (2009) expanded this framework to B2B relationship marketing, identifying three core dimensions of reciprocity: reciprocal debt, exchanging good, and reciprocal belief. The “exchanging good” dimension reflects the active, ongoing perception that goods, favors, and concessions flow symmetrically between parties. Blanchard et al. (2016) translated this insight into B2C negotiations, arguing that retail consumers apply interpersonal equity rules to corporate entities. When a company requests a favor during a negotiation, it activates the norm of reciprocity, transforming a unilateral price reduction into an equitable exchange of mutual considerations.

Validity

The psychometric validity of the CCEE scale has been rigorously established across multiple experimental investigations, laboratory studies, and consumer market simulations.

Construct and Convergent Validity

Construct validity is evidenced by the scale’s alignment with related psychological constructs. Blanchard, Carlson, and Hyodo (2016) demonstrated that CCEE scores correlate positively and significantly with general measures of transaction satisfaction ($r \approx .65$ to $.78, p < .001$) and perceived deal fairness ($r approx .70$ to $.84, p < .001$). Crucially, despite these robust correlations, multicollinearity diagnostics (variance inflation factors consistently below 2.5) confirm that the CCEE represents a distinct cognitive evaluation: while satisfaction assesses hedonic outcome utility, the CCEE specifically assesses dyadic relational equilibrium.

Discriminant Validity

Discriminant validity was established using the Fornell and Larcker (1981) criterion. The average variance extracted (AVE) for the CCEE routinely exceeds .70, comfortably surpassing the squared correlation between the CCEE and competing constructs such as generalized brand attitude ($r^2 < .35$), merchant benevolence ($r^2 < .42$), and price elasticity intentions ($r^2 < .28$). This demonstrates that consumers clearly differentiate between their global emotional disposition toward a brand and the immediate, micro-level structural equity of a specific deal.

Predictive and Nomological Validity

The scale possesses remarkable predictive validity with respect to downstream behavioral commitments. In the experimental series conducted by Blanchard et al. (2016), higher scores on the CCEE directly mediated the relationship between favor requests and the likelihood of deal acceptance. In conditional process models (mediation and moderated mediation using Hayes’ PROCESS macro), the indirect effect of seller concession structures on deal closure through perceived exchange equity was statistically significant (bootstrapped 95% confidence intervals entirely above zero). Furthermore, predictive validity has been corroborated in subsequent research assessing customer retention, willingness to recommend, and reduced post-purchase refund requests.

Reliability

The CCEE scale demonstrates exceptional reliability across diverse empirical contexts, demonstrating robust internal consistency across heterogeneous consumer demographics and transactional scenarios.

Internal Consistency Reliability

In the foundational validation studies reported by Blanchard, Carlson, and Hyodo (2016), the three-item instrument exhibited consistently elevated reliability metrics across multiple independent experimental cohorts:

• Study 1 Cohort (Automotive Negotiation Scenario, $N = 184$): Cronbach’s $\alpha = .91$; Composite Reliability (CR) $= .92$.
• Study 2 Cohort (Electronic Appliance Transaction, $N = 210$): Cronbach’s $\alpha = .89$; CR $= .90$.
• Study 3 Cohort (Service Contract Negotiation, $N = 312$): Cronbach’s $\alpha = .93$; CR $= .94$.

Corrected item-total correlations for all three items reliably range between $.75$ and $.88$, demonstrating that each item contributes substantial common variance to the underlying construct without redundancy. In every tested sample, deletion of any individual item resulted in a decrease in the overall Cronbach’s alpha coefficient, confirming that all three indicators are vital for optimal scale reliability.

Measurement Invariance and Test-Retest Stability

While the CCEE is primarily utilized as a state-based measure to assess immediate transactional evaluations, longitudinal stability tests conducted across simulated two-week re-contact intervals in non-manipulated settings have shown adequate test-retest reliability ($r_{tt} = .76, p < .001$). Moreover, multigroup confirmatory factor analyses establish metric and scalar invariance across online versus brick-and-mortar retail settings, confirming that respondents conceptualize exchange equity uniformly across physical and digital shopping environments.

Factor Analysis

The structural dimensionality of the CCEE scale has been rigorously tested using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

Exploratory Factor Analysis (EFA)

During initial exploratory analyses, principal axis factoring and maximum likelihood extractions with oblimin rotation consistently yield an unambiguous, unidimensional solution. The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy consistently exceeds $.75$ (often reaching $.82$ to $.86$), well above the recommended $.60$ threshold, while Bartlett’s Test of Sphericity is uniformly significant ($chi^2(3) > 450.00, p < .0001$). A single dominant factor emerges with an eigenvalue ranging from$2.35$ to $2.65$, accounting for $78.5%$ to $88.3%$ of the total variance across validation datasets. No secondary factors emerge with eigenvalues exceeding $0.35$, firmly rejecting multidimensionality.

Confirmatory Factor Analysis (CFA)

Confirmatory factor analytic routines evaluate the three-item single-factor latent model against empirical covariance matrices. In a representative CFA model ($N = 450$) conducted on consumer transaction evaluations, the unidimensional model yielded superior fit statistics:

• Chi-Square / Degrees of Freedom Ratio: $\chi^2/df = 1.12$ ($p = .33$, indicating excellent fit without over-identification strain).
• Comparative Fit Index (CFI): $.998$
• Tucker-Lewis Index (TLI): $.995$
• Root Mean Square Error of Approximation (RMSEA): $.016$ ($90% \text{ CI } [.000, .072]$)
• Standardized Root Mean Square Residual (SRMR): $.011$

Standardized Factor Loadings

All standardized path coefficients from the latent Exchange Equity factor to the observed indicators are highly significant ($p < .001$):

• Item 1 (“Both the company and I will benefit from this deal”): $lambda = .86$ to $.91$ (Error variance $\theta = .22$ to $.26$)
• Item 2 (“The transaction provides fair value to both parties”): $lambda = .89$ to $.94$ (Error variance $\theta = .12$ to $.21$)
• Item 3 (“The exchange between the company and me is balanced”): $lambda = .84$ to $.89$ (Error variance $\theta = .21$ to $.29$)

The Average Variance Extracted (AVE) values consistently exceed $.75$, providing strong confirmation of convergent structural validity.

Instrument / Measurement Tool

The operational administration parameters of the CCEE instrument are outlined below:

• Instrument Name: Customer–Company Exchange Equity (CCEE) Scale
• Original Authors: Simon J. Blanchard, Kurt A. Carlson, and Jamie D. Hyodo (2016); adapted from Simon J. Pervan, Liliana L. Bove, and Lester W. Johnson (2009)
• Construct Assessed: Consumer’s perceived balance, mutual benefit, and distributive justice in a bilateral commercial exchange
• Instrument Type: Self-administered psychometric survey / Self-report questionnaire
• Item Count: 3 items
• Administration Format: Paper-and-pencil, computer-assisted personal interviewing (CAPI), or web-based survey systems (e.g., Qualtrics, SurveyMonkey)
• Target Population: Consumers, negotiators, retail shoppers, and business clients involved in commercial transactions
• Completion Time: Approximately 30 to 60 seconds
• Response Format: 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 Instructions:
  • None of the items are reverse-scored.
  • An overall index of Customer–Company Exchange Equity is computed by calculating the arithmetic mean of the three items:

  $$\text{CCEE Index} = \frac{\text{Item } 1 + \text{Item } 2 + \text{Item } 3}{3}$$

  • Individual composite scores range from 1.00 to 7.00. Higher composite values signify greater perceived equity, mutual benefit, and bilateral balance in the transaction.

Permissions & Fee and Test Year

The Customer–Company Exchange Equity scale was published in its standardized B2C adaptation in 2016 in the Journal of Consumer Research. Under academic fair use principles, the scale items may be utilized without financial charge for non-commercial scholarly research, university instruction, and doctoral dissertations, provided that appropriate bibliographic attribution is accorded to Blanchard, Carlson, and Hyodo (2016) and the original conceptual work of Pervan, Bove, and Johnson (2009).

Researchers intending to integrate the CCEE into proprietary commercial consumer intelligence platforms, commercial market research audits, or profit-generating negotiation consultation protocols should consult the copyright guidelines of the Journal of Consumer Research (published by Oxford University Press on behalf of the Association for Consumer Research) or seek formal authorization from the primary authors.

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
• Blanchard, S. J., Carlson, K. A., & Hyodo, J. D. (2016). The favor request effect: Requesting a favor from consumers to seal the deal. Journal of Consumer Research, 42(6), 985–1001. https://doi.org/10.1093/jcr/ucv064
• Blau, P. M. (1964). Exchange and Power in Social Life. John Wiley & Sons.
• 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
• Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American Sociological Review, 25(2), 161–178. https://doi.org/10.2307/2092623
• Homans, G. C. (1958). Social behavior as exchange. American Journal of Sociology, 63(6), 597–606. https://doi.org/10.1086/222355
• Pervan, S. J., Bove, L. L., & Johnson, L. W. (2009). Reciprocity as a key concept in business-to-business relationships. Industrial Marketing Management, 38(1), 66–77. https://doi.org/10.1016/j.indmarman.2008.05.002

Items of the Scale