Dealership Relationship Commitment (DEALCOM)

Abstract

The Dealership Relationship Commitment (DEALCOM) scale is a specialized psychometric instrument developed by Tom J. Brown, Thomas E. Barry, Peter A. Dacin, and Richard F. Gunst (2005) to quantify the strength of an individual consumer’s relational attachment, dedication, and psychological investment toward an automotive retail dealership. Originating from relationship marketing theory and consumer psychology, the instrument addresses a critical gap in high-involvement retail environments where long-term customer-firm interactions are characterized by extended product life cycles, complex maintenance dependencies, and substantial financial expenditures. Comprising four parsimonious, self-report items administered via a 7-point Likert scale (ranging from 1 = Strongly disagree to 7 = Strongly agree), DEALCOM captures core facets of relationship maintenance, affective valuation, longevity intent, and pro-relational behavioral exertion. Psychometric evaluation in empirical studies demonstrates exceptional structural robustness, yielding a unidimensional factor structure with high internal consistency (Cronbach’s alpha typically exceeding .90), strong composite reliability, and average variance extracted values well above conventional benchmarks. Furthermore, the scale demonstrates rigorous convergent, discriminant, and predictive validity, functioning as a pivotal mediating construct that translates customer satisfaction and perceived service value into positive consumer advocacy, particularly positive word-of-mouth (PWOM) intentions and observable referral behaviors.

Keywords

relationship commitment, customer commitment, dealership loyalty, DEALCOM, word-of-mouth intentions, retailing, relationship marketing, consumer psychology, psychometrics, relational exchange theory, automotive retailing

Authors

The DEALCOM scale was designed and validated by an interdisciplinary research team specializing in marketing strategy, consumer behavior, and statistical methodology:

• Tom J. Brown, Ph.D. — Professor of Marketing at the Spears School of Business, Oklahoma State University. His research focuses on corporate reputation, customer-contact employee attitudes, brand equity, and word-of-mouth dynamics.
• Thomas E. Barry, Ph.D. — Professor Emeritus of Marketing at the Edwin L. Cox School of Business, Southern Methodist University. His scholarship encompasses advertising strategy, promotional ethics, and relational retail dynamics.
• Peter A. Dacin, Ph.D. — Professor of Marketing at the Smith School of Business, Queen’s University. His work centers on consumer social identification, corporate social responsibility, and social exchange mechanisms.
• Richard F. Gunst, Ph.D. — Professor Emeritus of Statistical Science at the Dedman College of Humanities and Sciences, Southern Methodist University. A Fellow of the American Statistical Association, his methodological contributions focus on linear modeling, structural equation modeling, and experimental design.

Purpose

The primary purpose of the DEALCOM scale is to reliably operationalize and measure the psychological construct of consumer relationship commitment within high-involvement durable goods dealerships. In conventional retail psychometrics, loyalty is frequently conflated with repeat transaction frequency or simple behavioral repurchase patterns. However, transactional proxies fail to account for situational constraints, localized geographical monopolies, or contractual service arrangements that artificially enforce repeat patronage in the absence of genuine psychological attachment.

To overcome these limitations, Brown et al. (2005) engineered DEALCOM to isolate affective and intentional dedication from mere transactional inertia. In automotive sales and service contexts, customer interactions span several years, characterized by intermittent touchpoints such as warranty maintenance, unscheduled mechanical repairs, and cyclical vehicle replacements. Within this extended relational timeline, measuring a consumer’s willingness to exert effort and sustain their partnership provides deep diagnostic insight into the stability of the customer base.

From an applied perspective, the instrument serves both empirical research investigations and strategic retail management. In academic research, DEALCOM serves as a focal variable in testing structural equation models regarding the consequences of perceived quality, relational equity, and brand versus dealer alignment. In managerial analytics, DEALCOM equips customer experience executives with a metric to predict customer lifetime value, identify attrition risk before churn manifests behaviorally, and evaluate customer service interventions designed to foster authentic relational bonds.

Psychological Construct

The psychological construct captured by DEALCOM is Relationship Commitment, conceptualized in consumer research as an enduring desire to maintain a valued relationship (Morgan & Hunt, 1994; Moorman, Zaltman, & Deshpandé, 1992). Within DEALCOM, relationship commitment is treated as a unified, higher-order affective-conative state characterized by four mutually reinforcing psychological dimensions:

• Subjective Relational Attachment: The consumer’s overarching, explicit identification with the ongoing association. This dimension reflects an internalized recognition that the relationship transcends an impersonal series of financial transactions.
• Affective Valuation and Care: The emotional gravity assigned to the relationship. The customer does not view the service provider as an interchangeable commodity; rather, the interpersonal and institutional rapport established with the dealer’s personnel carries intrinsic emotional worth.
• Temporal Continuity Intentions: The longitudinal orientation of the consumer. High relationship commitment is incompatible with short-term opportunistic switching; it requires an explicit mental horizon that anticipates continued patronage across future life stages and product replacement cycles.
• Pro-Relational Effort and Resilience: The willingness of the consumer to invest cognitive, temporal, and physical resources to sustain the partnership. When logistical friction, pricing discrepancies, or service delays occur, highly committed consumers demonstrate relational citizenship behaviors, engaging in constructive voice and active problem-solving rather than terminating the affiliation.

Together, these facets constitute an attitudinal bulwark against competing marketing stimuli, fostering deep relational capital between the consumer and the dealership enterprise.

Theoretical Framework

The DEALCOM scale is grounded in two primary theoretical paradigms: Relational Exchange Theory (Dwyer, Schurr, & Oh, 1987) and the Commitment-Trust Theory of Relationship Marketing (Morgan & Hunt, 1994), supplemented by interpersonal psychological frameworks including Caryl Rusbult’s Investment Model (Rusbult, 1980).

Classical discrete transaction theory asserts that economic exchanges are governed strictly by immediate price-utility calculations, with zero social memory or interpersonal obligation. In contrast, Relational Exchange Theory posits that modern consumer-retail transactions evolve over time through reciprocal value generation, communication, and mutual structural dependency. As consumers progress through phases of awareness, exploration, expansion, and institutionalization, the locus of evaluation transitions from per-unit utility to relational equity.

Under Morgan and Hunt’s Commitment-Trust Theory, commitment is posited as a key mediating mechanism in relational longevity. The theory states that successful relationship marketing requires commitment and trust, which directly produce cooperative behaviors, decrease propensity to terminate the relationship, and reduce operational vulnerability. When consumers trust a dealer’s expertise and integrity, commitment acts as the operative psychological catalyst that converts satisfaction into proactive organizational defense and vocal advocacy.

Furthermore, borrowing from Rusbult’s social-psychological Investment Model, commitment is driven by satisfaction level, quality of alternatives, and investment size. Customers who perceive high psychological, financial, or informational investments in their dealership develop intrinsic barriers to exit. Brown et al. (2005) translated these foundational tenets into a measurement framework calibrated to capture the voluntary dedication that inspires consumers to advocate for the firm through positive word-of-mouth.

Validity

The psychometric validity of the DEALCOM instrument has been thoroughly established through rigorous statistical criteria within structural equation modeling paradigms:

• Construct and Convergent Validity: In the original validation studies conducted by Brown et al. (2005), confirmatory factor analysis (CFA) revealed standardized factor loadings for all four items that consistently exceeded the conservative cutoff of .70 (with observed loadings ranging from .84 to .94, all significant at p < .001). The Average Variance Extracted (AVE) substantially surpassed the .50 benchmark recommended by Fornell and Larcker (1981), establishing that the variance captured by the underlying construct is substantially greater than the variance attributable to measurement error.
• Discriminant Validity: Discriminant validity was empirically validated across multiple alternative constructs, including overall customer satisfaction, perceived dealer service quality, commitment to the vehicle manufacturer (brand commitment), and word-of-mouth intentions. In each comparison, the square root of the AVE for DEALCOM exceeded the inter-construct correlation estimates, satisfying the Fornell-Larcker criterion and confirming that DEALCOM measures a construct distinct from brand-level loyalty or general satisfaction.
• Nomological and Predictive Validity: Brown et al. (2005) confirmed the predictive utility of DEALCOM within a broader nomological net. Relationship commitment to the dealer demonstrated statistically significant direct paths to positive word-of-mouth (PWOM) intentions (γ ≈ .34, p < .01) and accounted for substantial variance in actual, self-reported referral behaviors collected across multi-wave longitudinal follow-ups.

Reliability

The DEALCOM scale exhibits high internal consistency reliability across varied empirical samples:

• Internal Consistency: In the focal study by Brown et al. (2005), the internal consistency coefficient as measured by Cronbach’s alpha was reported at α = .93. Subsequent replications and related investigations in retail service research consistently document alpha values ranging between .89 and .95, significantly surpassing the standard psychometric threshold of .70 to .80 recommended by Nunnally and Bernstein (1994).
• Composite Reliability: To account for potential discrepancies in tau-equivalence, Composite Reliability (CR) metrics were evaluated. The CR for DEALCOM routinely meets or exceeds .92, indicating minimal error variance and robust item homogeneity across the construct domain.
• Item-Total Correlations: Corrected item-total correlations across the four indicators consistently exceed .75, indicating that each item provides unique, substantial diagnostic variance to the aggregate latent score without evidence of redundant multicollinear instability.

Factor Analysis

Confirmatory Factor Analysis (CFA) conducted on the DEALCOM scale confirms an invariant unidimensional structure:

• Factor Structure: A single-factor measurement model was tested within a maximum likelihood estimation framework. The four items cleanly converge onto a singular latent factor representing “Dealership Relationship Commitment,” requiring no cross-loadings or post-hoc correlated error terms between items.
• Model Fit Indices: Structural fit evaluations reported in empirical literature consistently show superior fit indices across traditional parameters:
  • Comparative Fit Index (CFI) ≥ .98
  • Tucker-Lewis Index (TLI) ≥ .97
  • Root Mean Square Error of Approximation (RMSEA) ≤ .05 (with 90% confidence intervals bounded within acceptable thresholds)
  • Standardized Root Mean Square Residual (SRMR) ≤ .03
  • Normed Chi-Square (χ² / df) falling between 1.2 and 2.5, indicating excellent structural coherence
• Factor Loadings: Standardized factor loadings from empirical validation demonstrate tight clustering:
  • Item 1 (General Commitment): λ ≈ .90
  • Item 2 (Relational Care): λ ≈ .92
  • Item 3 (Temporal Continuity): λ ≈ .87
  • Item 4 (Willingness to Exert Effort): λ ≈ .84

Instrument / Measurement Tool

• Instrument Name: Dealership Relationship Commitment Scale (DEALCOM)
• Authors: Tom J. Brown, Thomas E. Barry, Peter A. Dacin, and Richard F. Gunst (2005)
• Primary Construct Measured: Psychological relationship commitment toward an automotive retail dealer
• Format / Administration: Self-administered paper-and-pencil or computerized/web-based questionnaire
• Completion Time: Approximately 1 to 2 minutes
• Item Count: 4 items
• 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 Procedure: Items are directly coded (no reverse-scored items). An overall composite score is calculated by taking the arithmetic mean of all four completed items. Scores range from 1.00 to 7.00, where higher values indicate stronger psychological commitment to the dealership.

Permissions & Fee and Test Year

The DEALCOM scale was first published in 2005 in the Journal of the Academy of Marketing Science (Volume 33, Issue 2, pages 123–138). The copyright for the academic article is held by the Academy of Marketing Science (published by Springer Nature). The scale items are publicly documented within the academic literature for non-commercial educational and scholarly research purposes under fair-use conventions. Researchers intending to incorporate the scale into commercial customer analytics platforms, fee-based diagnostic audits, or proprietary software applications should consult the original authors or request formal permission via Springer Nature’s RightsLink service.

References

• 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/10.1177/0092070304273516
• Dwyer, F. R., Schurr, P. H., & Oh, S. (1987). Developing buyer-seller relationships. Journal of Marketing, 51(2), 11–27. https://doi.org/10.1177/002224298705100202
• 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
• Moorman, C., Zaltman, G., & Deshpandé, R. (1992). Relationships between providers and users of market research: The dynamics of trust within and between organizations. Journal of Marketing Research, 29(3), 314–328. https://doi.org/10.1177/002224379202900303
• Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20–38. https://doi.org/10.1177/002224299405800302
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill.
• Rusbult, C. E. (1980). Commitment and satisfaction in romantic associations: A test of the investment model. Journal of Experimental Social Psychology, 16(2), 172–186. https://doi.org/10.1016/0022-1031(80)90007-4

Items of the Scale