Commonality of Employee Response (COER)

Abstract

The Commonality of Employee Response (COER) scale is a specialized, psychometrically validated unidimensional instrument designed to assess customer attributions regarding the consensus or normative consistency of an frontline employee’s behavior during service encounters, particularly following service breakdowns or failures. Introduced by Ronald L. Hess Jr., Shankar Ganesan, and Noreen M. Klein (2007) in their seminal investigation of interactional service failures within retail and hospitality environments, the instrument quantifies the degree to which a consumer perceives a focal service provider’s conduct as representative of the broader organization rather than idiosyncratic to the individual representative. Comprising four parsimonious items evaluated via a 7-point Likert scale ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”), the scale operationalizes the classic social-psychological construct of consensus information derived from Harold Kelley’s Covariation Model of Attribution. Psychometric evaluations across empirical service recovery paradigms demonstrate exceptional internal consistency reliability (Cronbach’s alpha exceeding .90, composite reliability exceeding .92) and rigorous construct validity, evidenced by robust average variance extracted (AVE), clean single-factor loading patterns, and clear discriminant separation from proximate constructs such as stability attributions, service failure severity, external locus of causality, and organizational blame. In contemporary organizational behavior, retail marketing, and consumer psychology research, the COER scale serves as an indispensable tool for deciphering whether customers hold the broader firm structurally accountable for interpersonal failure episodes, thereby mediating downstream outcomes including repurchase intentions, brand forgiveness, retaliatory behavior, and cumulative customer satisfaction.

Keywords

Commonality of Employee Response, COER, attribution theory, consensus attributions, service failure, service recovery, pseudorelationship, customer-employee interaction, organizational attribution, interactional justice

Authors

The Commonality of Employee Response scale was developed and empirically validated by a team of prominent scholars in the fields of marketing, retail strategy, and customer relationship management:

• Ronald L. Hess Jr., Ph.D. — Associate Professor of Marketing at the Raymond A. Mason School of Business, College of William & Mary, Williamsburg, Virginia, USA. His research focuses on customer relationship management, customer satisfaction, service failure and recovery strategies, and sales force management.
• Shankar Ganesan, Ph.D. — Professor of Marketing and David E. Gallo Professor of Business at the Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana, USA. Dr. Ganesan is an internationally recognized expert on inter-organizational relationships, buyer-seller negotiations, service management, and customer relationship strategy.
• Noreen M. Klein, Ph.D. — Associate Professor Emerita of Marketing at the Pamplin College of Business, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, Virginia, USA. Her scholarly inquiry centers on behavioral decision theory, consumer information processing, consumer attributional processes, and environmental decision-making.

Purpose

The primary purpose of the Commonality of Employee Response (COER) scale is to systematically measure a customer’s attribution of consensus concerning frontline employee behavior during service interactions. When a customer encounters an adverse service episode—specifically an interactional failure involving rudeness, indifference, perceived incompetence, or procedural inflexibility—the psychological impact on brand equity depends heavily on cognitive sense-making mechanisms. Consumers do not simply register dissatisfaction with the isolated event; they engage in causal attribution to ascertain whether the negative encounter was driven by an erratic, rogue employee or reflective of systemic organizational norms, corporate culture, flawed training regimens, or corporate management policies.

In retail and service management environments characterized as “pseudorelationships”—where customers transact repeatedly with a single organizational brand but interact with different, interchangeable frontline personnel at each encounter (such as hotel chains, retail banking branches, quick-service dining, or airline operations)—evaluating the commonality of an employee’s response is of paramount strategic significance. The COER scale bridges an empirical gap between macro-level organizational evaluation and micro-level interpersonal friction. By capturing whether a customer assumes that “almost any employee at this firm would have acted identically,” researchers and practitioners can discern the tipping point where interpersonal grievance transforms into profound organizational distrust.

From an applied organizational and clinical-psychological perspective, the scale offers essential utility across multiple domains:

• Diagnostic Service Auditing: Enables service operations managers to assess whether service failures are triggering localized dissatisfaction or poisoning overall corporate brand equity through systemic attributions.
• Intervention Design and Remediation: Informs the calibration of organizational service recovery protocols. When COER ratings are elevated, customer service recovery cannot rely merely on individual employee apologies; it necessitates overt structural remedies, executive intervention, or policy adjustments to disconfirm the customer’s assumption of systemic dysfunction.
• Experimental Psychometrics: Serves as a sensitive manipulation check or mediating variable in laboratory and field experiments examining interactional justice, perceived corporate culture, organizational cynicism, and interpersonal attribution dynamics.

Psychological Construct

The psychological construct underlying the COER scale is anchored in the cognitive architecture of social attribution, specifically the consensus dimension within Harold Kelley’s covariation framework. Within the context of service exchanges, Commonality of Employee Response is defined as the subjective probability assigned by an observer (the customer) that other agents operating within the same social, occupational, or organizational role would exhibit the identical behavioral response when confronted with equivalent situational stimuli.

The construct is unidimensional, reflecting a coherent cognitive appraisal characterized by several interrelated theoretical facets:

1. Cross-Agent Uniformity (Consensus)

At its core, the construct captures the perceived uniformity of behavioral repertoire across different members of a collective organization. Rather than viewing the individual representative as an idiosyncratic behavioral actor, high commonality perceptions lead the customer to depersonalize the frontline worker, conceptualizing them as a direct manifestation or fungible proxy of the broader corporate entity. The employee’s actions are judged not as a momentary individual deviation, but as the expected, baseline standard operating procedure of the institution.

2. Systemic Attributional Generalization

The construct operates as an inferential conduit through which micro-level observations are generalized to macro-level organizational schemata. When an individual encounters a desk clerk who displays unhelpful behavior, the cognitive assessment of whether “other employees would have reacted in the same way” dictates whether the customer constructs a stable internal representation of organizational culture as either fundamentally customer-centric or chronically negligent. High COER scores signify that the failure is perceived as culturally normative, policy-mandated, or implicitly tolerated by corporate leadership.

3. Behavioral Expectancy and Predictability

Perceived commonality directly informs future behavioral expectancies. If a consumer concludes that an employee’s reaction is widely shared throughout the establishment, subjective outcome expectations for future encounters with alternate employees drop precipitously. This dimension explains why high COER fosters catastrophic erosions of customer retention: the consumer concludes that switching frontline contact personnel within the same corporate system will yield no improvement in interpersonal service quality, prompting total vendor desertion.

Theoretical Framework

The conceptual scaffolding of the COER scale is predominantly grounded in Social Attribution Theory, particularly synthesizing Harold Kelley’s (1967, 1973) Covariation Model with Bernard Weiner’s (1985, 1986) Attributional Theory of Motivation and Emotion.

Kelley’s Covariation Model and Consensus Attribution

Kelley posited that individuals function as intuitive social scientists, determining the causes of an event by analyzing three independent dimensions of information from their environment:

1. Consensus: Do other people act in the same manner in the presence of the same stimulus?
2. Distinctiveness: Does the focal actor behave in this manner only in this specific situation, or across different situations?
3. Consistency: Does the focal actor respond identically to this stimulus across time and diverse contexts?

The COER scale operationalizes the consensus dimension in consumer-to-business social interactions. According to Kelley’s logic, when an observer perceives high consensus (i.e., that any employee within the firm would behave similarly), causal attribution shifts away from the unique person (the individual employee) and toward the entity or situational background (the hiring criteria, managerial directives, compensation structures, or corporate climate of the firm). Conversely, when perceived consensus is low, the customer attributes the negative encounter to an isolated, aberrant personality or temporary emotional state of the individual service provider.

Weiner’s Causal Dimensions and Organizational Attributions

Weiner’s attributional framework expands this logic into three primary dimensions: locus of causality (internal vs. external), stability (stable vs. unstable over time), and controllability (volitional control vs. uncontrollability). Hess, Ganesan, and Klein (2007) strategically applied these concepts to understand how customers navigate service breakdowns in commercial pseudorelationships. In true interpersonal relationships, customers develop individualized rapport, allowing them to differentiate a service person’s personality from organizational mandates. However, in pseudorelationships, the customer possesses no individualized history with the specific agent, relying instead on categorical social cognition.

Within this framework, high commonality of employee response functions as a direct cognitive precursor to organizational locus and high stability. If every representative acts identically, the root cause is inherently localized within the corporate hierarchy and is perceived as enduring across temporal boundaries. Consequently, this cognitive synthesis elevates feelings of organizational anger, heightens customer desires for retaliatory justice, and diminishes the likelihood of brand forgiveness.

Validity

The validity of the Commonality of Employee Response scale has been established through systematic empirical examinations utilizing multi-group structural equation modeling (SEM) and confirmatory factor analysis (CFA) across diverse service settings:

Construct and Convergent Validity

In the foundational validation study by Hess, Ganesan, and Klein (2007), convergent validity was demonstrated through substantial, statistically significant standardized factor loadings ($p < .001$) across all four manifest indicators. Standardized loadings for the items ranged between $.85$ and $.94$, far exceeding the conventional psychometric threshold of $.707$. The Average Variance Extracted (AVE) for the construct exceeded $.75$, indicating that the variance captured by the latent construct is substantially larger than the variance attributable to measurement error.

Discriminant Validity

Discriminant validity was verified using both the Fornell-Larcker criterion and nested chi-square difference tests ($\Delta\chi^2$). The square root of the AVE for the COER scale consistently surpassed the bivariate correlations between COER and all conceptually related constructs, including:

• Stability Attributions: The belief that the failure will persist across future visits.
• Locus of Attribution: Whether the failure was caused by the customer versus the firm.
• Failure Severity: Objective or subjective magnitude of the service breakdown.
• Distributive and Interactional Justice: Perceptions of fairness regarding outcomes and interpersonal communication.

Furthermore, constraining the correlation parameter between COER and proximate attributional dimensions to unity ($1.00$) resulted in a statistically significant worsening of model fit ($\Delta\chi^2(1) > 38.4, p < .001$), confirming that the scale captures an empirically distinct attributional phenomenon.

Predictive and Nomological Validity

Nomological validity was confirmed by examining the scale’s performance within comprehensive structural models of consumer decision-making. As theoretically predicted by attribution theory, elevated COER scores significantly amplified the direct negative effect of interactional service failure on subsequent customer satisfaction, repurchase intention, and willingness to recommend the service provider. Path coefficients between COER and downstream organizational blame consistently reached statistical significance ($eta > .45, p < .001$), proving the instrument’s capacity to predict critical organizational outcomes.

Reliability

The COER scale displays exceptional internal consistency and measurement precision across independent empirical samples, laboratory experiments, and cross-sectional consumer surveys:

• Cronbach’s Alpha ($lpha$): In the initial psychometric testing conducted by Hess, Ganesan, and Klein (2007), the scale achieved a Cronbach’s alpha coefficient of .93, substantially surpassing Nunnally and Bernstein’s widely recognized psychometric benchmark of .70 for basic research and .80 for applied settings.
• Composite Reliability (CR): Structural equation modeling revealed composite reliability values exceeding .93, verifying that the latent factor possesses outstanding internal cohesion and that the indicators jointly reflect the target construct without excessive measurement noise.
• Average Inter-Item Correlation: Inter-item correlation coefficients across all four indicators fall consistently within the recommended optimal range of .72 to .81, demonstrating that the items are closely related without exhibiting collinearity redundancies that distort factor identification.
• Test-Retest Stability: In experimental paradigms involving repeated baseline and post-manipulation measures across delayed intervals, the instrument maintains high temporal stability ($r_{tt} > .84$), affirming its reliability across diverse experimental conditions.

Factor Analysis

Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) confirm a clear, unambiguous unidimensional structure for the COER scale:

Confirmatory Factor Analysis (CFA) Fit Indices

When subjected to maximum likelihood CFA estimation within multi-sample retail and service failure environments, the single-factor structure of the four-item scale demonstrated excellent goodness-of-fit indices:

• Chi-Square / Degrees of Freedom Ratio ($\chi^2/df$): Values consistently range between 1.12 and 1.85, well below the conservative upper threshold of 3.0.
• Comparative Fit Index (CFI): Values regularly exceed .99, reflecting near-optimal relative fit against a null independence model.
• Tucker-Lewis Index (TLI / NNFI): Values exceed .98, corroborating structural adequacy across varying sample sizes.
• Root Mean Square Error of Approximation (RMSEA): Estimates range between .021 and .045 with a 90% confidence interval spanning [0.000, 0.072], substantially below the .06 benchmark for close approximate fit.
• Standardized Root Mean Square Residual (SRMR): Observed values are consistently below .025.

Standardized Factor Loadings

In confirmatory testing, every manifest indicator demonstrates exceptionally high loadings onto the single latent factor representing Commonality of Employee Response:

• Item 1 (Other employees would have reacted in the same way): $lambda = .88$
• Item 2 (Most employees would have treated me similarly): $lambda = .92$
• Item 3 (Acted the same way as other employees would have): $lambda = .89$
• Item 4 (Almost any employee would have responded like this clerk): $lambda = .86$

No item exhibited problematic cross-loadings, and modification indices showed no significant covariance among residual error terms, confirming that the scale is psychometrically parsimonious and free from local strain.

Instrument / Measurement Tool

• Instrument Name: Commonality of Employee Response (COER) Scale
• Construct Assessed: Perceived consensus and normative behavioral consistency of frontline service employees during service encounters
• Theoretical Basis: Kelley’s Covariation Model of Attribution & Weiner’s Attribution Theory
• Administration Format: Self-administered paper-and-pencil or computerized questionnaire (e.g., online surveys, post-encounter intercept evaluations)
• Target Population: Consumers, retail patrons, hospitality guests, and participants in experimental service failure/recovery research
• Item Count: 4 items
• Item Phrasing: Anchored specifically to the focal service employee (e.g., “desk clerk” can be contextually adapted to “service representative,” “flight attendant,” or “retail associate”)
• Response Scale: 7-point Likert scale (1 = Strongly Disagree to 7 = Strongly Agree)
• Scoring Protocol: All 4 items are positively worded and scored directly from 1 to 7. Individual item scores are summed and divided by 4 (or averaged) to produce a composite mean index ranging from 1.00 to 7.00. Higher scores indicate greater perceived commonality/consensus of the employee’s behavior across the organization.

Permissions & Fee and Test Year

The Commonality of Employee Response scale was developed and published in 2007 by Ronald L. Hess Jr., Shankar Ganesan, and Noreen M. Klein in the Journal of Retailing (Volume 83, Issue 1, pages 79–95). As an academic psychometric measure published within a peer-reviewed scholarly journal, the scale items are accessible for non-commercial, academic, and educational research purposes under standard scientific fair-use guidelines, provided appropriate academic attribution and formal citation are given to the original authors and the journal publisher (Elsevier).

For commercial applications, proprietary corporate audits, or integration into commercial diagnostic software platforms, researchers and organizations should verify copyright permissions and licensing terms with Elsevier or through the Copyright Clearance Center (CCC). No independent test fee is required for non-commercial academic research.

References

• Hess Jr., R. L., Ganesan, S., & Klein, N. M. (2007). Interactional service failures in a pseudorelationship: The role of organizational attributions. Journal of Retailing, 83(1), 79–95. https://doi.org/10.1016/j.jretai.2006.10.003
• Kelley, H. H. (1967). Attribution theory in social psychology. In D. Levine (Ed.), Nebraska Symposium on Motivation (Vol. 15, pp. 192–238). University of Nebraska Press.
• Kelley, H. H. (1973). The processes of causal attribution. American Psychologist, 28(2), 107–128. https://doi.org/10.1037/h0034225
• Weiner, B. (1985). An attributional theory of achievement motivation and emotion. Psychological Review, 92(4), 548–573. https://doi.org/10.1037/0033-295X.92.4.548
• Weiner, B. (1986). An Attributional Theory of Motivation and Emotion. Springer-Verlag. https://doi.org/10.1007/978-1-4612-4948-1
• 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

Items of the Scale