Dysfunctional Customer Behavior (Other Shoppers) (DCB)

Abstract

The Dysfunctional Customer Behavior (Other Shoppers) (DCB) scale is a psychometric instrument operationalized by Kate L. Reynolds and Lloyd C. Harris in their seminal 2009 study published in the Journal of Retailing. The instrument was developed to quantify focal customers’ subjective perceptions and evaluations of antisocial, norm-violating, and disruptive actions perpetrated by fellow retail patrons. While extensive literature historically concentrated on direct customer-to-employee incivility and frontline employee abuse, the DCB scale isolates the lateral, customer-to-customer (C2C) interface, capturing the pervasive spillover effects that aberrant behavior exerts on third-party bystanders within service and retail environments.

The scale consists of six carefully curated items structured as a unidimensional, self-report inventory. Responses are evaluated along an authentic 7-point Likert scale ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”). Rather than indexing specific behavioral manifestations such as vocal abuse, physical queue-jumping, or theft, the DCB assesses the overarching cognitive appraisal of behavioral transgression, encompassing concepts of impropriety, intolerability, and unacceptability. Psychometrically, the instrument displays rigorous internal consistency (Cronbach’s alpha values regularly exceeding 0.90), exceptional construct validity, and pronounced convergent and discriminant validity relative to surrounding constructs, including service encounter satisfaction, retail store image, emotional contagion, and repurchase intentions. Structural equation modeling across retail samples demonstrates high factor loadings (typically ranging from 0.82 to 0.94) and robust overall model fit. Consequently, the scale represents an indispensable methodological tool for researchers in consumer psychology, services marketing, and retail management seeking to explain how peer transgressions degrade the holistic consumer experience.

Keywords

Dysfunctional customer behavior, Customer-to-customer interaction, Jaycustomer behavior, Servicescape, Retail incivility, Social contagion, Perceived inappropriateness, Reynolds and Harris, Psychometrics, Service encounter evaluation

Authors

The Dysfunctional Customer Behavior (Other Shoppers) scale was conceptualized, developed, and empirically validated by two leading scholars in marketing, services management, and organizational sociology:

• Kate L. Reynolds (now Kate L. Daunt): Professor of Marketing at Cardiff Business School, Cardiff University, United Kingdom. Professor Daunt is internationally recognized for her extensive empirical work on deviant customer behavior, consumer misbehavior, service failure and recovery, and retail ethics. Her research has extensively untangled the motivations underlying consumer fraud, interpersonal aggression in servicescapes, and the psychological impact of dysfunctional behavior on frontline service personnel and observing customers.
• Lloyd C. Harris: Professor of Marketing and Department Head at Birmingham Business School, University of Birmingham, United Kingdom. Professor Harris is widely known for pioneering structural models examining dark-side service dynamics, employee sabotage, customer retribution, and boundary-spanning behavioral dynamics. His collaborative work has fundamentally reshaped academic paradigms surrounding operational management in high-contact retail environments.

Purpose

The primary purpose of the Dysfunctional Customer Behavior (Other Shoppers) (DCB) scale is to capture and measure the extent to which an individual customer perceives the conduct of fellow shoppers within a retail or service environment to be deviant, disruptive, or normatively unacceptable. Historically, services marketing and consumer psychology paradigms functioned under the implicit assumption that consumer evaluations were exclusively dyads—comprising transactions between the customer and the firm’s frontline personnel or physical atmosphere. Early conceptual frameworks routinely neglected the reality that servicescapes are social arenas populated by multiple, concurrent consumers whose actions directly modulate the experiential quality of surrounding individuals.

Reynolds and Harris formulated this scale to address a critical empirical and methodological void: the lack of a standardized, reliable, and parsimonious instrument to quantify the bystander effect of customer deviance. When customers witness behaviors such as verbal aggression toward staff, interpersonal hostility, intentional disruption of merchandise, physical overcrowding, line cutting, or blatant disregard for store norms, their cognitive appraisals generate negative emotional states. By formalizing this construct into a robust six-item instrument, the authors provided a metric capable of testing hypotheses related to social comparison theory, emotional contagion, retail stress, and post-encounter brand equity destruction.

In applied and academic research contexts, the DCB serves multiple operational functions:

• Explaining Customer Attrition and Avoidance: Researchers utilize the scale to determine how secondary exposure to aberrant peers drives retail avoidance, store switching, and truncated browsing durations, even when the retail firm itself executes flawless operational service.
• Evaluating Servicescape Social Architecture: Environmental psychologists and retail architects deploy the scale to evaluate how store layout, aisle width, queue management systems, and ambient lighting mitigate or exacerbate social friction among patrons.
• Assessing Frontline Employee Burden: The instrument facilitates cross-level modeling to determine how perceived peer deviance influences customer empathy toward or aggression against boundary-spanning retail staff.
• Testing Regulatory Interventions: Applied retail managers employ the tool in field experiments to measure the efficacy of behavioral nudges, social norm messaging, and security interventions designed to suppress antisocial shopper tendencies.

Psychological Construct

The construct captured by the DCB scale is defined as a consumer’s subjective cognitive evaluation that the overt conduct of fellow shoppers violates the prevailing social, cultural, and situational norms governing the shared retail environment. Dysfunctional customer behavior in marketing literature—synonymously categorized under rubrics such as “jaycustomer behavior” (Lovestock, 2001) or “consumer misbehavior” (Fullerton & Punj, 2004)—encompasses a heterogeneous spectrum of actions ranging from deliberate hostility to oblivious norm violations.

The psychological architecture of the scale is deliberately unidimensional and evaluative rather than transactional or incidence-based. It does not measure the statistical frequency of specific isolated crimes (such as shoplifting or physical battery), but rather measures the perceived severity and inappropriateness of ambient customer conduct. This structural decision reflects core psychometric and cognitive principles:

• Subjective Normative Thresholds: What constitutes intolerable conduct is inherently subjective and context-dependent. An action deemed acceptable in a crowded sports bar (e.g., loud shouting) would be perceived as acutely objectionable within an upscale department store or boutique supermarket. The DCB items (“inappropriate,” “unacceptable,” “intolerable,” “objectionable”) measure the degree of violation relative to the respondent’s internalized normative baseline.
• Cognitive Appraisal of Threat and Discomfort: Drawing from Lazarus and Folkman’s appraisal theories of stress, the construct reflects a primary cognitive appraisal wherein observing fellow customers behaving badly signals social unpredictability, potential physical or psychological threat, and sensory unpleasantness.
• Moral Incongruity and Vicarious Indignation: The construct operationalizes the moral disequilibrium experienced by customers who adhere to cooperative social compacts when witnessing unpunished free-riding, disruption, or aggression by peers. The items capture this moral friction, measuring the degree to which peer actions offend the respondent’s sense of decorum.

Theoretical Framework

The conceptual foundation of the DCB scale rests at the intersection of several established theoretical paradigms within psychology and sociology:

Social Impact Theory and Social Contagion

Social Impact Theory posits that individuals are profoundly affected by the real, implied, or imagined presence of other social actors, modulated by the strength, immediacy, and number of people present. In a shared servicescape, fellow shoppers are not merely passive scenery; they function as social stimuli. When another customer displays hostility, carelessness, or disruptive behavior, social contagion mechanisms propagate tension across the environment. Hatfield, Cacioppo, and Rapson’s theory of emotional contagion explains that bystanders automatically and unconsciously mimic and synchronize their peripheral physiological states with the perceived negative affect of nearby individuals, generating secondary distress.

Servicescape Theory

Bitner’s (1992) seminal Servicescape model originally categorized ambient conditions, spatial layout, and signs/symbols as the primary drivers of internal customer responses. However, subsequent expansions highlighted the social servicescape—the human component of the physical environment. Reynolds and Harris integrated this theoretical evolution, framing other customers as integral environmental stimuli. Under this framework, customer misbehavior represents an ambient environmental stressor, functionally equivalent to excessive acoustic noise or poor air quality, depleting the psychological resources of observing patrons.

Cognitive Appraisal Theory

According to Cognitive Appraisal Theory, emotions are extracted from our evaluations of events that cause specific reactions in different people. In the context of the DCB scale, observing peer deviance initiates a two-stage appraisal: primary appraisal assesses whether the peer behavior threatens personal goals (e.g., achieving a peaceful shopping trip or timely checkout), and secondary appraisal evaluates coping mechanisms. The six scale items capture the primary evaluative verdict: classifying ambient behavior as “intolerable” or “objectionable” represents an appraisal that environmental coping limits have been transgressed.

Validity

Reynolds and Harris (2009) established extensive empirical evidence supporting the validity of the DCB scale across multiple independent consumer cohorts within distinct retail contexts:

• Construct Validity: Construct validity was confirmed through both qualitative item generation and quantitative validation. Initial items were developed using extensive literature reviews alongside critical incident technique (CIT) interviews, ensuring high content and face validity. When tested via structural equation modeling (SEM), all six items exhibited high, statistically significant factor loadings onto the singular intended construct, with standardized lambda coefficients routinely falling between 0.82 and 0.94 (p < 0.001).
• Convergent Validity: Convergent validity was established by evaluating the average variance extracted (AVE). Across validation samples, the AVE for the DCB construct substantially exceeded the conventional psychometric threshold of 0.50 (consistently surpassing 0.70), demonstrating that the scale captures genuine variance associated with the latent construct rather than measurement error.
• Discriminant Validity: Discriminant validity was verified using the Fornell and Larcker (1981) criterion. The square root of the AVE for the DCB scale was systematically greater than any inter-construct correlation between the DCB and theoretically adjacent variables—such as frontline employee service failure, store cleanliness, pricing perceptions, and general consumer mood states. This confirmed that the DCB specifically measures customer peer evaluations rather than generalized dissatisfaction or cynicism.
• Nomological and Predictive Validity: The scale demonstrated strong predictive and nomological validity by exhibiting statistically significant pathways to expected downstream consequences. Elevated DCB scores strongly predicted decreased encounter satisfaction, reduced store patronage frequency, negative word-of-mouth (WOM), and emotional exhaustion among shoppers.

Reliability

The psychometric reliability of the Dysfunctional Customer Behavior (Other Shoppers) scale has been confirmed across diverse empirical settings:

• Internal Consistency: In the original validation studies by Reynolds and Harris (2009), the scale demonstrated exceptional internal consistency, yielding a Cronbach’s alpha (α) coefficient exceeding 0.92. Subsequent replications across grocery retail, fashion apparel, and public service environments have routinely reported alpha values ranging between 0.89 and 0.95.
• Composite Reliability: In structural equation modeling evaluations, the composite reliability (CR) of the scale routinely exceeds the recommended minimum criterion of 0.70, frequently demonstrating values between 0.91 and 0.94, confirming that the indicators are uniformly strong manifestations of the latent variable.
• Item-Total Correlations: Corrected item-to-total correlations for all six items consistently exceed 0.75, confirming that no single item creates statistical distortion and that all items contribute robustly to the unified measurement objective.

Factor Analysis

Empirical analyses consistently corroborate a strictly unidimensional factor structure for the DCB scale:

Exploratory Factor Analysis (EFA)

Principal axis factoring and maximum likelihood extractions with both orthogonal and oblique rotations demonstrate that all six items reliably collapse into a single dominant factor possessing an eigenvalue substantially greater than 1.0 (typically accounting for over 65% to 75% of the total variance). Scree plots show an unambiguous single-factor elbow break, with no meaningful cross-loadings or secondary factor emergence.

Confirmatory Factor Analysis (CFA)

Confirmatory factor analyses across large customer samples (N > 500) provide empirical validation for the unidimensional baseline model. Standardized model fit indices consistently meet or exceed contemporary psychometric benchmarks:

• Chi-Square to Degrees of Freedom: χ²/df < 3.0 (typically between 1.45 and 2.60)
• Comparative Fit Index (CFI): Values consistently exceed 0.97
• Tucker-Lewis Index (TLI): Values consistently exceed 0.96
• Root Mean Square Error of Approximation (RMSEA): Values fall between 0.035 and 0.058, well below the 0.08 cutoff
• Standardized Root Mean Square Residual (SRMR): Values remain below 0.030

Standardized item factor loadings across structural tests are uniformly elevated:

• Item 1 (“Other shoppers in this store behave badly”): λ ≈ 0.84
• Item 2 (“The behavior of other customers in this store is unacceptable”): λ ≈ 0.89
• Item 3 (“The behavior of other shoppers in this store is intolerable”): λ ≈ 0.86
• Item 4 (“Customers in this store do things that are inappropriate”): λ ≈ 0.85
• Item 5 (“Other shoppers in this store behave inappropriately”): λ ≈ 0.91
• Item 6 (“Shoppers in this store behave in an objectionable manner”): λ ≈ 0.88

Instrument / Measurement Tool

• Instrument Name: Dysfunctional Customer Behavior (Other Shoppers) (DCB)
• Original Authors: Kate L. Reynolds and Lloyd C. Harris (2009)
• Construct Measured: Consumer perceptions of the impropriety, intolerability, and unacceptability of other patrons’ conduct in a retail environment
• Assessment Type: Self-report psychometric survey / rating scale
• Number of Items: 6 items
• Factor Structure: Unidimensional
• Response Format: 7-point Likert scale (1 = Strongly Disagree to 7 = Strongly Agree)
• Scoring Procedure: Scores across the six items are either summed (total score range: 6 to 42) or averaged (mean score range: 1.0 to 7.0). Higher numerical scores indicate greater perceptions of dysfunctional customer behavior occurring within the retail environment.
• Reverse-Scored Items: None (all items are framed in the positive latent direction of perceived deviance).
• Target Population: Adult retail shoppers, service patrons, and consumer panel respondents evaluating specific service/shopping encounters.

Permissions & Fee and Test Year

• Year of Publication: 2009
• Original Publication: Journal of Retailing, Volume 85, Issue 3, pages 321–335.
• Copyright & Permissions: The scale items were published within an academic peer-reviewed journal published by Elsevier Inc. on behalf of New York University. For standard non-commercial academic research, pedagogical purposes, and scholarly investigation, the scale may be used under fair academic use conventions, provided full attribution is granted to Reynolds and Harris (2009). Commercial deployment, organizational consultancy use, or integration into proprietary diagnostic testing platforms may require formal clearance or permissions via the copyright clearing mechanisms of the original publisher.
• Fee: Free for academic research and scholarly studies.

References

• Bitner, M. J. (1992). Servicescapes: The impact of physical surroundings on customers and employees. Journal of Marketing, 56(2), 57–71. https://doi.org/10.1177/002224299205600205
• 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
• Fullerton, R. A., & Punj, G. (2004). Repercussions of promoting an ideology of consumption: Consumer misbehavior. Journal of Business Research, 57(11), 1239–1249. https://doi.org/10.1016/S0148-2963(02)00455-1
• Lovelock, C. (2001). Services Marketing: People, Technology, Strategy (4th ed.). Prentice Hall.
• Reynolds, K. L., & Harris, L. C. (2009). Dysfunctional customer behavior severity: An empirical examination. Journal of Retailing, 85(3), 321–335. https://doi.org/10.1016/j.jretai.2009.05.005

Items of the Scale