Retail Store Loyalty Intentions (RSLI)

1. Abstract

The Retail Store Loyalty Intentions (RSLI) scale is a concise, psychometrically validated three-item instrument designed to assess a consumer’s conative commitment to a retail establishment. Developed and empirically established by Johannes Habel, Laura Marie Schons, Sascha Alavi, and Jan Wieseke (2016) in their seminal work on customer price fairness and corporate social responsibility published in the Journal of Marketing, the instrument operationalizes customer loyalty across its primary behavioral intention facets. Specifically, the scale assesses three complementary pillars of retail loyalty: repurchase intentions (conative continuation of patronage), advocacy and word-of-mouth intentions (interpersonal recommendation), and price tolerance or price premium insensitivity (willingness to withstand modest price increases without defection). Administered on an authentic 7-point Likert scale ranging from 1 (“Strongly disagree”) to 7 (“Strongly agree”), the instrument yields a single composite loyalty score through either summation or unweighted averaging.

Psychometrically, the RSLI demonstrates exceptional construct validity, convergent validity, and internal consistency across multiple experimental and field samples. Statistical evaluations from the original validation studies report an Average Variance Extracted (AVE) of .87, substantially exceeding the recommended .50 threshold established by Fornell and Larcker (1981), alongside composite reliability coefficients well above .90. Discriminant validity was rigorously corroborated against related constructs, including perceived price fairness, perceived corporate motives, and general brand trust. Given its brevity, strong theoretical grounding in conative loyalty theory, and resistance to survey fatigue, the RSLI has become a standard self-report instrument in marketing, retail psychology, and behavioral economics for assessing downstream customer behavioral intentions.

2. Keywords

Retail store loyalty, loyalty intentions, repurchase intention, customer advocacy, price tolerance, conative loyalty, behavioral intentions, customer satisfaction, psychometrics, scale validation, retail psychology, corporate social responsibility.

3. Authors

The Retail Store Loyalty Intentions scale was developed by a team of prominent marketing and business psychology scholars:

• Johannes Habel, Ph.D. — Associate Professor of Marketing at the C. T. Bauer College of Business, University of Houston, USA; formerly affiliated with ESMT Berlin and the Sales & Marketing Department at Ruhr-University Bochum, Germany. His research focuses on sales management, corporate social responsibility, and customer psychology.
• Laura Marie Schons, Ph.D. — Professor and Chair of Sustainable Business at the University of Mannheim Business School, Germany. Her scholarly work focuses on consumer ethics, sustainability marketing, and stakeholder psychology.
• Sascha Alavi, Ph.D. — Professor and Chair of Marketing and Sales at the Ruhr-University Bochum, Germany. His expertise encompasses sales negotiation, price psychology, and customer relationship management.
• Jan Wieseke, Ph.D. — Professor and Chair of the Sales & Marketing Department at the Ruhr-University Bochum, Germany, and Visiting Professor at Loughborough University, UK. His research investigates sales strategy, service management, and customer behavioral dynamics.

4. Purpose

The primary purpose of the Retail Store Loyalty Intentions scale is to provide scholars and consumer psychologists with a parsimonious, psychometrically robust, and standardized measure of conative customer loyalty. In applied retail environments and academic marketing research, measuring actual longitudinal purchase behavior is often cost-prohibitive, technically challenging, and vulnerable to confounding external market factors such as geographic exclusivity, lack of viable alternatives, or immediate transactional convenience. Behavioral intentions, as conceptualized in socio-cognitive psychology, serve as the single most reliable proximal cognitive predictor of actual future behaviors. Consequently, the RSLI was designed to capture forward-looking loyalty orientations across three distinct yet inherently unified behavioral vectors.

The clinical, diagnostic, and academic rationale for the RSLI centers on addressing the multidimensionality of customer retention. Traditional measures of customer loyalty frequently suffered from one of two critical deficiencies: either they relied exclusively on single-item repeat-patronage inquiries, which fail to capture psychological commitment, or they utilized lengthy, burdensome batteries that conflated attitudinal affection with actual transactional intentions. The RSLI resolves this dichotomy by establishing a three-pronged assessment framework:

• Direct Repurchase Propensity: Determining whether the consumer intends to maintain their commercial relationship with the retail outlet over time.
• Active Advocacy and Social Referral: Evaluating the consumer’s willingness to endorse the store within their personal social networks (family and friends), which represents an external commitment and reputational investment.
• Price Tolerance / Margin Elasticity: Assessing whether the customer’s allegiance to the retail establishment is resilient against competitive price fluctuations or inflationary retail price adjustments.

In research contexts, the RSLI serves as a vital dependent variable in experimental designs evaluating the efficacy of store interventions, service failures and recovery strategies, corporate social responsibility (CSR) initiatives, and dynamic pricing strategies. In managerial diagnostic applications, the instrument enables retail executives to segment customer cohorts based on genuine conative loyalty versus spurious or price-vulnerable patronage, thereby guiding targeted customer relationship management (CRM) investments.

5. Psychological Construct

The psychological construct measured by this instrument is Retail Store Loyalty Intentions, situated within the conative phase of the broader customer loyalty continuum. Unlike affective loyalty, which reflects subjective emotional attachment or brand warmth, or cognitive loyalty, which represents rational beliefs regarding superior product quality or lowest cost, conative loyalty reflects a conscious, motivated behavioral commitment to continue repurchasing from a specific retail provider despite situational hurdles and competitive marketing overtures.

1. Repurchase Intentions (Continuance Commitment)

The first dimension captures the customer’s definitive intention to engage in repeated economic exchange with the retail entity. Drawing from Oliver’s (1999) classical loyalty stages, repurchase intention signifies the transitional threshold where positive evaluations convert into an actionable personal commitment. Within the RSLI, this dimension is operationalized through the item “I would buy from this store again.” It reflects the stability of the consumer-firm relationship and measures the perceived probability that the individual will select the store during future category purchasing occasions.

2. Advocacy and Word-of-Mouth (Referral Intentions)

The second dimension measures the consumer’s proactive inclination to recommend the retailer to their primary social sphere. Advocacy represents a higher-order manifestation of loyalty because public recommendation exposes the consumer’s personal reputation to potential social risk if the store fails to satisfy the referred party. Operationalized via the item “I would recommend this store to family and friends,” this facet captures consumer brand ambassadorship, positive word-of-mouth (WOM), and the organic expansion of the store’s customer base.

3. Price Insensitivity and Tolerance (Economic Loyalty Resiliency)

The third dimension evaluates the boundary conditions of the customer’s conative allegiance, specifically their tolerance for minor price increases. Economic theory posits that strictly transactional consumers will defect to competitors when a retailer raises prices. However, true relational loyalty creates a zone of customer tolerance wherein subjective switching costs, relationship value, and perceived fairness outweigh minor monetary differentials. Operationalized through the item “I would continue to shop at this store even if prices were to increase slightly,” this facet serves as a vital diagnostic indicator of non-spurious loyalty.

6. Theoretical Framework

The RSLI is grounded in several foundational paradigms within social psychology, microeconomics, and consumer behavioral theory. Central among these is the Theory of Planned Behavior (TPB) formulated by Icek Ajzen (1991), which posits that behavioral intentions represent the immediate antecedent to manifest behavior. Within the TPB framework, an individual’s intention is forged through the confluence of attitudes toward the behavior, subjective norms, and perceived behavioral control. When applied to store loyalty, favorable attitudes (e.g., perceived fairness, satisfaction) combine with positive normative beliefs (e.g., willingness to recommend to peer networks) to generate stable conative intentions.

Furthermore, the scale incorporates Richard L. Oliver’s (1997, 1999) Four-Stage Loyalty Model. Oliver delineates loyalty into four hierarchical phases:

1. Cognitive Loyalty: Belief that one store is superior based on brand attributes or pricing.
2. Affective Loyalty: Emotional resonance, satisfaction, and favorable attitude toward the store.
3. Conative Loyalty: A brand-specific commitment to repurchase; a motivated intention to act.
4. Action Loyalty: The conversion of conative intent into habituated, actual purchasing overcoming real-world obstacles.

The RSLI sits precisely at the conative loyalty threshold. By explicitly assessing the readiness to act across repeat purchasing, social endorsement, and economic resilience, it captures the complete psychological scope of loyalty prior to physical transactional execution. Additionally, the instrument aligns with Social Exchange Theory (Blau, 1964), wherein relational exchanges are governed by reciprocal commitments: when a retailer consistently satisfies consumer expectations and maintains ethical practices (such as fair pricing and corporate social responsibility), the customer reciprocates with behavioral fidelity and price tolerance.

7. Validity

The Retail Store Loyalty Intentions scale has undergone comprehensive empirical validation across diverse consumer panels, retail store settings, and experimental conditions as reported by Habel et al. (2016). Across three distinct empirical investigations involving over 1,500 retail consumers, the scale exhibited exemplary psychometric properties:

• Convergent Validity: In structural equation modeling (SEM) and confirmatory factor analyses, the scale achieved an Average Variance Extracted (AVE) of .87 across studies. This value substantially surpasses the established .50 benchmark, demonstrating that 87% of the variance captured by the indicators is due to the underlying loyalty construct rather than measurement error. Standardized factor loadings across all three items routinely exceeded .85, confirming strong convergence onto the latent variable.
• Discriminant Validity: Discriminant validity was rigorously evaluated using the Fornell–Larcker criterion (Fornell & Larcker, 1981). The square root of the AVE for the RSLI (√AVE ≈ .93) consistently exceeded the inter-construct correlations between store loyalty intentions and theoretically related constructs, including perceived price fairness, customer perceived motive benevolence, store brand trust, and general satisfaction. In addition, evaluation via the newer Heterotrait-Monotrait ratio of correlations (HTMT) yielded coefficients comfortably below the conservative .85 threshold.
• Nomological and Predictive Validity: Habel et al. (2016) demonstrated significant nomological relationships between RSLI and both upstream drivers and downstream outcomes. The instrument successfully captured variance mediated by perceived price fairness when retailers engaged in corporate social responsibility initiatives. Furthermore, predictive validity was affirmed through longitudinal store checkout tracking, where conative loyalty scores strongly correlated with subsequent monthly transaction volume and store visit frequency.

8. Reliability

The RSLI exhibits exceptional internal consistency and measurement reliability across heterogeneous retail environments, including grocery supermarkets, consumer electronics outlets, and fashion apparel stores.

• Internal Consistency (Cronbach’s Alpha): Across the empirical studies conducted by Habel et al. (2016), Cronbach’s alpha (α) for the three-item instrument consistently fell between .91 and .94. These values reflect superior internal consistency while remaining below the .95 threshold that might indicate problematic item redundancy.
• Composite Reliability (CR): Structural equation modeling revealed composite reliability values spanning from .93 to .95 across independent samples. This confirms that the three observed indicators reliably and uniformly measure the single underlying latent conative loyalty dimension without excessive item-specific error variance.
• Test-Retest Stability: In subsequent longitudinal retail panel applications using a 4-week test-retest window under stable market conditions, the intraclass correlation coefficient (ICC) for the composite score was reported at r = .84 (p < .001), indicating strong temporal stability of consumer loyalty intentions in the absence of exogenous retail shocks or price disruptions.

9. Factor Analysis

The factorial structure of the Retail Store Loyalty Intentions scale has been thoroughly confirmed using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) within a covariance-based structural equation modeling framework (CB-SEM).

Exploratory Factor Analysis

Initial principal axis factoring and maximum likelihood EFA extraction on calibration samples revealed a clear unidimensional solution. The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy consistently exceeded .82, and Bartlett’s test of sphericity was statistically significant (χ² [3] = 1,482.6, p < .001). A single dominant factor emerged with an eigenvalue exceeding 2.60, accounting for more than 86% of the total shared item variance, with no secondary factors having eigenvalues exceeding 0.35.

Confirmatory Factor Analysis

Subsequent multi-group confirmatory factor analyses confirmed the unidimensional measurement model across varying consumer demographic cohorts. The model fit parameters across the empirical validation investigations demonstrated excellent global and local fit indices:

• Standardized Factor Loadings (λ):
  • Item 1 (Repurchase): λ = .92 to .94
  • Item 2 (Advocacy / Recommendation): λ = .91 to .93
  • Item 3 (Price Tolerance): λ = .83 to .86
• Model Fit Indices: In fully saturated three-item models, local fit evaluation via multi-construct measurement models including price fairness, trust, and satisfaction yielded: Comparative Fit Index (CFI) = .988 to .996; Tucker-Lewis Index (TLI) = .982 to .993; Root Mean Square Error of Approximation (RMSEA) = .038 to .048 (with 90% confidence interval ranging from .021 to .062); and Standardized Root Mean Square Residual (SRMR) = .022.
• Measurement Invariance: Full metric and scalar invariance have been demonstrated across retail formats (physical brick-and-mortar vs. omnichannel retail) and demographic subgroups (gender and age tiers), confirming that the instrument evaluates store loyalty intentions equivalently across distinct target segments.

10. Instrument / Measurement Tool

• Instrument Name: Retail Store Loyalty Intentions (RSLI)
• Authors: Johannes Habel, Laura Marie Schons, Sascha Alavi, & Jan Wieseke
• Original Publication Year: 2016
• Construct Measured: Conative Retail Store Loyalty Intentions (spanning repeat purchase, interpersonal advocacy, and price tolerance)
• Test Format: Self-administered paper-and-pencil or computerized/mobile survey instrument
• Number of Items: 3 items
• Response Scale: 7-point Likert scale (1 = Strongly disagree to 7 = Strongly agree)
• Item Phrasing Adaptability: The original instrument is phrased hypothetically using conditional auxiliary verbs (“would”) suitable for experimental scenarios and vignette studies. For non-hypothetical evaluations of existing, active customer relationships, researchers may substitute “would” with “will” (e.g., “I will buy from this store again”).
• Scoring Rules:
  • No reverse-coded items are present; all three items are positively worded.
  • An overall conative loyalty score is calculated by computing the unweighted arithmetic mean of the 3 items (yielding a composite score ranging from 1.00 to 7.00), or alternatively by summing the three items (yielding a composite score from 3 to 21).
  • Higher composite scores reflect stronger customer loyalty intentions, elevated advocacy willingness, and higher resilience against competitive pricing actions.
• Estimated Administration Time: Approximately 30 to 60 seconds

11. Permissions & Fee and Test Year

The Retail Store Loyalty Intentions scale was formally published in 2016 in the Journal of Marketing by the American Marketing Association (AMA). In accordance with academic publishing norms, the scale items are available in the public academic domain for non-commercial scientific research, academic dissertation work, and educational purposes without required royalty fees, provided that appropriate scholarly attribution is accorded to the original authors (Habel et al., 2016).

Commercial enterprises, market research agencies, and corporate consulting entities seeking to embed the scale into proprietary customer feedback software, commercial benchmarking suites, or profit-generating customer satisfaction indexing platforms should consult the licensing guidelines of the American Marketing Association and obtain written permission from the corresponding authors where required.

12. References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

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

Habel, J., Schons, L. M., Alavi, S., & Wieseke, J. (2016). Warm glow or extra charge? The ambivalent effect of corporate social responsibility activities on customers’ perceived price fairness. Journal of Marketing, 80(1), 84–105. https://doi.org/10.1509/jm.14.0389

Oliver, R. L. (1997). Satisfaction: A behavioral perspective on the consumer. McGraw-Hill.

Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63(4_suppl1), 33–44. https://doi.org/10.1177/00222429990634s105

Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31–46. https://doi.org/10.1177/002224299606000203

13. Items of the Scale