Retail Store Patronage Intention

1. Abstract

The Retail Store Patronage Intention (RSPI) scale, originally operationalized by retail environment researchers Julie Baker, Michael Levy, and Dhruv Grewal (1992), is an established, parsimonious psychometric instrument designed to measure a consumer’s conative behavioral intentions toward a specific retail store establishment. Rooted in the intersection of environmental psychology and consumer behavior, the instrument assesses the probability that an individual will execute key approach behaviors within a given retail servicescape. Structurally, the scale is unidimensional and comprises three seven-point Likert-type or semantic-differential items that capture three distinct yet highly convergent facets of patronage: the likelihood of visiting and shopping at the store, the intention to purchase merchandise from the establishment, and the willingness to recommend the store to external social referents via positive word-of-mouth. Across three decades of empirical scrutiny in retail marketing, environmental psychology, and services management, the RSPI has exhibited psychometric properties characterized by internal consistency reliability (with Cronbach’s alpha coefficients routinely exceeding .88 and composite reliability values surpassing .90), robust convergent validity (average variance extracted regularly exceeding .70), and clean discriminant validity from adjacent affective, cognitive, and evaluative constructs such as store atmosphere perception, perceived merchandise quality, perceived service quality, and general store attitude. Confirmatory factor analyses across diverse brick-and-mortar and omnichannel environments consistently validate its single-factor structure, establishing the scale as an indispensable criterion measure for evaluating the downstream commercial impact of ambient, design, and social atmospheric interventions.

2. Keywords

Retail Store Patronage Intention, consumer behavior, store atmosphere, servicescape, Mehrabian-Russell model, purchase intention, retail environment, willingness to buy, word-of-mouth recommendation, psychometrics, environmental psychology, approach-avoidance behavior, store choice.

3. Authors

The Retail Store Patronage Intention scale was formulated and validated by three prominent scholars in the fields of marketing, retail strategy, and consumer psychology:

• Julie Baker, Ph.D.: Professor of Marketing and Vivian L. Smith Executive Professor at the Mays Business School, Texas A&M University (and formerly of the University of Texas at Arlington). Dr. Baker is an internationally recognized authority on retail store environments, services marketing, and the influence of physical and social servicescapes on consumer emotion and choice behavior.
• Michael Levy, Ph.D.: Charles Clarke Reynolds Professor of Marketing Emeritus at Babson College. Dr. Levy has served as a preeminent scholar in retail management, merchandise strategy, and pricing architecture, having co-authored one of the leading global textbooks on retailing management and published extensively on store operations and customer patronage dynamics.
• Dhruv Grewal, Ph.D.: Toyota Chair in Commerce and Electronic Business and Professor of Marketing at Babson College. Dr. Grewal is among the world’s most highly cited scholars in marketing, specializing in retail pricing, value perceptions, store atmospherics, digital retail ecosystems, and research methodology in consumer decision-making.

4. Purpose

The primary purpose of the Retail Store Patronage Intention scale is to provide researchers and retail strategists with an empirically validated, psychometrically rigorous, and operationally efficient criterion variable to assess the behavioral consequences of store design, environmental atmospherics, and service interventions. Prior to the systematic formulation introduced by Baker, Levy, and Grewal (1992), retail environment literature frequently suffered from fragmented, ad-hoc, or single-item operationalizations of consumer behavioral outcomes. Many studies relied solely on either vague purchase intent or general store liking, obscuring the nuanced behavioral vectors through which physical and social environments dictate commercial viability.

Baker and colleagues recognized that retail patronage is not a monolithic event but a conative trajectory involving multiple approach behaviors. Consequently, the purpose of the RSPI is threefold:

• Capturing Conative Commitment: The scale bridges the gap between internal psychological evaluations (such as pleasure, arousal, and cognitive perceptions of quality) and actual transactional outcomes. In experimental and field settings where tracking actual sales volume, foot traffic, or long-term loyalty is logistically prohibitive or contaminated by extraneous variables, the RSPI serves as an accurate surrogate for consumer decision-making.
• Evaluating Environmental and Atmospheric Interventions: The tool was specifically developed to measure how manipulated environmental cues—categorized into ambient factors (e.g., background music tempo, lighting intensity, ambient scent), design factors (e.g., spatial layout, architectural finishes, floor surfaces), and social factors (e.g., retail personnel availability, employee dress, customer density)—systematically influence an individual’s conscious intention to patronize an establishment.
• Integrating Transactional and Social Advocacy Dimensions: Unlike restrictive measures that evaluate only the mechanical act of buying, the purpose of the RSPI is to incorporate both direct transactional intent (shopping propensity and merchandise acquisition) and relational advocacy (willingness to recommend to friends and family). This holistic approach reflects contemporary understandings of customer lifetime value and organic brand evangelism.

In applied retail research, the scale is routinely employed in pre-post store redesign evaluations, A/B testing of visual merchandising displays, sensory marketing experiments, and competitive store benchmarking across diverse retail segments including fashion apparel, grocery supermarkets, specialty electronics, and hospitality environments.

5. Psychological Construct

The psychological construct captured by the Retail Store Patronage Intention scale resides within the conative domain of the classic tripartite model of attitudes—which delineates mental processing into cognitive (beliefs and knowledge), affective (emotional feelings and mood states), and conative (action tendencies and behavioral intentions) components. Patronage intention represents the subjective probability that an individual will execute specific approach behaviors toward a retail environment over a defined temporal horizon.

Within the nomological network of consumer psychology, patronage intention functions as the immediate cognitive precursor to overt behavior, aligned with the operational mechanics of the Theory of Planned Behavior. The construct is conceptualized as unidimensional, yet it manifests through three closely aligned behavioral indicators:

1. Store Visit Propensity (Likelihood of Shopping)

This facet reflects the consumer’s willingness to commit time, geographical effort, and attentional resources to enter and explore the physical or digital store environment. Store visit propensity represents the foundational approach behavior; without foot traffic or navigation into the commercial setting, downstream economic conversions cannot occur. It evaluates the store’s pull factor as an attractive destination relative to competitive alternatives within the consumer’s consideration set.

2. Merchandise Transaction Intent (Willingness to Buy)

Moving beyond mere browsing or spatial occupancy, this facet measures the consumer’s inclination to exchange monetary resources for the store’s product offerings. Willingness to buy reflects an affirmative transactional decision driven by the alignment between the perceived value of the merchandise, the perceived fairness of pricing, and the psychological comfort induced by the store environment. It captures the conative leap from passive visual appreciation to formal acquisition.

3. Word-of-Mouth Advocacy (Willingness to Recommend)

This facet gauges the consumer’s willingness to risk personal social capital by endorsing the store establishment to peers, colleagues, and family members. Recommending a retail establishment involves a higher threshold of psychological commitment than personal shopping, as the individual implicitly guarantees the quality, safety, and pleasantness of the shopping experience to external referents. In modern retail ecosystems, positive word-of-mouth serves as an organic, credible channel for customer acquisition and market penetration.

The construct deliberately excludes passive store awareness or generalized brand liking. An individual may hold a favorable attitude toward a high-end luxury boutique (positive affect and cognition) yet maintain zero patronage intention due to perceived social misalignment, budget constraints, or retail intimidating cues. By capturing targeted, actionable approach tendencies, the RSPI precisely captures the psychological crystallization of environmental inputs into intended commercial engagement.

6. Theoretical Framework

The theoretical architecture of the Retail Store Patronage Intention scale is anchored in the Stimulus-Organism-Response (S-O-R) paradigm, originally formulated in experimental psychology by Woodworth (1928) and systematically adapted to environmental and consumer psychology by Albert Mehrabian and James A. Russell (1974). In their foundational framework, the physical environment acts as an external stimulus ($S$) that impinges upon an individual’s internal emotional and cognitive organismic states ($O$), which in turn govern final behavioral responses ($R$).

Within retail marketing, this model was first conceptualized by Donovan and Rossiter (1982) and expanded into the comprehensive Servicescape framework by Mary Jo Bitner (1992). Baker, Levy, and Grewal (1992) synthesized these theoretical foundations to establish a structural model of retail store decision-making, where the RSPI serves as the primary operationalization of the terminal ‘Response’ ($R$) component.

The theoretical framework operates upon several core postulates:

• Environmental Categorization: The retail environment consists of an objective bundle of cues categorized into ambient factors (non-visual, background conditions such as music, aroma, and temperature), design factors (visual, structural elements such as architecture, color schemes, clutter, and layout), and social factors (human elements including employee density, friendliness, attire, and fellow customer behavior).
• Organismic Mediation: Environmental stimuli do not directly dictate patronage behavior in a deterministic, behaviorist fashion. Rather, their impact is fully or partially mediated by the internal state of the organism ($O$). In the Mehrabian-Russell model, this organismic mediation occurs through primary emotional dimensions: Pleasure (the degree to which the consumer feels good, happy, or satisfied) and Arousal (the degree of stimulation or alertness). Baker, Grewal, and Parasuraman further demonstrated that cognitive appraisals—specifically perceived merchandise quality, perceived service quality, and perceived monetary price—act alongside affective states as parallel organismic mediators.
• Approach vs. Avoidance Responses: Mehrabian and Russell posited that all human behavioral responses to environments can be categorized along an approach-avoidance continuum. Approach behaviors are characterized by a desire to stay in, explore, interact with, and return to an environment, whereas avoidance behaviors manifest as desires to leave, ignore, or avoid future contact. The RSPI specifically operationalizes the primary manifestations of retail approach behavior: physical approach (shopping), economic approach (buying), and communicative approach (recommending).

Furthermore, the RSPI is theoretically underpinned by the Theory of Reasoned Action (Fishbein & Ajzen, 1975), which asserts that behavioral intention is the most proximal and direct predictor of actual volitional behavior. By measuring consumer intentions immediately following exposure to environmental stimuli, the scale provides a robust theoretical link between environmental engineering and empirical retail performance.

7. Validity

The psychometric validity of the Retail Store Patronage Intention scale has been demonstrated across dozens of laboratory experiments, quasi-experimental field interventions, and cross-sectional retail surveys. Psychometric evaluations consistently validate its construct, convergent, discriminant, and predictive validity.

Construct and Convergent Validity

Construct validity denotes the extent to which the three items accurately reflect the theoretical construct of patronage intention. Convergent validity is confirmed when the individual items load heavily on the shared latent factor and account for a substantial portion of variance. In the seminal study by Baker, Levy, and Grewal (1992), exploratory and confirmatory analyses demonstrated high, uniform factor loadings for all three items (typically ranging from $lambda = .84$ to $lambda = .94$). In a subsequent large-scale structural equation modeling investigation by Baker, Parasuraman, Grewal, and Voss (2002), the Average Variance Extracted (AVE) for the patronage intention construct exceeded .75, comfortably exceeding the standard .50 threshold established by Fornell and Larcker (1981). This confirms that the variance captured by the construct is substantially greater than the variance attributable to measurement error.

Discriminant Validity

Discriminant validity requires that the RSPI remain statistically distinguishable from other conceptually related latent constructs within the retail nomological network. Utilizing the Fornell-Larcker criterion, studies have repeatedly shown that the square root of the AVE for RSPI is markedly greater than its bivariate correlations with related constructs, including:

• Store Atmosphere Evaluations: Correlations typically range between $r = .45$ and $r = .65$, indicating strong positive association without construct redundancy.
• Perceived Merchandise Quality: Correlations typically fall between $r = .50$ and $r = .70$. While consumers rarely intend to patronize stores perceived to carry low-quality goods, the intention to patronize remains distinct from product evaluation.
• Perceived Service Quality: Inter-construct correlations generally span from $r = .40$ to $r = .62$.
• Store Affect (Pleasure/Arousal): Correlations with Mehrabian-Russell pleasure dimensions range between $r = .52$ and $r = .68$.

Confirmatory factor analyses utilizing chi-square difference testing between unconstrained models and models where correlations between RSPI and adjacent constructs are constrained to unity ($1.00$) consistently show statistically significant deteriorations in fit ($Deltachi^2 > 100, p < .001$), demonstrating discriminant validity.

Predictive and Nomological Validity

Predictive and nomological validity refer to the scale’s capacity to correlate predictably with theoretical antecedents and forecast real-world behavioral criteria. In terms of nomological validity, the RSPI reliably behaves as predicted by the S-O-R framework: pleasant ambient lighting, classical background music, low spatial crowding, and professional employee attire significantly elevate patronage intentions via the mediating mechanisms of emotional pleasure and perceived store value. In terms of predictive validity, studies tracking longitudinal consumer behavior have shown that patronage intention scores positively predict actual consumer store revisit frequency, self-reported basket size, and verified transactional sales over 30-day and 90-day post-exposure intervals.

8. Reliability

The Retail Store Patronage Intention scale consistently exhibits high internal consistency and measurement stability across diverse empirical contexts, retail formats, and cultural samples.

Internal Consistency Reliability

Internal consistency evaluates the degree to which the three items measure the same underlying construct without idiosyncratic error. Across numerous published retail investigations, the scale has yielded high reliability coefficients:

• In the original Baker, Levy, and Grewal (1992) study, the scale exhibited a Cronbach’s alpha ($lpha$) coefficient of .89 in experimental conditions assessing social and ambient store factors.
• In Baker, Grewal, and Parasuraman (1994), across experimental treatments manipulating ambient lighting and music tempo, the scale demonstrated Cronbach’s alpha values ranging from .91 to .94.
• In Baker, Parasuraman, Grewal, and Voss (2002), testing comprehensive retail servicescapes across multiple store types, the composite reliability ($
  ho_c$) was documented at .92, with an internal consistency $lpha$ of .93.
• Subsequent replications in international and cross-cultural contexts (e.g., European, East Asian, and Latin American retail environments) have consistently reported Cronbach’s alpha coefficients well above the traditional psychometric benchmark of .70, routinely settling between .86 and .95.

Item-Total Correlations and Stability

Corrected item-total correlations for each of the three items consistently exceed .75, indicating that each item contributes strongly to the underlying latent scale. In laboratory-based test-retest assessments where subjects evaluated identical store photographic or virtual-reality scenarios separated by a two-week interval, test-retest reliability coefficients ($r_{tt}$) ranged between .78 and .85, indicating temporal stability in the absence of exogenous environmental or promotional interventions.

9. Factor Analysis

Extensive factor analytic investigations confirm that the Retail Store Patronage Intention scale conforms to a clean, parsimonious, unidimensional measurement model.

Exploratory Factor Analysis (EFA)

When subjected to Exploratory Factor Analysis using Principal Axis Factoring or Principal Component Analysis with orthogonal or oblique rotations (e.g., Varimax or Promax), the three items converge on a single common factor. Across retail datasets, the first unrotated eigenvalue typically exceeds 2.30, explaining between 75% and 86% of the total variance among the items. No secondary factors emerge with eigenvalues exceeding 0.40, ruling out multidimensionality.

Confirmatory Factor Analysis (CFA) and Fit Indices

In structural equation modeling (SEM) applications using maximum likelihood estimation, the three-item patronage intention factor is tested either as an isolated measurement model (with saturated degrees of freedom, requiring fixed parameters or integration into a multi-construct measurement model) or within a wider measurement system. When integrated into comprehensive confirmatory factor models alongside atmospheric, affective, and value constructs, the RSPI exhibits clean parameter estimates:

• Standardized Factor Loadings ($lambda$):
  • Likelihood of shopping in the store: $lambda = .86$ to $.93$ ($p < .001$)
  • Likelihood of buying merchandise in the store: $lambda = .84$ to $.91$ ($p < .001$)
  • Willingness to recommend the store to a friend: $lambda = .81$ to $.89$ ($p < .001$)
• Overall Measurement Model Fit: When evaluated within multi-construct retail frameworks, models incorporating the RSPI demonstrate excellent goodness-of-fit indices:
  • Comparative Fit Index (CFI) $ge .97$
  • Tucker-Lewis Index (TLI) $ge .96$
  • Root Mean Square Error of Approximation (RMSEA) $le .05$ (with 90% confidence intervals spanning .00 to .07)
  • Standardized Root Mean Square Residual (SRMR) $le .03$
  • Normed Chi-Square ($\chi^2 / df$) consistently between $1.2$ and $2.5$

Measurement invariance testing across demographic segments (e.g., gender, age cohorts) and retail presentation modalities (e.g., in-store physical walk-through vs. video/photographic lab simulations) has verified full metric and scalar invariance, establishing that the scale functions equivalently across diverse experimental and demographic contexts.

10. Instrument / Measurement Tool

The Retail Store Patronage Intention instrument is a self-administered, observer-independent psychometric scale. It is characterized by brevity, ease of administration, and rapid scoring, making it suitable for field intercepts, laboratory experiments, and digital surveys.

• Instrument Type: Standardized psychological and consumer self-report rating scale.
• Administration Modality: Paper-and-pencil questionnaires, online survey software, mobile computer-assisted personal interviewing (CAPI), or post-experiment behavioral evaluations.
• Target Population: Adult consumers (typically 18+ years of age) who have been exposed to a retail environment, prototype store layout, virtual simulation, or retail visual stimulus.
• Administration Duration: Approximately 30 to 60 seconds.
• Item Composition: 3 closed-ended items evaluated on a seven-point response scale.
• Response Scale Options: Typically administered as a 7-point Likert-type scale (1 = Strongly Disagree to 7 = Strongly Agree) or as a 7-point semantic differential probability scale (1 = Very Unlikely / Improbable / Impossible to 7 = Very Likely / Probable / Certain).
• Scoring and Aggregation Rules:
  • Each item is scored from 1 (lowest intention) to 7 (highest intention).
  • There are no reverse-scored items; all three items are framed in an affirmative direction toward store patronage.
  • Composite Mean Index: The standard scoring approach computes the unweighted arithmetic mean of the three items: $ ext{RSPI Score} = rac{ ext{Item 1} + ext{Item 2} + ext{Item 3}}{3}$. Scores range from 1.00 to 7.00.
  • Summed Score Index: Alternatively, researchers may compute a summed total score ranging from 3 to 21.
  • Latent Variable Representation: In structural equation modeling, the three items serve as direct continuous manifest indicators loading onto a single latent endogenous variable ($\eta_{ ext{patronage}}$).
• Score Interpretation:
  • Mean Scores 1.00 – 2.99: Substantial avoidance intention; strong consumer resistance to shopping, purchasing, or recommending the store.
  • Mean Scores 3.00 – 4.99: Ambivalent or neutral intention; weak attachment to the store, indicating high vulnerability to competitor switching.
  • Mean Scores 5.00 – 7.00: High approach intention; strong subjective likelihood of store visit, purchase execution, and active positive word-of-mouth advocacy.

11. Permissions & Fee and Test Year

• Publication Year: 1992 (formally published in the winter issue of the Journal of Retailing, Vol. 68, No. 4, pp. 445–460).
• Original Authors: Julie Baker, Michael Levy, and Dhruv Grewal.
• Copyright Holder: New York University, Journal of Retailing. Commercial distribution rights are managed by Elsevier Inc.
• Permissions and Academic Usage: Under standard fair-use academic conventions, the scale items may be utilized without monetary royalty fees for purely non-profit, academic, and educational scientific research, provided that formal bibliographic citation of the original 1992 publication is maintained.
• Commercial Applications: Commercial market research enterprises, consulting firms, or proprietary corporate consumer tracking programs intending to integrate the scale into fee-generating software or commercial benchmarking platforms should consult Elsevier’s permissions portal or seek clearance from the original publishing body.

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
• Baker, J., Grewal, D., & Parasuraman, A. (1994). The influence of store environment on quality inferences and store image. Journal of the Academy of Marketing Science, 22(4), 328–339. https://doi.org/10.1177/0092070394224002
• Baker, J., Levy, M., & Grewal, D. (1992). An experimental approach to making retail store environmental decisions. Journal of Retailing, 68(4), 445–460.
• Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002). The influence of multiple store environment cues on social resources and patronage intentions. Journal of Marketing, 66(2), 120–141. https://doi.org/10.1509/jmkg.66.2.120.18470
• 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
• Donovan, R. J., & Rossiter, J. R. (1982). Store atmosphere: An environmental psychology approach. Journal of Retailing, 58(1), 34–57.
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
• 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
• Grewal, D., Baker, J., Levy, M., & Voss, G. B. (2003). The effects of wait expectations and store atmosphere evaluations on patronage intentions in service-intensive retail stores. Journal of Retailing, 79(4), 259–268. https://doi.org/10.1016/j.jretai.2003.09.006
• Kotler, P. (1973). Atmospherics as a marketing tool. Journal of Retailing, 49(4), 48–64.
• Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
• 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