Experiential Value Scale (EVS)

1. Abstract

The Experiential Value Scale (EVS), developed by Charla Mathwick, Naresh K. Malhotra, and Edward E. Rigdon (2001), is a prominent psychometric instrument designed to conceptualize, assess, and operationalize the multifaceted dimensions of consumer experiential value within modern retail and service environments. Grounded fundamentally in Morris B. Holbrook’s seminal (1994, 1999) axiology and typology of perceived consumer value, the EVS captures value as a relativistic, interactive preference experience characterized across two core continuous axes: extrinsic versus intrinsic motivation, and active versus reactive consumer engagement. The resulting multidimensional scale delineates experiential value into four primary second-order dimensions operationalized through seven first-order subscales: Consumer Return on Investment (CROI) (subdivided into Efficiency and Economic Value), Service Excellence, Playfulness (encompassing Escapism and Enjoyment), and Aesthetic Appeal (encompassing Visual Appeal and Entertainment/Design Quality).

Comprising 14 core items administered via a 7-point Likert response format (ranging from 1 = “Strongly Disagree” to 7 = “Strongly Agree”), the instrument was systematically tested and validated across digital e-commerce platforms and catalogue retail contexts. Psychometric evaluations using structural equation modeling demonstrate robust construct validity, high internal consistency across subscales (Cronbach’s alphas typically spanning 0.78 to 0.92; composite reliabilities exceeding recommended psychometric thresholds), robust discriminant validity using Fornell-Larcker criteria, and strong predictive validity regarding customer preference, satisfaction, brand equity, and repeat patronization loyalty. This article provides a comprehensive academic review of the EVS, explicating its theoretical genealogy, structural taxonomy, psychometric properties, factor structure, and substantive research and managerial applications.

2. Keywords

Experiential Value Scale, EVS, Consumer Perceived Value, Holbrook Typology, Consumer Return on Investment, Aesthetic Appeal, Retail Playfulness, Service Excellence, Experiential Marketing, Psychometrics

3. Authors

The Experiential Value Scale was conceptualized, formulated, and psychometrically validated by:

• Charla Mathwick, Ph.D. — Associate Professor of Marketing, School of Business, Portland State University, Portland, Oregon, United States. Dr. Mathwick’s research focuses on online consumer behavior, brand communities, peer-to-peer virtual environments, and experiential consumption.
• Naresh K. Malhotra, Ph.D. — Regents’ Professor Emeritus of Marketing, Scheller College of Business, Georgia Institute of Technology, Atlanta, Georgia, United States. Dr. Malhotra is a distinguished Fellow of the Academy of Marketing Science and the American Marketing Association, renowned for his foundational textbooks on marketing research and methodological treatises on structural equation modeling and psychometrics.
• Edward E. Rigdon, Ph.D. — Professor of Marketing, J. Mack Robinson College of Business, Georgia State University, Atlanta, Georgia, United States. Dr. Rigdon is an internationally recognized quantitative methodologist specializing in covariance-based and composite structural equation modeling (SEM), latent variable measurement, and psychological scale validation.

4. Purpose

The development of the Experiential Value Scale emerged in response to persistent theoretical and empirical limitations in traditional consumer behavior literature. Prior to the work of Mathwick et al. (2001), the predominant paradigm for measuring consumer value relied almost exclusively on cognitive-economic, trade-off formulations—most notably Zeithaml’s (1988) classical conceptualization of perceived value as a rudimentary calculus between “give” (monetary price, physical effort, time) and “get” (product utility, acquisition benefits). While this utilitarian framing sufficiently accounted for functional purchase evaluations, it systematically obscured the rich, hedonic, affective, and sensorial components inherent in contemporary retail environments, catalogue browsing, and emerging internet-based electronic commerce.

The primary purpose of the EVS is to provide an empirically valid, structurally sound, and theoretically exhaustive measurement tool that captures the holistic, subjective experience of consumption. Recognizing that shopping encounters generate perceived value not solely through transactional product acquisition but through the dynamic, interactive process of engaging with the retail environment, the EVS operationalizes both utilitarian and hedonic value streams. Specifically, the instrument aims to:

• Quantify the non-transactional, intrinsically rewarding outcomes of shopping environments, including sensory immersion, visual beauty, emotional escapism, and spontaneous recreation.
• Measure the utilitarian task-related efficiencies that modern consumers value, such as time conservation, convenience, navigation optimization, and economic return on expended resources.
• Disentangle reactive evaluations of retailer competence, curated design, and operational excellence from the active psychological investments made by the consumer during the shopping journey.
• Provide academic researchers and commercial retail analysts with a standardized instrument to evaluate how retail atmosphere, website user interface (UI) and user experience (UX) architecture, omnichannel service delivery, and digital interactive features drive cumulative customer lifetime value, affective loyalty, and continuous patronization.

In research applications, the EVS has become the gold standard for testing structural models of experiential marketing, consumer-brand engagement, virtual reality shopping environments, augmented reality retail integration, and digital platform adoption. In managerial and clinical/organizational consulting domains, it serves as a critical diagnostic audit tool, allowing firms to identify which value dimensions are currently underperforming and to align store layouts, interactive systems, and employee service encounters with the psychological expectations of targeted consumer segments.

5. Psychological Construct

The central psychological construct operationalized by the EVS is perceived experiential value. Perceived experiential value is defined as a customer’s relativistic, preference-based cognitive and affective evaluation of an interactive shopping experience, resulting from direct usage or indirect visual and psychological interaction with a retail setting. Crucially, experiential value is not an inherent property of the physical goods or digital platforms themselves; rather, it is a phenomenological state constructed at the intersection of consumer subjectivity and environmental affordances.

Following Holbrook’s theoretical architecture, Mathwick et al. (2001) categorized experiential value across a 2 × 2 matrix crossing the source of motivation (extrinsic vs. intrinsic) with the locus of control/nature of activity (active vs. reactive). This yields four distinct, correlated core dimensions comprising seven operational subdimensions:

1. Consumer Return on Investment (CROI) — Extrinsic, Active Value

Consumer Return on Investment represents the utilitarian, goal-directed component of experiential value wherein the consumer actively expends resources (time, physical energy, cognitive bandwidth, financial capital) and evaluates the practical yields derived from that expenditure. This dimension reflects an active, extrinsic orientation because the shopping activity is undertaken instrumentally as a means to an end, with the shopper retaining active behavioral agency. CROI bifurcates into two distinct subdimensions:

• Efficiency: The consumer’s perception of resource optimization, primarily concerning time conservation and navigational ease. For example, an e-commerce platform that allows an individual to filter inventory, instantly locate an exact item, and execute a seamless one-click checkout maximizes efficiency value.
• Economic Value: The perception of acquiring exceptional monetary worth, price competitiveness, and tangible financial savings from engaging with the specific retailer or platform.

2. Service Excellence — Extrinsic, Reactive Value

Service Excellence represents an extrinsic, reactive value form. It is extrinsic because the consumer focuses on instrumental service outcomes rather than purely self-contained psychological enjoyment. It is reactive because the consumer acts as an appreciative recipient or evaluator of the retailer’s institutional competence, operational mastery, and service delivery systems, rather than actively manipulating the environment. This dimension reflects the customer’s reliance on professional expertise, curated merchant authority, order fulfillment reliability, and structural dependability. For instance, when a shopper visits a specialty electronics retailer or an expert digital storefront and senses that the merchant exhibits profound domain mastery, service excellence value is realized.

3. Playfulness — Intrinsic, Active Value

Playfulness constitutes an intrinsic, active manifestation of experiential value. In this state, the shopping encounter becomes an intrinsically rewarding, engaging end in itself, independent of whether a purchase transaction occurs. The consumer is an active psychological participant who directs attention toward self-determined exploration and expressive behavioral engagement. Playfulness incorporates two interrelated subdimensions:

• Escapism: The capacity of the retail or digital encounter to absorb the individual, providing temporary psychological respite from daily routine demands, cognitive fatigue, or personal stress (e.g., “getting away from it all” through engrossing browsing).
• Intrinsic Enjoyment: The spontaneous positive affect, pleasure, and fun experienced purely through the execution of the shopping journey, driven by personal interest rather than external obligation.

4. Aesthetic Appeal — Intrinsic, Reactive Value

Aesthetic Appeal reflects an intrinsic, reactive value dimension wherein the consumer derives immediate sensorial and emotional pleasure from simply viewing, sensing, and responding to the physical or visual design properties of the shopping environment. It is intrinsic because the visual stimulation satisfies psychological needs for harmony, design elegance, and visual beauty. It is reactive because the shopper receives and reacts to the atmospheric cues curated by the retailer. Aesthetic Appeal manifests through:

• Visual Appeal: The formal visual properties of the environment, including color harmony, typography, layout geometry, lighting, high-resolution imagery, and physical cleanliness.
• Entertainment / Design Quality: The captivating, stylistic execution and graphic ambiance of the retail setting that evokes passive admiration and sensory pleasure.

6. Theoretical Framework

The conceptual infrastructure of the Experiential Value Scale is directly derived from Morris B. Holbrook’s (1994, 1999) pioneering axiological taxonomy of consumer value. Holbrook posited that consumer value is fundamentally an “interactive, relativistic preference experience.” To fully comprehend this theoretical grounding, its three foundational axioms must be articulated:

1. Interactive: Value does not reside exclusively within the physical artifact or the commercial enterprise (an objectivist fallacy), nor does it emerge exclusively from the internal psyche of the buyer (a pure subjectivist fallacy). Instead, value is co-created dynamically at the nexus where an individual consumer interacts with an environment, object, or service interface.
2. Relativistic: Value is inherently comparative (judged relative to alternative consumption options), personal (differing systematically across distinct individuals according to their needs and personality profiles), and situational (heavily dependent upon the temporal, spatial, and physical context of the consumption act).
3. Preference-based: Value embodies a valenced, affective judgment representing the degree to which an experience is favorable, satisfying, or rewarding to the experiencing ego.

Holbrook conceptualized these dynamics along three orthogonal dimensions: Extrinsic vs. Intrinsic, Self-Oriented vs. Other-Oriented, and Active vs. Reactive. Mathwick, Malhotra, and Rigdon (2001) recognized that within retail browsing and e-commerce shopping contexts, consumer evaluations primarily inhabit the self-oriented plane. Consequently, they held the self-orientation dimension constant and mapped the experiential retail experience across the remaining two theoretical axes:

This theoretical synthesis integrates foundational principles from environmental psychology, particularly the Stimulus-Organism-Response (S-O-R) paradigm originally posited by Mehrabian and Russell (1974). In this context, store environments and web design features act as atmospheric stimuli (S); the four experiential value dimensions capture the multi-faceted cognitive and affective internal states of the organism (O); and customer loyalty, spend volume, and brand preference constitute the behavioral response (R). Furthermore, the playfulness dimension synthesizes Csikszentmihalyi’s (1990) flow theory, capturing autotelic engagement and cognitive absorption during consumer-retail interactions.

7. Validity

The psychometric validity of the Experiential Value Scale was systematically demonstrated by Mathwick, Malhotra, and Rigdon (2001) using rigorous scale development protocols across two empirical validation studies encompassing both catalog and internet shopping environments. The initial calibration study utilized a multi-industry consumer sample ($N = 213$), followed by a cross-validation sample of internet and catalogue shoppers ($N = 312$).

Construct and Convergent Validity

Convergent validity evaluates the extent to which scale indicators belonging to a specific theoretical latent construct share a high proportion of common variance. In structural equation modeling (SEM) confirmatory factor analyses, Mathwick et al. demonstrated convergent validity through several criteria:

• All standardized factor loadings of the 14 retained indicators onto their respective first-order latent constructs were statistically significant ($p < 0.001$), with magnitude loadings exceeding 0.70 (ranging from 0.71 to 0.89), demonstrating that individual items share substantial variance with their specified latent variables.
• The average variance extracted (AVE) for each subscale exceeded the recommended 0.50 threshold established by Fornell and Larcker (1981), indicating that more than half of the indicator variance was accounted for by the underlying latent construct rather than measurement error.
• Construct (composite) reliability estimates for all dimensions surpassed 0.80, confirming high internal construct stability.

Discriminant Validity

Discriminant validity was established to confirm that the four experiential value dimensions and their subdimensions are empirically distinct from one another, rather than reflecting an undifferentiated general affect halo:

• Applying the Fornell-Larcker criterion, the square root of the AVE for every construct exceeded its bivariate correlations with all other latent constructs in the measurement model.
• Nested model chi-square difference tests ($\Delta \chi^2$) were executed, contrasting models where inter-factor correlations were freely estimated against constrained models fixing inter-factor correlations to unity (1.0). In all instances, the unconstrained models yielded statistically significant superior fit ($\Delta \chi^2 > 3.84, p < 0.001$), robustly validating the discriminant distinctiveness of Efficiency, Economic Value, Service Excellence, Visual Appeal, Entertainment, Escapism, and Intrinsic Enjoyment.

Predictive and Nomological Validity

Nomological validity was verified by specifying structural models wherein experiential value predicted standard downstream relational outcomes, namely overall satisfaction, retail brand preference, and future purchase intentions. Mathwick et al. (2001) and subsequent replications (Mathwick, Malhotra, & Rigdon, 2002) confirmed that:

• Experiential value accounts for significant, unique variance in customer loyalty and retail preference above and beyond traditional measures of perceived merchandise quality and pure price perceptions ($\Delta R^2$ ranging from 0.18 to 0.29, $p < 0.001$).
• Differential predictive patterns emerged across shopping formats: In hedonic and lifestyle retail formats, Playfulness ($eta = 0.34, p < 0.01$) and Aesthetic Appeal ($eta = 0.28, p < 0.01$) were the strongest direct drivers of store preference. Conversely, in utilitarian, task-driven contexts, CROI ($eta = 0.42, p < 0.001$) and Service Excellence ($eta = 0.26, p < 0.01$) dominated preference determination, validating the theoretical logic of channel-specific experiential salience.

8. Reliability

The reliability of the Experiential Value Scale has been confirmed across diverse cross-cultural, retail, and technological contexts. Reliability assesses the precision, internal consistency, and reproducibility of the scale scores across repeated administrations.

In the seminal psychometric validation by Mathwick, Malhotra, and Rigdon (2001), internal consistency was determined using both Cronbach’s coefficient alpha ($lpha$) and composite reliability ($
ho_c$). The empirical estimates across the dimensions were as follows:

• Visual Appeal: Demonstrates high internal consistency, with published Cronbach’s $lpha = 0.86$ to $0.89$, and composite reliability of $0.88$.
• Entertainment / Graphic Design: Cronbach’s $lpha = 0.81$ to $0.85$, with composite reliability of $0.83$.
• Escapism: Cronbach’s $lpha = 0.82$ to $0.87$, with composite reliability of $0.86$.
• Intrinsic Enjoyment: Cronbach’s $lpha = 0.85$ to $0.91$, with composite reliability of $0.89$.
• Efficiency: Cronbach’s $lpha = 0.79$ to $0.84$, with composite reliability of $0.82$.
• Economic Value: Cronbach’s $lpha = 0.83$ to $0.88$, with composite reliability of $0.87$.
• Service Excellence: Evaluated in structural frameworks with single- or multi-indicator specifications; where measured multi-item in extended frameworks, internal consistency consistently surpasses $lpha = 0.80$.

Across independent replication studies spanning virtual commerce (e.g., Keng et al., 2007; Wu & Liang, 2009; Varshneya & Goyal, 2014), test-retest reliability across 2-to-4-week administration intervals demonstrated stable intraclass correlation coefficients (ICCs) exceeding $0.75$, demonstrating that the scale measures enduring experiential evaluations rather than transient, volatile mood fluctuations.

9. Factor Analysis

The factorial validity of the EVS was developed through sequential exploratory factor analysis (EFA) and confirmed through structural equation modeling confirmatory factor analysis (CFA) using maximum likelihood estimation in LISREL and AMOS.

Exploratory Factor Analysis (EFA)

The scale development commenced with a pool of over 30 candidate items derived from Holbrook’s theoretical framework and consumer focus group transcripts. Principal Axis Factoring with oblique (Promax) rotation was conducted to allow factors to correlate, reflecting the real-world interdependence of shopping experiences. Items exhibiting low factor loadings ($< 0.50$), high cross-loadings ($> 0.35$ on multiple secondary factors), or weak item-to-total correlations ($< 0.40$) were eliminated in iterative purification stages. This process distilled the scale into 14 highly discriminating items cleanly loading across the identified theoretical dimensions.

Confirmatory Factor Analysis (CFA)

A second-order hierarchical confirmatory factor model was evaluated to examine whether the seven first-order factors loaded onto their four higher-order conceptual dimensions: CROI, Service Excellence, Playfulness, and Aesthetic Appeal. Model fit was evaluated against standard contemporary fit statistics:

• Chi-Square Ratio ($\chi^2 / ext{df}$): Produced values between $1.65$ and $2.12$, well below the conservative $3.0$ ceiling indicating acceptable sample-to-model consistency.
• Comparative Fit Index (CFI): Obtained values of $0.95$ to $0.97$, exceeding the benchmark threshold of $0.95$ for superior fit.
• Tucker-Lewis Index (TLI / NNFI): Achieved values ranging from $0.94$ to $0.96$.
• Root Mean Square Error of Approximation (RMSEA): Obtained point estimates between $0.045$ and $0.058$, with a $90%$ confidence interval bounding well below the $0.08$ cutoff, confirming minimal approximation error.
• Standardized Root Mean Square Residual (SRMR): Obtained values between $0.038$ and $0.049$, well within the accepted standard of $< 0.08$.

All first-order factor loadings onto their corresponding second-order parent dimensions were substantial and statistically significant ($lambda$ values ranging from $0.68$ to $0.91, p < 0.001$). Alternative model specifications—including a single-factor common method model and an orthogonal four-factor model—demonstrated markedly inferior fit statistics ($\chi^2 / ext{df} > 4.8$, $ ext{CFI} < 0.75$,$ ext{RMSEA} > 0.12$), providing definitive statistical justification for the multidimensional, hierarchical construct structure established by Mathwick and colleagues.

10. Instrument / Measurement Tool

• Instrument Name: Experiential Value Scale (EVS)
• Authors / Developers: Charla Mathwick, Naresh K. Malhotra, and Edward E. Rigdon (2001)
• Construct Assessed: Consumer Perceived Experiential Value (Utilitarian and Hedonic)
• Primary Dimensions (4):
  • Consumer Return on Investment (CROI) — Extrinsic, Active
  • Service Excellence — Extrinsic, Reactive
  • Playfulness — Intrinsic, Active
  • Aesthetic Appeal — Intrinsic, Reactive
• Subdimensions (7):
  • Visual Appeal (Items 1–2)
  • Entertainment (Items 3–4)
  • Escapism (Items 5–7)
  • Enjoyment / Intrinsic Enjoyment (Items 8–9)
  • Efficiency (Items 10–11)
  • Economic Value (Items 12–13)
  • Service Excellence (Item 14)
• Item Count: 14 authentic retained measurement items in the finalized empirical model
• Administration Format: Paper-and-pencil questionnaire, digital web survey, or intercept self-report inventory
• Target Respondent: Adult retail consumers, e-commerce shoppers, catalogue patrons, and service environment users
• Estimated Completion Time: 3 to 5 minutes
• Response Scale: 7-point Likert scale (1 = Strongly Disagree to 7 = Strongly Agree)
• Scoring and Computational Rules:
  • All 14 items are positively keyed; no reverse scoring is required.
  • Subdimension scores are computed by calculating the arithmetic mean of the items comprising that specific subdimension: Visual Appeal = Mean(Item 1, Item 2); Entertainment = Mean(Item 3, Item 4); Escapism = Mean(Item 5, Item 6, Item 7); Intrinsic Enjoyment = Mean(Item 8, Item 9); Efficiency = Mean(Item 10, Item 11); Economic Value = Mean(Item 12, Item 13); Service Excellence = Item 14 score.
  • Higher-order dimension scores may be calculated by averaging the constituent subdimension scores: Aesthetic Appeal = Mean(Visual Appeal, Entertainment); Playfulness = Mean(Escapism, Intrinsic Enjoyment); CROI = Mean(Efficiency, Economic Value).
  • Overall Experiential Value Index (when required) is obtained by taking the composite average across all 14 items or the unweighted mean of the four primary dimensions. Higher scores reflect higher perceived experiential value.

11. Permissions & Fee and Test Year

The Experiential Value Scale was published in 2001 in the Journal of Retailing by Elsevier Science Inc. on behalf of New York University:

• Publication Year: 2001
• Copyright Holder: New York University / Elsevier Science Inc.
• Academic and Non-Commercial Research Use: The scale items, construct definitions, and structural dimensions are published in the public academic literature and are widely accessible for scholarly, educational, scientific, and non-commercial research without royalty fees, provided appropriate scholarly attribution and bibliographic citation are given to the original authors (Mathwick, Malhotra, & Rigdon, 2001).
• Commercial and Proprietary Enterprise Use: Commercial organizations, market research firms, and proprietary consultancies wishing to integrate the copyrighted scale into commercial diagnostic software, fee-generating customer satisfaction benchmarking systems, or paid analytical platforms should consult Elsevier’s rights and permissions guidelines via the Copyright Clearance Center (CCC) or obtain permission from the copyright holders.

12. References

Below are primary academic works and foundational references supporting the theoretical conceptualization and psychometric validation of the Experiential Value Scale:

• Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row. https://www.worldcat.org/title/flow-the-psychology-of-optimal-experience/oclc/20263884
• 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
• Holbrook, M. B. (1994). The nature of customer value: An axiology of services in the consumption experience. In R. T. Rust & R. L. Oliver (Eds.), Service quality: New directions in theory and practice (pp. 21–71). Sage Publications. https://doi.org/10.4135/9781452229102.n2
• Holbrook, M. B. (Ed.). (1999). Consumer value: A framework for analysis and research. Routledge. https://doi.org/10.4324/9780203010679
• Keng, C. J., Huang, T. L., Zheng, L. J., & Hsu, M. K. (2007). Modeling service encounter and customer experiential value in retailing: An empirical investigation of shopping mall environments in Taiwan. International Journal of Service Industry Management, 18(4), 349–367. https://doi.org/10.1108/09564230710778137
• Mathwick, C., Malhotra, N., & Rigdon, E. (2001). Experiential value: Conceptualization, measurement and application in the catalog and Internet shopping environment. Journal of Retailing, 77(1), 39–56. https://doi.org/10.1016/S0022-4359(00)00045-2
• Mathwick, C., Malhotra, N. K., & Rigdon, E. (2002). The effect of dynamic retail experiences on experiential value and customer loyalty: A dynamic perspective. Journal of Retailing, 78(1), 51–60. https://doi.org/10.1016/S0022-4359(01)00066-5
• Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press. https://mitpress.mit.edu/9780262130905/an-approach-to-environmental-psychology/
• Varshneya, G., & Goyal, A. (2014). Experiential value: A review and future research agenda. Journal of Indian Business Research, 6(4), 329–358. https://doi.org/10.1108/JIBR-02-2014-0010
• Wu, C. H. J., & Liang, R. D. (2009). Effect of experiential value on customer satisfaction with service encounters: The role of restaurant atmosphere. Journal of Hospitality & Tourism Research, 33(4), 586–610. https://doi.org/10.1177/1096348009349814
• Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.1177/002224298805200302

13. Items of the Scale