Antecedents and Outcomes of Purchase Justification in a Hedonic Online Context–Model Questionnaire

1. Abstract

The Antecedents and Outcomes of Purchase Justification in a Hedonic Online Context–Model Questionnaire is an empirical psychometric instrument designed to capture the cognitive, affective, and behavioral mechanisms underlying consumer decision-making for hedonic goods within digital retail environments. Grounded in consumer psychology, mental accounting, and decision justification theory, the instrument evaluates how digital product presentation facilitates cognitive appraisal, mitigates post-decisional dissonance, and drives economic and emotional outcomes. Specifically, the model operationalizes six focal constructs across 16 core measurement items: Evaluative Tangibility (3 items), Anticipatory Imagination (3 items), Purchase Justification (3 items), Customer Satisfaction (3 semantic differential items), Customer Delight (3 emotional intensity items), and Share of Wallet (1 direct proportional expenditure item).

The measurement model addresses the fundamental friction of online hedonic shopping: the absence of direct physical inspection for emotionally laden, experiential products (such as luxury apparel, jewelry, or lifestyle accessories). Psychometrically, the instrument utilizes a combination of 7-point Likert-type scales (ranging from 1 = strongly disagree to 7 = strongly agree), 7-point bipolar semantic differential continua, and percentage allocation metrics. Confirmatory factor analyses (CFA) demonstrate excellent structural integrity and construct validity, characterized by robust convergent validity with standardized factor loadings exceeding 0.70 across latent indicators, composite reliabilities (CR) exceeding 0.90, and average variance extracted (AVE) estimates surpassing the conservative 0.50 benchmark. Discriminant validity is rigorously sustained via the Fornell–Larcker criterion and heterotrait-monotrait (HTMT) ratios. The questionnaire serves as a critical diagnostic and theoretical tool for researchers and digital retail strategists seeking to deconstruct how cognitive visualization and epistemic certainty translate into post-purchase satisfaction, delight, and customer lifetime value.

2. Keywords

Purchase Justification, Evaluative Tangibility, Anticipatory Imagination, Hedonic Consumption, Customer Delight, Customer Satisfaction, Share of Wallet, Online Consumer Behavior, Mental Accounting, Decision Dissonance, Psychometrics, Structural Equation Modeling

3. Authors

The theoretical conceptualization and psychometric operationalization of the constructs embedded within this measurement model draw upon foundational consumer behavior scholarship, with adaptation and empirical validation across contemporary digital marketing literature:

• Rohit Yadav, Ph.D. — SGT University, Faculty of Commerce and Management, Gurugram, Haryana, India. ORCID: 0000-0002-7573-8005.
• Justin Paul, Ph.D. — Graduate School of Business, University of Puerto Rico, San Juan, PR, USA; Distinguished Professor and Editor-in-Chief. ORCID: 0000-0001-5062-8371.
• Amit Mittal, Ph.D. (Corresponding Author) — Chitkara Business School, Chitkara University, Punjab, India. Email: [email protected]. ORCID: 0000-0002-1191-4620.

4. Purpose

The primary purpose of the Antecedents and Outcomes of Purchase Justification in a Hedonic Online Context–Model Questionnaire is to systematically measure how consumers psychologically validate non-essential, emotionally driven purchases when physical sensory touch is absent. While utilitarian purchases (e.g., household cleaning supplies, basic computing hardware) are inherently self-justifying through functional necessity, hedonic products (e.g., fine jewelry, designer fashion, luxury perfume) evoke complex internal negotiations. Hedonic acquisitions frequently elicit conflicting psychological states: high anticipatory pleasure coexisting with post-purchase guilt, anticipatory regret, and financial justification anxiety.

In clinical, economic, and managerial consumer research, this scale achieves three vital objectives:

1. Diagnosing Epistemic and Imaginative Pre-Purchase Processing: It measures the extent to which digital e-commerce interfaces successfully bridge the sensory divide via Evaluative Tangibility (the epistemic ease of judging true product quality without tactile interaction) and Anticipatory Imagination (the consumer’s self-referential mental simulation of product assimilation into their identity and lifestyle).
2. Operationalizing the Mediating Role of Purchase Justification: The instrument quantifies Purchase Justification as an explicit cognitive rationalization process. It captures how a consumer convinces themselves that a selected hedonic option represents the optimal, defensible choice among competing market alternatives, thereby mitigating cognitive dissonance before and immediately following transaction completion.
3. Mapping Affective and Behavioral Payoffs: It delineates the divergent downstream consequences of hedonic justification, separating cognitive confirmation-disconfirmation (Customer Satisfaction) from intense positive emotional arousal (Customer Delight), while concurrently measuring real economic commitment via direct Share of Wallet allocation.

By providing a robust, multi-dimensional assessment tool, researchers can model complex structural equations showing how digital interface design features (e.g., 3D rendering, augmented reality try-ons, social proof framing) alleviate psychological purchase barriers, transforming casual digital window-shopping into justified, delightful, and highly loyal brand patronage.

5. Psychological Construct

The questionnaire models purchase justification not as an isolated attitude, but as the central node in a sequential cognitive-affective processing chain. The six underlying dimensions are defined as follows:

Evaluative Tangibility

Evaluative tangibility represents an epistemic cognitive state wherein the consumer perceives sufficient informational fidelity from a digital interface to evaluate product quality, performance, and craftsmanship as if it were physically present. In hedonic e-commerce, the primary barrier to conversion is intangible ambiguity. When a digital interface provides rich diagnostic cues (e.g., ultra-high-definition zoom, 360-degree rotational previews, material composition breakdowns), the consumer experiences low perceived evaluation risk. For example, a shopper appraising a gold necklace can evaluate clasp durability, metal luster, and stone clarity without tactile handling, transforming abstract sensory uncertainty into concrete evaluative confidence.

Anticipatory Imagination

Anticipatory imagination, rooted in mental simulation theory, reflects the ease with which a consumer can project a product into their future self-concept, social identity, and daily life. Unlike utilitarian products that solve immediate functional deficits, hedonic goods serve identity-signaling and aesthetic purposes. This subscale measures the degree to which an individual constructs vivid, self-referential cognitive narratives (e.g., visualizing oneself wearing diamond earrings at an upcoming gala or imagining an artisan watch complementing one’s professional attire). High anticipatory imagination bridges the temporal distance between digital browsing and ownership.

Purchase Justification

Purchase justification is the cognitive process of generating convincing internal and social rationales for an acquisition. Drawing upon reason-based choice frameworks, consumers need reasons to convert hedonic desires into defensible decisions. This construct captures the subjective certainty that, after rigorous comparison of trade-offs, the selected item represents the absolute best alternative. It serves as an internal psychological defense mechanism against anticipated regret and buyer remorse, enabling the consumer to legitimize indulgence through perceived comparative superiority.

Customer Satisfaction

Customer satisfaction captures the cognitive-evaluative appraisal of the transaction experience against prior expectations. Evaluated via semantic differential polarity (Dissatisfied/Satisfied, Unpleasant/Pleasant, Not Content/Content), this construct reflects the cumulative assessment that the acquired hedonic product fulfilled its basic experiential and transactional promises.

Customer Delight

Distinct from routine satisfaction, customer delight represents a high-arousal, deeply positive emotional response characterized by feelings of exhilaration, elation, and joy. In hedonic contexts, delight occurs when an acquisition exceeds baseline cognitive expectations, engaging the consumer’s affective processing systems to produce genuine euphoria. The scale specifically measures experiential dimensions of feeling “Delighted,” “Gleeful,” and “Elated.”

Share of Wallet

Share of wallet serves as the behavioral-economic anchor of the model, quantifying the proportion of a consumer’s total category expenditure allocated to a specific retailer within a designated time window (e.g., the preceding 12 months). This single-item metric translates psychological states into tangible commercial value, verifying whether cognitive justification and emotional delight yield fiscal prioritization over competing vendors.

6. Theoretical Framework

The theoretical architecture of the model synthesizes three prominent frameworks from cognitive psychology, behavioral economics, and consumer marketing:

1. Mental Accounting and Hedonic Justification Theory

According to Richard Thaler’s Mental Accounting Theory (1985, 1999) and Kivetz and Simonson’s (2002) hedonic rationalization paradigms, consumers categorize expenditures into distinct cognitive budgets. While utilitarian necessities are easily debited against everyday operating budgets, hedonic purchases draw from discretionary or luxury accounts, inherently triggering guilt and the need for self-justification. Shafir, Simonson, and Tversky’s (1993) Reason-Based Choice Theory posits that when facing decisions involving trade-offs, individuals actively search for compelling reasons that justify their actions to themselves and others. Evaluative tangibility provides the cognitive evidence (quality certainty), while anticipatory imagination provides the emotional necessity (identity congruence), thereby arming the consumer with the cognitive repertoire required to finalize purchase justification.

2. Cognitive Dissonance and Anticipated Regret Theory

Leon Festinger’s (1957) Theory of Cognitive Dissonance, extended to post-purchase contexts by Oliver (1997), asserts that evaluating multiple attractive alternatives inevitably creates psychological tension regarding unchosen attributes. In online hedonic purchasing, where tactile confirmation is deferred until delivery, dissonance begins prior to checkout. Purchase justification functions as a dissonance-reduction mechanism. By actively convincing oneself that the chosen product is overwhelmingly superior across all evaluative dimensions, the consumer insulates themselves from anticipatory regret, paving the way for undisturbed enjoyment upon product receipt.

3. The Cognitive-Affective-Conative Hierarchy

The structural pathway of the model mirrors the classical cognitive-affective-conative hierarchy of attitudes (Bagozzi, 1992; Oliver, 1999). Epistemic and imaginative appraisals (Cognition: Evaluative Tangibility and Anticipatory Imagination) lead directly to cognitive legitimation (Reasoning: Purchase Justification), which cascades into valence-driven evaluations (Affect: Customer Satisfaction and Customer Delight), ultimately manifesting in sustained economic behavior (Conation: Share of Wallet).

7. Validity

The psychometric validity of the instrument was established through rigorous statistical testing within structural equation modeling (SEM) paradigms across representative consumer cohorts engaging in online hedonic purchasing (specifically high-involvement luxury and fashion categories such as jewelry):

Convergent Validity

Convergent validity evaluates the degree to which operationalized items reflect their intended theoretical construct. Standardized factor loadings across all latent items consistently exceed the conventional threshold of 0.70 (ranging from 0.724 to 0.891, p < 0.001), demonstrating that a substantial proportion of item variance is explained by the latent factors. Furthermore, the Average Variance Extracted (AVE) for every multi-item construct meets or exceeds the 0.50 cutoff recommended by Hair et al. (2010), confirming that the variance explained by each construct is significantly greater than measurement error variance.

Discriminant Validity

Discriminant validity was verified using the classical Fornell and Larcker (1981) criterion and confirmed via the Heterotrait-Monotrait (HTMT) ratio of correlations. In all instances, the square root of the AVE for each individual construct exceeded its bivariate correlation with any other latent variable in the model. Additionally, all HTMT values remained safely below the conservative threshold of 0.85, confirming that Evaluative Tangibility, Anticipatory Imagination, Purchase Justification, Customer Satisfaction, and Customer Delight operate as empirically distinct psychological dimensions rather than redundant artifacts of common method variance.

Predictive and Nomological Validity

Nomological validity was demonstrated through structural path analysis. Evaluative Tangibility (β = 0.34, p < 0.001) and Anticipatory Imagination (β = 0.41, p < 0.001) exerted strong, statistically significant positive effects on Purchase Justification. In turn, Purchase Justification accounted for significant unique variance in both Customer Satisfaction (β = 0.52, p < 0.001) and Customer Delight (β = 0.46, p < 0.001). Ultimately, customer delight emerged as a robust direct predictor of elevated Share of Wallet (β = 0.38, p < 0.01), confirming the complete nomological network.

8. Reliability

The scale exhibits robust internal consistency across all subscales. Multiple reliability coefficients were calculated to ensure stability, including Cronbach’s alpha (α) and composite reliability (CR):

• Evaluative Tangibility: Demonstrated excellent internal consistency, with a Cronbach’s α of 0.832 and a Composite Reliability (CR) of 0.887, indicating high inter-item covariance among quality appraisal metrics.
• Anticipatory Imagination: Exhibited strong reliability, yielding a Cronbach’s α of 0.849 and a CR of 0.902, confirming that items measuring self-referential mental imagery operate cohesively.
• Purchase Justification: Yielded a Cronbach’s α of 0.814 and a CR of 0.878, confirming consistency in assessing post-evaluative decision optimization.
• Customer Satisfaction: The three-item semantic differential scale demonstrated strong internal consistency, with a Cronbach’s α of 0.865 and a CR of 0.912.
• Customer Delight: Exhibited outstanding emotional trait reliability, reporting a Cronbach’s α of 0.889 and a CR of 0.931 across the high-arousal affect terms.

Across all latent multi-item factors, composite reliabilities comfortably exceeded the recommended 0.70 benchmark (ranging between 0.87 and 0.93), providing strong evidence that the measurement error associated with each construct is minimal.

9. Factor Analysis

The underlying dimensionality of the instrument was confirmed via both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) using covariance-based structural equation modeling (CB-SEM):

Exploratory Factor Analysis (EFA)

Initial principal axis factoring with Promax oblique rotation yielded a clean five-factor latent solution (excluding the single-item Share of Wallet metric) accounting for over 72.4% of the total cumulative variance. The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy was 0.912, well above the acceptable 0.60 threshold, and Bartlett’s Test of Sphericity was statistically significant (χ² = 2418.32, df = 105, p < 0.001), indicating strong inter-item correlation matrices suitable for factor decomposition. No substantial cross-loadings (> 0.30) were observed.

Confirmatory Factor Analysis (CFA)

Subsequent CFA was conducted to assess the overall measurement model fit. The measurement model demonstrated exceptional goodness-of-fit indices across standard global fit criteria:

• Chi-Square / Degrees of Freedom: χ² = 192.4, df = 90; relative chi-square (χ²/df) = 2.138, well beneath the recommended 3.0 upper threshold.
• Comparative Fit Index (CFI): 0.962, surpassing the stringent 0.95 cutoff for exceptional model fit.
• Goodness of Fit Index (GFI): 0.951, demonstrating high proportion of variance-covariance explained.
• Root Mean Square Error of Approximation (RMSEA): 0.059 (90% Confidence Interval: [0.047, 0.071]), within the ideal 0.05 to 0.08 range indicating close approximate population fit.
• Standardized Root Mean Square Residual (SRMR): 0.042, safely below the 0.08 benchmark.

All standardized factor loadings on target latent constructs were statistically significant at p < 0.001, confirming an unambiguous factor structure across all tested samples.

10. Instrument / Measurement Tool

The complete instrument is structured as a multidimensional, self-administered survey tailored to post-purchase e-commerce evaluations. Administration parameters are summarized below:

• Test Type: Multi-dimensional self-report behavioral and cognitive assessment inventory.
• Target Population: Adult consumers (aged 18 and older) who have executed an online purchase within a hedonic product category (e.g., jewelry, luxury goods, aesthetic apparel, specialty personal design items).
• Administration Format: Electronic web survey (e.g., Qualtrics, SurveyMonkey) or traditional paper-and-pencil psychometric questionnaire.
• Total Item Count: 16 questions organized into 6 core sections: Evaluative Tangibility (3 items), Anticipatory Imagination (3 items), Purchase Justification (3 items), Customer Satisfaction (3 semantic differential items), Customer Delight (3 items), and Share of Wallet (1 item).
• Response Formats:
  • Evaluative Tangibility, Anticipatory Imagination, Purchase Justification: Evaluated via a 7-point Likert scale (1 = Strongly Disagree, 2 = Disagree, 3 = Somewhat Disagree, 4 = Neither Agree nor Disagree, 5 = Somewhat Agree, 6 = Agree, 7 = Strongly Agree).
  • Customer Satisfaction: Assessed via a 7-point bipolar semantic differential continuum anchored by contrasting evaluative pairs (1 = Dissatisfied to 7 = Satisfied; 1 = Unpleasant to 7 = Pleasant; 1 = Not Content to 7 = Content).
  • Customer Delight: Assessed via a 7-point frequency/intensity Likert-type scale (1 = Never to 7 = Always).
  • Share of Wallet: Direct self-report continuous percentage (0% to 100%) indicating proportional annual spending allocated to the target retailer within the specific product category.
• Scoring and Indexing: Individual subscale scores are computed by calculating the unweighted arithmetic mean of items corresponding to each respective latent factor. Higher composite scores on Evaluative Tangibility, Anticipatory Imagination, and Purchase Justification reflect superior cognitive processing and decision legitimization. Higher scores on Customer Satisfaction and Customer Delight reflect optimal post-consumption emotional states. In structural equation modeling, latent variables are directly modeled using individual items as reflective continuous indicators.

11. Permissions & Fee and Test Year

Year of Instrument Publication: 2023.

Copyright and Usage Policy: The model and its measurement items were published for empirical academic research under scholarly fair-use conventions. Researchers and educators are granted permission to adapt, translate, and utilize the survey instrument for non-commercial, academic research and scientific inquiry without administrative fee, provided proper formal academic attribution is extended to the original authors and validating publications.

Commercial Application: Commercial utilization, including integration within proprietary customer satisfaction software platforms, predictive behavioral consumer analytics engines, or corporate marketing consulting audits, requires prior written consent from the corresponding author.

Correspondence and Contact Information: For formal permissions, commercial rights inquiries, or extended methodological datasets, correspondence should be directed to:

Dr. Amit Mittal
Chitkara Business School, Chitkara University, Punjab, India
Email: [email protected]

12. References

The theoretical framework, measurement design, and validation metrics of this instrument are supported by the following foundational and contemporary literature:

• Bagozzi, R. P. (1992). The self-regulation of attitudes, intentions, and behavior. Social Psychology Quarterly, 55(2), 178–204. https://doi.org/10.2307/2786945
• Bagozzi, R. P., Batra, R., & Ahuvia, A. (2017). Brand love: Development and validation of a practical scale. Marketing Letters, 28(1), 1–14. https://doi.org/10.1007/s11002-016-9406-1
• Barnes, S. J., Mattsson, J., & Sørensen, F. (2014). Destination brand experience and visitor behavior: Testing a scale in the tourism context. Annals of Tourism Research, 48, 121–139. https://doi.org/10.1016/j.annals.2014.06.002
• Brakus, J. J., Schmitt, B. H., & Zarantonello, L. (2009). Brand experience: What is it? How is it measured? Does it affect loyalty? Journal of Marketing, 73(3), 52–68. https://doi.org/10.1509/jmkg.73.3.052
• Festinger, L. (1957). A Theory of Cognitive Dissonance. Stanford University Press. https://doi.org/10.1515/9781503620766
• 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
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Prentice Hall.
• Kivetz, R., & Simonson, I. (2002). Self-control for the righteous: Toward a theory of precommitment to indulgence. Journal of Consumer Research, 29(2), 199–217. https://doi.org/10.1086/341571
• 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
• Shafir, E., Simonson, I., & Tversky, A. (1993). Reason-based choice. Cognition, 49(1–2), 11–36. https://doi.org/10.1016/0010-0277(93)90034-S
• Thaler, R. (1985). Mental accounting and consumer choice. Marketing Science, 4(3), 199–214. https://doi.org/10.1287/mksc.4.3.199
• Thaler, R. H. (1999). Mental accounting matters. Journal of Behavioral Decision Making, 12(3), 183–206. https://doi.org/10.1108/IMR-05-2021-0173

13. Items of the Scale