{"id":8637,"date":"2026-09-28T08:27:03","date_gmt":"2026-09-28T08:27:03","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/luxury-shopper-webrooming-intention-scale\/"},"modified":"2026-09-28T08:27:03","modified_gmt":"2026-09-28T08:27:03","slug":"luxury-shopper-webrooming-intention-scale","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=luxury-shopper-webrooming-intention-scale","title":{"rendered":"Luxury Shopper Webrooming Intention Scale"},"content":{"rendered":"<h2>Abstract<\/h2>\n<p>The <strong>Luxury Shopper Webrooming Intention Scale<\/strong> (LSWIS) is a specialized psychometric assessment instrument developed by <a href=\"https:\/\/dx.doi.org\/10.1002\/cb.2295\" target=\"_blank\" rel=\"noopener noreferrer\">Akram and Lavuri (2024)<\/a> to evaluate cross-channel consumer decision-making within luxury retail environments. Webrooming\u2014the shopping phenomenon wherein consumers research products online prior to executing the final transaction at a brick-and-mortar store\u2014exhibits distinct motivational underpinnings in prestige markets. Unlike standard fast-moving consumer goods or commodity electronics, luxury purchases involve elevated financial exposure, profound sensory expectations, brand heritage, and interpersonal service demands. The LSWIS operationalizes this complex consumer journey through a 22-item self-report questionnaire spanning seven empirically validated dimensions: <em>Need for Touch<\/em> (3 items), <em>Need for Interaction<\/em> (4 items), <em>Perceived Ease of Use for Online Search<\/em> (3 items), <em>Perceived Usefulness of Online Search<\/em> (3 items), <em>Hedonic Value<\/em> (3 items), <em>Utilitarian Value<\/em> (3 items), and <em>Webrooming Intention<\/em> (3 items).<\/p>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">Administered via a standard 5-point <a href=\"https:\/\/en.wikipedia.org\/wiki\/Likert_scale\" target=\"_blank\" rel=\"noopener noreferrer\">Likert scale<\/a> ranging from 1 (&#8220;Strongly Disagree&#8221;) to 5 (&#8220;Strongly Agree&#8221;), the instrument exhibits robust psychometric properties. Rigorous testing using covariance-based and partial least squares structural equation modeling (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Structural_equation_modeling\" target=\"_blank\" rel=\"noopener noreferrer\">SEM<\/a>) confirms high internal consistency reliability, with all construct Cronbach&#8217;s alpha and composite reliability coefficients exceeding established psychometric benchmarks (&alpha; &gt; .80; CR &gt; .80). Confirmatory factor analyses demonstrate that the seven-factor oblique model possesses superior construct validity, with average variance extracted values surpassing .50 and heterotrait-monotrait (HTMT) ratios well below the conservative .85 threshold. The scale bridges sensory psychology, digital human-computer interaction, and luxury marketing, providing retail psychologists and marketing scientists with an empirical framework to quantify why consumers transition from digital touchpoints to physical flagship ateliers<\/span>.<\/p>\n<h2>Keywords<\/h2>\n<p>Webrooming intention, luxury shopping, omnichannel retailing, need for touch, interpersonal interaction, technology acceptance model, consumer behavior, perceived usefulness, psychometrics, retail psychology, hedonic shopping value, utilitarian shopping value<\/p>\n<h2>Authors<\/h2>\n<p>The Luxury Shopper Webrooming Intention Scale was established and psychometrically validated by:<\/p>\n<ul>\n<li><strong>Umair Akram, Ph.D.<\/strong> \u2014 School of Management, Jiangsu University, Zhenjiang, People&#8217;s Republic of China; specialized in digital consumer behavior, omnichannel retail analytics, e-commerce psychology, and luxury market dynamics. Correspondence: <a href=\"mailto:umairakram@ujs.edu.cn\">umairakram@ujs.edu.cn<\/a>.<\/li>\n<li><strong>Rambabu Lavuri, Ph.D.<\/strong> \u2014 Department of Business Management, Osmania University, Hyderabad, Telangana, India; expert in consumer decision models, retail transformation, sustainable marketing, and behavioral psychometrics.<\/li>\n<\/ul>\n<h2>Purpose<\/h2>\n<p>The fundamental purpose of the Luxury Shopper Webrooming Intention Scale is to identify, isolate, and measure the behavioral, sensory, and technological determinants driving modern omnichannel luxury shoppers to conduct extensive pre-purchase exploration in digital spaces while deliberately executing their final monetary transactions in physical brick-and-mortar boutiques. For decades, consumer behavior literature focused heavily on the reverse phenomenon known as &#8220;showrooming&#8221;\u2014inspecting goods physically in physical stores before purchasing them online at discounted rates. However, modern luxury retail patterns reflect an inverse trajectory. High-net-worth and aspirational shoppers systematically seek product specifications, peer reviews, curated digital catalogs, and brand aesthetics online, yet actively resist checking out via digital shopping carts.<\/p>\n<p>In luxury consumer environments, webrooming serves as a sophisticated psychological risk-mitigation and value-maximization strategy. Luxury goods are defined by steep price tags, experiential consumption, craftsmanship, and social signaling. Consequently, errors in purchase decision-making trigger severe financial, social, and psychological post-purchase dissonance. The LSWIS was designed to fulfill three primary theoretical and applied functions:<\/p>\n<ul>\n<li><strong>Diagnostic Measurement in Retail Strategy:<\/strong> It enables luxury brand strategists and retail psychologists to diagnose why digital conversion rates in high-end categories remain structurally distinct from conventional retail, shifting the analytical focus from mere website bounce rates to cross-channel value facilitation.<\/li>\n<li><strong>Deconstructing Cross-Channel Cognitive Friction:<\/strong> The scale parses the boundary conditions between digital informational utility (e.g., comparative product specifications, influencer reviews) and brick-and-mortar affective utility (e.g., physical haptic appraisal, bespoke sales associate interactions).<\/li>\n<li><strong>Empirical Operationalization for Behavioral Research:<\/strong> It equips empirical researchers with a standardized, psychometrically validated tool to evaluate the moderating effects of consumer-perceived risk, interpersonal trust, product complexity, and social status motivations within structural retail models.<\/li>\n<\/ul>\n<p>By measuring cognitive appraisal of web search efficiency alongside affective sensory requirements, the LSWIS answers critical questions regarding how consumers balance the convenience of digital search with the non-negotiable need for physical authenticity verification and personalized service before committing substantial financial resources.<\/p>\n<h2>Psychological Construct<\/h2>\n<p>The Luxury Shopper Webrooming Intention Scale is conceptualized as an integrated, multi-dimensional psychometric construct comprising seven distinct, intercorrelated theoretical dimensions. Each dimension captures an essential cognitive, affective, or behavioral facet of the luxury shopper&#8217;s cross-channel decision trajectory:<\/p>\n<h3>1. Need for Touch (Autotelic and Instrumental Haptics)<\/h3>\n<p>Rooted in sensory consumer psychology (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Haptic_perception\" target=\"_blank\" rel=\"noopener noreferrer\">Peck &amp; Childers, 2003<\/a>), the <em>Need for Touch<\/em> (NFT) reflects a consumer&#8217;s psychological drive to extract sensory information through physical tactile contact prior to purchasing. In the context of luxury consumption, touch is both instrumental (evaluating leather texture, stitch density, fabric weight, or horological balance) and hedonic (the visceral pleasure of holding an exquisitely engineered object). When prospective luxury buyers cannot physically manipulate a product, their subjective confidence plummets, amplifying perceived purchase risk. The LSWIS captures this tactile imperative through items measuring confidence elevation and purchase reluctance under haptic deprivation.<\/p>\n<h3>2. Need for Interaction (Interpersonal Service Orientation)<\/h3>\n<p>The luxury purchasing journey is distinguished by relational and symbolic exchanges. The <em>Need for Interaction<\/em> quantifies the psychological importance an individual assigns to interpersonal dialogue, white-glove advisory support, and personalized engagement delivered by professional luxury sales personnel. Rather than viewing sales personnel as transactional intermediaries, luxury consumers frequently seek validation, brand storytelling, and bespoke recommendations. Consumers with elevated scores on this dimension derive substantial psychological utility from human attentiveness and deliberately avoid automated, self-service, or depersonalized transactional systems.<\/p>\n<h3>3. Perceived Ease of Use for Online Search<\/h3>\n<p>Originating from human-computer interaction and technological adoption paradigms, this dimension assesses the degree to which an individual believes that identifying, navigating, and evaluating information about luxury items online is free of cognitive effort. It measures subjective cognitive ergonomics, catalog navigational clarity, search fluency, and the relative convenience of digital comparative research over manual physical store scouting.<\/p>\n<h3>4. Perceived Usefulness of Online Search<\/h3>\n<p>This cognitive dimension captures the extent to which consumers perceive online digital content\u2014specifically consumer reviews, technical specification sheets, video demonstrations, and peer endorsements\u2014as instrumental in enhancing their decision efficiency and market intelligence. Elevated perceived usefulness reflects the belief that digital research transforms the individual into a more discerning, empowered, and &#8220;smarter&#8221; luxury consumer, lowering informational asymmetry prior to encountering boutique sales professionals.<\/p>\n<h3>5. Hedonic Shopping Value<\/h3>\n<p>Luxury acquisition is profoundly driven by non-instrumental, affective motivations. <em>Hedonic Shopping Value<\/em> reflects the multisensory, emotional, and escapist rewards experienced during the acquisition process. It measures subjective feelings of delight, emotional gratification, elevation, and genuine entertainment derived from purchasing luxury goods. High hedonic orientations fuel the consumer&#8217;s desire to partake in the full ceremonial theater of the luxury store visit.<\/p>\n<h3>6. Utilitarian Shopping Value<\/h3>\n<p>Contrasting with emotional stimulation, <em>Utilitarian Shopping Value<\/em> addresses functional, rational, and task-oriented evaluations. Within the luxury paradigm, utilitarianism manifests as an uncompromising demand for durability, superior craftsmanship, technical excellence, and long-term functional reliability. Consumers evaluating high-end products through a utilitarian lens demand empirical verification that the item&#8217;s performance, structural integrity, and ergonomic design justify its price premium.<\/p>\n<h3>7. Webrooming Intention<\/h3>\n<p>The focal conative outcome of the scale, <em>Webrooming Intention<\/em> measures a consumer&#8217;s deliberate, conscious plan and calculated behavioral probability to conduct exploratory, comparative, and informational discovery via internet channels while reserving the final monetary checkout for the physical store. It encapsulates a crystallized behavioral preference for hybrid, cross-channel consumption.<\/p>\n<h2>Theoretical Framework<\/h2>\n<p>The conceptual architecture of the Luxury Shopper Webrooming Intention Scale synthesizes three prominent theoretical frameworks from social psychology, consumer research, and information systems: the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Technology_acceptance_model\" target=\"_blank\" rel=\"noopener noreferrer\">Technology Acceptance Model<\/a> (TAM), <a href=\"https:\/\/en.wikipedia.org\/wiki\/Sensory_marketing\" target=\"_blank\" rel=\"noopener noreferrer\">Sensory Marketing Theory<\/a>, and the Dual-Value Consumption Theory (Hedonic vs. Utilitarian Value Paradigms).<\/p>\n<h3>1. The Technology Acceptance Model (TAM) and Online Pre-Search<\/h3>\n<p>Pioneered by <a href=\"https:\/\/en.wikipedia.org\/wiki\/Fred_Davis_(information_systems_researcher)\" target=\"_blank\" rel=\"noopener noreferrer\">Davis (1989)<\/a>, TAM posits that the adoption and sustained usage of an information system are driven primarily by two cognitive assessments: <em>Perceived Usefulness (PU)<\/em> and <em>Perceived Ease of Use (PEOU)<\/em>. In the context of omnichannel retailing, the internet serves not as an isolated transactional platform, but as a vast search and discovery engine. Akram and Lavuri adapted TAM by demonstrating that when luxury shoppers perceive web-based research as effortless (high PEOU) and highly instrumental in clarifying product attributes (high PU), their cognitive motivation to use digital channels during the early exploratory phases surges. However, rather than terminating in digital checkout, the search output feeds directly into an offline execution pathway.<\/p>\n<h3>2. Sensory Marketing and Haptic Information Processing<\/h3>\n<p>Sensory marketing theories (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Aradhna_Krishna\" target=\"_blank\" rel=\"noopener noreferrer\">Krishna, 2012<\/a>; Peck &amp; Childers, 2003) emphasize that bodily sensations profoundly structure consumer judgments. Grounded in the concept of haptic perception, the theory demonstrates that humans process texture, weight, temperature, and material firmness through physical touch. High-involvement, premium-priced goods cannot be fully evaluated through two-dimensional digital screens or virtual interfaces. The absence of sensory confirmation induces cognitive ambiguity and haptic deprivation. Therefore, the necessity for physical verification operates as a non-compensatory hurdle, redirecting the consumer out of the online ecosystem and into the physical boutique.<\/p>\n<h3>3. Dual-Value Consumption Theory (Babin et al., 1994)<\/h3>\n<p>Consumer value theory asserts that every retail interaction yields both utilitarian (rational, task-related, functional) and hedonic (experiential, affective, self-rewarding) outcomes. Luxury consumption represents a unique synthesis of both. On one hand, buyers seek utilitarian assurance that an expensive investment possesses unmatched structural integrity and material durability. On the other hand, they demand the hedonic theater of luxury shopping\u2014the architectural magnificence of the flagship boutique, the social prestige of public brand recognition, and the personalized, ego-affirming interactions with dedicated brand ambassadors. Webrooming harmonizes these values by allowing utilitarian research to be completed efficiently online, while preserving the premium hedonic and sensory rewards for the physical boutique visit.<\/p>\n<h2>Validity<\/h2>\n<p>The psychometric validation of the LSWIS follows rigorous multivariate methodological standards, confirming the instrument&#8217;s structural integrity, conceptual distinction, and predictive power.<\/p>\n<h3>Construct and Convergent Validity<\/h3>\n<p>To evaluate convergent validity, <a href=\"https:\/\/en.wikipedia.org\/wiki\/Confirmatory_factor_analysis\" target=\"_blank\" rel=\"noopener noreferrer\">Confirmatory Factor Analysis (CFA)<\/a> was performed on data gathered from active luxury consumers. Convergent validity requires that items belonging to a specific theoretical construct share a high proportion of common variance. In the validation study by Akram and Lavuri (2024):<\/p>\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">All standardized factor loadings (&lambda;) for the 22 manifest indicators exceeded the conservative threshold of .70 (ranging from .721 to .894), confirming that each item is a statistically significant indicator of its target latent factor (<em>p<\/em> &lt; .001)<\/span>.<\/li>\n<li>The <a href=\"https:\/\/en.wikipedia.org\/wiki\/Average_variance_extracted\" target=\"_blank\" rel=\"noopener noreferrer\">Average Variance Extracted<\/a> (AVE) for every latent construct surpassed the standard benchmark of .50 (ranging from .572 to .718). This demonstrates that more than 50% of the variance observed in the indicators is directly accounted for by the underlying latent construct rather than measurement error.<\/li>\n<\/ul>\n<h3>Discriminant Validity<\/h3>\n<p>Discriminant validity was established via two rigorous empirical metrics:<\/p>\n<ul>\n<li><strong>The Fornell-Larcker Criterion:<\/strong> The square root of the AVE for each latent variable exceeded its highest bivariate correlation with any other construct in the measurement model. For instance, the square root of the AVE for <em>Need for Touch<\/em> was substantially higher than its correlation with <em>Need for Interaction<\/em> or <em>Webrooming Intention<\/em>.<\/li>\n<li><strong>Heterotrait-Monotrait Ratio of Correlations (HTMT):<\/strong> Acknowledged as a superior and more sensitive test of discriminant validity, all computed HTMT values between paired constructs fell well below the stringent .85 cutoff (with maximum observed values below .81), definitively confirming that the seven subscales represent distinct psychological phenomena.<\/li>\n<\/ul>\n<h3>Predictive and Nomological Validity<\/h3>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">Nomological validity was verified through structural equation modeling. The empirical findings demonstrated that <em>Need for Touch<\/em> (&beta; &asymp; .24, <em>p<\/em> &lt; .001), <em>Need for Interaction<\/em> (&beta; &asymp; .21, <em>p<\/em> &lt; .001), <em>Perceived Usefulness of Online Search<\/em> (&beta; &asymp; .28, <em>p<\/em> &lt; .001), and <em>Hedonic\/Utilitarian Values<\/em> directly and significantly predicted <em>Webrooming Intention<\/em>, accounting for a high proportion of total variance explained (<em>R<\/em><sup>2<\/sup> &gt; .55). Additionally, the moderating roles of consumer-perceived risk and online review credibility supported the nomological network of the scale<\/span>.<\/p>\n<h2>Reliability<\/h2>\n<p>The Luxury Shopper Webrooming Intention Scale exhibits exemplary internal consistency reliability across diverse sub-samples of luxury consumers. Akram and Lavuri (2024) assessed reliability utilizing both traditional and modern psychometric metrics:<\/p>\n<ul>\n<li><strong>Cronbach&#8217;s Alpha (&alpha;):<\/strong> As an index of inter-item correlation and scale homogeneity, all seven subscales demonstrated Cronbach&#8217;s alpha values significantly above the conventional threshold of .70:<\/li>\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>Need for Touch:<\/em> &alpha; &asymp; .84<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>Need for Interaction:<\/em> &alpha; &asymp; .87<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>Perceived Ease of Use for Online Search:<\/em> &alpha; &asymp; .82<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>Perceived Usefulness of Online Search:<\/em> &alpha; &asymp; .85<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>Hedonic Value:<\/em> &alpha; &asymp; .86<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>Utilitarian Value:<\/em> &alpha; &asymp; .81<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><em>Webrooming Intention:<\/em> &alpha; &asymp; .88<\/span><\/li>\n<\/ul>\n<li><strong>Composite Reliability (CR):<\/strong> Because Cronbach&#8217;s alpha assumes tau-equivalence (equal factor loadings), Composite Reliability was calculated. All CR values ranged between .86 and .92, reinforcing that the scale constructs are free from debilitating random measurement error.<\/li>\n<li><strong>Item-Total Correlations:<\/strong> Corrected item-to-total correlations for all 22 indicators remained comfortably above .50, confirming that each item reliably reflects its parent latent dimension without redundant distortion.<\/li>\n<\/ul>\n<h2>Factor Analysis<\/h2>\n<p>The underlying factor structure of the LSWIS was thoroughly investigated using a two-step exploratory and confirmatory factor analytic approach. Structural equation modeling established that a seven-factor oblique model accounts for the observed data far better than alternative nested models (e.g., single-factor common method bias models or three-factor collapsed models).<\/p>\n<h3>Goodness-of-Fit Indices<\/h3>\n<p>Maximum likelihood estimation in CFA demonstrated that the seven-factor measurement model achieved exceptional fit indices conforming to modern psychometric standards (Hu &amp; Bentler, 1999):<\/p>\n<ul>\n<li><strong>Chi-Square to Degrees of Freedom Ratio (&chi;<sup>2<\/sup>\/df):<\/strong> Between 1.45 and 2.12 (well below the conservative upper ceiling of 3.00).<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Comparative Fit Index (CFI):<\/strong> &gt; .955, indicating superior relative fit compared to the baseline null model<\/span>.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Tucker-Lewis Index (TLI):<\/strong> &gt; .948, demonstrating robust model penalization for unnecessary complexity<\/span>.<\/li>\n<li><strong>Root Mean Square Error of Approximation (RMSEA):<\/strong> .041 to .052 (with a 90% confidence interval falling entirely below the .06 benchmark), confirming low residual error.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Standardized Root Mean Square Residual (SRMR):<\/strong> &lt; .045, reflecting minimal discrepancy between the empirical sample covariance matrix and the implied model matrix<\/span>.<\/li>\n<\/ul>\n<p>The unconstrained seven-factor structure demonstrated clear factor cleanings without cross-loadings above .20, verifying that the cognitive evaluations of digital tools, physical sensory needs, personal service demands, and product value assessments function as unique psychological constructs.<\/p>\n<h2>Instrument \/ Measurement Tool<\/h2>\n<ul>\n<li><strong>Assessment Type:<\/strong> Structured, multi-dimensional self-report psychometric rating scale.<\/li>\n<li><strong>Application:<\/strong> Academic research in retail psychology, consumer neuroscience, omnichannel luxury brand management, and marketing analytics.<\/li>\n<li><strong>Item Count:<\/strong> 22 items organized into 7 distinct subscales:<\/li>\n<ul>\n<li>Need for touch: 3 items<\/li>\n<li>Need for interaction: 4 items<\/li>\n<li>Perceived ease of use for online search: 3 items<\/li>\n<li>Perceived usefulness of online search: 3 items<\/li>\n<li>Hedonic value: 3 items<\/li>\n<li>Utilitarian value: 3 items<\/li>\n<li>Webrooming intention: 3 items<\/li>\n<\/ul>\n<li><strong>Response Format:<\/strong> 5-point Likert scale:<\/li>\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">1 = Strongly Disagree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">2 = Disagree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">3 = Neutral \/ Neither Agree nor Disagree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">4 = Agree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">5 = Strongly Agree<\/span><\/li>\n<\/ul>\n<li><strong>Administration Time:<\/strong> Approximately 5 to 8 minutes.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Scoring Protocol:<\/strong> Dimensional composite scores are derived by calculating the arithmetic mean of items within each subscale. High scores (&ge; 4.0) indicate pronounced orientation toward that specific dimension (e.g., acute tactile dependency, high hedonic engagement, or definitive webrooming behavioral intention). Structural equation modeling utilizes latent variable scores weighted by individual standardized indicator loadings<\/span>.<\/li>\n<\/ul>\n<h2>Permissions &amp; Fee and Test Year<\/h2>\n<p>The Luxury Shopper Webrooming Intention Scale was published in <strong>2024<\/strong>. The instrument is published under standard scholarly copyright in the <em>Journal of Consumer Behaviour<\/em> (John Wiley &amp; Sons, Ltd.).<\/p>\n<ul>\n<li><strong>Academic and Non-Commercial Research:<\/strong> The scale items may be utilized, reproduced, and adapted for non-commercial academic research, pedagogical investigations, and doctoral dissertations, provided that proper bibliographic attribution is granted to the original authors (<a href=\"https:\/\/dx.doi.org\/10.1002\/cb.2295\" target=\"_blank\" rel=\"noopener noreferrer\">Akram &amp; Lavuri, 2024<\/a>).<\/li>\n<li><strong>Commercial and Consultative Applications:<\/strong> Commercial market research firms, corporate enterprises, or proprietary software developers seeking to integrate the scale into commercial analytics suites or paid diagnostic platforms must obtain formal licensing permission from John Wiley &amp; Sons or the respective authors.<\/li>\n<li><strong>Fee:<\/strong> Standard academic access is free of charge via scholarly publication databases or direct author correspondence.<\/li>\n<\/ul>\n<h2>References<\/h2>\n<ul>\n<li>Akram, U., &amp; Lavuri, R. (2024). Understanding the consumer&#8217;s luxury webrooming intention: Moderating role of perceived risk and review. <em>Journal of Consumer Behaviour<\/em>, 23(3), 1602\u20131619. <a href=\"https:\/\/dx.doi.org\/10.1002\/cb.2295\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1002\/cb.2295<\/a><\/li>\n<li>Babin, B. J., Darden, W. R., &amp; Griffin, M. (1994). Work and\/or fun: Measuring hedonic and utilitarian shopping value. <em>Journal of Consumer Research<\/em>, 20(4), 644\u2013656. <a href=\"https:\/\/doi.org\/10.1086\/209376\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1086\/209376<\/a><\/li>\n<li>Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. <em>MIS Quarterly<\/em>, 13(3), 319\u2013340. <a href=\"https:\/\/doi.org\/10.2307\/249008\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.2307\/249008<\/a><\/li>\n<li>Hu, L. T., &amp; Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. <em>Structural Equation Modeling: A Multidisciplinary Journal<\/em>, 6(1), 1\u201355. <a href=\"https:\/\/doi.org\/10.1080\/10705519909540118\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1080\/10705519909540118<\/a><\/li>\n<li>Krishna, A. (2012). An integrative review of sensory marketing: Engaging the senses to affect perception, judgment and behavior. <em>Journal of Consumer Psychology<\/em>, 22(3), 332\u2013351. <a href=\"https:\/\/doi.org\/10.1016\/j.jcps.2011.08.003\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1016\/j.jcps.2011.08.003<\/a><\/li>\n<li>Peck, J., &amp; Childers, T. L. (2003). Individual differences in haptic information processing: The &#8220;need for touch&#8221; scale. <em>Journal of Consumer Research<\/em>, 30(3), 430\u2013442. <a href=\"https:\/\/doi.org\/10.1086\/378619\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1086\/378619<\/a><\/li>\n<\/ul>\n<h2>Items of the Scale<\/h2>\n<div class=\"wpt-scale-items-container\" style=\"direction:ltr; text-align:left; font-family:sans-serif;\">\n<p><em>Instructions: Please indicate your level of agreement with each of the following statements regarding your luxury shopping habits on a 5-point scale from 1 (&#8220;Strongly Disagree&#8221;) to 5 (&#8220;Strongly Agree&#8221;).<\/em><\/p>\n<h3>Dimension 1: Need for Touch<\/h3>\n<ol start=\"1\">\n<li>After experiencing a luxury item in my hands, I feel more confident in making purchases.<\/li>\n<li>I would purchase a luxury item if I could personally touch it before purchasing it.<\/li>\n<li>If I cannot touch a luxury item in the shop, I&#8217;m reluctant to purchase it.<\/li>\n<\/ol>\n<h3>Dimension 2: Need for Interaction<\/h3>\n<ol start=\"4\">\n<li>The interaction with sales people when buying luxury products is satisfying for the consumer.<\/li>\n<li>I enjoy interacting with those who sell luxury products.<\/li>\n<li>I place a lot of importance on receiving personalized service from luxury product salespeople.<\/li>\n<li>I would prefer to speak with a sales people than utilize a machine to purchase a luxury product.<\/li>\n<\/ol>\n<h3>Dimension 3: Perceived Ease of Use for Online Search<\/h3>\n<ol start=\"8\">\n<li>Online research regarding luxury products is more convenient than offline research.<\/li>\n<li>It is simple to find information about luxury products online.<\/li>\n<li>It is easy to get information about luxury things online.<\/li>\n<\/ol>\n<h3>Dimension 4: Perceived Usefulness of Online Search<\/h3>\n<ol start=\"11\">\n<li>Online reviews of luxury items are helpful\/useful to me.<\/li>\n<li>Online reviews of luxury items make luxury purchasing easier.<\/li>\n<li>Online reviews make me a smarter luxury shopper.<\/li>\n<\/ol>\n<h3>Dimension 5: Hedonic Value<\/h3>\n<ol start=\"14\">\n<li>Buying luxury products makes me feel good.<\/li>\n<li>I enjoy buying luxury products.<\/li>\n<li>I usually like buying luxury products.<\/li>\n<\/ol>\n<h3>Dimension 6: Utilitarian Value<\/h3>\n<ol start=\"17\">\n<li>In my opinion, luxury products are of higher quality.<\/li>\n<li>Luxury products have excellent designs.<\/li>\n<li>Luxury items have greater durability.<\/li>\n<\/ol>\n<h3>Dimension 7: Webrooming Intention<\/h3>\n<ol start=\"20\">\n<li>I like to do initial research about luxury products online before making in-store purchases.<\/li>\n<li>If I want to buy a luxury item, I&#8217;ll probably look into it online first.<\/li>\n<li>I knew that before purchasing luxury items, I would research them online.<\/li>\n<\/ol>\n<div style=\"margin-top: 18px; padding: 12px; background-color: #f8f9fa; border-left: 3px solid #6c757d; font-size: 13px;\">\n    <span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Response Scale:<\/strong> 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree<\/span>.\n  <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>An in-depth psychometric review of the Luxury Shopper Webrooming Intention Scale (LSWIS) by Akram and Lavuri (2024), measuring touch needs, sales interaction, online search perceptions, hedonic\/utilitarian values, and omnichannel shopping intentions.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[1076,2,16635],"tags":[2275,25712,3840,20044,3024,35,186,25711],"class_list":["post-8637","psych_scale","type-psych_scale","status-publish","hentry","category-consumer-psychology","category-psychometrics","category-retail-marketing-scales","tag-consumer-behavior","tag-luxury-shopping","tag-need-for-touch","tag-omnichannel-retailing","tag-retail-psychology","tag-scale-validation","tag-technology-acceptance-model","tag-webrooming"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/8637","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale"}],"about":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/types\/psych_scale"}],"author":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8637"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/8637\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8637"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8637"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8637"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}