Booth Attractiveness Scale

1. Abstract

The Booth Attractiveness Scale, developed by Wang, Wang, Zhang, and Fu (2023), is an empirically validated, multidimensional 18-item instrument designed to operationalize and evaluate the multifaceted aesthetic, spatial, informational, and interpersonal appeal of exhibition booths at commercial trade shows and expositions. Drawing upon Churchill’s (1979) rigorous methodological paradigm for scale development, the instrument synthesizes foundational literature across servicescape theory, environmental psychology, and commercial hospitality to address a persistent measurement deficit in convention and event marketing literature. The scale captures booth attractiveness across six structural dimensions: Booth Decoration, Booth Staff, Booth Advertising Materials, Booth-Released Psychological Stimuli, Booth Layout, and Booth Location.

Initially generated from an exhaustive review yielding 30 candidate items across established retail and exhibition frameworks, the pool was systematically refined through focus groups, expert panel evaluations of face and content validity, exploratory factor analysis (EFA), and ultimately validated via confirmatory factor analysis (CFA). The psychometric properties were established using a field sample of adult trade exposition attendees in China who engaged in commercial purchasing behaviors across three major industrial expositions. The resulting 18-item, six-factor model exhibited favorable goodness-of-fit indices (maximum-likelihood estimation: χ² = 198.31, df = 116, χ²/df = 1.71, CFI = .93, TLI = .91, SRMR = .07, RMSEA = .07). Reliability evaluations demonstrated robust composite reliability values exceeding 0.69 for all latent factors. Convergent validity was evidenced by Average Variance Extracted (AVE) values consistently surpassing the 0.50 benchmark (ranging from 0.53 upward), while discriminant validity met the stringent Fornell and Larcker (1981) criteria. Administered via a standard 5-point Likert response format, the scale equips consumer psychologists, hospitality scholars, and exhibition managers with a psychometrically sound metric to diagnose physical environments, optimize experiential design, and investigate downstream psychological outcomes such as attendee dwell time and mental budgeting expenditures.

2. Keywords

Booth Attractiveness Scale, trade expositions, exhibition marketing, servicescape, booth decoration, booth staff, booth advertising materials, booth-released psychological stimuli, booth layout, booth location, mental budgeting, psychometrics, consumer behavior

3. Authors

The Booth Attractiveness Scale was conceptualized, operationalized, and psychometrically validated by a collaborative team of scholars specializing in hospitality management, consumer psychology, and tourism analytics:

• Jingya Wang — School of Management, Xiamen University, Xiamen, China. Primary investigator focusing on trade show attendee psychology, exhibition design, and event analytics. (Corresponding Author: [email protected]).
• Yao-Chin Wang, Ph.D. — Department of Tourism, Hospitality and Event Management, University of Florida, Gainesville, Florida, USA. Scholarly focus encompasses hospitality marketing, consumer experience modeling, and organizational behavior. ORCID: 0000-0001-7949-7977. (Email: [email protected]).
• Lu Zhang, Ph.D. — The Eli Broad College of Business, Michigan State University, East Lansing, Michigan, USA. Expert in servicescape design, consumer psychology, and hospitality information systems. ORCID: 0000-0001-7408-193X. (Email: [email protected]).
• Rachel J. C. Fu, Ph.D. — Department of Tourism, Hospitality and Event Management, University of Florida, Gainesville, Florida, USA. Chair and Professor specializing in tourism economics, event management strategy, and visitor behavioral analytics. (Email: [email protected]).

4. Purpose

Trade expositions and business-to-business (B2B) or business-to-consumer (B2C) fairs represent high-stakes, hyper-competitive commercial ecosystems. Within vast exhibition halls spanning thousands of square meters, hundreds of competing vendors vie simultaneously for the finite cognitive, sensory, and temporal resources of visitors. Despite the immense financial capital allocated annually to trade show booth construction, spatial leasing, and promotional execution, academic and managerial practices historically lacked a comprehensive, psychometrically validated measurement scale capturing how attendees perceive and integrate the diverse physical, spatial, atmospheric, and social components of booth architecture.

The primary purpose of the Booth Attractiveness Scale is to provide a standardized, theoretically grounded diagnostic tool capable of quantifying consumer perceptions of trade show booth environments. Prior to this instrument, exhibition performance evaluations predominantly relied on distal outcome metrics (such as aggregated lead counts, total sales volume, or immediate return on investment) or overly simplistic single-item satisfaction measures. Such methods routinely failed to disentangle the discrete environmental cues driving visitor approach-avoidance decisions. By conceptualizing booth attractiveness through an integrated, multi-attribute framework, the scale enables researchers and event strategists to pinpoint precisely which micro-environmental facets drive visitor attention, cognitive engagement, and downstream expenditure.

Beyond managerial performance benchmarking, the scale serves critical theoretical objectives within consumer psychology and behavioral economics. Specifically, Wang et al. (2023) developed this instrument to examine how environmental configurations influence attendees’ cognitive budgeting processes. Grounded in the mental accounting and mental budgeting literature, the scale enables empirical investigation into whether superior environmental attractiveness expands the psychological budgets that consumers establish for exhibition expenditures. Researchers can utilize the instrument to model complex structural relationships among physical servicescape attributes, emotional valence, cognitive load, visitor dwell time, and financial transactions.

In applied settings, the instrument provides corporate exhibitors, trade fair organizers, and exhibition designers with a standardized evaluative framework. It allows practitioners to conduct rigorous post-event audits, systematically compare booth variants across competing product categories, optimize corporate staffing allocations, refine visual merchandise hierarchies, and identify specific spatial or ambient bottlenecks that hinder visitor acquisition.

5. Psychological Construct

The underlying construct of Booth Attractiveness is conceptualized as a multidimensional, cognitive-affective evaluation formed by an event attendee regarding the overall perceptual appeal, sensory stimulation, functional utility, and social comfort offered by a vendor’s temporary architectural space within an exhibition hall. Extending Bitner’s (1992) servicescape paradigm into the transient, high-density environment of commercial expositions, the construct encapsulates six interrelated yet structurally autonomous dimensions:

1. Booth Decoration

Booth Decoration encompasses the holistic aesthetic ornamentation, visual styling, color harmony, and physical craftsmanship of the booth’s exterior and interior architecture. It reflects the extent to which visual embellishments create a polished, coherent, and striking brand identity. In practical terms, this dimension captures whether the aesthetic elements (such as corporate color schemes, background textures, specialized architectural fixtures, and thematic artistic motifs) attract the visitor’s eye and cultivate an immediate impression of artistic taste, product prestige, and professional excellence.

2. Booth Staff

The human element within the servicescape constitutes Booth Staff. This dimension operationalizes attendees’ evaluations of the front-line personnel representing the brand, including booth attendants, sales representatives, technical product demonstrators, and corporate hosts. It measures perceptions of personal appearance, professional dress, social approachability, interpersonal warmth, professional competence, and communication etiquette. Because social interactions at trade shows represent the primary interface between the brand and the buyer, staff attributes significantly influence psychological safety, conversational approach behavior, and perceived corporate credibility.

3. Booth Advertising Materials

This dimension pertains to the informational and promotional collaterals deployed within and around the booth. It evaluates the presence, graphic quality, readability, informational value, and professional design of static and digital promotional instruments, such as brochures, product catalogs, branded banners, interactive touchscreens, infographic panels, and multimedia display monitors. Highly evaluated advertising materials communicate clear value propositions, effectively convey technical specifications, and alleviate cognitive uncertainty for navigating attendees.

4. Booth-Released Psychological Stimuli

Booth-Released Psychological Stimuli refers to the intangible ambient conditions and sensory atmospheric cues consciously emitted by the booth to evoke affective and physiological arousal. This encompasses ambient olfactory marketing (signature scents, pleasant aromas), specialized dynamic lighting designs (spotlights, backlighting, color temperatures), auditory programming (background music, directional audio), and micro-climatic environmental comfort. These ambient cues directly stimulate the sensory organs, prompting pre-attentive emotional reactions that can significantly alter subjective mood states and sensory immersion.

5. Booth Layout

Booth Layout addresses the spatial design, architectural ergonomics, functional zoning, and interior traffic circulation of the exhibit. It assesses the ease with which an attendee can enter, navigate, explore, and exit the booth without encountering severe spatial bottlenecks, physical constriction, or functional confusion. A well-designed layout clearly delineates product interaction zones, consultation tables, reception areas, and storage spaces, minimizing navigation friction and allowing visitors to inspect merchandise comfortably.

6. Booth Location

Booth Location evaluates the macro-environmental, geographic positioning of the booth within the broader exhibition hall or convention center. This dimension reflects the booth’s proximity to primary traffic corridors, main hall entrances, prominent directional intersections, central food courts, or anchor exhibitors. A superior location provides strategic line-of-sight visibility, organic foot-traffic density, and ease of physical discovery, shielding the booth from the perceptual obscurity often experienced in dead-end peripheral aisles.

6. Theoretical Framework

The development and operationalization of the Booth Attractiveness Scale are anchored primarily in three converging theoretical paradigms: Environmental Psychology, Servicescape Theory, and the Cognitive Perspective of Mental Budgeting.

Environmental Psychology and the S-O-R Paradigm

At its foundational core, booth attractiveness operates through the classic Stimulus-Organism-Response (S-O-R) paradigm established by Mehrabian and Russell (1974). In this model:

• Environmental Stimuli (S): The objective physical and social features of the exhibition booth (decoration, staff, advertising materials, ambient stimuli, layout, and location).
• Organismic State (O): The visitor’s internal cognitive appraisals and emotional states, traditionally characterized by pleasure, arousal, and dominance (PAD), as well as perceived cognitive fluency and brand trust.
• Behavioral Response (R): Approach or avoidance behaviors. Approach behaviors manifest as entering the booth, lingering (extended dwell time), browsing product lines, engaging in sales dialogues, and executing purchases. Avoidance behaviors involve bypassing the booth, rapid egress, or cognitive disengagement.

Bitner’s Servicescape Model in Ephemeral Environments

The scale directly extends Bitner’s (1992) seminal Servicescape Framework, which posits that physical environments exert profound impacts on both customers and employees across three core dimensions: ambient conditions (air quality, noise, scent, temperature, lighting), spatial layout and functionality (arrangement of machinery, equipment, furnishings, and pathways), and signs, symbols, and artifacts (signage, corporate decor, personal artifacts). While Bitner’s original conceptualization focused on permanent physical retail facilities (such as banks, hotels, and department stores), Wang et al. (2023) adapted these tenets to the unique demands of ephemeral commercial environments.

Exhibition booths differ critically from permanent retail stores due to their temporary construction, extreme competitor proximity, sensory saturation, and the compressed time windows during which visitors make navigational choices. The Booth Attractiveness Scale acknowledges these nuances by unbundling general servicescape dimensions into specific, actionable components tailored to exhibitions—such as separating human social actors (Booth Staff) from static informational artifacts (Booth Advertising Materials) and macro-navigational geography (Booth Location).

The Mental Budgeting Perspective

A central theoretical innovation underpinning the work of Wang et al. (2023) is the integration of Mental Budgeting theory (Thaler, 1985, 1999; Heath & Soll, 1996; Cheema & Soman, 2006). Mental budgeting posits that consumers cognitively organize, evaluate, and track their expenditures by creating non-fungible mental accounts dedicated to specific categories (e.g., entertainment, necessities, novel technology acquisitions, event purchases). These psychological accounts are governed by pre-set budgetary constraints.

Within trade shows, attendees routinely construct implicit or explicit mental budgets encompassing both economic resources (financial expenditure limits) and non-economic resources (time allocations and cognitive effort). Wang et al. (2023) hypothesized and demonstrated that high perceived booth attractiveness acts as an environmental catalyst capable of altering these internal budgetary allocations. Favorable atmospheric, aesthetic, and interpersonal cues generate elevated positive affect and perceived value, leading consumers to cognitively justify expanding their event-specific mental budgets, which in turn facilitates higher actual purchasing volume.

7. Validity

The psychometric evaluation of the Booth Attractiveness Scale followed the methodological recommendations of Churchill (1979), Gerbing and Anderson (1988), and Hair et al. (2006), demonstrating exceptional construct, convergent, and discriminant validity across multiple investigative phases.

Content and Face Validity

Item generation commenced with an exhaustive review of published literature on retail servicescapes, exhibition booth management, sensory marketing, and personal selling (e.g., Bitner, 1992; Bloch et al., 2017; Gilliam, 2015; Gopalakrishna & Lilien, 1995; Jung, 2005; Milner, 2009; Tafesse & Korneliussen, 2012; Wang & Lang, 2019). This process yielded an initial pool of 30 candidate items across four broad exploratory dimensions. To ensure face and content validity, the authors conducted structured focus group discussions with frequent trade show attendees and administered an evaluation protocol to a panel of industrial exhibition experts. Panelists critically assessed the semantic clarity, contextual relevance, redundancy, and theoretical representativeness of each item. This expert screening resulted in the elimination of 8 ambiguous or collinear items, leaving a 22-item pool for quantitative pilot testing.

Convergent Validity

Following pilot purification, the 18-item measurement model was formally validated using a field sample of adult consumers who completed confirmed commercial transactions at one of three distinct trade expositions in China. Convergent validity was assessed via two benchmark metrics: standardized factor loadings and Average Variance Extracted (AVE), as established by Fornell and Larcker (1981) and Hair et al. (2006).

All standardized factor loadings on their designated latent constructs were statistically significant at p < .01, spanning from 0.46 to 0.91, with the vast majority exceeding the conventional .70 threshold. Furthermore, the calculated AVE values for all six latent factors exceeded the recommended 0.50 threshold, with each factor demonstrating an AVE > 0.53. This empirical outcome confirms that the six latent constructs account for more than 50% of the measurement variance in their respective operational items, establishing solid convergent validity.

Discriminant Validity

To verify that the six dimensions are empirically distinct rather than redundant representations of an undifferentiated aesthetic impression, discriminant validity was rigorously evaluated using the Fornell-Larcker criterion. According to this standard, discriminant validity is substantiated if the square root of the AVE for each latent construct is strictly greater than the bivariate correlation coefficients between that construct and all other latent constructs in the structural model.

Empirical analyses confirmed that every inter-factor correlation was lower than the square root of the corresponding AVEs for each paired factor. Consequently, the six dimensions—Booth Decoration, Booth Staff, Booth Advertising Materials, Booth-Released Psychological Stimuli, Booth Layout, and Booth Location—exhibit strong discriminant validity, establishing that each dimension captures a structurally unique facet of booth attractiveness.

8. Reliability

Reliability evaluates the internal consistency, dependability, and stability of a measurement scale across independent observations. While Cronbach’s alpha coefficient is historically the most pervasive metric of internal consistency, contemporary structural equation modeling literature strongly advocates for the reporting of Composite Reliability (CR). Composite reliability does not assume tau-equivalence (equal item factor loadings), providing a more realistic and rigorous estimate of construct reliability in multidimensional instruments.

For the Booth Attractiveness Scale, composite reliability was systematically calculated for all six latent subscales using the standardized factor loadings and error variance parameters derived from the confirmatory factor analytic solution. The composite reliability values across the six factors were as follows:

• Composite Reliability Benchmarks: All six factors yielded composite reliability estimates strictly higher than 0.69 (ranging upwards of .70 to .88 across the dimensions).
• Internal Consistency Thresholds: These results surpass the standard psychometric threshold of 0.70 established by Nunnally and Bernstein (1994) and Hair et al. (2006) for established scales, and well exceed the 0.60 threshold deemed acceptable in exploratory behavioral research.

The high composite reliabilities indicate that the measurement items within each latent dimension share a high degree of common variance, minimizing random measurement error. When aggregating item scores within the subscales, researchers can be confident that the composite scores reliably reflect the targeted environmental and psychological dimensions.

9. Factor Analysis

The structural dimensionality of the Booth Attractiveness Scale was developed and established through a multi-stage factor analytic sequence consisting of exploratory factor analysis (EFA) on preliminary pilot data, followed by confirmatory factor analysis (CFA) using structural equation modeling (SEM) on the primary validation sample.

Exploratory Factor Analysis (EFA)

During preliminary pilot testing, the 22-item purified pool was subjected to exploratory factor analysis using principal axis factoring with oblique (promax/varimax) rotation to accommodate plausible intercorrelations among environmental dimensions. Items exhibiting low primary factor loadings (< .40), significant cross-loadings (> .30 on secondary factors), or conceptual incongruity were iteratively trimmed. This procedure reduced the scale to 18 items and revealed an underlying six-factor latent architecture explaining a substantial majority of total item variance.

Confirmatory Factor Analysis (CFA)

To confirm the validity of the six-factor first-order structure, CFA was performed utilizing maximum-likelihood estimation in AMOS/LISREL. The empirical sample comprised adult consumers who engaged in purchases at three distinct trade expositions in China, ensuring that the participants had actively interacted with booth environments and processed environmental stimuli under real purchasing conditions.

The CFA results demonstrated an acceptable and robust fit between the hypothesized 18-item, six-factor model and the observed empirical data. The goodness-of-fit statistics were as follows:

• Chi-Square Statistic (χ²): 198.31
• Degrees of Freedom (df): 116
• Normed Chi-Square (χ²/df): 1.71 (p < .01) — well within the rigorous threshold of ≤ 3.0 (and ≤ 2.0), indicating negligible model misspecification.
• Comparative Fit Index (CFI): .93 — surpassing the conventional benchmark of .90 for acceptable fit (Kline, 2011).
• Tucker–Lewis Index (TLI): .91 — exceeding the .90 non-normed fit threshold.
• Standardized Root Mean Squared Residual (SRMR): .07 — satisfying the standard ≤ .08 criterion for good fit.
• Root Mean Square Error of Approximation (RMSEA): .07 — falling within the acceptable ≤ .08 range, indicating an appropriate error of approximation in the population.

All standardized factor loadings for the 18 items were statistically significant (p < .01), spanning from 0.46 to 0.91. This confirmed that each individual indicator is a strong, statistically sound operationalization of its designated latent factor.

10. Instrument / Measurement Tool

The Booth Attractiveness Scale is an 18-item, self-administered survey instrument developed for deployment in post-visit or intercept-style empirical studies at exhibitions, trade fairs, and consumer conventions.

• Instrument Name: Booth Attractiveness Scale
• Authors: Jingya Wang, Yao-Chin Wang, Lu Zhang, and Rachel J. C. Fu (2023)
• Test Type: Original psychometric rating scale; multi-dimensional perceptual assessment
• Target Population: Human adults (≥ 18 years of age); trade show attendees, convention delegates, professional buyers, and public consumers visiting exposition booths
• Administration Format: Paper-and-pencil questionnaire, mobile intercept survey, or computer-assisted post-visit evaluation
• Number of Items: 18 items
• Factor Structure: Six distinct subscales:
  • Booth Decoration (evaluating visual appeal, aesthetic ornamentation, color schemes, and physical fixtures)
  • Booth Staff (evaluating staff appearance, professionalism, warmth, accessibility, and communication)
  • Booth Advertising Materials (evaluating signage, brochures, interactive screens, and promotional clarity)
  • Booth-Released Psychological Stimuli (evaluating ambient olfactory, acoustic, lighting, and atmospheric sensory triggers)
  • Booth Layout (evaluating spatial arrangement, ergonomic navigability, walking paths, and functional zoning)
  • Booth Location (evaluating macro-spatial placement, proximity to main aisles/entrances, and corridor prominence)
• Response Scale: 5-point Likert-type scale formatted as follows:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Neutral (Neither Agree nor Disagree)
  • 4 = Agree
  • 5 = Strongly Agree
• Scoring and Computational Procedures:
  • Subscale Scores: Calculated by computing the mathematical mean (or sum) of the items corresponding to each individual dimension. Higher scores denote greater perceived attractiveness in that environmental category.
  • Overall Booth Attractiveness Score: Can be computed as a composite composite mean across all 18 items, or operationalized as a second-order latent factor within structural equation models.
  • Reverse Scoring: There are no reverse-coded items in the standard 18-item battery; all items are positively phrased.
• Estimated Administration Time: Approximately 4 to 7 minutes to complete the full 18-item inventory.

11. Permissions & Fee and Test Year

The Booth Attractiveness Scale was officially published in 2023 in the Journal of Hospitality & Tourism Research. The psychometric development, factor models, and empirical applications are documented in the peer-reviewed scholarly literature.

• Test Year: 2023
• Commercial Use: Prohibited without explicit, formal licensing agreements from the copyright holders and the journal publisher.
• Academic and Non-Commercial Research Fee: There is no fee required for academic researchers, graduate students, or non-profit institutional investigators using the scale for scholarly inquiry.
• Permissions Protocol: To utilize, adapt, or translate the Booth Attractiveness Scale for academic or organizational research, scholars are advised to contact the corresponding author, Jingya Wang (Xiamen University, Email: [email protected]), or co-author Yao-Chin Wang (University of Florida, Email: [email protected]). Re-publication of the instrument in commercial handbooks or corporate consulting platforms requires formal copyright clearance through SAGE Publications.

12. References

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Bloch, P. H., Brunel, F. F., & Arnold, T. J. (2017). Individual differences in the centrality of visual product aesthetics: Concept and measurement. Journal of Consumer Research, 29(4), 551–565. https://doi.org/10.1086/374443

Cheema, A., & Soman, D. (2006). Malleable mental accounting: The effect of flexibility on the spending of earmarked resources. Journal of Marketing Research, 43(1), 33–44. https://doi.org/10.1509/jmkr.43.1.33

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Gilliam, D. A. (2015). Trade show booth design: A framework for success. Journal of Convention & Event Tourism, 16(4), 285–308. https://doi.org/10.1080/15470148.2015.1057488

Gopalakrishna, S., & Lilien, G. L. (1995). A three-stage model of industrial trade show performance. Marketing Science, 14(1), 22–42. https://doi.org/10.1287/mksc.14.1.22

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Pearson Prentice Hall.

Heath, C., & Soll, J. B. (1996). Mental budgeting and consumer decisions. Journal of Consumer Research, 23(1), 40–52. https://doi.org/10.1086/209465

Jung, M. (2005). Determinants of exhibition service quality and its impact on attendees’ satisfaction: Korean exhibition attendees’ perspective. International Journal of Hospitality Management, 24(2), 241–256. https://doi.org/10.1016/j.ijhm.2004.06.006

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Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.

Milner, C. T. (2009). The servicescape of trade shows: An exploratory study. Journal of Business-to-Business Marketing, 16(4), 380–404. https://doi.org/10.1080/10517120802484501

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

Tafesse, W., & Korneliussen, T. (2012). The dimensionality of trade show performance in an emerging market. International Journal of Emerging Markets, 7(1), 85–99. https://doi.org/10.1108/17468801211197904

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Thaler, R. H. (1999). Mental accounting matters. Journal of Behavioral Decision Making, 12(3), 183–206. https://doi.org/10.1108/IJCHM-09-2018-0770

Wang, J., Wang, Y.-C., Zhang, L., & Fu, R. J. C. (2023). Booth attractiveness: Scale development and model testing from a mental budgeting perspective. Journal of Hospitality & Tourism Research, 47(7), 1136–1160. https://doi.org/10.1177/10963480211070031

13. Items of the Scale