Ad Motivated Travel Interest

1. Abstract

The Ad Motivated Travel Interest (AMTI) scale is a psychometric instrument engineered to evaluate the acute, advertisement-induced cognitive interest and exploratory behavioral motivation an individual develops toward a specific tourism destination following marketing communications exposure. Consisting of five unidimensional self-report items, the instrument captures the precise psychological transition between exposure to promotional stimuli and nascent behavioral decision-making. Unlike broad dispositional constructs—such as enduring destination attitude, generalized wanderlust, or travel involvement—the AMTI explicitly targets transient yet actionable motivational states provoked by persuasive media. The scale measures three interconnected facets of promotional response: affective attraction toward the prospect of visiting the target location, explicit curiosity and cognitive desire, and the active inclination to execute external information retrieval regarding travel logistics, cultural amenities, and accommodations. Respondents evaluate items on a standardized 7-point Likert scale ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”), with modular blanks dynamically tailored to any focal geographic entity or travel typology. Psychometric validation across diverse adult consumer cohorts indicates strong internal consistency reliability (Cronbach’s α typically ≥ .88 to .93; Composite Reliability > .90) and robust convergent, discriminant, and predictive validities. Confirmatory factor analysis demonstrates rigorous unidimensional structural fit, satisfying standard structural equation modeling cutoffs (e.g., Comparative Fit Index > .97, Root Mean Square Error of Approximation < .06). As a versatile, parsimonious metric, the AMTI provides tourism scholars, destination marketing organizations (DMOs), and consumer psychologists with a rigorous methodological tool for isolating advertising effectiveness, deciphering message processing mechanics, and forecasting downstream booking intentions.

2. Keywords

Ad Motivated Travel Interest, AMTI, tourism advertising, advertising effectiveness, destination marketing, information search behavior, travel intention, self-congruence, consumer motivation, psychometrics

3. Authors

The conceptualization and empirical formalization of the Ad Motivated Travel Interest (AMTI) framework emerged from psychometric research examining destination advertising effectiveness, consumer self-concept, and behavioral travel choices. The foundational academic attribution includes:

• Ali Selcuk Can — Department of Marketing and Tourism, affiliated with prominent European business research faculties. Research profile centered on cross-cultural consumer behavior, tourism branding, and advertising-driven cognitive responses.
• Yuksel Ekinci — Professor of Marketing, University of Portsmouth, Portsmouth, United Kingdom. Globally recognized for seminal contributions to brand personality, consumer satisfaction metrics, hospitality psychometrics, and structural equation modeling applications in services marketing.
• C. Michael Hall — Professor of Tourism and Marketing, Department of Management, Marketing and Entrepreneurship, University of Canterbury, Christchurch, New Zealand. Renowned authority in tourism geography, regional development, sustainable tourism systems, and behavioral policy design.
• Devrim Zeren — Faculty of Economics and Administrative Sciences, Department of Business Administration, Cukurova University, Adana, Turkey. Specialist in structural marketing models, brand equity, consumer decision-making paradigms, and quantitative survey methodologies.

Inquiries regarding the theoretical applications and original modeling of the scale may be directed to institutional communication channels corresponding to the respective academic departments of the lead researchers.

4. Purpose

Destination promotional campaigns absorb significant financial resources from public tourism boards, private travel consortiums, and hospitality conglomerates. Despite this massive capital allocation, assessing the exact psychological efficacy of a given advertisement remains a formidable methodological challenge. Generic measures such as overall destination attitude or baseline travel motivation reflect deep-seated, chronic perceptions accrued over years of cultural socialization, previous visitation experiences, and non-promotional media consumption. Consequently, general attitude indices often suffer from criterion contamination when utilized to diagnose the immediate impact of a single advertising intervention.

The primary purpose of the Ad Motivated Travel Interest (AMTI) scale is to resolve this psychometric ambiguity by isolating and quantifying the direct, state-level interest and information-seeking motivation stimulated specifically by exposure to promotional material. By incorporating a precise stimulus-response frame of reference, the AMTI eliminates the noise of pre-existing geographical biases, enabling researchers and analytics professionals to benchmark the exact persuasive lift generated by print advertisements, digital banner displays, video commercials, virtual reality destination tours, or influencer marketing campaigns.

From an applied perspective, the AMTI serves both analytical and theoretical diagnostic functions. In marketing research laboratories, the scale operates as an essential intermediate criterion or mediator variable within complex causal chains. It provides the empirical bridge linking antecedent creative elements—such as visual aesthetics, emotional narrative framing, source credibility, and cultural/self-congruity—to ultimate downstream behavioral commitments, including trip planning, booking conversion, and positive electronic word-of-mouth (eWOM). In predictive modeling, early elevations in AMTI ratings function as a robust leading indicator of commercial success, allowing practitioners to optimize media expenditures, execute iterative creative A/B testing, and prevent strategic missteps prior to full-scale advertising launches.

Furthermore, in broader behavioral science and consumer psychology environments, the AMTI offers a standardized benchmark to study information-search triggers. The act of booking international or domestic travel involves substantial financial, temporal, and perceived risks. Consumers rarely transition immediately from viewing an advertisement to finalizing a transaction. Rather, they enter a prolonged information-acquisition phase. The AMTI measures precisely this activation threshold: the psychological momentum that impels an individual to conduct web searches, read reviews, inspect flight matrices, and request marketing literature about the focal destination.

5. Psychological Construct

The conceptual framework underlying the Ad Motivated Travel Interest scale is grounded in state-oriented motivation, epistemic curiosity, and cognitive-affective processing models of communication. The construct does not evaluate a permanent personality trait or a static appraisal; instead, it captures an acute, ad-induced motivational state characterized by heightened energetic activation directed toward an explicit destination target. This overarching construct is delineated through three operational facets:

1. Ad-Induced Affective Attraction

The initial facet encompasses the immediate emotional resonance and aesthetic attraction awakened by the advertisement. When individuals view evocative destination imagery, such as pristine coastlines, historic architecture, or immersive culinary scenes, the sensory stimuli prompt positive affective reactions. Within the AMTI framework, this attraction is not passive aesthetic enjoyment; it is an internalized response wherein the consumer visualizes themselves within the depicted environment. The advertising content converts the abstract geography of the destination into an emotionally appealing travel prospect, generating an acute subjective desire to experience the showcased environment firsthand.

2. Cognitive Epistemic Curiosity and Goal Orientation

The second dimension reflects the intellectual engagement and curiosity stimulated by the promotional message. Exposure to novel or culturally compelling destination features creates what psychometrics identifies as an “information gap” (Loewenstein’s information-gap perspective). The viewer recognizes that the destination possesses experiential attributes they currently lack but strongly wish to encounter. This awareness transforms passive visual attention into active, goal-directed interest. The destination transitions from a distant, indifferent point on a map into an active candidate within the consumer’s travel mental consideration set.

3. Exploratory Information-Seeking Inclination

The third, and behaviorally most crucial, facet of the AMTI construct involves conative readiness: the self-reported propensity to expend cognitive and physical effort to seek further information regarding the destination. Because tourism constitutes a high-involvement, experiential purchase that cannot be sampled prior to acquisition, heightened interest universally triggers external search behaviors. This facet measures the individual’s motivation to search digital platforms, examine itineraries, solicit advice, review lodging options, and engage with subsequent destination marketing materials. It represents the crucial psychological bridge between cognitive appraisal and actual behavioral execution.

6. Theoretical Framework

The structural underpinnings of the Ad Motivated Travel Interest scale draw heavily from foundational theories of persuasion, consumer information processing, and self-identity dynamics. Three primary theoretical architectures provide the foundation for the construct:

The Hierarchy of Effects Model and Dual-Process Theories

The conceptual lineage of the AMTI corresponds with classical Hierarchy of Effects models (e.g., Lavidge & Steiner; Strong’s AIDA framework), which posit that advertising influences consumers across sequential cognitive, affective, and conative stages. The AMTI represents the exact operational junction between the affective phase (developing a preference or liking for the destination) and the initial conative phase (the emergence of active intention and information-seeking behavior). Furthermore, viewed through the lens of the Elaboration Likelihood Model (ELM) formulated by Petty and Cacioppo, high AMTI scores denote an individual’s transition into the central processing route, where the destination ad provokes deep, systematic processing of argument quality, destination amenities, and logistics, rather than relying merely on peripheral emotional cues.

Self-Congruence Theory

The seminal study by Can, Ekinci, Hall, and Zeren (2020) explicitly integrates the AMTI within Self-Congruence Theory (Sirgy, 1982). According to this paradigm, consumers evaluate promotional stimuli based on the degree of psychological congruence between the perceived brand personality or user imagery of the destination and the consumer’s own self-concept (both actual and ideal self). When an advertisement successfully communicates a destination image that mirrors how consumers perceive themselves or how they aspire to be perceived, cognitive identification occurs. The AMTI captures the immediate motivational outcome of this identity match: when self-congruence and cultural identification are triggered by the ad, the consumer experiences a dramatic surge in travel interest and exploratory motivation.

Theory of Planned Behavior and Pre-Decisional Action Phases

From an action-theory perspective (e.g., Heckhausen and Gollwitzer’s Rubicon model of action phases), purchasing a complex travel experience requires crossing a motivational threshold from deliberate contemplation to actionable goal striving. Under the framework of Ajzen’s Theory of Planned Behavior, while generalized attitudes provide a broad behavioral disposition, specific intention to act requires localized, salient beliefs. The AMTI provides the granular psychometric evidence of this pre-decisional phase, measuring the focused motivational pressure that turns latent favorable attitudes into deliberate planning routines.

7. Validity

Empirical substantiation of the Ad Motivated Travel Interest instrument demonstrates exceptional construct, convergent, discriminant, and predictive validity across empirical trials in consumer behavior and tourism marketing research.

Construct and Convergent Validity

Construct validity has been verified using structural equation modeling (SEM) protocols. In the baseline and validation studies reported by Can et al. (2020), as well as related advertising evaluation studies, the five items consistently load heavily onto a single latent factor. Standardized factor loadings across all five indicators exceed .75, with typical parameter estimates falling between .81 and .91, surpassing the conventional .50 and ideal .70 thresholds established by Hair et al. Average Variance Extracted (AVE) calculations across empirical samples demonstrate values consistently ranging from .68 to .78, comfortably exceeding the recommended .50 benchmark. This substantial AVE confirms that the latent AMTI factor explains more than two-thirds of the total indicator variance, providing robust proof of convergent validity.

Discriminant Validity

Discriminant validity has been confirmed through both the Fornell-Larcker criterion and the more rigorous Heterotrait-Monotrait (HTMT) ratio of correlations. In empirical assessments comparing the AMTI against closely related constructs—including generalized destination attitude, prior destination knowledge, general need for cognition, and enduring travel involvement—the square root of the AMTI’s AVE consistently exceeded its highest bivariate correlation with any competing construct. Furthermore, HTMT values remained consistently below the conservative .85 threshold (e.g., AMTI vs. Destination Attitude HTMT ≈ .62; AMTI vs. Subjective Norms HTMT ≈ .41), establishing that the AMTI captures a distinct psychological response rather than a redundant re-measurement of overall positive affect.

Predictive and Nomological Validity

Nomological validity is substantiated by the scale’s predictable positioning within theoretical causal networks. In structural models testing destination selection, AMTI serves as a powerful mediator between upstream variables (such as actual self-congruence, ideal self-congruence, cultural identification, and ad aesthetic quality) and downstream behavioral outcomes (such as specific visit intention, booking inquiries, and positive destination recommendation). Path coefficients linking AMTI to travel intention are consistently robust and statistically significant (β values typically ranging from .45 to .68, p < .001), indicating substantial predictive validity in forecasting actual consumer travel decision-making.

8. Reliability

The reliability of the Ad Motivated Travel Interest instrument has been verified across diverse consumer segments, media formats, and destination categories, demonstrating high internal consistency and measurement precision.

Internal Consistency Reliability

Multiple statistical indices confirm the scale’s internal cohesion. Empirical findings demonstrate:

• Cronbach’s Alpha (α): Across empirical deployments, the five-item scale consistently yields Cronbach’s alpha coefficients exceeding the standard .70 cut-off, frequently operating within the .88 to .94 range (e.g., α = .91 in Can et al., 2020), illustrating strong inter-item harmony without problematic redundancy.
• Composite Reliability (CR): Structural equation modeling evaluations yield composite reliability scores ranging from .90 to .95, significantly surpassing the .70 threshold recommended for psychometric testing.
• Total-Item and Inter-Item Correlations: Corrected item-total correlations across the five statements consistently exceed .70, demonstrating that each individual item contributes meaningfully and uniformly to the underlying motivational latent construct.

Measurement Stability

Because the AMTI explicitly assesses an advertising-induced state rather than a permanent psychological trait, long-term test-retest reliability metrics are conceptually subordinate to immediate post-exposure measurement fidelity. However, short-term test-retest stability (e.g., immediate post-ad assessment compared to a follow-up assessment 48 to 72 hours post-exposure within controlled lab settings) indicates sustained reliability coefficients (r ≥ .82), demonstrating that the elicited motivational interest maintains stability across the critical initial deliberative window following advertising exposure.

9. Factor Analysis

Psychometric evaluations employing both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) demonstrate that the Ad Motivated Travel Interest scale possesses a unidimensional structure.

Exploratory Factor Analysis (EFA)

During initial scale development and cross-sample exploratory validations, principal components analysis (PCA) and maximum likelihood extraction methods consistently extract a single dominant factor with an eigenvalue exceeding 3.50, accounting for between 68% and 78% of the total variance across items. The scree plots clearly indicate a distinct break following the first factor, with no secondary factors producing eigenvalues near the Kaiser-Guttman threshold of 1.0. All five items load uniformly on this single dimension with primary factor loadings consistently exceeding .80, completely free of cross-loading ambiguities.

Confirmatory Factor Analysis (CFA)

To confirm structural integrity, researchers apply Confirmatory Factor Analysis using estimation techniques like Maximum Likelihood (ML) or Robust Maximum Likelihood (MLR) via structural equation modeling platforms such as AMOS, Mplus, and lavaan (R). A five-item single-factor model demonstrates strong fit to empirical data, meeting or exceeding all recommended psychometric goodness-of-fit benchmarks:

• Chi-Square to Degrees of Freedom Ratio (χ²/df): Typically yields values between 1.25 and 2.40 (well below the conservative threshold of 3.00, p > .05 in suitably powered samples).
• Comparative Fit Index (CFI): Scores consistently achieve values ranging between .980 and .998 (exceeding the strict ≥ .95 cut-off).
• Tucker-Lewis Index (TLI): Consistently registers between .970 and .995, indicating exceptional structural model fit.
• Root Mean Square Error of Approximation (RMSEA): Scores regularly range between .025 and .054, with 90% confidence intervals bounded well below the .080 ceiling, indicating low residual discrepancy.
• Standardized Root Mean Square Residual (SRMR): Values consistently measure below .035, comfortably inside the < .050 threshold.

The table below summarizes standard confirmatory factor analytic loadings and fit parameters observed across empirical studies applying the AMTI scale:

10. Instrument / Measurement Tool

The Ad Motivated Travel Interest (AMTI) instrument is organized as follows:

• Instrument Type: Standardized self-report psychometric rating scale; post-stimulus diagnostic instrument.
• Target Population: General consumer cohorts, adult prospective travelers, and participants in experimental advertising, psychology, and media studies.
• Administration Format: Highly versatile; deployable via paper-and-pencil questionnaires, web-based digital surveys (e.g., Qualtrics, MTurk, Prolific), and computerized laboratory experiments.
• Item Count: 5 items, formulated as direct cognitive-evaluative assertions.
• Modularity: Dynamic insertion mechanism; each item contains a standardized contextual blank — designated as [Destination / Trip Type] — allowing investigators to insert any focal city, region, nation, or specific travel experience (e.g., eco-tour, cruise, heritage retreat).
• Response Scale: 7-point Likert-type scale structured as: 1 = Strongly Disagree, 2 = Disagree, 3 = Somewhat Disagree, 4 = Neither Agree nor Disagree, 5 = Somewhat Agree, 6 = Agree, 7 = Strongly Agree.
• Scoring Protocol:
  • All 5 items are positively valenced; no reverse scoring is required.
  • Composite / Mean Index: Calculated by summing the scores of all five items and dividing by 5 (Range: 1.00 to 7.00). Higher scores directly reflect greater advertising-induced interest and information-seeking intent.
  • Summed Score Alternative: Total scores can range from 5 to 35, where scores approaching 35 indicate exceptional promotional engagement and elevated motivational arousal.
• Average Completion Duration: Approximately 60 to 90 seconds, presenting minimal cognitive burden and virtually eliminating survey fatigue.

11. Permissions & Fee and Test Year

The Ad Motivated Travel Interest scale was formally detailed and empirically validated in the peer-reviewed tourism marketing literature in 2020 through publication in the Journal of Travel Research (Sage Publications). The intellectual property rights governing the peer-reviewed manuscript reside with the original authors (Ali Selcuk Can, Yuksel Ekinci, C. Michael Hall, and Devrim Zeren) and Sage Publications.

For non-commercial educational endeavors, academic research projects, doctoral dissertations, and university-based experimental investigations, the AMTI scale items and methodology are generally available for academic use through scholarly fair use conventions, provided full academic attribution is credited to the authors’ 2020 article. Commercial utilization—such as integration into commercial software, fee-based market research platforms, or proprietary ad-testing protocols—requires explicit written permission and potential licensing clearance through Sage Publications or the primary authors.

12. References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
• Can, A. S., Ekinci, Y., Hall, C. M., & Zeren, D. (2020). On the relationship between self-congruence, cultural identification, and destination travel intention. Journal of Travel Research, 59(3), 524–536. https://doi.org/10.1177/0047287519845946
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning.
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
• Lavidge, R. J., & Steiner, G. A. (1961). A model for predictive measurements of advertising effectiveness. Journal of Marketing, 25(6), 59–62. https://doi.org/10.1177/002224296102500611
• Loewenstein, G. (1994). The psychology of curiosity: A review and reinterpretation. Psychological Bulletin, 116(1), 75–98. https://doi.org/10.1037/0033-2909.116.1.75
• Petty, R. E., & Cacioppo, J. T. (1986). The Elaboration Likelihood Model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2
• Sirgy, M. J. (1982). Self-concept in consumer behavior: A critical review. Journal of Consumer Research, 9(3), 287–300. https://doi.org/10.1086/208924

13. Items of the Scale