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Record W4376278495 · doi:10.1080/14927713.2023.2211582

Examining the relationship between gastronomic experience, revisit intention, destination image and destination brand love: a moderating role of cewebrity reviews

2023· article· en· W4376278495 on OpenAlexvenueno aff
Shaply Abdul Kareem, Pulidindi Venugopal

Bibliographic record

VenueLeisure/Loisir · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMediationGastronomyAdvertisingSocial psychologySociologyTourismBusinessGeography

Abstract

fetched live from OpenAlex

The purpose of this study is to examine the relationship between the gastronomic experience and the revisit intention using a moderated serial mediation approach. The Stimulus-organism-response (S-O-R) is a theoretical lens to explore the novel relationship of experience-image-love-intention. A total of 448 responses were collected from a structured questionnaire distributed among domestic tourists on gastronomy tours. A moderated serial mediation model was performed using SmartPLS 4. The relationship between a gastronomic experience (GE) and revisit intention (RVI) was positive and significant. The mediation analysis revealed that the relationship between GE and RVI was partially mediated by destination image and destination brand love. The results of the moderated mediation indicated that cewebrity reviews moderate the relationship between gastronomic experience, destination image, and revisit intention. This research provides ways for marketers to improve gastronomic experiences through specialized gastronomic routes and itineraries to encourage tourists to revisit a destination.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.097
GPT teacher head0.302
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2023
Admission routes1
Has abstractyes

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