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Record W3093816355 · doi:10.5539/ibr.v13n11p96

The Relationship Between Tourism Destination Image, Perceived Value and Post-visiting Behavioral Intention of Chinese Tourist to Thailand

2020· article· en· W3093816355 on OpenAlexvenueno aff
Bing Zhang, Eksiri Niyomsilp

Bibliographic record

VenueInternational Business Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismDestination imageDestinationsSample (material)Value (mathematics)PsychologyMarketingAdvertisingOrder (exchange)BusinessGeographyComputer science

Abstract

fetched live from OpenAlex

The aim of this research was to study the relationship between tourism destination image, perceived value and post-visiting behavioral intention of Chinese tourist to Thailand. The methodology of this study is quantitative research in which questionnaire is the major tool in collected the primary data for analysis. The total sample of 400 Chinese tourists to Thailand was obtained for the analysis. The results of this study indicated that there is a significant positive impact of destination image on post-visiting behavioral intention; There is a significant impact of perceived value on post-visiting behavioral intention; There is a significant impact of destination image on perceived value; Perceived value plays a partial mediating role in the influence of tourist destination image on tourists' post-visiting behavioral intention. In order to enhance the competitiveness of tourism destinations, the study results suggest that organizations and marketers relevant to tourism industry in Thailand should improve the image of tourism destination and enhance the perceived value of tourists.

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)0.003
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.117
GPT teacher head0.445
Teacher spread0.328 · 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.

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

Citations13
Published2020
Admission routes1
Has abstractyes

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