From international travelling consumer to place ambassador
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The purpose of this paper is to extend international marketing theory by examining country image effects simultaneously from the perspectives of Product-Country Image (PCI), Tourism Destination Image (TDI), and General Country Image (GCI), and by using tourism satisfaction as the central construct in a comprehensive model that investigates post-visit effects in both the product and tourism domains. Design/methodology/approach International tourists from multiple countries were intercepted at the end of a tourism trip and interviewed in-person using a structured questionnaire, resulting in 498 usable responses for data analysis. The model comprised seven constructs measured with 28 variables and was tested with structural equation modelling. Findings The study uncovers a number of cross-effects between a country as destination and as producer, and establishes tourism satisfaction as a core construct that is relevant to both the tourism and product facets of place image. Practical implications Above all, the study’s findings argue strongly in favour of greater coordination between the “product” and “tourism” sides of place marketing. Originality/value The study is original in its integrative analysis of GCI, PCI, and TDI constructs as antecedents and consequences of the tourism experience and, among other original contributions, is the first to investigate the direct link between product beliefs, tourism satisfaction, and post-visit product-related intentions.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it