Country image determinants: Canada’s image in the Republic of Croatia
Bibliographic record
Abstract
Country image has been a challenging area of interest to scientists and marketing professionals for years. Results of a number of comprehensive research projects support assumptions on the importance of the impact that country image has on the decisions of consumers and businessmen with respect to the choice of products, services, business partners, markets, as well as tourist and foreign investment destinations. Knowledge of the determinants of the country image construct, their nature, intensity, direction and of the possibilities of their effective management is necessary indeed for strategic marketing reflection and action.The first part of the paper provides an overview of some international and local theoretical contributions. It was compiled in the chronological order to include the most interesting of such contributions, in the authors’ opinion, in which research objectives focus predominantly on identifying the source, nature, content, number and interdependence of different country image construct determinants. The second part describes research on Canada’s image that was conducted among the student population. Canada’s overall image was assessed on the basis of applied methodology. The estimated values of individual dimensions of Canada’s image were also determined in comparison to the estimated importance of individual country image dimensions in general. The level of the respondents’ active knowledge of Canada was analyzed by examining the content of their associations. Two hypotheses were tested. Despite limitations, results support the findings of previous research that had proven the multidimensionality of the country image construct, and the dependence of the value of its dimensions on the level of consumers’ and businessmen’s knowledge on and experience of a specific country.
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".