OWNER-MANAGERS’ VISION AND ITS ROLE IN THE INTERNATIONALIZATION OF SMES: A MULTIPLE CASE STUDY OF MOROCCAN AND CANADIAN SMES IN THE AGRI-FOOD SECTOR
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
More often than not, theories and approaches developed in the context of large businesses fail to explain the internationalization of SMEs mostly because many researchers tend to treat them as small replicas of large companies. One alternative and promising research path is to focus on owner-managers attributes as they play a key role in such internationalization. The present contribution adopts the same perspective and takes as its main objective to study the role owner-manager’s vision plays in the internationalization of SMEs. The results obtained from a case study of ten Moroccan and Canadian agri-food SMEs, suggest that clear vision is associated with proactive internationalization, rather planned strategies, and increased international commitment.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it