Are SMEs with Immigrant Owners Exceptional Exporters?
Bibliographic record
Abstract
Immigrant owners possess valuable human and social capital from which small and medium-sized (SMEs) might derive advantages when internationalizing. According to this resource-based perspective, such advantages might be manifested in immigrant-owned SMEs’ enhanced ability to identify, evaluate, develop and exploit opportunities in international markets. However, an entrepreneurial cognition perspective offers an opposing view: insofar as immigrant owners are more prone to overconfidence than their non-immigrant counterparts, immigrant-owned SMEs might reap less financial benefits from internationalization. We pit the two perspectives against each other theoretically and empirically by evaluating a) the relationship between business owners’ immigrant status and SMEs’ export intensity, and b) the moderating role of immigrant ownership in the relationship between SMEs’ export intensity and financial performance. Based on a representative sample of 9,977 Canadian SMEs, we find that immigrant ownership positively affects export intensity; however, it negatively moderates the relationship between export intensity and financial performance, providing evidence for the entrepreneurial cognition perspective and the overconfidence hypothesis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".