Prevalence and longitudinal trends of early internationalisation patterns among Canadian SMEs
Why this work is in the frame
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Bibliographic record
Abstract
Purpose Recently, studies call for a more nuanced perspective on different internationalization patterns pursued by early internationalizers. These studies argue that most born global firms turn out to be born regional and that the proportion of true born global firms would be overestimated. Moreover, literature claims that the proportion of born global firms increases over time due to macroeconomic trends. The purpose of this paper is to investigate these assumptions by providing a dynamic perspective on the prevalence of different types of internationalization patterns among Canadian small and medium‐sized exporters (SMEs). Design/methodology/approach To empirically examine the ideas above, the authors constructed a unique large‐scale longitudinal (1997‐2004) dataset. A multinomial logit model is employed to estimate a firm's predicted probability, Ceteris paribus , of choosing different internationalization patterns: born global, born regional, and gradual internationalization. Findings It is found that born global firms indeed account for a smaller proportion than born regional firms (16 per cent vs 27 per cent). However, evidence is found that born globals and born regionals are increasingly established over time and that macroeconomic factors seem to account for this development, at least partially. Originality/value Combining a rigorous empirical analysis with a unique large‐scale longitudinal dataset, the paper addresses two fundamental research questions in the international entrepreneurship (IE) literature: which internationalization pattern prevails; and if the born global pattern is increasingly established over time. The paper therewith theoretically contributes by comparing the predictive value of different internationalization frameworks (international new venture (INV) framework, stage‐models and regionalization hypothesis), toward which there is considerable current debate.
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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 | 0.001 |
| 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 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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