Strategic capability configurations for the internationalization of SMEs: A study in equifinality
Bibliographic record
Abstract
With the advent of globalization and the knowledge economy, an important issue lies in the strategic capabilities that enable the internationalization of SMEs. Using a configurational approach grounded in strategic management and contingency theory, we argue that strategic capabilities can be leveraged for purposes of small business internationalization to the extent that they are coaligned and thus constitute capability configurations. This gives rise to a first research question: What are the different organizational configurations that characterize SMEs with regard to their strategic capabilities for internationalization? And aiming to analyze the configuration-internationalization performance relationship under the assumption of equifinality, a property of open systems, we pose a second research question: Do the different capability configurations that characterize SMEs lead to equally successful outcomes in terms of internationalization? In answer to these questions, this article presents the results of a study of 292 manufacturing firms located in Canada and France.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".