Configurations of Strategic Capabilities and SME Performance: An Exploratory Study of the Influence of National Context
Bibliographic record
Abstract
A consequence of the globalization of economic activities is that it allows SMEs from different countries to be aware of how companies with which they compete behave and to have access to the same information and the same resources. Does this mean that companies tend to deploy similar strategic capabilities and, consequently produce comparable performances? In order to answer this question, we must consider the national environment and the ecosystem in which companies operate, the laws of each country and where the resources and barriers are located, as well as their specific cultural elements. To understand the influence of the national environment on strategic capabilities and the performance of SMEs, we compared information for three groups of SMEs located in different national environments, that is, Canada, France, and Mexico. Our results shows that it is mainly through configurations of strategic capabilities that the influence of national context makes itself felt, suggesting that some cultural and institutional contexts could be more favorable to the development of certain types of configurations.
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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 | 0.000 | 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 | 0.000 | 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 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".