Democratizing Entrepreneurship? Digital Technologies and the Internationalization of Female-Led SMEs
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
This study examines how digital technologies affect the international expansion of female-led small and medium-sized enterprises (SMEs). Digital technologies have the potential to democratize entrepreneurship by providing access to international market knowledge and facilitating interactions with customers and partners. Building on the original Penrosean specification of the resource-based view and the notion of versatility of resources, we propose that digital technologies impact positively SME internationalization through the mediation of international market intelligence. Furthermore, we posit that female entrepreneurs will leverage the enabling effects of digital technologies more than their male counterparts. The hypotheses are tested on a representative sample of 300 Bulgarian SMEs. Implications for policy and research are advanced.
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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 | 0.000 | 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 | 0.001 |
| 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 it