The impact of geographic diversification on export performance of small and medium-sized enterprises (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
Two alternative diversification strategies—the geographic diversification of export sales and key market concentration—are extensively discussed in management, strategy, entrepreneurship, and economics literature. However, no conclusive evidence currently exists as to how either of these strategies affects the performance of international sales. This paper contributes to a better understanding of geographic diversification as a key dimension of the internationalization process for small and medium-sized enterprises (SMEs). In it, we analyze a comprehensive database of Polish exporters over a 3-year period to better understand the geographic diversification patterns of exporters. Based on this analysis, six propositions emerged from the export patterns examined and two viable strategies for exporting SMEs are identified: (1) concentrating on a single market and (2) a balanced approach aimed at targeting a small number of key markets, combined with a strategy of penetrating other markets. Implications for practice and future research are also discussed herein.
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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 | 0.000 |
| 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 it