SMEs’ Adaptation to Economic Downturns: The Impact of Exploration and Exploitation on Performance
Why this work is in the frame
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Bibliographic record
Abstract
Exploration and exploitation are two generic strategies of firm adaptation to their environment. However, the effectiveness and reliability of these approaches in different contexts are not fully understood. Employing the multiplicative heteroscedasticity regression model on the data from 500 Russian SMEs (survey supplemented with objective financial data), we assess the distinct impacts of exploration and exploitation activities on the distribution of firm performance (mean and variability effects) during the period of recovering from the economic downturn. We also examine the moderating impact of the firm-level crisis severity. We find unique evidence of how exploration and exploitation strategies contribute to the level of firm performance, but also to its variability. The findings provide an improved understanding of strategic management under economic crisis, with different levels of firm-specific severity.
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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 | 0.000 |
| 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