Innovation capabilities decoded: Risks and rewards in small and medium enterprise performance
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
Innovation capabilities form the basis for firms’ adapting to changing external environments and creating and sustaining competitive advantage. Yet we still know relatively little about the impact of the distinct types of innovation capabilities on firm performance and its reliability. Grounded in the organizational capability view of innovation, our study is the first to propose a theoretical framework linking the three distinct types of firm innovation capabilities (customer-, marketing-, and technology-focused) with the characteristics of the resulting performance distributions (level and variability) of small and medium enterprises. The presented empirical results reveal that distinct types of innovation capabilities have dramatically different risk–reward payoffs. In particular, customer-focused innovation capability improves the performance level while also rendering it unreliable. Marketing-focused innovation capability does not have a significant impact on firm performance, yet noticeably augments its variability. Finally, technology-focused innovation capability stabilizes performance without affecting its level.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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