External knowledge resources and new venture success in developing economies: Leveraging innovative opportunities and legitimacy strategies
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 draws insights from entrepreneurial opportunity and organizational legitimacy perspectives to specify an intervening role of opportunity recognition and the contingency effect of entrepreneurial legitimacy to explain how and when external knowledge resources are associated with new venture performance. The conceptual model is tested on primary data from 230 new ventures operating in a sub-Saharan African economy: Ghana. Findings from the study indicate that the relationship between external knowledge resources and new venture performance is mediated by opportunity recognition and that high levels of both strategic and regulatory legitimacy strategies strengthen the indirect relationship. Theoretical implications and new venture management lessons drawn from these findings are discussed.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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