Environmental Conditions, Entrepreneur Alertness and Social Capital on 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
<p>This study addresses the important question of causal complexity as it relates to the influence of social capital, entrepreneurial alertness and the entrepreneurship environment on business performance. Using a relatively new methodological approach, namely fuzzy-set qualitative comparative analysis (fsQCA), this paper aims to investigate alternative complex antecedent conditions (or causal recipes) that lead to high performance. Based on a survey of 194 entrepreneurs in China, this paper shows that business performance is likely to be the result of a combination of causal factors. This study finds that: (1) four different configurations of social capital, entrepreneurial alertness and entrepreneurship environment were “equifinal” causes of high performance, and (2) market openness should fit other environmental conditions to achieve high performance. This study contributes to research on entrepreneurship by applying the ideas of “equifinality” and “fit” to entrepreneurial characteristics and environment theory.</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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