A MULTI-COUNTRY COMPARISON OF PERCEIVED ENVIRONMENTAL CHARACTERISTICS, INDUSTRY EFFECTS, AND PERFORMANCE IN ENTREPRENEURIAL FIRMS
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 paper examines the relationship between industry effects, environmental perceptions, and firm performance in a multi-country sample of entrepreneurial firms. Using a sample of 1045 finalists in Ernst & Young's International "Entrepreneur of the Year" competition, we examined whether environmental constructs that have been studied and validated in North American entrepreneurship research were generalizable to firms in fifteen countries located in Europe, Asia, and Africa. Using measures common to North American entrepreneurship research; we identified two environmental dimensions in subsamples of North American (United States and Canada) and non-North American firms: dynamism and hostility. However, while the constructs were identified in both subsamples, they also were not significantly associated with firm performance. We conclude the paper by suggesting this lack of environmental perception-firm performance relationship may be attributable to an entrepreneurial mindset that focuses on identifying and recognizing specific opportunities rather than responding to general characteristics of the external environment.
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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