Entrepreneurial Thinking and Small Business performance: The Case of Beneficiary Companies of Jordanian Erada Program
Bibliographic record
Abstract
<p class="Default">This paper focused on the relationship between the four main dimensions of entrepreneurial thinking and the performance of 384 Jordanian companies. A survey of 384 small companies exposed the presence of a direct and positive relationship between the four dimensions of entrepreneurial thinking, namely identification of opportunity, risk-taking, tolerance ambiguity and creative and innovative, and performance. The findings highlighted the idea that the more the Jordanian companies identify their opportunities, accept the risk of success or failure, accept tolerance ambiguity and encourage the innovation, the more they will improve their performance. Furthermore, the outcome of the four relationships; innovation-performance, risk taking-performance, tolerance ambiguity-performance and opportunity identification-performance is enormous and statistically significant. This study offered references for enterprises of how their entrepreneurial thinking positively influences their performance.</p>
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".