Factors affecting the performance of micro-level women entrepreneurs: a comparative study between UAE and India
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
Purpose The study investigates the impact of various factors that affect the business performance of micro-level women entrepreneurs in the UAE and India. Design/methodology/approach A conceptual model including the factors that impact the performance of micro-level women entrepreneurs is proposed. The proposed model was validated with data collected through a structured questionnaire based on a cross-sectional survey conducted in the UAE and India. The collected data was analyzed using the structural equations modeling approach. Findings Findings revealed that factors such as competitive aggressiveness, incubation, innovativeness, market orientation and risk-taking propensity have a positive impact on business performance and growth in both countries. Factors like training, learning and finance orientation did not affect business performance. Originality/value Gender plays an essential and influential role in developing countries with regard to entrepreneurship. This research attempts to uncover the often-neglected area of women entrepreneurship.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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