A Qualitative Study on Individual Factors Affecting Iranian Women Entrepreneurs’ Growth Orientation
Bibliographic record
Abstract
Despite the impressive growth in the number of firms run by women entrepreneurs, most of these businesses continue to remain small and women-owned firms have not grown as fast as male entrepreneurs. There are many reasons that may help explain the growth limitations in women-owned firms. Amongall, growth orientation is an important factor. A common finding in entrepreneurship literature shows that ventures owned by women tend to be smaller than those by men are. This difference can be due toindividual, organizational and environmental factors.Since half of Iran’s population iswomen who are more willing to have higher education and contribution in the society, they deal with more challenges rather than their male counterparts. So attention to the factors affecting growth orientation of their ventures is the same as deliberate economic development and nationalincome. This is a qualitative study to identify individual factors affecting growth orientation in women’s businesses. Data analysis of 11 semi-structured interviews on a sample of women entrepreneurs indicated individual factors in four groups of “goals and aspirations”, “motives”, “female identity” and “personal characteristics”.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".