Entrepreneurial motivations of women: Evidence from the United Arab Emirates
Bibliographic record
Abstract
This article explores the entrepreneurial motivations of women entrepreneurs in the United Arab Emirates. It analyses the impact of macro social forces and cultural values on the motivation for entrepreneurship and explores how post-materialism, legitimation and dissatisfaction theories may explain these motives. In-depth semi-structured interviews were conducted with local women entrepreneurs and analyzed using an interpretive approach. The results illustrate how Emirati women entrepreneurs navigate the patriarchy of their society, socio-economic realities, and structural and attitudinal organisational barriers to construct and negotiate their entrepreneurial motivations. The findings also illustrate how the entrepreneurial motivations of Emirati women unfold in a complex interplay between pull and push motivational factors within the Arab patriarchal and Islamic contexts, thus lending credence to the post-materialism, legitimation, and dissatisfaction theories, which collectively help explain the entrepreneurial motives of women in this context.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".