Refugee Women’s Entrepreneurship: A Concept Analysis
Bibliographic record
Abstract
Purpose: This paper aims to conceptually define refugee women's entrepreneurship in host countries, filling a literature gap on its gendered aspects and effects on well-being and integration. It seeks to clarify this concept and its impact on refugee women's empowerment, autonomy, and community contribution. Design/methodology/approach: Employing the Walker and Avant (2011) method, this analysis methodically reviews literature on refugee women's entrepreneurship, identifying key attributes, antecedents and consequences of refugee women’s entrepreneurship. The study grounds these findings in real-world cases and theory. Findings: The analysis shows that refugee women pursue entrepreneurship to overcome employment obstacles, using their resilience and creativity. It provides a route to empowerment, independence, and integration, improving well-being and challenging gender norms, while positively impacting the host society's economy and social structure. Conclusion and implications: This concept analysis uniquely deepens our insight into refugee women's entrepreneurship, offering an intricate conceptualization that bridges economic, social, cultural, and psychological facets. It positions entrepreneurship as a strategic response to displacement with profound implications for policy and practice. This concept analysis emphasizes the need for policies and programs that support refugee women's entrepreneurship, aiding their integration and enhancing host economies. It also underscores entrepreneurship's role in advancing gender equality, social inclusion, and community resilience, advocating for wider recognition of these entrepreneurs' societal contributions. Keywords: Refugee women; entrepreneurship; concept analysis; Walker and Avant
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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 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".